Diagrams Of Clusters Research Articles

Assessment of Metal Accumulation in Medicinal Plants and Their Soil in District Kamber-Shahdadkot, Sindh, Pakistan

The current study was carried out to investigate the physiochemical, major elements such as Na, K Ca, Mg and heavy metals like Zn, Fe, Cu, Cd, Pb, Ni, Co, and Mn in medicinal plants and their soil of district Kamber-Shahdadkot, Sindh, Pakistan. The five plant samples were collected from the study area and divided into five different parts such as root, stem, leaf, seed, and flower. Five soil samples were collected from the same location at a 90 cm deep ditch. Samples were prepared using acid digestion and analyzed using a flame atomic absorption spectrophotometer (FAAS). The multivariate statistical analysis correlation coefficient principle component analysis, cluster diagram, and Piper diagram were drawn for better interpretation of the data. The results of Na, K, Mg, and Ca in plants varied from 368 to 2,480 mg/Kg, 866 to 1,349, 455 to 1,530 and 1,840 to 17,360 mg/Kg and heavy metals varied Fe 10.96 to 1,115.2, Mn 0-59.04, Cu 0-68.4, Cr 0-7.68, Pb 0.32-25.28, Zn 0.0-56.28, Ni 0.88-8.40 mg/Kg. The trace element values vary from plant to plant and also vary in their parts. The correlation and principle component analysis indicated major parameters are good positive loading for each other and the Piper diagram indicated calcium is a predominance cation. The present study compares the major and trace metals in medicinal plant and their soil. The physiochemical results of the soil samples indicated different values from place to place due to the soil quality varied from location to location.

Spatiotemporal Changes and Influencing Factors of the Coupled Production–Living–Ecological Functions in the Yellow River Basin, China

The imbalance in the “production–living–ecology” function (PLEF) has become a major issue for global cities due to the rapid advancement of urbanization and industrialization worldwide. The realization of PLEF coupling and coordination is crucial for a region’s sustainable development. Existing research has defined the concept of PLEF from the perspective of land function and measured its coupling coordination level using relevant models. However, there is still room for improvement in the indicator system, research methods, and other aspects. This work builds a PLEF coupling coordination evaluation-index system based on the perspective of human habitat using multi-source data in order to examine the spatial differences in PLEF coupling coordination level and the influencing factors in the Yellow River Basin (YRB). Using the modified coupling coordination model, the Moran index, spatial Markov chain model, and geographically weighted random forest model were introduced to analyze its spatial and temporal differentiation and influencing factors. The results found that (a) the level of PLEF coupling coordination in the YRB from 2010 to 2022 has been improving, and the number of severely imbalanced cities has been reduced from 23 to 15, but the level of downstream cities’ coupling coordination is significantly higher than that of upstream cities. The probability of cities maintaining their own level is greater than 50%, and there is basically no cross-level transfer. (b) The Moran index of the PLEF coupling coordination level has risen from 0.137 to 0.229, which shows a significant positive clustering phenomenon and is continually strengthening. The intercity polarization effect is being continually enhanced as seen in the LISA clustering diagram. (c) There is significant heterogeneity between the influencing factors in time and space. In terms of importance level, the series is per capita disposable income (0.416) > nighttime lighting index (0.370) > local general public budget expenditure (0.332) > number of beds per 1000 people (0.191) > NO2 content in the air (0.110). This study systematically investigates the dynamic evolution of the coupled coordination level of PLEF in the YRB and its influencing mechanism, which is of great practical use.

