Search

Az expatrióta irodalmon belül a nem vállalati kiküldötteknek (önerejéből külföldön elhelyezkedő; self-initated expatriates; SIE) bejáratott irodalma van a menedzsmentben, azonban a pályakezdő expatrióták sajátosságaival eddig még senki sem foglalkozott. Jelen összefoglaló cikk célja, hogy azonosítsa és elemezze azokat a publikációkat, amelyek kifejezetten erre a csoportra fókuszálnak, azaz, akik úgy döntenek, hogy külföldön kezdik meg a pályafutásukat, beleértve a munkatapasztalat nélküli vagy csekély szakmai tapasztalattal rendelkezőket. Külön hangsúlyt helyezünk a karriermotivációjuk, viselkedésük, és globális karrierhez való hozzájárulásuk megértésére. A cikk két tekintetben járul hozzá a szakirodalomhoz, egyrészt összefoglalja a témában az elmúlt évtizedekben készített kutatások lényeges következtetéseit, másrészt információval szolgál a pályakezdő önerejéből külföldön elhelyezkedő munkavállalók menedzseléséről. Ezen felül jövőbeli kutatási irányokat is kínál, rámutatva az észlelt hiányosságokra és elősegítve a levont következtetések gyakorlati alkalmazását.

Surprisingly little research has been conducted on Chinese students in Hungary, despite their growing number. Education has gradually become a crucial element in attaining higher socioeconomic status, so it is vital to understand such students’ socioeconomic backgrounds and motivation for studying in Central Eastern Europe. Applying cultural mobility theory, this article explores students’ family backgrounds and motivations for pursuing tertiary education in Hungary. Twenty-six narrative interviews were conducted and analysed using grounded theory method. The results indicate that three important factors influenced lower-middle-class Chinese students’ choices to study in Hungary: the constraints of reality, educational aspirations, and a desire for self-expression. Working-class or lower-middle-class families were required to make compromises for their children to study abroad because their financial means limited the opportunity for international study. Therefore, education in a relatively low-cost country like Hungary became an option. This research contributes to current theories of educational mobility by offering fresh understandings about students with a lower-middle class SES, the influx of working-class Chinese students into Hungary, as well as the relationship between upward social mobility and studying internationally. The recommendations for policymakers in China and Hungary made in this paper enable the development of practicable strategies for enhancing learning environments, producing positive educational outcomes, fostering equitable education systems, and ameliorating the impact of a lower SES background on educational and social mobility.

Wound infection has threatened the health of humans, and developing novel dressings by integrating infection detection and wound treatment in biomaterials is urgently required in the medical industry. In this study, we report a facile strategy to develop curcumin functionalized poly(ε-caprolactone) and gelatin composite fibrous membranes with pH real-time monitoring and antibacterial and anti-inflammatory properties. The developed curcumin-functionalized composite fibers displayed highly sensitive and visible response to the variation of the pH value of a buffer solution in the range of 5.6-8.6. In addition, the resultant fibrous membrane showed obviously enhanced antibacterial efficiency against both

In order to optimally control the marine hybrid power system (HPS) under increasingly complex regulation constraints or hardware constraints, an efficient power-flow scheduling model and optimization algorithm are of great importance. This work focuses on the optimal power-flow scheduling of marine HPS, especially on the efficiency improvement of the penalty functions for satisfying complex constraints. To be specific, an optimal operation model of marine HPS is discussed, and the complex model constraints are described as various penalty functions. Secondly, a novel optimization algorithm, namely adaptive multi-context cooperatively coevolving differential evolution algorithm with random topology and mutated context vector (AMCCDE - rt - mcv) is developed to optimize the aforementioned model. In order to ensure the satisfaction of the complex model constraints, the detailed forms for penalty functions are researched and the optimal parameters for penalty functions are comprehensively compared, analysed and tested by a set of numerical experiments. Finally, the developed methodologies are tested by simulation experiments. Experimental results show that the damping factor, exponent parameter and punish strength constant effect the efficiency of penalty functions a lot, and the developed penalty functions can effectively satisfy all the model constraints with fast response speed. With the integration of penalty functions, the developed methodology can obtain promising performance on the optimal scheduling of the evaluated marine HPS.

