Fundamental Attributes Research Articles

Issuance of urban investment bonds and high-quality urban economic development

High-quality economic development is a significant issue in China's new era, wherein an active government plays a crucial role in the rational allocation of public resources. This study examines the impact of urban investment bond issuance on the high-quality development of urban economies using panel data from Chinese cities. It further explores the specific mechanisms and regional heterogeneity of this impact. By clarifying the fundamental attributes and channels of influence of urban investment bonds, this study incorporates regional debt elements as a unique factor into the spatial Durbin model to investigate their specific spatial spillover effects, aiming to broaden and enrich economic growth theory. The findings reveal that urban investment bond issuance significantly promotes high-quality urban economic development and has a positive spatial spillover effect. The primary mechanisms include alleviating fiscal pressure, enhancing research and development expenditure, and increasing educational spending. Heterogeneity analysis indicates that the promotion effect of urban investment bonds on high-quality urban economic development is not significant in central and western cities. This study provides theoretical and practical insights into accurately understanding the relationship between government-issued urban investment bonds and high-quality economic development and aids different regions and cities in identifying their unique positions to implement tailored debt issuance strategies.

Clean Hydrogen and Fuel Cell Vehicles

In this paper, a comprehensive synthesis of salient points from pertinent literature in the field is presented, accompanied by an analytical review of extant experimental data. The mechanisms underlying the utilization of green hydrogen in fuel cell vehicles are meticulously dissected from the perspectives of hydrogen production, storage, and utilization. An in-depth investigation into the energy conversion efficiency within the hydrogen production phase is conducted, as well as an examination of the energy conversion efficiency when utilizing green hydrogen as a fuel within fuel cell vehicles. Moreover, the article provides an informative overview of the fundamental attributes and performance metrics of fuel cell vehicles. It conducts a comparative analysis against traditional internal combustion engine vehicles, considering variables such as safety profiles, refueling duration, fuel mass, and fuel cost implications. The advantages of deploying fuel cell vehicles are analyzed, elucidating their benefits. Conversely, the article also enumerates the shortcomings and current bottlenecks faced by fuel cell vehicles, offering a critical view of their current limitations. Furthermore, the study delves into prevalent methods for green hydrogen production, positioning green hydrogen as a viable solution to the current challenges of carbon neutrality. The article culminates by suggesting the role of green hydrogen in spearheading future low-carbon development initiatives, thereby delineating a prospective roadmap for sustainable energy advancement.

A transformer-based approach to Nigerian Pidgin text generation

AbstractThis paper describes the development of a transformer-based text generation model for Nigerian Pidgin also known as Naijá, a popular language in West Africa. Despite its wide use, Nigerian Pidgin remains under-resourced, particularly in areas related to text generation and natural language processing. These difficulties are primarily due to technological constraints rather than the language’s fundamental attributes. There is currently a demand for Nigerian Pidgin-specific solutions because it is used in everyday communication and has a unique linguistic blend. This paper aims to close this gap by exploring the application of state-of-the-art transformer technology to develop a text generation model for Nigerian Pidgin. This work uses the public Afriberta-corpus dataset to optimize the Generative Pre-trained Transformer (GPT-2) model across a sizeable dataset. The performance evaluators, BLEU and Perplexity metrics provide a detailed breakdown of the model’s text quality and predictive accuracy. Despite the difficulties caused by a limited amount of training data, preliminary evaluations show that the model can generate coherent Nigerian Pidgin text. The performance evaluation yielded perplexity scores of 43.56 for variable target reference length and 43.26 for fixed text length. BLEU scores of 0.15 for fixed max length and 0.56 for variable reference target length. This highlights the quality of generated text and the significant improvement when the generated text length is aligned with the reference target. Our work was benchmarked against African American Vernacular (AAVE) revealing that BLEU scores for AAVE are significantly lower than those for Standard American English, with BLEU given as 0.26. Our Nigerian Pidgin model, with a BLEU score of 0.56, shows a better performance. However, both results suggest that both dialects are challenging for language models. Leveraging the pre-trained transformer-based language model and evaluation metrics, we showcase the model’s capacity for coherent Nigerian Pidgin text generation. For future research, the research work can serve as a good foundation for advancement and progress in the Nigerian Pidgin language generation and other low-resource languages.

