Decision Stage Research Articles

Endogenous Attention Affects Decision-related Neural Activity but Not Afferent Visual Responses.

Endogenous shifts of spatial attention toward an upcoming stimulus are associated with improvements in behavioral responses to the stimulus, preparatory retinotopic shifts in alpha power, and changes in ERPs. Although attentional modulation of several early sensory ERPs is well established, there is still debate about under what circumstances attention affects the earliest cortical visual evoked response-the C1 ERP component-which is putatively generated from afferent input into primary visual cortex. Moreover, the effects of spatial attention on the recently discovered ERP signature of evidence accumulation-the central parietal positivity (CPP)-have not been fully characterized. The present study assessed the effect of spatial attention on the C1 and CPP components through a spatially cued contrast discrimination task using stimuli that were specifically designed to produce large-amplitude C1 responses and that varied in sensory evidence strength to characterize the CPP. Participants responded according to which of two checkerboard stimuli had greater contrast following an 80% valid cue toward the upper or lower visual field. Prestimulus alpha power changed topographically based on the cue, suggesting participants shifted attention to prepare for the upcoming stimuli. Despite these attentional shifts in alpha power and the fact that the stimuli reliably elicited C1 responses several times greater than many prior studies, there was no evidence of an attention effect on the C1. The CPP, however, showed a clear increase in build-up rate on valid trials. Our findings suggest that endogenous attention may not affect the early C1 ERP component but may improve behavior at a decision stage, as reflected in brain signals related to evidence accumulation (the CPP).

Communication and information model of the inclusion of digital participation in the evaluation of social processes

The evolution and wide use of modern technologies, tools and methods of communication are an integral part of the modern information society. In particular, current communication and information technologies provide an opportunity to create and extract a digital footprint for an individual or a certain group. In relation to the public authorities’ activities, the digital footprint can be used to analyse the reaction of society to their actions more effectively. By researching the digital footprint of social media actors in a particular region, it is possible to determine how the population treats various decisions and measures taken by the authorities. Due to digital participation, citizens have the opportunity and a tool to facilitate the management process at the stages of decision-making. The digital participation generates a digital footprint, the analysis of which provides feedback on the actions of the authorities. The purpose of the article is to propose a communicative and information model for the inclusion of the digital participation in the evaluation of social processes, consisting of mechanisms and interfaces for obtaining information alongside with mechanisms and interfaces for receiving feedback for evaluating the activities of public authorities in the region. The efficiency of the model has been practically proved by the example of a socially significant event in the Oryol region. Using the example of regional management centres, the expediency of introducing the model for evaluating the activities of public authorities in the region through receiving feedback is shown. This will increase the involvement of citizens in the regulation of social processes in the region and improve the quality of management.

Prefer cheap or expensive products? Shopping stage matters.

E-commerce platforms generally provide consumers with the function of virtual shopping carts to help them store interested products. Although about 80% of online consumers intends to purchase after adding products to their shopping cart, the abandonment rate of cart products has been up to 70%. It is important to understand how to improve consumer attitude toward product both before and after cart use. Building on the relevant literature and the consumer shopping goal stages theory, this study aims to examine the effects of product price, as one of the most indispensable and important information in online shopping, on consumer attitudes toward product at different decision-making stages in online shopping (i.e., add-to-cart stage and place-an-order stage), and the mediating roles of perceived product quality and monetary sacrifice. The findings from behavioral experiment suggest that high price leads to a more positive attitude toward product at add-to-cart stage by strengthened perception of high product quality, while results in a less positive product attitude at place-an-order stage because of the enhanced perception of monetary sacrifice. Both theoretical contributions and practical implications are discussed.

How distributed subcortical integration of reward and threat may inform subsequent approach-avoidance decisions.