The automatic extraction of urban buildings based on remote sensing images is important for urban dynamic monitoring, planning, and management. The deep learning has significantly helped improve the accuracy of building extraction. Most remote sensing image segmentation methods are based on convolution neural networks, which comprise encoding and decoding structures. However, the convolution operation cannot learn the remote spatial correlation. Herein we propose the Shift Window Attention of building SWAB-net based on the transformer model to solve the semantic segmentation of building objects. Moreover, the shift window strategy was adopted to determine buildings using urban satellite images with 4 m resolution to extract the features of sequence images efficiently and accurately. We evaluated the proposed network on SpaceNet 7, and the results of comprehensive analysis showed that the network is conducive for efficient remote sensing image research.

Stacking is the process of overlaying inferred species potential distributions for multiple species based on outputs of bioclimatic envelope models (BEMs). The approach can be used to investigate patterns and processes of species richness. If data limitations on individual species distributions are inevitable, but how do they affect inferences of patterns and processes of species richness? We investigate the influence of different data sources on estimated species richness gradients in China. We fitted BEMs using species distributions data for 334 bird species obtained from (1) global range maps, (2) regional checklists, (3) museum records and surveys, and (4) citizen science data using presence-only (Mahalanobis distance), presence-background (MAXENT), and presence–absence (GAM and BRT) BEMs. Individual species predictions were stacked to generate species richness gradients. Here, we show that different data sources and BEMs can generate spatially varying gradients of species richness. The environmental predictors that best explained species distributions also differed between data sources. Models using citizen-based data had the highest accuracy, whereas those using range data had the lowest accuracy. Potential richness patterns estimated by GAM and BRT models were robust to data uncertainty. When multiple data sets exist for the same region and taxa, we advise that explicit treatments of uncertainty, such as sensitivity analyses of the input data, should be conducted during the process of modeling.

This paper proposes an Improved Multi-phase Particle Swarm Optimization (IMPPSO) to solve a Dynamic Job Shop Scheduling Problem (DJSSP) known as an non-deterministic polynomial-time hard (NP-hard) problem. A cellular neighbor network, a velocity reinitialization strategy, a randomly select sub-dimension strategy, and a constraint handling function are introduced in the IMPPSO. The IMPPSO is used to solve the Kundakcı and Kulak problem set and is compared with the original Multi-phase Particle Swarm Optimization (MPPSO) and Heuristic Kalman Algorithm (HKA). The results show that the IMPPSO has better global exploration capability and convergence. The IMPPSO has improved fitness for most of the benchmark instances of the Kundakcı and Kulak problem set, with an average improvement rate of 5.16% compared to the Genetic Algorithm-Mixed (GAM) and of 0.74% compared to HKA. The performance of the IMPPSO for solving real-world problems is verified by a case study. The high level of operational efficiency is also evaluated and demonstrated by proposing a simulation model capable of using the decision-making algorithm in a real-world environment.

China’s banking system has a relatively high level of state control, while an important task in regulating the banking system is to manage the profitability of banks. Using the stochastic frontier approach to assess the profitability of commercial banks not only allows for the bank’s ability to generate profits relative to the leading banks in the industry to be assessed but also takes into account the specifics of the management technologies used and the influence of the market environment. This article analyzes the profitability of the Chinese banking system for the period 2012–2020 using the stochastic frontier approach from the position of the central bank. The specifics of the analysis from the bank’s perspective imply a focus on the position of most banks regarding the level of best practices and trends in changing the overall level of profitability. Analysis may be of interest to banking regulators and researchers. In general, the Chinese banking system demonstrates a high level of profit efficiency and cost efficiency, although the dynamics of these indicators are negative. The reason for the negative dynamics is a decrease in the economic growth rate of the economy, the instability of the financial market and ongoing reforms. State-owned commercial banks are becoming highly profitable, while national joint-stock commercial banks are facing increasing competition and reducing efficiency of profitability. City and rural commercial banks maintain a high level of profitability due to state support.

Hazánkban viszonylag nagy számban tanulnak kínai hallgatók, akiknek a nehézségeikről, beilleszkedésükről és jövőbeli terveikről viszonylag keveset tudunk. Narratív interjúra építő kutatásunk a kínai hallgatók tapasztatait tárta fel, és arra is választ keresett, hogy milyen jövőbeli elképzeléseik vannak továbbtanulás vagy karrier tekintetében. A kutatás eredményei szerint a kínai hallgatók számtalan nehézsége közül a nyelvi akadályok és a tanulási stílusbeli különbségek kiemelkedő problémát jelentenek. A jövőjüket leginkább a bizonytalanság jellemzi, a magyar felsőoktatási tapasztalatok annyira eltérnek a kínaitól, hogy az itt szerzett tudás hasznosulása kétséges.