Decoding modular reconfigurable robots: A survey on mechanisms and design

The intrinsic modularity and reconfigurability of modular reconfigurable robot (MRR) systems confer advantages such as versatility, fault tolerance, and economic efficacy, thereby showcasing considerable potential across diverse applications. The continuous evolution of the technology landscape and the emergence of diverse conceptual designs have generated multiple MRR categories, each described by its respective morphology or capability characteristics, leading to some ambiguity in the taxonomy. This paper conducts a comprehensive survey covering a wide range of mechanism and design aspects of MRR systems, spanning from 1985 to 2023. It introduces an innovative, unified conceptual framework for understanding MRR hardware, which encompasses three pivotal elements: connectors, actuators, and homogeneity. Through the utilization of this trilateral framework, this paper systematically interprets and classifies MRR systems over the years, aiming to provide a structured taxonomy perspective and enhance understanding of MRR. It explains the fundamental attributes characterizing MRR systems and their compositional aspects, providing insights into their design, technology, functionality, and categorization. Augmented by the proposed trilateral framework, this paper also elaborates on the trajectory of evolution, prevailing trends, principal challenges, and potential prospects within the field of MRR.

Sustainable Mobility in the Century of Metropolises: Case Study of Greater London

The 21st century, known as the “metropolitan century”, saw urban populations exceed half the global populace. By 2035, emerging metropolises, particularly in Asia and Africa, highlight the urgent need for research on urban growth, demographics, and mobility’s role in sustainable development. The objective of this study is to explore the key aspects of mobility essential for sustaining metropolitan regions, with a focus on the case of Greater London. The research aims to understand, through interview analysis and urban theories, how mobility contributes to socio-spatial equity, connectivity, and integrated governance, highlighting the importance of sustainability—such as decarbonization and the promotion of non-motorized transport—in the context of global sustainable development commitments. This research, through a convergent analysis of interviewees’ responses, has identified thirty-one fundamental attributes to enhance our understanding of sustainable mobility. The results indicate that mobility is a key driver for socio-spatial equity, connectivity, and integrated governance within metropolitan regions; it also shows that successful infrastructure work necessarily calls for collaboration between different administrative levels. Finally, the imperative for sustainability in mobility—as exemplified by decarbonization and the encouragement of non-motorized transport—arises as an urgent element in ordering development at the urban scale vis-à-vis global sustainability commitments, such as SDG 11.

Nanoengineering-armed oncolytic viruses drive antitumor response: progress and challenges.

Oncolytic viruses (OVs) have emerged as a powerful tool in cancer therapy. Characterized with the unique abilities to selectively target and lyse tumor cells, OVs can expedite the induction of cell death, thereby facilitating effective tumor eradication. Nanoengineering-derived OVs overcome traditional OV therapy limitations by enhancing the stability of viral circulation, and tumor targeting, promising improved clinical safety and efficacy and so on. This review provides a comprehensive analysis of the multifaceted mechanisms through which engineered OVs can suppress tumor progression. It initiates with a concise delineation on the fundamental attributes of existing OVs, followed by the exploration of their mechanisms of the antitumor response. Amid rapid advancements in nanomedicine, this review presents an extensive overview of the latest developments in the synergy between nanomaterials, nanotechnologies, and OVs, highlighting the unique characteristics and properties of the nanomaterials employed and their potential to spur innovation in novel virus design. Additionally, it delves into the current challenges in this emerging field and proposes strategies to overcome these obstacles, aiming to spur innovation in the design and application of next-generation OVs.

