Fast-growing Type Research Articles

Community Member Perceptions of Dollar Stores in Baltimore City, Maryland: "They are Not Progressive for the Communities".

Dollar stores are the fastest-growing type of food retailer in the United States, prompting policy action across the country related to their perceived negative impact on the communities they serve. However, there is little existing research that explores community member perceptions of dollar stores, which is critical to inform new, equitable policies. To address this gap in Baltimore City, Maryland, where dollar store density is high, we aimed to describe community member perceptions of dollar stores in terms of their role in the broader community. We used thematic analysis to construct themes from community member in-depth interviews (n = 16) and one community member workshop (n = 21) to understand how dollar stores are viewed in the context of the broader Baltimore City community. Six key themes were generated: (1) dollar stores contribute to neighborhood "blight," (2) better retail is needed, (3) dollar stores meet certain community needs, (4) dollar stores do not invest enough in the community, (5) dollar stores vary in location and stock depending on race-based neighborhood qualities, and (6) product quality is low. Overall, participants acknowledged that dollar stores meet certain needs in communities in which there are few alternative retail options, but many did not view them as a benefit and desired to have other retailers instead. Participants also discussed the lack of dollar store investment in the communities they serve, and the low quality of food and non-food products offered. Future policy development should include community member perspectives to understand local context and align policies with community priorities.

Robust wind power capacity planning under fuel price uncertainty using conic duality theory and piecewise McCormick relaxation

Increasing the proportion of renewable energy sources (RESs) in power generation is crucial due to fossil fuel depletion and rising environmental pollution. In this regard, identifying the most lucrative sites and sizes for installing wind farms, as one of the fastest-growing types of RESs, is imperative. This paper presents a robust profit-oriented wind power capacity planning (WPCP) considering long- and short-term uncertainty. The model forms a two-stage min-max-min hierarchical structure. The first stage minimizes the investment cost plus maximum regret, while the second stage maximizes the profit under the worst-case uncertainty realization. Unlike the existing approaches where uncertainty in fossil fuel prices is neglected, we model fuel price uncertainty using both polyhedral and ellipsoidal uncertainty sets. In this respect, the third level is formulated as a bi-level program, with the upper level being the profit maximization and the lower level being the locational marginal price (LMP) calculation. In the case of the ellipsoidal set, the conic duality theory is employed to dualize the lower level. The piecewise McCormick relaxation (PMR) technique linearizes the bilinear terms. The nested column-and-constraint generation (NCCG) technique solves the formulated problem. A clarifying case study is employed to demonstrate the efficacy of the proposed model.

Platforms mediating domestic care work as service gigs in European cities: Reorganisation of social reproduction through marketisation

In European cities, lean labour platforms increasingly mediate domestic service gigs related to social reproduction, such as food delivery and cleaning tasks on-demand. This fast-growing type of platform depends on spatial proximity and the population density of cities, economic relations enabled by digital technologies and embodied gendered and racialised norms. At the same time, platforms are linked to the crisis of social reproduction and to a constant supply of people in precarious positions looking for income. The paper tackles the question how platform-mediated service gigs related to grocery shopping, cooking and cleaning change caring relationships. This comprises considerations of the dimensions of marketisation and the transformation of reproductive work symbolically, materially, and socially and is presented with a feminist perspective pointing to social reproduction as an essential but devalued part of everyday life. These endeavours are explored with findings from various case studies dealing with food delivery and cleaning platforms in Austria and Germany and are discussed with reference to relational care ethics. Put forward here is a reflection on the ways in which digital mediation of domestic care work relies on gendered and racialised norms – and how this dependence intensifies structural inequalities inherent to social reproduction.

Analisis User Experience pada Pengguna Aplikasi Dompet Digital Menggunakan Teori Jacob Nielsen

Digital wallets are one of the fastest-growing types of fintech. Digital wallets are just like real wallets. Users can make transactions either online or offline to be more effective and efficient. It is important for the development team to pay attention to the comfort and satisfaction of its users. The purpose of writing, to find out the rate obtained by each application and will be tested using the usability testing method. This is done to evaluate the usability of digital wallet applications based on the responses given by users after interacting with the product system. The research was conducted in the DKI Jakarta area using 3 digital wallets and involving 150 digital wallet respondents, including: 51 Shopee pay Respondents, 52 Go-pay Respondents and 47 DANA Respondents. The results of the tests that have been carried out, it can be concluded that the Shopee-pay Digital Wallet is in the Very Good category with a score of 4.35, the Go-pay and DANA applications are in the good category with the Go-Pay application score of 3.98 and DANA 4.16. This shows that the three applications have fulfilled the five aspects of usability testing: learnability, memorability, efficiency, errors and satisfaction.

