Search Results (43)

Business incubators contribute to the growth of a country, and it is of great interest to deepen knowledge of the impact of incubation phases on the results of incubators to evaluate the effectiveness of developed incubation programs. The objective of this research was to propose a model that quantitatively related different incubation phases to the graduation rate of business incubators in Spain. A sample of 88 incubators was obtained. The survey included 42 items identified in different phases (spreading entrepreneurship, 9 items; pre-incubation, 9 items; basic incubation, 9 items; advanced incubation, 6 items; and graduation, 9 items) and four hypotheses relating to the existence of a positive influence from the startup incubation phases on the incubators results. These were validated by using a structural equation model (SEM) with five latent variables. Three of the four proposed hypotheses that linked startup pre-incubation (H2), basic incubation (H3), and advanced incubation (H4) with graduation rates in Spanish incubators were accepted. These startup incubation stages showed a positive influence on the startup graduation rate. The advanced incubation stage had a very strong relationship with the graduation rate (β = 0.543). Furthermore, a strong indirect effect between business incubation and the graduation rate, explaining 71% of the success of the incubators, was found. Proposals for improvement in each incubation phase to enhance the results of the business incubators are provided. Furthermore, future challenges that should be incorporated into the development of incubator programs, such as the social focus, the implementation of a training and monitoring model, an increase in network businesses, the internationalization of incubators with a globalized approach, the sustainability of the startup’s approach, and the transfer focus, are raised. Given the high variability of Spanish incubators and the wide sampling range, the model could be extended to other contexts with similar behavior within the sample range. Full article

This study explores the factors influencing entrepreneurial intentions among students in northwestern Croatia, with a focus on educational background, family entrepreneurial environment, studying experiences, and perceived self-efficacy. Empirical research was conducted between March and June 2024 on a sample of 160 students from northwestern Croatia, and a multiple regression analysis was performed to identify key predictors of entrepreneurial intentions. The results revealed that entrepreneurial self-efficacy significantly impacted students’ intentions to start and run successful businesses, aligning with prior research on entrepreneurial behavior. However, other factors, such as family background and entrepreneurial education, showed no significant influence in this specific regional context. The findings suggest that educational programs should emphasize developing entrepreneurial self-efficacy to foster future entrepreneurs. This study highlights the importance of integrating entrepreneurial activities, such as business plan competitions and start-up incubators, into the curriculum. Limitations related to sample size and cross-sectional design are acknowledged, and future research is encouraged to explore additional factors and larger samples. This research provides valuable insights for educators and policymakers seeking to enhance students’ entrepreneurial capacities and support regional economic development. Full article

This study examines the characteristics of green startups and the progression of their resource utilization patterns during the pandemic emergency, focusing on case studies from the Startup Incubation and Innovation Centre (SIIC) of the Kanpur Indian Institute of Technology (IITK). This study explores how these startups overcame lockdown challenges and identified the resources they utilized throughout various development stages. The findings reveal that the green startups in the sample share characteristics of visionary and inventive startups, often lacking formal business education but possessing strong technical skills and social engagement. They rely heavily on human and social resources in the early stages, leveraging their networks and stakeholder support to define and develop their green innovations. The research also highlights the importance of open innovation strategies, particularly in the product development stage, where startups leverage research labs and expertise within the IITK ecosystem. This study increases the literature on green startups and offers practical recommendations for young green entrepreneurs, emphasizing the importance of operating in familiar industries, building stakeholder networks, and utilizing open innovation strategies for successful green innovation development. Full article

The aim of this work was to classify the business incubators in Spain according to the four phases of the startup’s incubation process. Considering that the graduation rate implies greater survival and business success of the incubated companies, they have been identified at each stage of the incubation (spread of entrepreneurship, pre-incubation, advanced incubation, and graduation). The activities that present higher impacts on the success of the incubated companies and the activities carried out by the business incubator that have a greater relevance on the graduation of the companies have concretely been considered. Principal component (PC) cluster analysis has been applied. All the incubation variables were used simultaneously, reducing their number and grouping them into factors. Finally, the cases were grouped according to these latent variables. Principal component analysis reduced dimensionality to eight factors with a 74% explained variance. Factor 1 was positively related to pre-incubation variables; factor 2 was linked to training and collaboration variables within the entrepreneurship diffusion phase. Factor 3, named activity monitoring and control, was related to phase 3, or basic incubation variables. Cluster analysis facilitates the grouping of business incubators into three clusters: Group 1 (16% of the total), incubators with strong deficits in incubation phases 1, 2, and 3. They are small-sized business incubators, often located in rural areas or cities, with a low graduation rate. Group 2 (30%), business incubators with a very high graduation rate and strongly positive values in factors 1 and 2. Factor 3, although positive, is susceptible to improvement. They are the largest group of business incubators and usually located in industrial and technological parks. Group 3 (54%) is the majority, with values close to clusters 2 and 3. Full article