Characterization of alkali treated and untreated Abutilon indicum FIBERS

The primary objective of this study is to characterize Abutilon indicum stem Fibres (AIF) obtained through the water retting method. The fundamental attributes were investigated for untreated and alkali-treated AIFs, including physical and chemical properties, thermal stability as determined by thermogravimetric analysis, functional groups as identified by Fourier transform infrared spectroscopy (FTIR), crystalline properties as determined by X-ray diffraction (XRD) analysis, surface roughness as assessed by atomic force microscopy (AFM), and surface textures as determined by scanning electron microscopy (SEM) images. Results convey that, the surface-modified fibers upon alkali treatment exhibit an increase in cellulose composition from 56.12 % to 65.43 % and a reduction in hemi-cellulose, lignin, moisture and wax content. Such a higher composition of cellulose content in the fibers influenced the surface roughness, crystalline size and crystalline index (CI) which thereby indicates the presence of Cellulose III1 and other crystallites arranged in order over the alkali-treated AIFs. Alkali treatment increased the degradation temperature and thermal stability from 1750 C to 2020 C and 302.60 C to 3400 C, respectively. From the above-mentioned test results, it is evident that the surface-modified AIFs from alkali treatment provided more desired results than the untreated counterparts.

Feasibility of Vis-NIR spectroscopy approach to predict soil biological attributes in arid land soils.

Visible and near-infrared (Vis-NIR) reflectance spectroscopy has recently emerged as an efficient and cost-effective tool for monitoring soil parameters and provides an extensive array of measurements swiftly. This study sought to predict fundamental biological attributes of calcareous soils using spectral reflectance data in the Vis-NIR range through the application of partial least square regression (PLSR) and stepwise multiple linear regression (SMLR) techniques. The objective was to derive spectrotransfer functions (STFs) to predict selected soil biological attributes. A total of 97 composite samples were collected from three distinct agricultural land uses, i.e., sugarcane, wheat, and date palm, in the Khuzestan Province, Iran. The samples were analyzed using both standard laboratory analysis and proximal sensing approach within the Vis-NIR range (400-2500 nm). Biological status was evaluated by determining soil enzyme activities linked to nutrient cycling including acid phosphatase (ACP), alkaline phosphatase (ALP), dehydrogenase (DEH), soil microbial respiration (SMR), microbial biomass phosphorus (Pmic), and microbial biomass carbon (Cmic). The results indicated that the developed PLSR models exhibited superior predictive performance in most biological parameters compared to the STFs, although the differences were not significant. Specifically, the STFs acceptably accurately predicted ACP, ALP, DEH, SMR, Pmic, and Cmic with R2val (val = validation dataset) values of 0.68, 0.67, 0.65, 0.65, 0.76, and 0.72, respectively. These findings confirm the potential of Vis-NIR spectroscopy and the effectiveness of the associated STFs as a rapid and reliable technique for assessing biological soil quality. Overall, in the context of predicting soil properties using spectroscopy-based approaches, emphasis must be placed on developing straightforward, easily deployable, and pragmatic STFs.

Exploring Non-Saccharomyces yeasts from Daqu for beer production

Daqu is an essential component in the solid-state fermentation of Chinese Baijiu, and non-Saccharomyces yeasts from Daqu significantly contribute to the complex flavors in Baijiu. However, the potential of non-Saccharomyces yeasts from Daqu in beer production has remained unexplored. In this study, 80 strains representing 14 non-Saccharomyces yeast species were isolated from various Daqu. These strains were scrutinized for their stress tolerance, flocculation, fermentation performance, and the production of flavor compounds. Subsequently, representative strains were chosen for beer production, and the resulting products from both single- and mixed-strain fermentations underwent sensory evaluation. Toruaspora delbrueckii TD2 exhibited excellent fermentation properties in wort. In compared to US-05, the non-Saccharomyces yeast strains tested significantly increased volatile favor compounds. Notably, the Wickerhamomyces anomalus strain showed a 13.86-fold increase in ethyl acetate production, while the Hanseniaspora osmophila strain displayed a 7-fold increase in phenylethyl acetate production. Co-fermentations of these strains with US-05 did not impact attenuation and ethanol concentration but significantly enhanced aromatic profiles. This study offers valuable insights into the fundamental attributes and brewing potential of non-Saccharomyces yeasts sourced from Daqu, broadening the spectrum of yeast selection for the creation of innovative beers.