For the integrated development of online and offline education, teachers tap the ideological and political elements in biochemistry based on the software such as rain classroom, questionnaire star, blue ink cloud class and Tencent classroom and the actual situation of undergraduates, so as to organically integrate online teaching, curriculum ideological and political education and biochemistry. This paper introduces the exploration and practice of biochemistry and curriculum ideological politics from four aspects: the necessity of curriculum ideological politics, the mining of Ideological and political teaching elements of Biochemistry, the practical ways of online teaching and curriculum ideological politics, and the online evaluation of curriculum ideological politics. Combined with the author's practical experience, it provides reference for the interspersed of biochemical education and curriculum ideological politics in Colleges and universities.

The aim of this study was to optimize the chitosan/polycaprolactone (CS/PCL) electrospun nanofibrous membrane with random/aligned fiber structures to provide a controlled release of ciprofloxacin (Cip) and guide skin fibroblasts arrangement. A series of Cip-encapsulated CS/PCL electrospun membranes were prepared by coaxial-electrospinning. The existence of Cip in core-shell structured fibers was confirmed by using SEM, TEM and FTIR characterizations. The in vitro drug-release profiles suggested that the Cip presented a sustained release for 15 days. Simultaneously, cyto-compatibility of the membranes decreased with the increasing amount of Cip from 2.0% to 5.0%. In particular, aligned CS/PCL membrane loading with 2.0% Cip exhibited a good balanced ability between cell proliferation and antibacterial effect (99% against Escherichia coli and Staphylococcus aureus), which significantly accelerated the wound healing process in vivo. These results suggested that the aligned CS/PCL membrane loading with 2.0% Cip exhibited great antibacterial property and biocompatibility, which possess promising applications potential for wound healing.

This study aimed to evaluate the effect of functional magnetic resonance imaging (fMRI) under the fuzzy C-means (FCM) clustering algorithm on plan-do-check-action (PDCA) home nursing for patients with diabetic nephropathy (DN). As the characteristics of fMRI image data were combined, the FCM algorithm was improved and applied into the clustering processing of fMRI activation regions of patients. 64 patients with DN were chosen as the research objects and were divided into the research group with PDCA home nursing and the control group with routine home nursing. The patients were randomly divided into the research group (n = 32) and the control group (n = 32). The curative effect, nursing satisfaction, and quality of life of patients after nursing were compared. The results showed that the coverage of fMRI activation points was significantly higher as being detected by the FCM algorithm, and the running time was shortened by 33.6 min. After nursing, the total effective rates in the research group and the control group were 87.5% vs. 34.4% in 3 months, 93.8% vs. 68.8% in 6 months, and 96.9% vs. 75.0% in 12 months, respectively; those in the research group were significantly higher than those in the control group (P

Összefoglaló. Az ország nemzetköziesedő felsőoktatási rendszerében egyre több külföldi hallgató tanul hazánkban, közülük a kínai diákok alkotják a harmadik legnagyobb közösséget. Feltáró-kvalitatív kutatásunk azt vizsgálta, hogy milyen az itt tanuló kínai hallgatók családi háttere, mi motiválta őket, hogy Magyarországot választották felsőfokú tanulmányaikra, milyen első tapasztalataik vannak hazánkban. Az eredmények rámutattak arra, hogy a kínai hallgatók anyagi és társadalmi helyzete instabil. Magyarország legtöbbször kompromisszum eredményeként került kiválasztásra és a magyar kultúrába belépve gyakran elutasítást tapasztaltak. Summary. The internationalization of Hungarian higher education resulted in the growing number of international students studying here, among whom Chinese students form the third-largest group. Our explorative-qualitative research investigated the students’ family background, their motivation to choose Hungary, their experiences encounter with Hungarian culture. The results have shown that Chinese students are from working-class or lower-middle-class families with financial constraints. The choice of Hungary was the result of a compromise in most cases. Chinese students faced numerous difficulties including language barriers and exclusion.