Healthy and successful living involves carefully navigating rewarding and threatening situations by balancing approach and avoidance behaviours. Excessive avoidance to evade potential threats often leads to forfeiting potential rewards. However, little is known about how reward and threat information is integrated neurally to inform approach or avoidance decisions. In this preregistered study, participants (Nbehaviour=31, 17F; NMRI=28, 15F) made approach-avoidance decisions under varying reward (monetary gains) and threat (electrical stimulations) prospects during functional MRI scanning. In contrast to theorized parallel subcortical processing of reward and threat information before cortical integration, Bayesian Multivariate Multilevel analyses revealed subcortical reward and threat integration prior to indicating approach-avoidance decisions. This integration occurred in the ventral striatum, thalamus, and bed nucleus of the stria terminalis (BNST). When reward was low, risk-diminishing avoidance decisions dominated, which was linked to more positive tracking of threat magnitude prior to indicating avoidance than approach decisions across these regions. In contrast, the amygdala exhibited dual sensitivity to reward and threat. While anticipating outcomes of risky approach decisions, we observed positive tracking of threat magnitude within the salience network (dorsal anterior cingulate cortex, thalamus, periaqueductal gray, BNST). Conversely, after risk-diminishing avoidance, characterized by reduced reward prospects, we observed more negative tracking of reward magnitude in the ventromedial prefrontal cortex and ventral striatum. These findings shed light on the temporal dynamics of approach-avoidance decision-making. Importantly, they demonstrate the role of subcortical integration of reward and threat information in balancing approach and avoidance, challenging theories positing predominantly separate subcortical processing prior to cortical integration.Significance statement When deciding whether to approach or avoid situations, our decision-making involves balancing potential rewards and threats. Widespread theories of decision-making in humans propose parallel processing of reward and threat information in subcortical regions, followed by cortical integration. Challenging these notions, we found evidence for dual and integrated processing of reward and threat in subcortical regions during decision-making. In contrast, after decision-making, we observed the expected parallel processing while anticipating decision outcomes. These findings advance our understanding of approach-avoidance decision-making processes, opposing traditional views that segregate brain regions as predominantly reward-sensitive or threat-sensitive, thereby paving the way for a more nuanced perspective that takes into account the stage of decision-making.

Agile project management for sustainable residential construction: A study of critical success factors

Sustainability principles should be incorporated into all decision-making stages for residential construction projects to ensure maximum revenue while maintaining essential residential building services. This study identifies and analyzes the critical success factors (CSFs) necessary for implementing agile project management (APM) in residential construction projects. Data were collected from 120 professionals in the Nigerian construction industry through questionnaire surveys to understand the implementation of APM. The CSFs were obtained from previous research and analyzed within the specific context of the Nigerian construction industry through questionnaire surveys. The CSFs were grouped into two main categories using exploratory factor analysis: dynamic project optimization and agile project foundations. The model for the CSFs was developed using partial least squares structural equation modeling. The study found that the dynamic project optimization element had the most significant impact on the model, highlighting its importance as a key CSF in APM implementation. These results support the adoption of APM within Nigeria’s construction industry as stakeholders and professionals seek effective strategies to reduce costs and improve sustainability.

Suicide decision-making: Differences in proximal considerations between individuals who aborted and attempted suicide.

The transition from suicidal thoughts to behaviors often involves considering the consequences of suicide as part of the decision-making process. This study explored the relationship between this consideration process and the decision to either abort or carry out a suicide attempt. Among inpatients with a suicide-related event in the past 2 weeks (suicide attempt n = 30 or aborted attempt n = 16), we assessed the degree to which they considered six domains of consequences, the impact of these considerations on their inclination to attempt suicide, and the duration of their decision-making. All the participants who aborted and 87% of those who attempted considered consequences of suicide. Participants who aborted took longer to progress through decision-making stages and considered more suicide-hindering factors, especially interpersonal ones, though these differences were no longer significant after correction. Group status moderated the relationship between the balance of suicide-facilitating and suicide-hindering considerations and decision-making duration. Considering the consequences of suicide more favorably was related to a shorter ideation-to-action period before a suicide attempt and a longer ideation period before aborting an attempt. This study highlights the complexity of suicide decision-making and its role in better understanding the progression from ideation to action.