Identifying the pattern of shallow groundwater hydrochemistry and its driving factors in a typical estuarine delta of Poyang Lake watershed, China: Insights into water quality assessment

Study regionA typical estuarine delta of Gan−Xiu River within Poyang Lake watershed, situated in the north of Jiangxi Province, China Study focusAlthough groundwater is considered as a crucial water resource for social development and public health, it presents significant challenges in preventing the deterioration of groundwater quality in the seasonal floodplain regions. Hence, this study focuses on the spatiotemporal variations of ionic concentrations of shallow groundwater in an estuarine delta of Gan-Xiu River in Poyang Lake watershed, which is greatly complicated by complex hydrological regimes and intensive anthropogenic activities such as cropland fertilizer. The potential factors controlling the ionic concentrations were identified using self-organizing map clustering and Piper diagram approaches. Moreover, the overall water quality of shallow groundwater was assessed according to the ionic compositions. New hydrological insights for the region(1) Shallow groundwater chemistry was influenced by weathering silicate and carbonate from ionic and Gibbs plots, which is highly associated with the distribution of the carbonate rock fissure-karst aquifer in the study region. (2) The contribution of groundwater to river water varied from 53.2 % to 71.5 % via isotopic analysis, suggesting that groundwater dominate the component of river water. (3) Most samples from cluster types are suitable for drinking and irrigation use except for sites from Cluster 6, which were characterized by the higher concentrations of Cl−, NO3− and SO42−.

Global environmental sustainability trends: A temporal comparison using a new interval-based composite indicator

Assessing progress on the pursuit of the Sustainable Development Goals is crucial for evaluating the sustainability of a Country, although this is not easy, considering the interdependencies or interconnections of individual goals with others, and the fact that there are several indicators for each goal. The aims of this research are: (1) to propose a novel interval-based environmental sustainable composite index (ESI) suitable to monitor the worldwide environmental SDGs' implementation at national scale, (2) to solve the problem of missing data in large databases and the subjectivity in computing a composite index (CI), (3) to group and compare statistically countries according to the ESI, and (4) to represent spatially the results to identify areas of the world more or less environmentally sustainable than others. Clustering and Sankey diagrams have supported the temporal and spatial analysis of ESI trends, showing that Canada, Brazil, New Zealand, and several European countries have been the most sustainable in 2019. The novelty of this indicator is that each country presents an ESI central value, the most probable value of the composite indicator, and a range, which represents the uncertainty given by the lower and upper bounds. In this sense, it is possible to better interpret the results of the composite indicator, while simultaneously obtaining a measure of the uncertainty of the results. The composite indicator can be used to monitor countries’ vulnerability towards the unsustainability risk, as well as countries that are not able to escape from a sort of “unsustainability trap”.

JWST Imaging of the Closest Globular Clusters. II. Discovery of Brown Dwarfs in NGC 6397 and Measurement of Age from the Brown Dwarf Cooling Sequence, Using SANDee—A New Grid of Model Isochrones across the Hydrogen-burning Limit

Globular clusters contain vast repositories of metal-poor stars that represent some of the oldest stellar generations in the Universe. The archaeological footprint of early Galactic evolution may be retained in the measurable properties of globular clusters, such as their ages, mass functions, and chemical abundances. Until recently, all photometric studies of globular clusters were restricted to stellar members. Now, the sensitivity of JWST can extend this analysis to the substellar regime. If detected in sufficient numbers, brown dwarf members can provide tight constraints on the properties of their parent population. We present SANDee—a new grid of stellar models that accurately represent the color–magnitude diagrams of globular clusters across the hydrogen-burning limit at a wide range of metallicities. Using JWST NIRCam photometry and the new models, we identify three brown dwarfs in the globular cluster NGC 6397 with T eff = 1300–1800 K, confirmed by both proper motion and model fitting. We use the observed luminosities of discovered brown dwarfs to obtain the first age estimate of a globular cluster from its substellar cooling sequence: 13.4 ± 3.3 Gyr. We also derive the local mass function of the cluster across the hydrogen-burning limit and find it to be top heavy, suggesting extensive dynamical evolution. We expect that the constraints on both age and mass function of NGC 6397 derived in this work can be greatly improved by a second epoch of NIRCam imaging in the same field.