The deleterious effects of silica nanoparticles (SiNPs) on human health and the ecological system have gradually gained attention owing to their heavy annual output and extensive global flux. The updated epidemiological or experimental investigations have demonstrated the potential myocardial toxicity triggered by SiNPs, but the underlying mechanisms and long-lasting cardiac effects are still poorly understood. Here, a rat model of sub-chronic respiratory exposure to SiNPs was conducted, and the histopathological analysis and ultrastructural investigation of heart tissues were carried out. More importantly, a comprehensive analysis of whole-genome transcription was utilized in rat heart to uncover key biological and cellular mechanisms triggered by SiNPs. The widening of myocardial space and partial fiber rupture were clearly manifested in rat heart after prolonged SiNPs exposure, particularly accompanied by mitochondrial swelling and cristae rupture. With the aid of Affymetrix GeneChips, 3153 differentially expressed genes (DEGs) were identified after SiNPs exposure, including 1916 down- and 1237 up-regulated genes. GO and KEGG analysis illustrated many important biological processes and pathways perturbed by SiNPs, mainly specializing in cellular stress, energy metabolism, actin filament dynamics and immune response. Signal-net analysis revealed that

The theory of traditional Chinese medicine (TCM) is an important part of Chinese culture. In the long history, there are a large number of excellent prescriptions, whose laws have been explored by many studies, but few works directly studied the generation of prescriptions. With the rapid development of deep learning, many applications of text generation using neural networks have emerged. Prescriptions are the doctors’ clinical experience and the results of neural networks also come from the accumulated experience. So, it is very feasible to apply deep learning techniques to the recommendation on TCM prescriptions. GAN and its variants have been applied in text generation recently. It has advantages in many aspects, such as the rapid speed of computation, the update of parameters by back propagation without Markov chain and more real data generation with two-players game. We attempted to know the important attributes of prescriptions and use these contents as the training data for variants of GAN to generate prescriptions. Specifically, we attempted to apply SeqGAN (Sequence Generative Adversarial Nets) and CGAN (Conditional Generative Adversarial Nets) to prescription generations. By underlying the knowledge of TCM, the prescriptions with different characteristics can be successfully generated. In the experiments, we conducted the comparative evaluations on the original data with other models. The results showed that applications in the innovation of prescription sequence generations have certain feasibility and significance, even can provide some reference values for the innovation of TCM.

Background: Respiratory diseases are common and frequent diseases. Due to the high pathogenicity and side effects of respiratory diseases, the discovery of new strategies for drug treatment is a hot area of research. Scutellaria baicalensis Georgi (SBG) has been used as a medicinal herb in China for over 2000 years. Baicalin (BA) is a flavonoid active ingredient extracted from SBG that BA has been found to exert various pharmacological effects against respiratory diseases. However, there is no comprehensive review of the mechanism of the effects of BA in treating respiratory diseases. This review aims to summarize the current pharmacokinetics of BA, baicalin-loaded nano-delivery system, and its molecular mechanisms and therapeutical effects for treating respiratory diseases.Method: This review reviewed databases such as PubMed, NCBI, and Web of Science from their inception to 13 December 2022, in which literature was related to “baicalin”, “Scutellaria baicalensis Georgi”, “COVID-19”, “acute lung injury”, “pulmonary arterial hypertension”, “asthma”, “chronic obstructive pulmonary disease”, “pulmonary fibrosis”, “lung cancer”, “pharmacokinetics”, “liposomes”, “nano-emulsions”, “micelles”, “phospholipid complexes”, “solid dispersions”, “inclusion complexes”, and other terms.Result: The pharmacokinetics of BA involves mainly gastrointestinal hydrolysis, the enteroglycoside cycle, multiple metabolic pathways, and excretion in bile and urine. Due to the poor bioavailability and solubility of BA, liposomes, nano-emulsions, micelles, phospholipid complexes, solid dispersions, and inclusion complexes of BA have been developed to improve its bioavailability, lung targeting, and solubility. BA exerts potent effects mainly by mediating upstream oxidative stress, inflammation, apoptosis, and immune response pathways. It regulates are the NF-κB, PI3K/AKT, TGF-β/Smad, Nrf2/HO-1, and ERK/GSK3β pathways.Conclusion: This review presents comprehensive information on BA about pharmacokinetics, baicalin-loaded nano-delivery system, and its therapeutic effects and potential pharmacological mechanisms in respiratory diseases. The available studies suggest that BA has excellent possible treatment of respiratory diseases and is worthy of further investigation and development.