The role of the family’s ethnicity and correlates in social workers’ risk perceptions: Evidence from a vignette study in Hungary

Studies have shown that children from some ethnic minority families are disproportionately represented in the child protection system. Ethnic-based treatment is problematic because it challenges whether child protection decision-making is based on the principle of’the best interests of the child’. Roma children are also overrepresented in the child protection systems of many European countries, but little research has explored why this is so. The present study seeks to address this gap by examining child welfare workers’ perceptions of risk at the early stages of child protection decision-making. The main research question is whether they perceive higher levels of risk if the parents are Roma. Method: We use data from a vignette-based survey conducted among child welfare workers (N = 600) in Hungary in 2018. The factors influencing social workers’ risk perceptions are analysed using multilevel ordinal logistic regressions. The regression models of risk perception include case variables (harm to child, parents’ ethnicity, mother’s education, parents’ employment, housing conditions, living environment, parental alcoholism, mother’s willingness to cooperate), and the individual characteristics of the social worker. Ethnicity is examined individually as well as in interaction with other case characteristics. Results: Findings show that physical harm to the child, parental alcoholism, a messy living environment, and the non-cooperative behaviour of the mother increase the level of risk perceived by child welfare workers. There is no evidence of a statistical association between parental socioeconomic status and the social worker’s perception of risk. Family ethnicity also does not have a statistically significant impact on risk perception (main effect). However, some case characteristics affect risk perception differently when the family is of Roma origin (interaction effects). Physical abuse has a strong effect on the social worker’s perception of risk, but this effect is more modest when the family is of Roma origin. Likewise, the mother’s non-cooperative behaviour is a risk-increasing factor, but this effect disappears for Roma families. Conclusions: Although, no ethnic bias was found in social workers’ perception of risk, our findings indicate that the perception of risk for Roma families is less dependent on the circumstances of the case than for majority families. In some cases, this may lead to an unjustified overestimation of risk or, conversely, an underestimation when the family is Roma.

How water circularity can help to reduce and regulate water waste in urban districts

Abstract Global water consumption has increased sixfold in the past 100 years and is growing at about 1% per year due to population growth, economic development, and changing consumption patterns; therefore, climate change, combined with urbanization and population growth, is causing water availability problems in cities around the world. Rethinking circular cities that put water at the centre of their priorities and that manage it cyclically and keep it within the urban environment as much as possible to maximize its value must become the fundamental goal. However, to date, cities are not even close to maximizing the use of water that reaches their buildings. As a result, two main issues have emerged as crucial in the international debate: the scarcity of water resources due to its wastefulness and overuse, and extreme weather events, such as heavy rains alternating with periods of prolonged drought, a consequence of global warming. In response to these issues, this research aims to investigate the potential of a design approach that takes into account the two phenomena of water excess and shortage, integrating water from the earliest decision-making stages of building design. Starting from the definition of architectural strategies, replicable solutions are defined and evaluated against specific KPIs to develop a resilient and climate-neutral architectural and urban design model.

How survey scoring decisions can influence your study's results: A trip through the IRT looking glass.

Though much effort is often put into designing psychological studies, the measurement model and scoring approach employed are often an afterthought, especially when short survey scales are used (Flake & Fried, 2020). One possible reason that measurement gets downplayed is that there is generally little understanding of how calibration/scoring approaches could impact common estimands of interest, including treatment effect estimates, beyond random noise due to measurement error. Another possible reason is that the process of scoring is complicated, involving selecting a suitable measurement model, calibrating its parameters, then deciding how to generate a score, all steps that occur before the score is even used to examine the desired psychological phenomenon. In this study, we provide three motivating examples where surveys are used to understand individuals' underlying social emotional and/or personality constructs to demonstrate the potential consequences of measurement/scoring decisions. These examples also mean we can walk through the different measurement decision stages and, hopefully, begin to demystify them. As we show in our analyses, the decisions researchers make about how to calibrate and score the survey used has consequences that are often overlooked, with likely implications both for conclusions drawn from individual psychological studies and replications of studies. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Disparate impact of risk assessment instruments: A systematic review.

One concern about the use of risk assessment instruments in legal decisions is the potential for disparate impact by race or ethnicity. This means that one racial or ethnic group will experience harsher legal outcomes than another because of higher or biased risk estimates. We conducted a systematic review of the literature to synthesize research examining the real-world impact of juvenile and adult risk instruments on racial/ethnic disparities in legal decision making. Given the nature of research synthesis, we did not test formal hypotheses. Our systematic literature search as of July 2023 identified 21 articles that investigated the disparate impact of 13 risk assessment instruments on various legal outcomes. Most of these instruments were actuarial pretrial screening instruments. Our narrative synthesis indicated that there is not strong evidence of risk instruments contributing to greater system disparity. Ten articles indicated that adopting risk instruments did not create (or exacerbate preexisting) disparities, and eight articles found that instrument use reduced disparities in legal decision making. Three articles reported evidence of disparate impact of risk instruments; only one of these studies received a strong study quality assessment score. We observed a scarcity of high-quality articles that employed what we deem to be the gold standard approach for examining the disparate impact of risk instruments (i.e., pretest-posttest design). The evidence signals that risk instruments can contribute to reductions in disparities across multiple stages of legal decision making. Yet study quality remains low, and most research has been conducted on decisions during the pretrial stage. More rigorous research on disparate impact across diverse legal decision points and approaches to risk assessment is needed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Two-stage stochastic multi-criteria group decision making for wind-photovoltaic-hydropower scheduling