Method for and Analysis of Early-Stage Firm Growth Patterns Using World Bank Data

Venture growth and entrepreneurial activity impact aspects of modern societies, such as wealth creation, employment, and innovation, and also potentially influence sustainable development, a key focus in the social sciences. The study of firms has benefitted from solid theoretical foundations dating back to Edith Penrose’s The Theory of the Growth of the Firm. Yet, early-stage firms, as one of the fastest-growing types of firms, continue to be poorly understood. Therefore, we focus our analysis on the specificities of the growth patterns of new firms. Our contribution to the literature is to derive an empirically based set of growth patterns observed among early-stage firms that can be used for theory testing and in proofs. Our analysis, grounded in data from the World Bank Enterprise Surveys (WBES) encompassing over 140,000 entries, provides insights into growth patterns in early-stage firms, indirectly indicating potential intersections with sustainable business practices related, for example, to management team experience. More importantly, to make our research applicable to current real-world decisions, we evaluate the predictive capacity of these growth patterns and provide a series of conclusions that could help practitioners better evaluate the growth potential of early-stage firms.

Radiological Features of Changes in the Lungs Caused by Fast- or Slow-Growing Nontuberculous Mycobacteria

Objective: to compare radiological features of pulmonary nontuberculous mycobacterioses (NTM) caused by fast- or slow-growing mycobacteria.Material and methods. Radiological features of the disease were studied in 110 patients with newly diagnosed NTM. The patients were divided into two groups: 70 (63.6%) patients with slow-growing NTM and 40 (36.3%) with fast-growing NTM. The diagnosis was based on patient’s complaints, specified case history, radiological studies, clinical laboratory studies, sputum smear studies, bronchoalveolar lavage studies, different types of bronchial biopsies, and video-assisted thoracoscopic surgery resection samples. According to the results of high-resolution computed tomography (HRCT), a comparative analysis of the degree of involvement in the pathological process of such anatomical formations as parenchyma and stroma, vessels, bronchi, pleura and intrathoracic lymph nodes was carried out.Results. The analysis of HRCT studies showed that fast-growing NTM is not characterized by gross deformation of bronchopulmonary structures. There is a more pronounced infiltrative phase with the involvement of vessels, pleura and bronchial lesions of smaller generations, the formation of broncho-bronchiolectasias and symptoms of bronchiolitis, faster clinical and radiological involution under dynamic observation. Slow-growing NTM is characterized by a more severe deformation of bronchopulmonary structures with the formation of different-sized bronchiectasis, bronchogenic cavities, a more torpid course of the inflammatory process.Conclusion. Despite the similarities of clinical and radiological patterns of NTM, we established some distinguished features for slow-growing and fast-growing types.

Approaches to cyber security in small and medium-sized enterprises: Why it needs to change

Over the last decade, the growth in technology has created numerous opportunities for businesses to improve efficiency, develop new products and services and reach new customers. But it has also provided an opportunity for the criminal fraternity to find new, and incredibly lucrative, ways of targeting victims from anywhere in the world. This has led to cybercrime becoming one of the fastest-growing types of crime affecting individuals, businesses and third-sector organisations alike. For example, in England and Wales, official government statistics show the number of cybercrime incidents has risen by 89 per cent in the past year alone. This paper describes the effect cybercrime has on small and medium-sized enterprises (SMEs), in particular those at the smaller end of the spectrum. The paper explains why SMEs are among the most vulnerable to a breach or an attack and what challenges they face against this growing threat. The paper also describes what the UK government is doing to support SMEs specifically.

Time trends and projections in the prevalence of gestational diabetes mellitus in Queensland, Australia, 2009-2030: Evidence from the Queensland Perinatal Data Collection.