To develop novel wave energy conversion devices (WECDs) with excellent performance, the relative wave height and pressure in the chambers of square and curved oscillating water column (OWC) WECDs were compared through physical model tests, and the effects of regular incident wave factors, the opening length, the opening width, and the chamber volume on the aerodynamic performance and wave energy capture efficiency (WECE) of the WECDs were investigated. The results indicated good chamber performance for both the square and curved OWC WECDs. As the incident wave height increased, the wave surface elevation, WECE, and pressure in the chamber all increased, while the relative wave height in the chamber decreased. When the opening length, width, and area of the WECD increased, both the relative wave height and chamber pressure increased. The relative wave height in the chamber increased with decreasing chamber volume; however, the chamber pressure and intrachamber WECE decreased with increasing chamber volume. It is recommended that, in actual engineering applications, the overall efficiency of the device be improved by increasing the opening length, width, area and volume of the air chamber.

This review visualizes the knowledge domain of motor speech disorders (MSDs) in linguistics between 2000 and 2019 by means of scientometric methods. With topic searches, the study collected 869 bibliographic records and 20, 411 references from Web of Science Core Collection (WoSCC) of Thomson Reuter. The clustered and visualized document co-citation network of the MSDs knowledge domain in CiteSpace identifies 15 research foci in different periods, including apraxia of speech, acoustics, children, technology, aphemia, childhood apraxia of speech, primary progressive aphasia, speech motor delay, Parkinson’s disease, amyotrophic lateral sclerosis, rhythm, foreign accent syndrome, phonation, phonological awareness, dose and speech perception. Revolving around linguistics, these foci could be divided into studies on speech characteristics of MSDs in terms of phonology and phonetics, remedies for MSDs in terms of neurolinguistics and acoustic phonetics, dysarthria secondary to neurological diseases based on pathological linguistics, subtypes of apraxia of speech, methods of MSDs based on auditory phonetics and a newly recognized subtype of MSDs. Meanwhile, the emerging trends of MSDs in linguistics are detected by the analysis of reference citation bursts, suggesting growing research in remedies for MSDs with the focus on assessments and effectiveness of treatments, speech characteristics and indexes of dysarthria secondary to neurological diseases and assistance to diagnose apraxia of speech. To sum up, the review has indicated that the acoustic measures to assess MSDs and acoustic remedies for dysarthria may not only be the past foci but also be future trends.

Studying in Hungary has become a new trend among Chinese students under the Belt and Road Initiative. The spectacular tripling of the growth of incoming Chinese students has influenced the number of international students in Hungary. In this paper, 26 in-depth narrative interviews with Chinese students in Hungary were conducted and analysed, employing the grounded theory method. This research reveals that beyond considerable uncertainty regarding future plans and career trajectories, three paths are open for Chinese students in Hungary. The largest group intends to return to China after graduation, although they have doubts concerning whether their acquired skills and knowledge can be utilised. The second group aims to find niche jobs, in which they can utilise their in-betweenness. Finally, a small proportion consciously builds their network and aims to remain in Hungary or Europe, engage in further studies or seek employment. The findings contribute to policymakers who support Chinese international educational mobility and to individual Chinese students that wish to widen their horizons and find alternative career paths.

Based on the traffic data of Beijing, this paper uses the principal component analysis method to establish a reliable indicator system of efficiency evaluation. It then uses the three-stage DEA model to evaluate the efficiency of rail transit and ground bus in 2008–2017, which describes the development trend and effective situation of rail transit and ground bus in Beijing in the past ten years. Besides, it also compares and analyzes the calculated efficiency before and after the adjustment. The research shows that the overall operation efficiency of rail transit is high and rising year by year, but the overall operation efficiency of ground bus is low and declining in recent years. The number of vehicles, as an environmental variable, leads to the virtual high and causes a significant impact on the comprehensive efficiency and pure technical efficiency of rail transit, but has little impact on the scale efficiency. Also, it leads to the virtual high of comprehensive efficiency and pure technical efficiency of ground bus but underestimates the scale efficiency.