Scheduling of wind-photovoltaic-hydropower systems is a complex multi-objective collaborative problem which requires multi-criteria decision making (MCDM) to assist in formulating the most-preferred scheduling scheme. There are uncertainties existing in criteria weights (CWs) due to the limitations of the knowledge level of decision makers and the subjectivity of preferences. This paper proposes a two-stage stochastic multi-criteria group decision making model considering the uncertainties in the decision making environment and the progression of the decision making process. For the prophase decision making (the first stage), the stochastic multi-criteria acceptability analysis (SMAA) theory and the MCDM model VIKOR are combined to construct a SMAA-VIKOR model for inverse weight space analysis on the situation that the initial CW information is completely unknown. In the second stage of decision making, the decision makers are allowed to express their fuzzy preferences based on the information provided in the first stage by coupling the intuitionistic fuzzy analytic hierarchy process (IFAHP) into the SMAA-VIKOR model to obtain the final scheme. The wind-photovoltaic-hydropower system in Yalong River Basin is selected as the case study. Results show that among the 12 alternative schemes, scheme A2 is ranked first with the probability of 0.69 in the first stage while the probability of taking the first ranking in the second stage is increased to 1. More explicit ranking results are obtained based on the results of the first stage, which effectively enhances the confidence of decision makers and improves decision making efficiency.

Neural mechanisms of cooperation and fairness in iterative prisoner’s dilemma

Cooperation is a universal human principle reflecting working with others to achieve common goals. The rational decision-making model contends that cooperation is the best strategy for maximizing benefits in an iterative prisoner’s dilemma. However, the motivations for cooperation (or betrayal) are complex and diverse, and often include fairness reflections. In this study, we used functional magnetic resonance imaging to study underlying neural differences in brain regions related to fairness when people interact with an opponent who tend to cooperate or betray, at different decision-making stages. Results based on 40 university students (25 women) indicate that experiences of cooperation or betrayal affect people’s fairness perception. Distinct neural activities occur in expectation, decision, and outcome phases of decisions. In the expectation phase, those in the cooperative condition exhibited increased activation in the anterior cingulate gyrus, medial superior frontal gyrus, and caudate nucleus compared to those in the uncooperative condition. During the decision phase, those in the cooperative condition showed greater activation in the middle frontal gyrus, caudate nucleus/frontal insula, inferior frontal gyrus, and cingulate gyrus compared to those in the uncooperative condition. In the outcome feedback phase, the caudate nucleus, insula, cingulate gyrus, and inferior frontal gyrus of the orbit were more active in the uncooperative condition than in the cooperative condition. Results also showed a significant correlation between caudate activity and the perception of fairness when expecting uncooperative conditions.

Социальный выбор личности в повседневности

The article examines the peculiarities of a person’s social choice in an everyday situation. Against the back-ground of global transformations, daily life is the most sustainable social education. However, information technologies in various spheres of society have also affected the daily existence of a person, which has led to an interest in an area that previously acted as a background for more significant processes. The study of the phenomenon of social choice in everyday life is interdisciplinary in nature due to its multidimensional and mul-tilevel nature. Analyzing everyday life allows for the identification of the principles governing decision-making processes. The article highlights both the negative and positive consequences of these choices in the context of human activity: anonymity, avoidance of responsibility, and stereotyping. Furthermore, it examines the influ-ence of everyday life as an essential attribute of social existence on the stages of individual decision-making.