The removal of benzene, toluene, ethylbenzene, and xylene (BTEX) from air was investigated in two similar biotrickling filters (BTFs) packed with polyurethane (PU) foam, differing in terms of inoculation procedure (BTF A was packed with pre-incubated PU discs, and BTF B was inoculated via the continuous recirculation of a liquid inoculum). The effects of white rot fungi enzyme extract addition and system responses to variable VOC loading, liquid trickling patterns, and pH were studied. Positive effects of both packing incubation and enzyme addition on biotrickling filtration performance were identified. BFF A exhibited a shorter start-up period (approximately 20 days) and lower pressure drop (75 ± 6 mm H₂O) than BTF B (30 days; 86 ± 5 mm H₂O), indicating the superior effects of packing incubation over inoculum circulation during the biotrickling filter start-up. The novel approach of using white rot fungi extracts resulted in fast system recovery and enhanced process performance after the BTF acidification episode. Average BTEX elimination capacities of 28.8 ± 0.4 g/(m³ h) and 23.1 ± 0.4 g/(m³ h) were reached for BTF A and BTF B, respectively. This study presents new strategies for controlling and improving the abatement of BTEX in biotrickling filters. Full article

The advent of intracranial stents has revolutionized the endovascular treatment of cerebral aneurysms. The utilization of stents has rendered numerous cerebral aneurysm amenable to endovascular treatment, thereby obviating the need for otherwise invasive open surgical options. Stent placement has become a mainstream approach because of its safety and efficacy. However, further improvements are required for clinically approved devices to avoid the frequent occurrence of thrombotic complications. Therefore, controlling the thrombotic complications associated with the use of devices is of significant importance. Our group has developed a unique stent coated with a 2-methacryloyloxyethyl phosphorylcholine (MPC)-based polymer. In this study, the surface characteristics of the polymer coating were verified using X-ray photoelectron spectroscopy and atomic force microscopy. Subsequently, the antithrombotic properties of the coating were evaluated by measuring platelet count and thrombin–antithrombin complex levels of whole human blood after 3 h of incubation in a Chandler loop model. Scanning electron microscopy was utilized to examine thrombus formation on the stent surface. We observed that MPC polymer-coated stents significantly reduced thrombus formation as compared to bare stents and several clinically approved devices. Finally, the coated stents were further analyzed by implanting them in the internal thoracic arteries of pigs. Angiographic imaging and histopathological examinations that were performed one week after implantation revealed that the vascular lumen was well maintained and coated stents were integrated within the vascular endothelium without inducing adverse effects. Thus, we demonstrated the efficacy of MPC polymer coating as a viable strategy for avoiding the thrombotic risks associated with neurovascular stents. Full article

Background: Acute pulmonary embolism (PE) is a critical condition where the timely and accurate assessment of right ventricular (RV) dysfunction is important for patient management. Given the limited availability of echocardiography in emergency departments (EDs), an artificial intelligence (AI) application that can identify RV dysfunction from electrocardiograms (ECGs) could improve the treatment of acute PE. Methods: This retrospective study analyzed adult acute PE patients in an ED from January 2021 to December 2023. We evaluated a smartphone application which analyzes printed ECGs to generate digital biomarkers for various conditions, including RV dysfunction (QCG-RVDys). The biomarker’s performance was compared with that of cardiologists and emergency physicians. Results: Among 116 included patients, 35 (30.2%) were diagnosed with RV dysfunction. The QCG-RVDys score demonstrated significant effectiveness in identifying RV dysfunction, with a receiver operating characteristic–area under the curve (AUC) of 0.895 (95% CI, 0.829–0.960), surpassing traditional biomarkers such as Troponin I (AUC: 0.692, 95% CI: 0.536–0.847) and ProBNP (AUC: 0.655, 95% CI: 0.532–0.778). Binarized based on the Youden Index, QCG-RVDys achieved an AUC of 0.845 (95% CI: 0.778–0.911), with a sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of 91.2% (95% CI: 82.4–100%), 77.8% (95% CI: 69.1–86.4%), 63.3% (95% CI: 54.4–73.9%), and 95.5% (95% CI: 90.8–100%), respectively, significantly outperforming all the expert clinicians, with their AUCs ranging from 0.628 to 0.683. Conclusions: The application demonstrates promise in rapidly assessing RV dysfunction in acute PE patients. Its high NPV could streamline patient management, potentially reducing the reliance on echocardiography in emergency settings. Full article