The electrochemical synthesis of hydrogen peroxide (H2O2) from two-electron oxygen reduction reaction (2e- ORR) is a promising alternative for producing chemicals on demand, but its widespread application is still hampered by the low efficiency. Here, we successfully prepared a boron and nitrogen co-doped porous carbon (B/N C) aerogel with a tunable B, N co-doped configuration by the gelation of PVA-graphene, borax and PANI, followed by pyrolysis. Due to a hierarchical porous structure and optimized B, N co-doping, B/N C aerogel showed an excellent electrocatalytic performance for H2O2 production in alkaline solution with a high H2O2 selectivity (94.16%) at positive applied potential (0.6 V vs. RHE), superior than most of the other reported electrocatalysts. Density functional theory (DFT) calculations reveal that the hexagonal boron nitride (hBN) coupled with neighboring pyridinic-N species act as the active sites to lower free energy barrier for formation of HOO* intermediate, thus facilitating H2O2 production. Practically, B 2p electron plays an important role for the adsorption of HOO* intermediates. B and N co-doping into carbon materials provides an effective and facile method to reasonably construct carbon-based catalysts for electroreduction of O2 to H2O2.

Introduction The core competencies of nursing personnel have been identified as a main factor affecting nursing effectiveness. This study examined core emergency response competencies of Chinese nursing personnel related to the outbreak of major infectious diseases. Methods A survey was conducted among 960 nurses working in a tertiary hospital in Shanghai, China. Data were collected on core emergency response competencies of nursing personnel caring for patients with major infectious diseases, measuring overall competency as well as by dimensions of prevention ability, rescue ability, and preparation ability. A t-test and one-way analysis of variance were first analyzed for differences between groups, followed by multiple linear regression to analyze main influencing factors for core emergency response competencies. Results The average score for core emergency response competencies of nursing personnel delivering care to patients with major infectious diseases was 128.05 (SD 22.23) (range 36–180 points); or 71%, which is equivalent to moderate performance. Multiple linear regression analysis demonstrated that the main influencing factors for these nursing personnel were before participation in emergency drills for infectious diseases, current educational background, and working experience in the realm of infectious disease nursing. The final model explained 8.4% of the variance in core emergency response competencies. Discussion These findings indicate that it is necessary to strengthen the training of nursing staff with educational background deficits or no prior work or drill experience related to infectious diseases to effectively improve the core emergency response competencies of nursing personnel relative to infectious diseases.

PurposeConsumer adoption of shared products is a prerequisite for successful commercialization. The purpose of this paper is to explore what innovative characteristics of entity shared products can accommodate consumers' concerns and are likely to motivate adoption of consumers.Design/methodology/approachThis paper used a conceptual model that combined the innovation diffusion theory and technology acceptance model to explore shared products adoption. It identified the direct and indirect effects of perceived app ease of use/online, perceived convenience of access/offline, perceived utility advantages and personal innovativeness on shared products adoption intention. Structural equation modeling was used for analyzing the questionnaire data from a sample of 479 users who used entity shared products such as shared cars, shared bicycles and shared power banks for mobile phones.FindingsThe empirical tests indicate that perceived utility advantages based on market innovation, perceived accessibility of usage rights based on technology innovation (including perceived app ease of use/online and perceived convenience of access/offline) and consumer personal innovativeness are the key factors affecting consumer adoption.Originality/valueThis paper constructs an innovation-adoption coupling model of entity shared products to understand shared products usage. The findings provide useful practical guidance for the design and development of shared products and “usage rights economy” business applications.

Doped-carbon nanomaterials as effective electrocatalysts have been received widespread attention in oxygen reduction reaction (ORR) and supercapacitors system. Herein, the high-active Fe atoms dispersed on hierarchically porous N-doped carbon (FeNC-X) is synthesized via inflating the Fe-ion-denatured egg-white, followed by activation and pyrolysis. Among them, the as-prepared FeNC-900 for ORR that has an inner-connecting hierarchically porous structure shows a superior performance with a limiting current density of 5.28 mA cm−2 and half-wave potential (E1/2) of 0.839 V (vs RHE), and exhibits a 4 e− ORR pathway in the alkaline medium. FeNC-900 also shows better durability and good methanol tolerance than those of commercial Pt/C. Besides, FeNC-900 exhibits an outstanding specific capacity of 258 F g−1 at 1 A g−1 for supercapacitor. The method presented here may provide a cost-efficient approach to fabricate carbon-based materials for ORR and supercapacitors.