Multiple locus variable number tandem repeat analysis genotype polymorphism of Bacillus anthracis in China

Objective: To analyze the multiple locus variable number tandem repeat analysis (MLVA) genotype polymorphism of Bacillus (B.) anthracis and establish a MLVA genotype database of B. anthracis in China. Methods: B. anthracis strains isolated from different sources in China since 1947 were collected. Genotype identification was carried out using the MLVA15 genotyping protocol based on 15 variable number tandem repeat loci. The genotypes were uniformly numbered and named. The distribution characteristics of the MLVA genotypes of strains were analyzed. Software Bionumerics was used to construct clustering diagrams to analyze the genetic relationships. Results: The MLVA15 clustering analysis subdivided the isolates into 4 major groups and 91 genotypes, 54 of which were unique to China. The genotypes from MLVA15-CHN1 to MLVA15-CHN6 were widely distributed throughout China and in all eras, while other genotypes were restricted to certain regions or eras. Conclusions: This study established a MLVA genotype database of B. anthracis, which provides basis for the understanding of MLVA genetic polymorphisms and the control and molecular source tracing of the anthrax outbreaks in China.

Isochrone fitting of the open cluster M67 in the era of Gaia and improved model physics

ABSTRACT The Gaia mission has provided highly accurate observations that have significantly reduced the scatter in the colour–magnitude diagrams of open clusters. As a result of the improved isochrone sequence of the open cluster M67, we have created new stellar models that avoid commonly used simplifications in 1D stellar modelling, such as mass-independent core overshooting and a constant mixing length parameter. This has enabled us to deliver a precise isochrone specifically designed for M67, available for download. We follow a commonly used qualitative approach to adjust the input physics to match the well-defined colour–magnitude sequence, and we test the model-predicted masses against a known eclipsing binary system at the main sequence turnoff of the cluster. Despite using improvements in photometry and stellar physics we cannot match the masses of both binary components with the same theoretical isochrone. A $\chi ^{2}$-based isochrone fitting approach using our preferred input physics results in a cluster age of $3.95^{+ 0.16}_{- 0.15}$ Gyr.

Evolution of blockchain accounting literature from the perspective of CiteSpace (2013–2023)

Against the backdrop of the Industrial Revolution 4.0, the advantages of blockchain technology in traceability, transparency, safety improvement, and efficiency improvement have made it possible to reduce the work of accounting personnel by 50 %, thus saving billions of dollars for global companies by combining this technology with accounting. However, the blockchain technology associated with accounting is in the experimental stage and has several problems to be solved including limited data processing capacity, information confidentiality, and regulatory difficulties. This innovation and progress in science and technology has provided more abundant, efficient, and professional technical support for the research of blockchain accounting documents. Among these advances, CiteSpace software has promoted the development of blockchain and accounting in the direction of visualization, comprehensiveness, security, and relevance. In this study, we used the knowledge map drawn by CiteSpace to search the core Blockchain Accounting database from 2013 to 2023 on the Web of Science (WoS). We obtained 1414 documents measured according to co-citation analysis, log-likelihood ratio (LLR) network clustering, co-occurrence keywords, and emergent time zone diagram method. We analyzed and summarized the important documents, research keywords, key research fields, and knowledge evolution related to "blockchain accounting" by network, literature integration, and popular research topics. We found that adopting blockchain technology in accounting information systems is expected to improve recordkeeping and reporting. Blockchain, as an innovative technology, provides a tamper-proof, traceable, and shareable platform for accounting information by using a distributed ledger system. By implementing blockchain, artificial intelligence can improve safety, transparency, and accuracy, and also may completely change the way we manage financial records. With its ability to improve overall efficiency and reduce errors, blockchain technology may change our familiar accounting methods. In addition, blockchain technology, intelligent contract, artificial intelligence, the Internet, information systems, and supply chain are the most important keywords, while blockchain technology, intelligent contract, and artificial intelligence are important components of blockchain accounting knowledge system. This research provided an important opportunity to advance the understanding of the crucial contribution of blockchain to the accounting field.