Improving Pedestrian Safety with Head-Up Display Warning in a Connected Environment

In this paper, the potential of using a head-up display (HUD) in the connected environment to improve a vehicle’s running comfort and pedestrian safety is tested, by providing warning information to drivers in advance. To achieve this objective, driving simulation technology is used to construct the connected environment and develop the HUD, and the effectiveness of the system is then tested. Specifically, thirty-four participants were recruited to conduct driving simulation experiments in six scenarios: three warning display types (Baseline/Head-down display/Head-up display) combined with two weather conditions (clear weather/foggy weather). The effects of the three different warning display types on braking risk-avoidance strategy were studied by comparing the drivers’ performance during the perception and decision stage (position of accelerator-pedal release, position of first braking), the risk-avoidance manipulation stage (maximum deceleration, braking distance) and the risk-avoidance result stage (minimum collision distance, position of minimum speed). The influences of weather conditions and driver attributes were also considered. When the HUD warnings were activated, drivers started to decelerate further away from pedestrians, with a more stable and moderate deceleration process and a greater safety margin between the vehicle and the pedestrians. Using HUD warnings in foggy conditions improved drivers’ perception and decision abilities, this study confirmed the great benefits that HUD warnings in the connected environment can bring to traffic safety, especially under risky situations and inclement weathers. The research results provide a reference for the more humanized and rationalized optimization design of these warning systems.

Research on Assessment Method for Cognitive Influence Factors of Nuclear Power Plant Operators Based on Fuzzy Analytic Hierarchy Process and Deep Learning of Electroencephalogram Signals

This study explores the factors influencing the cognitive processes of operators in digital nuclear power plants, with a focus on the correlation between these factors and electroencephalogram (EEG) features. Initially, based on expert consultations, seven factors were considered: stress, time, fatigue, procedural complexity, user interface experience, procedural clarity, and efficiency. From these, four were identified as the most crucial for each stage of the cognitive process, highlighting their significant roles in influencing cognitive performance and potentially correlating with distinct EEG characteristics. These were assessed using the fuzzy analytic hierarchy process (FAHP) to determine the weightings of influences across the cognitive stages of monitoring, decision making, and execution. Employing a simulated scenario of a steam generator tube rupture, subjective questionnaires were utilized to gauge participant perceptions of influencer impacts at each stage, calculating human factors fuzzy synthetic values. Concurrently, EEG signals were segmented by operational steps, extracting around 114 features across the time, frequency, and time-frequency domains, which were then dimensionally reduced to 17 principal components via adaptive principal components analysis (APCA). A correlation analysis was performed between the human factors fuzzy synthetic values and the APCA-reduced EEG features of participants. Subsequently, the EEG feature columns of the eight selected participants were used as inputs to construct a transformer-based self-attention network model to evaluate the participants’ human factors fuzzy comprehensive values. The findings confirm the transformer model’s efficacy in assessing these values, evidencing a significant correlation between the EEG features and human factors fuzzy synthetic values. Integrating FAHP with machine learning methodologies, this model proficiently estimated operators’ cognitive states during various cognitive processes, significantly enhancing human-machine interface design and the operational safety and efficiency at nuclear power plants.

Clinicopathological Factors Predicting Pathological Complete Response to Neoadjuvant Anti-HER2 Therapy in HER2-Positive Breast Cancer

Plain Language SummaryNeoadjuvant treatment is the standard approach for human epidermal growth factor receptor 2 (HER2)-positive breast cancer. Especially, pathologic response is an important prognostic factor and the adjuvant treatment is dependent on the response. Therefore, predicting the response is important for modulating the treatment sequence, especially in the initial stage of treatment decision. Therefore, we aimed to identify factors that can predict the effectiveness of neoadjuvant chemotherapy, and our results suggest that factors such as tumor size, grade, hormone receptor, and HER2 status should be considered in the treatment of breast cancer.