The rapid evolution of technology has reshaped the global economy, intensified competition, and prompted industry players to embrace innovation to maintain sustained competitiveness. In Indonesia, business incubators, overseen by universities and provincial/city governments, are pivotal. However, understanding the determinants of business incubator performance remains limited. This study investigates 24 statement items aiming to uncover the factors influencing technology business incubators in Indonesia, focusing on knowledge management as a mediating variable from a knowledge-based perspective. Employing a quantitative approach, structural equation modeling (SEM) is utilized to scrutinize these factors’ impact on business incubator performance. The findings reveal that knowledge management serves as a full and partial mediator among funding support, government assistance, incubator governance, and business incubator technology performance. This research offers valuable insights for entrepreneurs and stakeholders by emphasizing the significance of funding, governmental backing, incubator governance, and knowledge management in enhancing incubator business technology performance in Indonesia. Full article

The study of two-stage partial nitrification–anaerobic ammonium oxidation (PN/A) reactors, which are advantageous in engineering applications, still lacks research on process kinetics. Therefore, in this study, the start-up performance and process kinetics of a two-stage PN/A reactor were evaluated by controlling the reaction conditions, for which the two reactors were inoculated with sludge, incubated separately, and then operated in tandem. Increasing the ammonia load of the reactor during the 60 d stabilization period resulted in a nitrogen accumulation rate of 96.93% and a [NO₂⁻ − N]_Eff/[NH₄⁺ − N]_Eff ratio of 1.33, which is close to the theoretical value of 1.32. Successful initiation of the A reactor was achieved after 55 d of operation by inoculating with anammox-activated sludge and granular activated carbon, and the PN and A reactors then successfully operated in combination for 20 d, with an average NH₄⁺ − N efficiency of 99.04% and the NH₄⁺ − N load of the A reactor showing an “S-shaped” curve. An analysis of the microbial growth kinetic models indicated that the removal of NH₄⁺ − N could be successfully described by the logistic, modified logistic, modified Gompertz, and modified Boltzmann models. A strong association between the model and the dependent variable was observed. The process kinetic analysis showed that the removal of NH₄⁺ − N from reactor A could be simulated under steady-state conditions, using the Grau second-order model. The parameters obtained from the model analysis are expected to help predict the denitrification performance of the reactor, facilitate operational management and control, and thus provide a promising research basis for the introduction of automated control systems. Full article

Near-infrared photoimmunotherapy (NIR-PIT) is a novel cancer therapy based on a monoclonal antibody (mAb) conjugated to a photosensitizer (IR700Dye). The conjugate can be activated by near-infrared light irradiation, causing necrotic cell death with high selectivity. In this study, we investigated NIR-PIT using a small protein mimetic (6–7 kDa, Affibody) which has more rapid clearance and better tissue penetration than mAbs for epidermal growth factor receptor (EGFR)-positive salivary gland cancer (SGC). The level of EGFR expression was examined in vitro using immunocytochemistry and Western blotting. Cell viability was analyzed using the alamarBlue assay. In vivo, the volume of EGFR-positive tumors treated with NIR-PIT using the EGFR Affibody–IR700Dye conjugate was followed for 43 days. It was found that NIR-PIT using the EGFR Affibody–IR700Dye conjugate induced the selective destruction of EGFR-positive SGC cells and restricted the progression of EGFR-positive tumors. We expect that NIR-PIT using the EGFR Affibody–IR700Dye conjugate can efficiently treat EGFR-positive SGC and preserve normal salivary function. Full article

Considering the SECI model, which emphasizes a modern conception of knowledge management, the main objective of this study is to understand how the socialization, externalization, combination, and internalization (SECI) dimensions can influence innovative behavior within organizations. The quantitative method was adopted, carrying out a descriptive-correlational study in which 247 individuals participated. For data collection, a questionnaire was used. Their analysis was performed using SPSS software. The results show that of the four dimensions of the SECI model, only three have a positive influence on innovative behavior: externalization, combination, and internalization. This study highlights the importance that the SECI model has in understanding knowledge generated by companies/organizations, in particular, startups. It is possible to state that this model is extremely important to understand innovative behavior in startups, but also issues related to entrepreneurship, thus rendering this study into a guiding reference for companies. Full article

