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Layered vanadium-based oxides have emerged as highly promising candidates for aqueous zinc-ion batteries (AZIBs) due to their open-framework layer structure and high theoretical capacity among the diverse cathode materials investigated. However, the susceptibility to structural collapse during charge-discharge cycling severely hampers their advancement. Herein, we propose an effective strategy to enhance the cycling stability of vanadium oxides. Initially, the structural integrity of the host material is significantly reinforced by incorporating bi-cations Na + and NH 4 + as "pillars" between the V 2 O 5 layers (NaNVO). Subsequently, surface coating with polyaniline (PA) is employed to further improve the conductivity of the active material. As anticipated, the assembled Zn//NaNVO@PA cell exhibits a remarkable discharge capacity of 492 mAh g -1 at 0.1 A g -1 and exceptional capacity retention up to 89.2 % after 1000 cycles at a current density of 5 A g -1 . Moreover, a series of in-situ and ex-situ characterization techniques were utilized to investigate both Zn ions insertion/extraction storage mechanism and the contribution of polyaniline protonation process towards enhancing capacity., (© 2024 Wiley-VCH GmbH.)

Background: Hyperprogressive disease (HPD) is a novel pattern of paradoxically rapid tumor progression, which often leads to early death, mostly in the first 2 months of treatment with immune checkpoint inhibitors (ICIs). Currently, there is no validated biomarker to assess patients at risk of HPD., Aim: The aim of this study was to systematically evaluate the predictive value of the neutrophil-to-lymphocyte ratio (NLR) in HPD and establish a reliable variable to support clinicians in defining personalized treatment strategies., Methods: PubMed, Embase, Web of Science, Scopus, and Cochrane Library databases were searched for studies published before 31 December 2023. The Newcastle-Ottawa Scale (NOS) was used to evaluate the quality of eligible studies. The pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using a random-effects or a fixed-effects model to evaluate the association between the NLR and the risk of HPD., Results: A total of 17 studies with 2,964 patients were included for meta-analysis. The incidence of HPD across different types of tumors ranged from 6.3% to 35.6%. In the pooled analysis of the NLR and HPD, we identified that the NLR significantly associated with the risk of HPD (OR = 0.65; 95% CI: 0.46 to 0.91; p = 0.01) ( I 2 = 52%, p = 0.007)., Conclusion: In the future, the NLR may serve as a remarkable biomarker for predicting the risk of HPD in clinical practice., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Pei, Zhang, Lai and Chen.)

Study Design: Retrospective observational study., Objectives: Scoliosis is commonly observed in adolescents, with a world0wide prevalence of 0.5%. It is prone to be overlooked by parents during its early stages, as it often lacks overt characteristics. As a result, many individuals are not aware that they may have scoliosis until the symptoms become quite severe, significantly affecting the physical and mental well-being of patients. Traditional screening methods for scoliosis demand significant physician effort and require unnecessary radiography exposure; thus, implementing large-scale screening is challenging. The application of deep learning algorithms has the potential to reduce unnecessary radiation risks as well as the costs of scoliosis screening., Methods: The data of 247 scoliosis patients observed between 2008 and 2021 were used for training. The dataset included frontal, lateral, and back upright images as well as X-ray images obtained during the same period. We proposed and validated deep learning algorithms for automated scoliosis screening using upright back images. The overall process involved the localization of the back region of interest (ROI), spinal region segmentation, and Cobb angle measurements., Results: The results indicated that the accuracy of the Cobb angle measurement was superior to that of the traditional human visual recognition method, providing a concise and convenient scoliosis screening capability without causing any harm to the human body., Conclusions: The method was automated, accurate, concise, and convenient. It is potentially applicable to a wide range of screening methods for the detection of early scoliosis., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Immune nutrition, as an integral component of nutritional support therapy, has garnered significant attention and research in the treatment of gastrointestinal malignancies. Recent advancements in nutritional formulas containing components such as glutamine, omega-3 polyunsaturated fatty acids, and arginine have led to the development of what is now termed immune nutrition or pharmacological nutrition. These formulations go beyond traditional nutritional support, functioning more like nutritional supplements with pharmacological effects. Patients with gastrointestinal malignancies often experience malnutrition and metabolic disturbances, resulting in immune dysfunction, cytokine dysregulation, and endocrine abnormalities. These issues can compromise intestinal mucosal barrier function, affecting the efficacy and prognosis of anticancer therapies. Recent studies indicate that immune nutrition can modulate specific mechanisms involved in various immune and inflammatory pathways, thereby improving patients' immune status and treatment outcomes. While optimal patient selection, dosing, and timing of immune nutrition are still under investigation, its potential applications in oncology are promising. This article aims to analyze the existing evidence regarding the therapeutic benefits of immune nutrition in gastrointestinal malignancies, offering insights into its clinical standardization and application., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Ma, Pei, Wu, Wang, Yu and Yang.)