Introduction to the Special Issue on Early Evolution and the Last Common Ancestor.

The early evolution of life spans an extensive period preceding the emergence of the first eukaryotic cell. This epoch, which transpired from 4.5 to 2.5 billion years ago, marked the advent of many fundamental cellular attributes and witnessed the existence of the Last Common Ancestor (LCA) of all life forms. Uncovering and reconstructing this elusive LCA's characteristics and genetic makeup represents a formidable challenge and a pivotal pursuit in early evolution. While most scientific accounts concur that the LCA resembles contemporary prokaryotes, its precise definition, genome composition, metabolic capabilities, and ecological niche remain subjects of contentious debate.

Rethinking the Complexities of the Body and Disability: Theological Account

The biological aspect of human embodiment frequently constitutes the primary basis for personal assessment, with an emphasis on rationality, free choice, material well-being, and happiness as fundamental attributes of worth. This perspective is also evident in cultural practices of body modification, which reflect societal standards and identity expression. The promotion of standards of bodily appearance that are often considered unrealistic within contemporary culture has the effect of creating a social environment in which those who do not conform to these standards are rejected and stigmatized. This can include individuals with disabilities, the elderly, or those with chronic illnesses and different bodily appearances. In the majority of cases, the so-called ‘body capital’ culture views the disabled body through the lens of a person’s physical appearance, which is, to a certain extent, associated with a biological dysfunction or reflects a kind of physical disability or vulnerable corporeality. This paper seeks to examine perspectives on the body through the lenses of major discourses surrounding disability, biblical anthropology, and disability theology. These perspectives advocate for the intrinsic dignity and value of the disabled body, challenging contemporary norms and projections upon the body, by underscoring the biographical, interdependent, and spiritual dimensions of human embodiment. This approach stands as an alternative to the reductionist view of the body, which prioritizes physical attributes over a comprehensive understanding of complete personhood.

Chemically programmed metabolism drives a superior cell fitness for cartilage regeneration.

The rapid advancement of cell therapies underscores the importance of understanding fundamental cellular attributes. Among these, cell fitness-how transplanted cells adapt to new microenvironments and maintain functional stability in vivo-is crucial. This study identifies a chemical compound, FPH2, that enhances the fitness of human chondrocytes and the repair of articular cartilage, which is typically nonregenerative. Through drug screening, FPH2 was shown to broadly improve cell performance, especially in maintaining chondrocyte phenotype and enhancing migration. Single-cell transcriptomics indicated that FPH2 induced a super-fit cell state. The mechanism primarily involves the inhibition of carnitine palmitoyl transferase I and the optimization of metabolic homeostasis. In animal models, FPH2-treated human chondrocytes substantially improved cartilage regeneration, demonstrating well-integrated tissue interfaces in rats. In addition, an acellular FPH2-loaded hydrogel proved effective in preventing the onset of osteoarthritis. This research provides a viable and safe method to enhance chondrocyte fitness, offering insights into the self-regulatory mechanisms of cell fitness.