Soil microbial fuel cells (SMFCs) are bioelectrical devices powered by the oxidation of organic and inorganic compounds due to microbial activity. Seven soils were randomly selected from Bergen Community College or areas nearby, located in the state of New Jersey, USA, were used to screen for the presence of electrogenic bacteria. SMFCs were incubated at 35–37 °C. Electricity generation and electrogenic bacteria were determined using an application developed for cellular phones. Of the seven samples, five generated electricity and enriched electrogenic bacteria. Average electrical output for the seven SMFCs was 155 microwatts with the start-up time ranging from 1 to 11 days. The highest output and electrogenic bacterial numbers were found with SMFC-B1 with 143 microwatts and 2.99 × 10⁹ electrogenic bacteria after 15 days. Optimal electrical output and electrogenic bacterial numbers ranged from 1 to 21 days. Microbial DNA was extracted from the top and bottom of the anode of SMFC-B1 using the ZR Soil Microbe DNA MiniPrep Protocol followed by PCR amplification of 16S rRNA V3-V4 region. Next-generation sequencing of 16S rRNA genes generated an average of 58 k sequences. BLAST analysis of the anode bacterial community in SMFC-B1 demonstrated that the predominant bacterial phylum was Bacillota of the class Clostridia (50%). However, bacteria belonging to the phylum Pseudomonadota (15%) such as Magnetospirillum sp. and Methylocaldum gracile were also part of the predominant electrogenic bacterial community in the anode. Unidentified uncultured bacteria accounted for 35% of the predominant bacterial community. Bioelectrical devices such as MFCs provide sustainable and clean alternatives to future applications for electricity generation, waste treatment, and biosensors. Full article

The construction of business incubator platforms to assist young people who return to their hometowns to launch their own enterprises is urgently needed because youth entrepreneurship is seen as a crucial component of rural revitalization. Based on this, the authors of this study distributed surveys to 468 returning youths in rural startup spaces to gather data, built a structural model, and conducted interviews with 13 entrepreneurial youths to examine the relationship between government policies, services, and the design of rural startup spaces, as well as the self-efficacy of returning entrepreneurial youths and the innovation performance of businesses. The results demonstrate how important government policies are in encouraging youth entrepreneurship in their local communities. It has the potential to enhance both the development of rural crowdsourcing spaces and the self-efficacy of young entrepreneurs, thereby enhancing the innovative capabilities of local entrepreneurial businesses. Therefore, in order to encourage economic development in rural areas, the government should improve pertinent support measures, enhance the development of business incubation platforms, and encourage young people moving back to their hometowns to start their own businesses. Full article

The mineralization of nitrogen in apple orchard soil will increase the soil supply. An incubation study to test the soil potential and the validity of analytical methods was conducted at 3, 8, 15, and 20 °C for up to 128 days on soils from western and south-eastern Norway. Soils with the highest pH showed the highest mineralization. The mineralization increased with increasing temperature and time, but start-up N reduced mineralization. The mineralization cannot be estimated from standard soil chemical parameters because the different C/N ratio indicates organic material of different origin and quality. The increase in NO₃-N started very quickly and ranged from 17 to 182% and 12 to 64% after 8 days at 3 °C and 20 °C, respectively. There was no correlation between total N in the soil and the amount of mineralized N. On average, the mineralization increased by 5–7% for a change of 1 °C in the interval from 8 to 15 °C in the soil. The chemical extraction method using heated KCl correlated well with the mineralization data. On average, the chemical method estimated 30 kg N ha⁻¹, which corresponded to 0.48% of total N. Recommendations for N fertilization based on total N in the soil overestimate the contribution of plant-available N in most cases. Full article

Startup accelerators are a highly useful part of the entrepreneurial ecosystem. They are responsible for supporting young innovative enterprises with innovative ideas at the early stages of their development. Problems related to building a business model, raising funds for business development, or determining the directions of development of the products and services offered are often just the tip of the iceberg, which can be a serious obstacle preventing survival on the market and achieving commercial success. Accelerators are entities supporting innovation, which, using the tools and programs they have, can significantly facilitate issues related to running a business by immature start-ups and significantly contribute to overcoming the challenges that constantly appear before them. Due to the importance of innovation in the global economy and its obvious connection with start-ups, scientists in the last decade have clearly marked their interest in the subject of start-up accelerators. The purpose of this research work is to present the current state of knowledge in the area of accelerators and to systematize it. For this purpose, a literature review describing issues related to start-up accelerators was reviewed and a bibliometric analysis was carried out. As a result of the research, the topics in the area of accelerators that were most often taken up by scientists and the details on which previous publications focused were shown. The authors hope that the presented study will be valuable material for theoreticians conducting future research on start-up accelerators, and will also be a useful support for practitioners from such entities as start-ups, accelerators, corporations, and government agencies. Full article