Objective: To investigate the causal relationship between trimethylamine N-oxide (TMAO) and its precursors (betaine, carnitine, and choline) and pancreatic diseases based on the Mendelian randomization (MR) method., Methods: Genome-wide association study data of TMAO, betaine, carnitine, choline, acute pancreatitis (AP), chronic pancreatitis (CP), pancreatic cancer (PC), and circulating immune cell characteristics (white blood cell, lymphocyte, monocyte, neutrophil, eosinophil and basophil) were collected. According to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE)-MR reporting guidelines, the available genetic variants [single nucleotide polymorphism (SNP)] were strictly screened. The causal relationship between exposure (TMAO and its precursors) and outcomes (pancreatic diseases and circulating immune cell characteristics) was evaluated using inverse variance weighting (IVW), MR-Egger regression and weighted median. The reliability of the results was evaluated by sensitivity analysis based on MR-Egger regression, MR-PRESSO, Cochrane's Q test and leave-one-out method., Results: A total of 36 SNP associated with TMAO and its precursors were included. Five of these were associated with TMAO, 13 with betaine, 12 with carnitine, and 6 with choline. (1) MR analysis showed that TMAO may increase the risk of AP [odds ratio (OR) = 1.100, 95% confidence interval (95%CI) was 1.008-1.200, P = 0.032], and choline may reduce the risk of alcoholic acute pancreatitis (AAP; OR = 0.743, 95%CI was 0.585-0.944, P = 0.015). The analysis results of MR-Egger regression and weighted median were consistent with the IVW results. There is no evidence to support a causal relationship between TMAO and its precursors and the risk of CP and PC. Sensitivity analysis indicated that SNP analyzed by MR showed no heterogeneity and low pleiotropy. The leave-one-out method analysis determined that after excluding any SNP, the effect intervals of the remaining SNP on the results were similar to the overall effect intervals, which suggested the robustness of MR results. (2) There was a positive causal relationship between plasma TMAO level and circulating monocyte count (OR = 1.017, 95%CI was 1.000*-1.034, P = 0.048, * represented that the data was obtained by correcting to 3 decimal places from 1.000 1). The causal effect obtained by MR-Egger regression and weighted median analysis was consistent with the results of IVW. Sensitivity analysis illustrated SNP analyzed by MR showed no heterogeneity and pleiotropy. The leave-one-out method analysis determined that after excluding any SNP, the effect intervals of the remaining SNP on the results were similar to the overall effect intervals, which suggested the robustness of MR results., Conclusions: TMAO and choline may change the risk of AP, and TMAO may contribute to the increase of circulating monocyte count in AP.