Morphological, anatomical and genetic diversity of Nanhaia speciosa (Champ. ex Benth.) J.Compton & Schrire from Northern Vietnam

Abstract. Ong PX, Cao CB, Khang DT, Huy TG, Cao PB, Chu HD, Nguyen DV, La HV. 2024. Morphological, anatomical and genetic diversity of Nanhaia speciosa (Champ. ex Benth.) J.Compton & Schrire from Northern Vietnam. Biodiversitas 25: 1174-1184. Nanhaia speciosa (Champ. ex Benth.) J.Compton & Schrire has been considered a captivating plant species known for its remarkable attributes and contributions to ecological systems and human use. This medicinal plant originated from tropical Southeast Asia regions. However, the investigation of this species in Vietnam has been still lacking. This study comprehensively analyzed N. speciosa samples obtained in Vietnam; the morphological and anatomical characteristics of N. speciosa leaflets and flower samples collected from different regions were analyzed. As a result, the structural components of the flower were slightly similar between these samples, whereas the leaflet shape exhibited variations in the leaflet base, petiole, and leaflet apex. According to the ISSR and RAPD analysis, we demonstrated that N. speciosa found in ND genotypes (Tan Yen, Bac Giang) exhibited clearly different genetic backgrounds from CSS (Loc Binh, Lang Son) and CSD (Son Dong, Bac Giang) genotypes. Based on the clustering diagram of ISSR markers, 15 plant genotypes were classified into 2 large clusters, A and B, with genetic similarity ranging from 0.62 to 0.90. The RAPD dendrogram illustrated two main clusters, C and D, with genetic similarity ranging from 0.57 to 0.92. Therefore, this study could provide a solid foundation for identifying and characterizing N. speciosa species in Vietnam and a direction for advanced research on conservation, sustainable breeding, and exploiting pharmaceutical values.

Inverse Volume Scaling of Finite-Size Error in Periodic Coupled Cluster Theory

Coupled cluster theory is one of the most popular post-Hartree-Fock methods for molecular quantum chemistry. The finite-size error of the correlation energy in periodic coupled cluster calculations for three-dimensional insulating systems has been observed to satisfy the inverse volume scaling, even in the absence of any correction schemes. This is surprising, as simpler theories that utilize only a subset of the coupled cluster diagrams exhibit much slower decay of the finite-size error, which scales inversely with the length of the system. In this study, we review the current understanding of finite-size error in quantum chemistry methods for periodic systems. We introduce new tools that elucidate the mechanisms behind this phenomenon in the context of coupled cluster doubles calculations. This reconciles some seemingly paradoxical statements related to finite-size scaling. Our findings also show that singularity subtraction can be a powerful method to effectively reduce finite-size errors in practical quantum chemistry calculations for periodic systems. Published by the American Physical Society 2024

The GALAH survey: elemental abundances in open clusters using joint effective temperature and surface gravity photometric priors

ABSTRACT The ability to measure precise and accurate stellar effective temperatures (Teff) and surface gravities (log (g)) is essential in determining accurate and precise abundances of chemical elements in stars. Measuring log (g) from isochrones fitted to colour–magnitude diagrams of open clusters is significantly more accurate and precise compared to spectroscopic log (g). By determining the ranges of ages, metallicity, and extinction of isochrones that fit the colour–magnitude diagram, we constructed a joint probability distribution of Teff and log (g). The joint photometric probability shows the complex correlations between Teff and log (g), which depend on the evolutionary stage of the star. We show that by using this photometric prior while fitting spectra, we can acquire more precise spectroscopic stellar parameters and abundances of chemical elements. This reveals higher-order abundance trends in open clusters like traces of atomic diffusion. We used photometry and astrometry provided by the Gaia DR3 catalogue, Padova isochrones, and Galactic Archaeology with HERMES (GALAH) DR4 spectra. We analysed the spectra of 1979 stars in nine open clusters, using MCMC to fit the spectroscopic abundances of 26 elements, Teff, log (g), vmic, and vbroad. We found that using photometric priors improves the accuracy of abundances and log (g), which enables us to view higher order trends of abundances caused by atomic diffusion in M67 and Ruprecht 147.