Gestational diabetes mellitus (GDM) is the fastest-growing type of diabetes in Australia. We aimed to assess the time trends during 2009-2018 and projections of GDM in Queensland, Australia up to 2030. The study data were from the Queensland Perinatal Data Collection (QPDC) and included data on 606 662 birth events with the births reported from at least 20 weeks gestational age or birth weight at least 400 g. Bayesian regression model was used to assess the trends in the prevalence of GDM. The prevalence of GDM increased from 5.47 to 13.62% from 2009 to 2018 (average annual rate of change, AARC = +10.71%). If the trend remains the same, the projected prevalence will increase to 42.04% (95% uncertainty interval = 34.77-48.96) by 2030. Observing AARC across different subpopulations, we found that the trend of GDM increased markedly among women living in inner regional areas (AARC = +12.49%), were non-Indigenous (AARC = +10.93%), most disadvantaged (AARC = +11.84%), aged either of two age groups (AARC = +18.45% and + 15.17% for <20 years and 20-24 years, respectively), were with obesity (AARC = +11.05%) and smoked during pregnancy (AARC = +12.26%). Overall, the prevalence of GDM has sharply increased in Queensland, and if this trend continues, about 42% of pregnant women will experience GDM by 2030. The trends vary across different subpopulations. Therefore, targeting the most vulnerable subpopulations is vital to prevent the development of GDM.

Sex Differences In Cultural Tourism Destination Image: The Case Of Málaga (Spain)*

abstract Cultural tourism is one of the most sustainable and fastest-growing types of tourism, and so has been widely studied. Despite countless works analyzing the possible factors that can condition the choice of the tourist destination, few have addressed how they may differ by sex and within cultural tourism, and they contradict. This paper analyzes this phenomenon through the dimensions of cultural offerings, services and motivations in the city of Málaga, a very tourist city in Spain, which is the fourth country out of 167 with the most world heritage sites—UNESCO. Partial least squares—structural equation modelling (PLS-SEM) and importance-performance map analysis (IPMA) were performed for a database of 415 cultural tourists survey responses. The results showed differences between constructs depending on the sex of the tourists. For men, the factor that most affects the choice of destination is tourist motivation—namely, the reason for their visit— followed by services. Conversely, services are first for women, followed by cultural offerings and motivations. The results of this study can be valuable when designing more specific tourism strategies adapted to the profile of tourists.

Morphological diagnosis of nontuberculous mycobacteriosis in the surgical material of patients with pulmonary tuberculosis

Objective: to analyze the results of a morphological study of the lung tissue and small airways in the surgical material of patients with a combination of tuberculoma and nontuberculous mycobacteriosis of the lungs caused by different types of pathogen.Materials and methods. A comparative retrospective histological study of the surgical material of 34 patients with a combination of LT and NM with established microbiological different types of non-tuberculous mycobacteria (NTMB) and 36 patients with LT without concomitant pathology was carried out.Results. Diagnostically significant differences in the morphological picture of TL and NM, which manifests its morphological features in areas free from foci of tuberculosis, were revealed. The features of changes in the lung tissue and small airways in patients with slow- and fast-growing types of NTMB are shown.Conclusion. The results obtained are aimed at resolving the issue of possible correction of chemotherapy in the postoperative period.

The Expansion of Title V: A Historical Analysis of the Promoting Postbaccalaureate Opportunities for Hispanic Americans Program

Understanding the development of major educational policies is essential, especially federal policies integral to Hispanic-Serving Institutions (HSIs)—one of the fastest-growing types of postsecondary institutions in the United States, which collectively serve over two-thirds of Latina/o/x-identified college students. Accordingly, in this archive-based study, we explore the expansion of Title V, specifically the creation of the Postbaccalaureate Opportunities for Hispanic Americans Program, and how advocates framed the need for this program. Specifically, employing McBeth et al.’s policy narrative framework, we story how Congress came to enact this program, describing the setting, characters, and plot of this policy process. In doing so, we make visible via narration how federal policy unfolds and the relationship between federal and state-level policy. Additionally, we show that nationalist, capitalist, and democratic logics are often used to justify programs to support the Latina/o/x community. Considering the findings, we conclude with implications for policy and future research. Ultimately, using this innovative lens, we expand the HSI literature and complexify the understanding of Title V.