Citizen Adoption of E-Government Services: A Systematic Literature Review with Weight and Meta-Analysis

This study investigates the determinants influencing citizens' intentions to embrace and use e-government services in developing countries. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, known for their rigorous and systematic approach, are employed to examine the fundamental attributes, provide extensive descriptive statistics, synthesize the elements, use analytical tools, and present the results from the selected quantitative papers. A weighted meta-analysis was performed on forty-three quantitative research articles on e-government adoption, encompassing 401 relationships, and published in journals within the last ten years. All the participants are from the Asian and African continents. The findings suggest that perceived trust, perceived quality, performance expectancy, effort expectancy, social influence, self-efficacy, and facilitating conditions are the most crucial factors of behavioral intention via the mediation effects of attitude and perceived satisfaction. Furthermore, several demographic characteristics, such as age, gender, education, and experience with e-government services, moderate the association between the mediators and behavioral intention. Thus, we propose a new citizen-centric model named the Integrated Model of E-government Adoption (IMEGA), designed to address the current research gap and predict the extent to which citizens in developing countries would accept e-government services. This paper examines the implications of the findings for both theoretical frameworks and practical applications. Furthermore, the limits of the current study are acknowledged, and future research directions have been provided.

Regional Seismic Damage Prediction of Buildings Based on Bayesian Network and Community Information Database: A Case Study in Shanghai

ABSTRACT The development of the Community Information Database (CID) provides an opportunity to enhance the accuracy of predicting regional seismic damage. The CID includes fundamental attributes of buildings and daily operation information such as maintenance record, loading variation, and structural defect inspection. However, existing models cannot leverage the daily operational information of the CID to calibrate the real-time seismic performance of regional buildings. In this study, a novel Bayesian network (BN) model is proposed to assess the regional seismic damage of buildings based on information provided by the CID. Buildings in an area in Shanghai, China, are selected to investigate the applicability and accuracy of the proposed model. The investigation indicated that the proposed model can synthesize seismic fragility curves and matrices for various building types and calibrate the prediction based on daily operational information such as structural defect, structural alteration, and property management. If the CID has missing building attributes, the proposed model can also utilize an embedded subnetwork to supply the database. Therefore, the proposed model integrates more comprehensive information than the traditional methods to enhance the accuracy of predicting the regional seismic damage.

Transport enhancement in the laminar rotating disk boundary layer

Enhanced momentum and heat transport in a three-dimensional rotating disk boundary layer due to the consideration of a wavy disk surface is an already known fact in the literature. Such a transport enhancement is primarily associated with two fundamental attributes of the wavy disk: the increased surface area and the enhanced convection due to the surface undulations. However, there exists no further information about their individual role, mutual interaction, and individual share in enhancing the convective transport in the rotating disk boundary layer. This study aims to investigate these facts in detail by considering radially heterogeneous different wavy configurations on the disk surface. It is revealed that the said attributes contribute non-trivially to enhance the transport phenomena. Their impactful role is identified due to the strengths of circumferential and crossflow velocity components, the magnitude of flow swirl angle, and hence due to the coefficients of skin friction and their inter relationship. In this regard, a fundamental benchmark regarding the relative strength of the two coefficients of skin friction is identified from the flat disk case. Decisive observations regarding the impact of surface undulations and the increased surface area of the wavy disk on the enhanced convective transport are made with the aid of this benchmark. It is observed that the enhanced transport phenomena, especially the heat transfer, mainly depend upon the further dominance of the circumferential velocity component. In the situations of increased dominance of rotational flow Kw>Kf, the increased convection and surface area collectively contribute to enhance the thermal transport while in a reverse situation Kw<Kf the convection contributes adversely by even reducing the impact of the increased surface area. In the neutral situation where the dominance of rotational velocity is neither increased nor decreased (i.e., Kw≈Kf), any increase in the transport phenomena is wholly due to the increased surface area. Therefore, the presence of surface undulations or increase in surface area is not the only criterion for an optimum rise in the transport phenomena, rather the impact of surface undulations on the velocity profiles is important which is manipulated due to their positioning on the disk surface. It is observed that the presence of surface undulations in the central and intermediate regions on the disk surface causes to increase the gradients of the crossflow velocity while their presence in the near rim location causes to enhance the gradients of the circumferential velocity. Thus, the configurations that have higher undulations in the near rim region outperform the other configurations.