Gaps in the Main-Sequence of Star Cluster Hertzsprung-Russell Diagrams

The presence of gaps or regions of small numbers of stars in the main sequence of the Hertzsprung-Russell Diagram (HRD) of star clusters has been reported in literature. This is interesting and significant as it could be related to star formation and/or rapid evolution or instabilities. In this paper, using Gaia DR3 photometry and confirmed membership data, we explore the HRD of nine open clusters with reported gaps, identify them and assess their importance and spectral types.

Assessment of Simple Sequence Repeat (SSR) Markers Derived from Whole-Genome Sequence (WGS) of Mungbean (Vigna radiata L. Wilczek): Cross-Species Transferability and Population Genetic Studies in Vigna Species

The genus Vigna is pan-tropical, having more than 200 species with many desirable economically important traits. This study aimed to validate the in silico polymorphism of whole-genome-sequence-developed mungbean-specific SSR markers and their transferability among different Vigna species. The present study utilized a set of 200 SSR markers developed from the whole-genome sequence of mungbean and validated them using a diversity panel of 25 accessions that belong to 13 Vigna species. Out of 200 SSR markers, 130 markers (65%) were polymorphic across the various Vigna species, and the number of alleles amplified varied from 7 to 24. The SSR markers showed more than 90 percent transferability across the different Vigna species accessions. Utilizing allelic data, the 25 Vigna accessions were clustered into three groups using the unweighted pair group method with arithmetic mean (UPGMA). The two integral coalitions explained 50.79 and 15.42% of the total variance. The principal coordinate analysis (PCA) biplot graph and UPGMA-based neighbor-joining clustering diagram showed a similar pattern of Vigna accession distribution. A population structure assessment grouped the cultivated and wild species accessions into two sub-populations based upon a maximum delta K value of 144.79, which drew a sharp peak at K = 2. The estimated marker parameters, such as the polymorphic information content (0.09–0.84), marker index (0.091–3.342), and effective multiplex ratio (1.0–4.0), suggested their adequacy for several genetic studies, such as parental selection, hybrid testing, genetic mapping, and marker-aided breeding programs, for the genetic enhancement of species belonging to the Vigna genus.

Цифровизация системы организации рабочих процессов лесозаготовительных машин: оценка эффективности на примере «Ponsse», «Komatsu» и «John Deerе»

When organizing the work of logging machines, it is necessary to take into account not only their technical characteristics, but also their adaptation into a single digital space. In the absence of synchronization, the ability to control the volume of harvested wood, optimize sorting plans for maximum benefit, remotely monitor the technical condition of the tires, organize their effective maintenance and repair is reduced. The software used by the manufacturers of logging equipment "Ponsse", "Komatsu", "John Deere" was evaluated according to fourteen criteria for parameter control, machine maintenance management, personnel training using the method of intergroup relations (Jacquard measure), and visualized with a cluster diagram. The basis of digital systems is software solutions that allow integrating machines of only one brand into a single information space of the company, which narrows the field of their activity, and therefore reduces the effectiveness of their application. The existing models of digital ecosystems of the companies under consideration lack a module related to logging planning, which does not allow to effectively link the required amount of equipment (harvesters, forwarders, loaders, skidders) with the planned volumes of timber harvesting, as well as to coordinate their work and productivity with maintenance and repair. The imbalance of output volumes by different machines used in logging leads to downtime of the most productive (head) machines and a decrease in the total volume of their output to a minimum at one of the main operations.