Optimal Approximation of Fractional Order Brain Tumor Model Using Generalized Laguerre Polynomials

A brain tumor occurs when abnormal cells form within the brain. Glioblastoma (GB) is an aggressive and fast-growing type of brain tumor that invades brain tissue or spinal cord. GB evolves from astrocytic glial cells in the central nervous system. GB can occur at almost any age, but the occurrence increases with advancing age in older adults. Its symptoms may include nausea, vomiting, headaches, or even seizures. GB, formerly known as glioblastoma multiforme, currently has no cure with a high rate of resistance to therapy in clinical treatment. However, treatments can slow tumor progression or alleviate the signs and symptoms. In this paper, a fractional order brain tumor model was considered. The optimal solution of the model was obtained using an optimization method based on operational matrices. The solution to the problem under study was expanded in terms of generalized Laguerre polynomials (GLPs). The study problem was shifted to a system of nonlinear algebraic equations by the use of Lagrange multipliers combined with operational matrices based on GLPs. The analysis of convergence was discussed. In the end, some numerical examples were presented to justify theoretical statements along with the patterns of biological behavior.

Assessment of the recycling potential of valuable metals by mapping the elemental composition in discarded light-emitting diodes (LEDs)

Electronic waste (e-waste) is the world's fastest-growing type of waste, with lighting accounting for 9% of the total. Light-emitting diodes (LEDs) are composed of the most concentrated critical elements (Ag and Au) and recovery of these metals could generate economic benefits and reduce the burdens of environmental pollution; nevertheless, the absence of information about their composition currently presents a challenge in recycling these metals with minimal prospects for recovery. This study assessed the distribution and variation of elemental concentrations of 16 different elements in three generations of LEDs (12 different LED units): sub-mounted-device (SMD #10), chip-on-board (COB #1), and positive-intrinsic-negative (PIN #1). The SMD LEDs contained a considerable amount of Au with a median average concentration of 1204 mg/kg (ranging from 323 − 3687 mg/kg), which was similar to that of COB (1550 mg/kg), but higher than that of PIN LED (175 mg/kg). Based on the total threshold limiting concentration (TTLC), the Cu levels (605,823 mg/kg) in the SMD package exceeded the regulatory limits (2500 mg/kg). Concentrations of the hazardous elements Cr (29 mg/kg), Pb (12 mg/kg), Cd (0.1 mg/kg), and As (1 mg/kg) in the LED packages were within the regulatory limits. To recycle precious metals and other technological metals, a well-organized and dedicated optimized assessment of the value of metals is required especially in accordance with the concept of criticality and recyclability. Two factors, i.e., a high resource index (RI) and technology index (TI), suggest the importance of waste to the economy and has a significant potential for recycling with less processing burdens. Present findings indicated that the COB and a few of the studied SMD LEDs (3020, 4014, 5630, and 7020), exhibit high criticality and recyclability. For the RI and TI index, the contribution of metals such as Cu, Fe, Al, and Au were dominant. These findings can serve as a reference for the development of a viable approach for the recycling and recovery of targeted metals from LED e-waste.

Regional economic potential for recycling consumer waste electronics in the United States

Waste electronics are a growing environmental concern but also contain materials of great economic value. If properly recycled, waste electronics could enhance the sustainability of vital metal supply chains by offsetting the increasing demand for virgin mining. However, rapid changes in the size and composition of electronics complicate their end-of-life management. Here we couple material flow and geospatial analyses on over 90 critical consumer electronic products and find that over 1 billion devices, representing up to 1.5 million tonnes of mass, could be discarded annually in the United States by 2033. Emerging electronics such as connected home, health and augmented/virtual reality devices have become the fastest-growing types in the waste stream. We highlight policy opportunities to develop various sustainable circularity strategies around metal supply chains by showing the potential to integrate waste electronics and virgin mining pathways in western US regions, while new infrastructure designed specifically for waste electronics treatment is favourable in the central and eastern United States. Furthermore, we show the importance of building national-level refining and tear-down databases to improve electronics end-of-life management in the next decade.

The 10th ACM SIGSPATIAL International Workshop on Analytics for Big Spatial Data (BigSpatial 2022)

Analysis and management of big data are important areas of research for data researchers and scientists. Both the industry and governmental agencies have invested tremendous resources and effort in the area of big data analysis and management in the past decade. Within the realm of big data, spatial and spatio-temporal data are still one of the fastest-growing types of data. With advances in remote sensors, sensor networks, and the proliferation of location sensing devices in daily life activities and common business practices, the generation of disparate, dynamic, and geographically distributed spatiotemporal data has continued to explode in recent years. In addition, significant progress in ground, air, and space-borne sensor technologies has led to unprecedented access to earth science data for scientists from different disciplines. For example, NASA recently collected its 10 millionth Landsat image [4] and the volume of satellite imagery being collected has reached the petabyte scale. Analysis of this large-scale data poses new challenges to researchers.