Hard carbon (HC) is a promising anode material in alkali metal ion batteries owing to its cost-effectiveness, abundant sources, and low working voltage. However, challenges persist in achiving prolonged cycling stability and consistent capacity, and the sodium storage mechanism in HC is still debated. Herein, an unreported biomass precursor, "sisal," for deriving hard carbon is developed. A series of sisal hemp-derived hard carbon with natural 3D porous channels are prepared. Through phase characterization and electrochemical testing, the relationship between microstructure and sodium storage capacity is elucidated, further confirming the suitability of the "adsorption-insertion-filling" mechanism for sodium storage properties in hard carbon materials. Without the need for any additional modification strategies, this biomass-derived hard carbon demonstrates excellent electrochemical performance in both sodium-ion and potassium-ion batteries (SIBs and PIBs). The as-prepared HC-1300 demonstrates excellent ion storage capability, delivering a high reversible capacity of 345.2 mAh g -1 in SIBs and 310 mAh g -1 in PIBs at 0.1 C. Moreover, it maintains a specific capacity of 237.3 mAh g -1 over 1200 cycles at 1 C when used in SIBs. The excellent cycling stability and superior rate performance are also presented in full cells, highlighting its potential for practical applications., (© 2024 Wiley‐VCH GmbH.)

This study was conducted with the primary objective of assessing the performance of cfDNA methylation in the detection of colorectal cancer (CRC). Five tumor tissue, 20 peripheral blood leucocyte, and 169 cfDNA samples were collected for whole-genome bisulfite sequencing (WGBS) analysis. Bioinformatic analysis was conducted to identify differentially methylated regions (DMRs) and their functional characteristics. Quantitative methylation-specific PCR (qMSP) was used to validate the methylation levels of DMRs in the tissues and leucocytes. cfDNA samples from CRC patients and healthy controls were used to evaluate the performance of the DMR analysis. WGBS analysis revealed a decrease in DNA methylation levels in the CpG context in CRC tumor tissues compared with adjacent normal tissues. A total of 132 DMRs in cfDNA were identified as potential markers for diagnosing CRC. In a cohort of 95 CRC patients and 74 healthy controls, a combination of the three DMRs ( DAB1 , PPP2R5C , and FAM19A5 ) yielded an AUC of 0.763, achieving 64.21% sensitivity and 78.38% specificity in discriminating CRC patients from healthy controls. This study provides insights into DNA methylation patterns in CRC and identifies a set of DMRs in cfDNA with potential diagnostic value for CRC. These DMRs hold promise as biomarkers for CRC detection, offering promise for non-invasive CRC diagnosis. Further research is warranted to validate these findings in larger cohorts.

Seaweed fertilizer, formulated primarily with seaweed extract as its main ingredient, has been extensively studied and found to significantly improve nutrient use efficiency, increase crop yield and quality, and enhance soil properties under field conditions. This growing body of evidence shows that seaweed fertilizer is a suitable option for sustainable agriculture in China. However, a comprehensive and quantitative analysis of the overall effects of seaweed fertilizer application in China is lacking. To address this gap, we conducted a meta-analysis of relevant studies on the effects of seaweed fertilizers under field conditions in China with MetaWin and SPSS software. Our analysis examined the effects of seaweed fertilizers on crop yield, quality, and growth under different preparation methods, application techniques, and regions. Our results showed that the application of seaweed fertilizer led to a significant average increase in crop yield of 15.17% compared with the control treatments. Root & tuber crops exhibited the most pronounced response, with a yield boost of 21.19%. Moreover, seaweed fertilizer application significantly improved crop quality, with elevations in the sugar-acid ratio (38.32%) vitamin C (18.07%), starch (19.65%), and protein (11.45%). In addition, plant growth parameters such as height, stem thickness, root weight, and leaf area showed significant enhancement with seaweed fertilizer use. The yield-increasing effect of seaweed fertilizers varied depending on their preparation and use method, climate, and soil of application location. Our study provides fundamental reference data for the efficient and scientific application of seaweed fertilizers in agricultural practices., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Pei et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Within the global architecture, engineering, and construction industry, the use of Building Information Modeling (BIM) technology has significantly expanded. However, given the unique characteristics of road infrastructure, the application of BIM technology is still being explored. This article focuses on the Yuanchen Expressway, exploring innovative applications of BIM technology in comprehensive construction management. The project employs advanced technologies, including BIM, Geographic Information Systems (GIS), and the Internet of Things (IoT), to precisely identify critical nodes and breakthroughs. Supported by a detailed BIM model and a multi-level, diversified digital management platform, the project effectively addresses construction challenges in multiple tunnels, bridges, and complex interchanges, achieving intelligent construction innovation throughout the Yuanchen Expressway with BIM technology. By guiding construction through BIM models, utilizing a BIM+GIS-based management cloud platform system, and employing VR safety briefings, the project effectively reduces the difficulty of communication and coordination in project management, shortens the project measurement cycle, improves on-site work efficiency, and ensures comprehensive control and safety management. This article provides an exemplary case for the application of full-line construction management using BIM technology in the highway sector both in China and globally, offering new perspectives and strategies for highway construction management., (© 2024. The Author(s).)