Справочная информационная система FLR-Library для адаптивного лесовосстановления: кластерный анализ дескрипторов

The lack of uniform terminological and technological approaches to the procedure of adaptive reforestation suggests the justification of the principles of creating a reference information system (FLR-Library), taking into account the specifics of implementing a joint decomposed FLR algorithm to reduce its execution time and rational forecasting of future forest landscape restoration projects. Collected and analyzed more than 120 definitions for more than 30 descriptors, such as "forest", "forest landscapes", "adaptive reforestation", "concepts of adaptive reforestation", "reforestation", "afforestation", "stand", "forest plantation", "forest complex", "forest landscape", "type of forest" and others. Both distinctive features and common points in the definitions of different countries and authors of the same descriptor are found. Technically, an approach to clustering of the most common descriptors is implemented: "forest", "forest landscapes", "reforestation", "afforestation". To do this, for each descriptor, based on the hierarchical clustering module, the combination of a cluster of recalibrated distances was determined and a cluster diagram was constructed based on «variables» (criteria for the descriptors effectiveness) and «observations» (by countries containing a source of information with a descriptor). Common to all sources will be that adaptive reforestation implies adaptation to climate change, but then there are two options for development: 1) planting (sowing) breeds resistant to climate change; 2) import and adaptation of "southern" breeds to northern latitudes. In the future, based on the analysis of descriptors and the principle of decomposition, it is planned to develop an algorithm for the functioning of the FLR system.

Parameter Estimation for Open Clusters using an Artificial Neural Network with a QuadTree-based Feature Extractor

With the unprecedented increase in the number of known star clusters, quick and modern tools are needed for their analysis. In this work, we develop an artificial neural network (ANN) trained on synthetic clusters to estimate the age, metallicity, extinction, and distance of Gaia open clusters. We implement a novel technique to extract features from the color–magnitude diagram of clusters by means of the QuadTree tool, and we adopt a multiband approach. We obtain reliable parameters for ∼5400 clusters. We demonstrate the effectiveness of our methodology in accurately determining crucial parameters of Gaia open clusters by performing a comprehensive scientific validation. In particular, with our analysis we have been able to reproduce the Galactic metallicity gradient as it is observed by high-resolution spectroscopic surveys. This demonstrates that our method reliably extracts information on metallicity from color–magnitude diagrams (CMDs) of stellar clusters. For the sample of clusters studied, we find an intriguing systematic older age compared to previous analyses present in the literature. This work introduces a novel approach to feature extraction using a QuadTree algorithm, effectively tracing sequences in CMDs despite photometric errors and outliers. The adoption of ANNs, rather than convolutional neural networks, maintains the full positional information and improves performance, while also demonstrating the potential for deriving cluster parameters from simultaneous analysis of multiple photometric bands, beneficial for upcoming telescopes like the Vera Rubin Observatory. The implementation of ANN tools with robust isochrone fit techniques could provide further improvements in the quest for open cluster parameters.

A systematic review of clay shale research development for slope construction

The issue of stability controlling cutting slopes is particularly important in clay-shale slopes, a typical expanding sedimentary layer with poor engineering geological conditions and mechanical characteristics. Therefore, research on the causes of failure and remedies for clay-shale cutting slopes is required to serve as an overview for handling and preserving clay-shale slopes in identical conditions. However, the trusted information about the need for further related clay shale research and clay shale in slope stability has yet to be specifically presented. This review study summarizes the published research for clay shale beginning in 1980, presents a bibliometric analysis to examine the published research based on year and country, and provides various study trends in cluster diagram using the VOSviewer program. The analysis also summarized some key goals, effective methodology, and significant findings from the most recent studies to extract information from them that would benefit future research. In conclusion, the results show the need for developing research to fill the knowledge gap regarding clay shale, landslide, and clay mineralogy. In addition, the clay shale slope analysis has revealed the need for additional research into dynamic force and its deformation.