Adapting the wellness offer in Slovenian spas to the new COVID-19 pandemic conditions*

ABSTRACT The COVID-19 pandemic has had a markedly negative impact on global tourism and, on the other hand, has offered new opportunities for researchers to analyze the resilience of the tourism industry in such conditions. Recently, several scientific articles have emerged claiming that the COVID-19 pandemic could represent an opportunity for significant changes in tourism. This refers to changing practices at several levels and spreading new ethical principles. The pandemic has also made people aware of the importance of “well-being”. Even without a pandemic, wellness tourism has been one of the fastest-growing types of tourism in recent years. In all parts of the world, including Slovenia, natural spas have tried to adapt to new conditions during the COVID-19 pandemic. Our analysis confirms that visitors to Slovenian spas strongly support introducing new/alternative activities and thus the dispersion of visitors to several locations. They showed the greatest interest in visiting nature in the vicinity of spas, which is also expected as a result of the closure during the pandemic. The purpose of our article is to give suggestions for offering alternative activities in Slovenian natural spas. However, adapting the wellness offer in spas should ensure that the basic traditional principles of wellness are maintained.

Annealing Engineering in the Growth of Perovskite Grains

Perovskite solar cells (PSCs) are a promising and fast-growing type of photovoltaic cell due to their low cost and high conversion efficiency. The high efficiency of PSCs is closely related to the quality of the photosensitive layer, and the high-quality light absorbing layer depends on the growth condition of the crystals. In the formation of high-quality crystals, annealing is an indispensable and crucial part, which serves to evaporate the solvent and drive the crystallization of the film. Various annealing methods have different effects on the promotion of the film growth process owing to the way they work. Here, this review will present a discussion of the growth puzzles and quality of perovskite crystals under different driving forces, and then explain the relationship between the annealing driving force and crystal growth. We divided the main current annealing methods into physical and chemical annealing, which has never been summarized before. The main annealing methods currently reported for crystal growth are summarized to visualize the impact of annealing design strategies on photovoltaic performance, while the growth mechanisms of thin films under multiple annealing methods are also discussed. Finally, we suggest future perspectives and trends in the industrial fabrication of PSCs in the future. The review promises industrial manufacturing of annealed PSCs. The review is expected to facilitate the industrial fabrication of PSCs.