FREE: Enhanced Feature Representation for Isotopic Envelope Evaluation in Top-Down Mass Spectra Deconvolution.

The aim of deconvolution of top-down mass spectra is to recognize monoisotopic peaks from the experimental envelopes in raw mass spectra. So accurate assessment of similarity between theoretical and experimental envelopes is a critical step in mass spectra data deconvolution. Existing evaluation methods primarily rely on intensity differences and m/z similarity, potentially lacking a comprehensive assessment. To overcome this constraint and facilitate a comprehensive and refined assessment of the similarity between theoretical and experimental envelopes, there exists an imperative to systematically explore and identify increasingly efficacious features for assessing this correspondence. We present enhanced feature representation for isotopic envelope evaluation (FREE) that derives diverse feature representations, encapsulating fundamental physical attributes of envelopes, including peak intensity and envelope shape. We trained FREE and evaluated its performance on both the ovarian tumor (OT) (human OT cells) data set and zebrafish (ZF) (brain in mature female ZF) data set. Specifically, comparing the state-of-art method, FREE demonstrates higher performance in multiple evaluation metrics across both the OT and ZF data sets, with a particular emphasis on precision, and it demonstrates accurate predictions of a greater number of positive envelopes among the top-ranked envelopes based on their scores. Moreover, within a cross-species data set of ZF, FREE identified a higher number of proteoform-spectrum matches (PrSMs), increasing the count from 50,795 to 52,927 compared to EnvCNN, the amalgamation of FREE with TopFD also exhibits a commendable capacity to discern 117,883 fragment ions, thus surpassing the 97,554 fragment ions identified through the application of EnvCNN in conjunction with TopFD. To further validate the performance of FREE, we have tested 10 a cross-species top-down proteomes containing 36 subdata set from ProteomeXchange. The results reveal that, after deconvolution with TopFD + FREE, TopPIC identifies more PrSMs across these 10 data sets in both the first and second rounds of experiments. These findings underscore the robustness and generalization capabilities of the FREE approach in diverse proteomes.

Feedbacks: a new synthesis of causal loops across ecology

Feedbacks are the basic linkages of living systems. In organisms, they regulate the processes of growth and homeostasis, as well as their interactions with their world. Feedback, which Judson (1980) called ‘one of the chief themes of scientific understanding,' is equally important in ecological systems. The ecological literature is rich in papers dealing with the role of feedback in various phenomena. However, we know of no comprehensive synthesis of feedbacks in ecology. Pichon et al. (2024) accomplish this, and for the first time show that ecological feedbacks can be categorized in terms of a small number of fundamental attributes. The paper brings the array of different types of feedbacks into a manageable order, providing not only the relevant theoretical framework but also guidance on methods for applying understanding to practical issues.

Intelligent Food Packaging: Quaternary Ammonium Chitosan/Gelatin Blended Films Enriched with Blueberry Anthocyanin-Derived Cyanidin for Shrimp and Milk Freshness Monitoring.

Blueberry anthocyanin-derived cyanidin (BAC) was used to prepare a series of responsive food freshness packaging films by compounding it with quaternary chitosan (QC) and gelatin (G). The fundamental properties, pH sensitivity, and functional attributes of the films were examined. The BAC solutions exhibited notable variations in color (from red to pink to violet) under different pH conditions. The incorporation of BAC resulted in improved UV-vis shielding capabilities but compromised the mechanical strength of the films (with tensile strength values from 85.02 to 44.89 MPa, elongation at break from 13.08% to 3.6%, and water vapor transmission rates from 5.24 × 10-9 to 7.80 × 10-9 g m-1 s-1 Pa-1). The QC-G-BAC films, containing 5-15 wt% BAC, exhibited noticeable color changes in acidic/ammonia environments within a short timeframe, easily discernible to the naked eye. Furthermore, the inclusion of BAC significantly enhanced the antioxidant and antimicrobial properties of the films. The addition of 5-15 wt% BAC to QC-G-BAC films could be employed for assessing the freshness of fresh shrimp (from red to dark red) and pasteurized milk (from red to dark earthy yellow). Among them, the total color difference (ΔE) of QC-G-BAC5 film was significantly correlated with the pH, acidity, and total colony count of pasteurized milk (R = 0.846, -0.930, -0.908, respectively). This new concept in smart packaging offers a straightforward and user-friendly freshness indicator.