Network Analysis of Two-Stage Customer Decisions with Preference-Guided Market Segmentation

Abstract Network-based analyses have shown their effectiveness in understanding customer preferences through interactions and relationships between customers and products, particularly for tailored product design. There is limited research on applying this analysis to diverse customers with varied preferences. This paper introduces a market-segmented network modeling approach, guided by customer preference, to explore heterogeneity in customers' two-stage decision-making process: consideration-then-choice. In heterogeneous markets, like household appliances, even customers with similar characteristics or purchasing similar products can exhibit different decision-making processes. Therefore, In this method, we segment customers into groups based on preferences rather than just characteristics, allowing for more accurate choice modeling. Using Joint Correspondence Analysis, we identify associations between customer attributes and preferred products, characterizing market segments through clustering. We then build individual bipartite customer-product networks and apply the Exponential Random Graph Model to compare the product features influencing customer considerations and choices in various market segments. Using a US household vacuum cleaner survey, our method detected different customer preferences for the same product attribute at different decision-making stages. The market-segmentation model outperforms the non-segmented benchmark in prediction, highlighting its accuracy in predicting varied customer behaviors. This study underscores the vital role of preference-guided segmentation in product design, illustrating how a deeper understanding of customer preferences at different decision stages can inform and refine design strategies, ensuring products are more closely aligned with the dynamic needs and tastes of diverse markets.

Collaborative rescheduling of train timetables to relieve passenger congestions in an urban rail transit network: A rolling horizon approach

At some urban rail transit (URT) stations, large activities, emergencies, or holidays usually lead to a significant surge in passenger flow demand quickly, known as Large Passenger Flow (LPF) events. The passenger congestion will spread quickly via transfer stations and affect other stations and lines in the URT network. This study develops a timetable rescheduling and coordinating method for the URT network under LPF events. Firstly, a collaborative adjustment model of train timetables with an implement backup vehicle strategy is formulated to simultaneously consider rescheduling and coordinating problems, to reduce the congestion influence for an URT network. Then, a rolling horizon approach is developed to divide the whole adjustment problem into several decision-making stages to ensure solution efficiency. In each decision-making stage, the influence of LPF propagation within the URT network is firstly evaluated. Based on the congestion evaluation results, the proposed method determines whether it’s necessary to adjust timetables of the LPF Line or other lines. The proposed method is applied to the Xi’an Metro network in China. The results indicate that the proposed method can effectively evaluate and adjust the train timetables for large URT networks under the LPF events.

A study of Islamic banking and finance for interest-free investors: A bibliometric analysis

Islamic banking is one of the fastest-growing sectors of the financial industry. Several works have been written in this field, but none attempt to learn the entire Islamic banking and financial system. Furthermore, the study could not locate any publications investigating the conceptual and intellectual foundations of this emerging field of inquiry. The current study uses bibliometric methodologies to assess the current state of Islamic banking, financial research, and the upcoming trends. For the people who choose interest-free investments, the current research examines a conceptual research context on Islamic banking and finance at various planning and decision-making stages. One thousand research studies appearing in scholarly journals between 2005 and 2023 were reviewed for the purpose. In order to examine the works on Islamic banking and finance, bibliometric techniques were used, including analysis of citation network, content, co-citation, keyword, and publishing trends. By suggesting thirteen clusters, to enhance research on Islamic banking and finance to help interest-free investors learn more, the goal of the research is to promote the body of knowledge. The field of Islamic banking and finance has grown from a young lot to a prominent teaching and research tool. Investigating and identifying current research trends in this area is crucial. As institutions and society are placing more emphasis on Islamic banking to raise individual citizens’ responsibilities in developing interest-free investing strategies, the findings are crucial to the community of interest-free financiers. Further research urges with the studies not restricted to a thousand researches only.

Kontribusi Televisi Lokal TVku Semarang Dalam Membentuk Kompetensi Profesional Mahasiswa Melalui Program Magang Inkubator Kerja

Based on Kemenristekdikti Press Release Number: 3 / SP / HM / BKKP / I / 2019 with “Research, Technology and Open Higher Education, Flexible and Excellent” themes, there are points that nowdays we need to prepare graduates who have competencies and work ability and employability by giving certification, increasing student achievement, and giving professional experience. TVKU as a local television in Semarang has an internship program called Incubator. This research aims to determine the extent of the relevance aspects of Incubator program towards formation of competencies and professional experience for students of Dian Nuswantoro University Semarang before they graduate from college and go into the real world of work. The method used in this research is descriptive. The data in this research were obtained by field studies through interviews, observation and documentation. The process of data analysis uses descriptive-qualitative analysis methods with the stages of data collection, data reduction, data presentation, decision making or verification. The results of this study, there is a relationship or relevance between TVKU Incubator programs with the formation of competencies and professional experience of students, proven by the existence of alumni who succeeded to work after joining the Incubator program.