Molecular Diversity and Population Structure Analysis in Rice Genotype using SSR Markers

The use of advanced molecular technologies is one possible approach to understand their diversity. A study was undertaken to evaluate forty two rice genotype including six checks during kharif 2019. The result of the investigation was allele number was recorded for the five markers with an average of 2.6 allele per locus. Out of twenty five markers 12 markers showed highly PIC value. However, UPGMA cluster diagram mean of 67% level of similarity showed forty two accessions into 10 distinct clusters. Maximum cluster II had 13 genotypes followed by cluster IV, X, III and IX consisting of eleven, six three and two genotype respectively. Population structure analysis population inferred ancestry, 10 pure accessions were assigned to subgroup SG1 whereas 30 pure accessions were assigned to subgroup SG2 and two lines were assigned to admixture (AD). It was observed that the genotypes of subgroup 1 have brown planthopper resistant, whereas the genotypes of subgroup 2 have high yielding.

Study of the relationship between agrochemical indicators of soils and species composition of plants in some sites of the Lena River Delta, Northern Yakutia

In connection with climate change and the development of natural resources in the Arctic, increasingly relevant is the problem of revealing the response of tundra vegetation to various natural and anthropogenic impacts, as well as the search for indicators for developing a system of monitoring the state of ecosystems in the Far North. The aim of this work was to describe the floristic composition and structure of plant communities, as well as to search for relationships between agrochemical indicators of soils and the species composition of plants in certain key sites of the Lena River Delta. A total of ten key sites of the Lena delta were studied. Agrochemical analysis of the soil samples was performed using standard methods. The content of biogenic and abiogenic elements was measured using an emission spectrometer. The relationship between the soil parameters and floristic composition was studied using cluster analysis. It was shown that the clustering of sites by standard agrochemical indicators was weakly expressed, while in terms of the content of elements in the mineralized samples and in water extracts the sites were grouped into two clusters at the level of 40 %÷60 % of the differences. The clustering of sites by plant species composition was very weak, and it was not possible to identify clusters with high or medium level of similarity, nor was it possible to detect similarity between cluster diagrams constructed by soil parameters and by plant species composition. As a result of the study, it is shown that the species composition of vascular plants weakly correlates with the properties of the soils of the key sites. The individual features identified manifest themselves in the form of trends and no clear patterns of interrelation of vegetation and soil parameters are discerned.

The multiplicity fraction in 202 open clusters from Gaia

In this study, we estimate the fraction of binaries with high mass ratios for 202 open clusters in the extended solar neighbourhood (closer than 1.5 kpc from the Sun). This is one of the largest homogeneous catalogues of multiplicity fractions in open clusters to date, including the unresolved and total (close-binary) multiplicity fractions of main-sequence systems with mass ratio greater than $ 0.6_{ -0.15}^{+0.05} $. The unresolved multiplicity fractions were estimated applying a flexible mixture model to the observed Gaia colour-magnitude diagrams of the open clusters. Then we used custom Gaia simulations to account for the resolved systems and derived the total multiplicity fractions. The studied open clusters have ages between 6.6 Myr and 3.0 Gyr and total high-mass-ratio multiplicity fractions between 6% and 80%, with a median of 18%. The multiplicity fractions increase with the mass of the primary star, as expected. The average multiplicity fraction per cluster displays an overall decreasing trend with the open cluster age up to ages about 100 Myr, above which the trend increases. Our simulations show that most of this trend is caused by complex selection effects (introduced by the mass dependence of the multiplicity fraction and the magnitude limit of our sample). Furthermore, the multiplicity fraction is not significantly correlated with the clusters’ position in the Galaxy. The spread in multiplicity fraction decreases significantly with the number of cluster members (used as a proxy for cluster mass). We also find that the multiplicity fraction decreases with metallicity, in line with recent studies using field stars.