Introduction: Gynecological diseases ranked second among new cases of noncommunicable diseases in women of reproductive age in 1990 and 2019 globally. The aim of this study was to estimate the disease burden of gynecological diseases and describe their trends in women of all ages from 1990 to 2019., Methods: Using data from the Global Burden of Diseases, Injuries and Risk Factors Study (GBD 2019), authors examined the incidence, disability-adjusted life years, and deaths from gynecological diseases by age in 204 countries and territories worldwide from 1990 to 2019. Analyses were conducted in 2022., Results: Globally, the age-standardized incidence rate and age-standardized disability-adjusted life year rate (ASDR) of gynecological diseases decreased by -0.176% and -0.245%, respectively from 1990 to 2019. Low socioeconomic development index countries had the highest age-standardized incidence rate and ASDR in 2019. The age-specific incidence rate of gynecological diseases in women aged 15-29 years increased from 1990 to 2019, and the 20-24-year age group increased the greatest by 0.21%. Polycystic ovary syndrome and other types of benign disorders contributed to the major increase., Conclusions: Although the disease burden of gynecological diseases decreased slightly between 1990 and 2019 globally, it remained highest in low socioeconomic development index countries. The disease burden in 20-24-year age group exhibited the fastest growth, with polycystic ovary syndrome and other types of benign disorders playing a significant role. Urgent and effective measures should be taken to target different age groups, types of gynecological disease, and regions with high disease burdens., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: The study aimed to examine the association between the systemic immune-inflammation index (SII), a contemporary metric of systemic inflammatory response, and biological aging, which are closely interconnected processes., Methods: This cross-sectional study utilized 10 cycles of data from the NHANES database spanning from 1990 to 2018. The study examined the relationship between the SII index, calculated as P * N/L, where P represents preoperative peripheral platelet count, N represents neutrophil count, and L represents lymphocyte count, and biological aging. Biological aging was assessed through various methods, such as phenotypic age, phenotypic age acceleration (PhenoAgeAccel), biological age, and biological age acceleration (BioAgeAccel). Correlations were analyzed using weighted linear regression and subgroup analysis., Results: Among the 7,491 participants analyzed, the average age was 45.26 ± 0.34 years, with 52.16% being female. The average phenotypic and biological ages were 40.06 ± 0.36 and 45.89 ± 0.32 years, respectively. Following adjustment for potential confounders, elevated SII scores were linked to increased phenotypic age, biological age, Phenotypic age acceleration, and Biological age acceleration. Positive correlations were observed between health behavior and health factor scores and biological aging, with stronger associations seen for health factors. In health factor-specific analyses, the β coefficient was notably higher for high BMI. The robust positive associations between SII scores and both phenotypic age and biological age in the stratified analyses were consistently observed across all strata., Conclusion: The evidence from the NHANES data indicate that SII may serve as a valuable marker for assessing different facets of aging and health outcomes, such as mortality and the aging process. Additional research is warranted to comprehensively elucidate the implications of SII in the aging process and its utility as a clinical instrument for evaluating and addressing age-related ailments., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Wang, Ren, Li, Hu, Zhou, Sun, Pei, Li, Peng, Yu, Zhao, Huang, Chen and Huang.)