Evaluation of landscape ecological security pattern via the “pattern-function-stability” framework in the Guanzhong Plain Urban Agglomeration of China

Most studies have assessed and constructed landscape ecological security patterns (LESPs) primarily from the perspective of landscape morphology by employing morphological spatial pattern analysis, with little attention paid to fundamental ecosystem attributes (such as ecosystem functions and stability). Thus, this study proposed a comprehensive evaluation and optimization framework for LESPs from the perspective of “mode function stability” by integrating assessment landscape pattern, ecological function, and landscape stability. A comprehensive evaluation and optimization of the LESPs was conducted using the Minimum Cumulative Resistance (MCR) model in the Guanzhong Plain Urban Agglomeration (GPUA) as the research area. The results showed that: (1) Generally, the landscape quality in urban agglomerations was relatively low because of the large area of agricultural vegetation, high human interference, and landscape fragmentation, which caused low levels of landscape pattern, function, and stability. (2) LESPs were mainly determined by landscape stability in urban agglomerations due to low-quality ecosystems, rapid landscape transformation, and severe anthropogenic disturbances. (3) There was a large variation in the landscape function and stability of a certain landscape type due to their different structures and human interference across space in urban agglomerations. According to assessment by “pattern-function-stability” framework, the ecological sources and corridors covered with natural forest were the crucial cornerstone to constructing LESPs, and the rivers in crop planting areas were the inevitably selected corridors, but their ecological function and stability needed further improvement in construction. (4) The framework can assess spatial patterns and ecological functions to further the stability and sustainability of the landscape in maintaining ecological security and facilitating the identification of improvement objectives or measures of individual ecological sources or corridors in regional ecological infrastructure construction practices.

Development and validation of a nomogram to predict overall survival in patients with glioma: a population-based study.

The objective is to investigate the prognostic factors associated with gliomas and to develop and assess a predictive nomogram model connected to survival that may serve as an additional resource for the clinical management of glioma patients. From 2010 to 2015, participants included in the study were chosen from the Surveillance Epidemiology and End Results (SEER) database. Gliomas were definitively diagnosed in each of them. They were divided into the training group and the validation cohort at random (7/3 ratio) using a random number table. To identify the independent predictive markers for overall survival (OS), Cox regression analysis was utilized. Subsequently, the training cohort's survival-related nomogram predictive model for OS was created by incorporating the fundamental patient attributes. Following that, the training cohort's model underwent internal validation. The nomogram model's authenticity and reliability were assessed through the computation of receiver operating characteristic (ROC) curves and concordance index (C-index). To evaluate the degree of agreement between the observed and predicted values in the training and validation cohorts, calibration plots were created. Age, primary site, histological type, surgery, chemotherapy, marital status, and grade were the independent predictive factors for OS in the training cohort, according to Cox regression analysis. Moreover, the nomogram model for predicting 1-year, 3-year, and 5-year OS was built using these variables. The C-indexes of OS for glioma patients in the training cohort and internal validation cohort were found to be 0.779 (95% CI=0.769-0.789) and 0.776 (95% CI=0.760-0.792), respectively, according to the results. The ROC curves also demonstrated good discrimination. Additionally, calibration plots demonstrated a fair amount of agreement. In summary, the nomogram prediction model of OS demonstrated a moderate level of reliability in its predictive performance, offering valuable reference data to enable doctors to quickly and easily determine the survival likelihood of patients with gliomas.