杭州午潮山天然次生林木本幼苗组成及其时空分布格局

PDF HTML阅读 XML下载 导出引用 引用提醒 杭州午潮山天然次生林木本幼苗组成及其时空分布格局 DOI: 10.5846/stxb202105191310 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 浙江省省属科研院所扶持专项(2021F1065-6，2020F1065-4) Composition and the spatio-temporal distribution pattern of tree seedling in natural secondary forest of Wuchao Mountain, Hangzhou Author: Affiliation: Fund Project: Zhejiang Provincial Research Institutes Support Special Projects(2021F1065-6, 2020F1065-4)。 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:木本植物幼苗是森林生态系统的重要的组成部分,其定居、存活、生长的生态学过程对于森林植被的更新具有潜在指示和筛选作用。为探究浙江杭州午潮山亚热带常绿阔叶次生林群落更新和演替机制,基于样方法对150 m2样地内天然更新幼苗的物种组成、数量特征和基径结构进行统计,在此基础上采用最近邻分析和Ripley's K函数的点格局方法,分析其中主要优势树种的更新动态及其时空分布格局。结果表明:(1)样地内乔木幼苗树种组成丰富,共调查到幼苗811株,隶属12科20属27种,其中樟科Lauraceae、壳斗科Fagaceae、山茶科Theaceae和山矾科Symplocaceae为主要优势科。(2)红楠Machilus thunbergii、薄叶润楠M. leptophylla、毛柄连蕊茶Camellia fraterna和刨花润楠M. spauhoi在所有调查物种重要值排序前4,因而被确定为优势林下植物,绘制的基径结构小提琴图(violin plot)进一步显示它们的种群分属快速增长型、稳定增长型、缓慢增长型和稳定型。(3)红楠、薄叶润楠和刨花润楠在小径级和小尺度上多呈聚集分布,随生长发育和空间尺度的增加,聚集强度呈现先增高后降低趋势,最终向离散分布或随机分布转变,可视为群落演替的早期树种;同时,三者在聚集强度上有所差异,排序为红楠＞薄叶润楠＞刨花润楠。毛柄连蕊茶Camellia fraterna种群密度较低,在小径级和小尺度上呈随机分布,随生长发育和空间尺度的增加,聚集强度呈波动趋势,最终向离散分布转变,可视为演替的中期树种。本研究在小尺度上初步揭了午潮山木本幼苗种群的演替过程中的种群结构和分布格局,可以为亚热带森林管理与植被恢复提供理论依据。 Abstract:Woody plant seedlings are an essential part of the forest ecosystem, and their ecological processes of settlement, survival and growth are potential indicators and screening for forest vegetation regeneration. To explore the regeneration and succession mechanism of the community of the subtropical evergreen broad-leaved secondary forest in Hangzhou Wuchao Mountain, Zhejiang Province, the species composition, quantitative characteristics and stem base diameter (SBD) classes of the natural regeneration seedlings in a 150 m2 plot were counted based on the sample plot method. On this basis, the nearest neighbor analysis (NNA) and the point pattern method of Ripley's K function were adopted to analyze the regeneration dynamics of the main dominant tree species and their spatio-temporal distribution patterns. Results showed that (1) tree seedlings in the plot are rich in species composition. A total of 811 seedlings were investigated, belonging to 12 families, 20 genera and 27 species, among which Lauraceae, Fagaceae, Theaceae and Symplocaceae are the main dominant families. (2) Machilus thunbergii, M. leptophylla, Camellia fraterna and M. spauhoi were identified as dominant understory plants, ranking the top four position in importance values of all investigated species. Meanwhile, the violin plot of the SBD classes further shows that the populations of these species belong to the fast-growing type, stable-growing type, slow-growing type and stable type, respectively. (3) M. thunbergii, M. leptophylla and M. spauhoi are mostly clustered at the small SBD classes and small scales. With the increase of growth and spatial scale, the clustering intensity firstly increases and then decreases, and finally changes to a discrete distribution or a random distribution. As the growth and development and the spatial scale increase, the aggregation intensity fluctuates and eventually transforms to a discrete distribution, which can be regarded as a mid-term succession tree species. Meanwhile, the three trees are different in the intensity of aggregation, sorted as M. thunbergii > M. leptophylla > M. spauhoi. The population density of Camellia fraterna is relatively low, and it is randomly distributed on small SBD classes and small scale. With the increase of growth and spatial scale, the aggregation intensity fluctuates, and finally becomes a discrete distribution. Therefore, C. fraterna can be regarded as the middle stage of succession. This study initially revealed the population structure and distribution pattern in the succession process of Wuchao Mountain woody seedling population on a small scale, which can provide a theoretical basis for subtropical forest management and vegetation restoration. 参考文献 相似文献 引证文献

Reverse Logistics Analysis on Household Electronic Waste Management Using System Dynamics Simulation Approach

E-waste is the fastest-growing type of waste in the world. The formal sector can play a role in managing waste according to environmental standards and minimizing the risk of fraction recovery with supporting facilities. However, the formal sector of e-waste management simply cannot compete with its informal sector, which has a dominant role in Indonesia. This study aims to identify what factors influence formal sector e-waste management, how it is currently performing, and to design better policies for e-waste management. This research uses the System Dynamics approach to view the complex systems of e-waste management holistically. In Jakarta, public awareness and the competition with the informal sector were the biggest challenge in this industry. The results show that public awareness-raising policies can gradually improve reverse logistics performance and economic benefits. In addition, the WEEE Processing Fund policy can double the performance and economic benefits.

ScGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics

Single-cell omics is the fastest-growing type of genomics data in the literature and public genomics repositories. Leveraging the growing repository of labeled datasets and transferring labels from existing datasets to newly generated datasets will empower the exploration of single-cell omics data. However, the current label transfer methods have limited performance, largely due to the intrinsic heterogeneity among cell populations and extrinsic differences between datasets. Here, we present a robust graph artificial intelligence model, single-cell Graph Convolutional Network (scGCN), to achieve effective knowledge transfer across disparate datasets. Through benchmarking with other label transfer methods on a total of 30 single cell omics datasets, scGCN consistently demonstrates superior accuracy on leveraging cells from different tissues, platforms, and species, as well as cells profiled at different molecular layers. scGCN is implemented as an integrated workflow as a python software, which is available at https://github.com/QSong-github/scGCN.