Future Expectations Research Articles

The influence of music performance anxiety on career expectations of early musical career students: self-efficacy as a moderator.

Music performance anxiety (MPA) is recognized as a distinct emotional behavior rather than merely a motor control disorder and is influenced by specific conditioning experiences. This study investigates the interrelationships between MPA, self-efficacy, and future career expectations among music students within the Chinese context. The participants of this study were 340 high school students majoring in music education and performance, drawn from three music schools in China. Data were collected using several questionnaires: the MPA Inventory for Adolescents (MPAI-A), the Self-Efficacy Formative Questionnaire, and the Career Futures Inventory (CFI). The findings indicate that MPA is negatively associated with self-efficacy and future career expectations. Additionally, self-efficacy acts as a partial moderator between MPA and career expectations, suggesting that enhancing the self-efficacy of music students can boost their future career aspirations and mitigate the adverse effects of MPA. This research explores the complex relationships among MPA, self-efficacy, and future career expectations, emphasizing the importance of curriculum and pedagogical strategies in music schools. Music students with high levels of self-efficacy may exhibit more confidence and stable performances before audiences. According to the panel regression analysis, self-efficacy significantly positively influences career expectations. An appropriate educational environment and supportive pedagogical approaches to MPA can foster the early career development of musicians.

Geography, creative workforce and access to venture capital

PurposeThe purpose of this study is to investigate how proximity to metropolitan areas and local creative talent impact a company’s access to venture capital (VC). We analyze the interplay between these factors and test our hypotheses using USA county data.Design/methodology/approachThis empirical study uses multivariate regression analyses to analyze VC investment distribution across the USA at the county level between the years 1990–2011.FindingsOur findings suggest that an increase in the local creative workforce correlates with higher levels of VC funding, regardless of metro location, but has a more significant impact in metro areas, indicating the complementary nature of these factors. Furthermore, the tech industry benefits more from the local creative workforce and is less sensitive to geographic location. Our results suggest that non-metro locations with a rich local creative culture can be as effective in attracting VC as metro locations with a mediocre local creative culture. This study contributes to our understanding of the optimal geographic location for companies seeking VC.Research limitations/implicationsOne of the limitations of our research is the research timeline. Since “creative class” was not measured by the U.S. Department of Agriculture (USDA) after 2011, we cannot analyze the recent effects of creative class on VC. However, given the fact that technology-related industries increasingly dominated the VC industry in recent years, our results on tech-related industries can shed light on the future expectations of the creative class in the VC industry moving forward.Practical implicationsSome companies might find it advantageous to locate outside metro areas where the creative workforce is more abundant and accessible. Our results support this trend by demonstrating that companies must consider the tradeoff between these two factors and recognize that locating in metro areas may not always be the optimal choice for every company. A tradeoff may exist between location and the cost of accessing creative talent.Social implicationsOur results suggest that non-metro locations with a rich local creative culture can be as effective in attracting VC as metro locations with a mediocre local creative culture.Originality/valueThe existing literature emphasizes the importance of studying various factors that can help distribute VC and entrepreneurial activities across the country instead of just being concentrated in specific areas like metro regions. Although previous studies have examined broader institutional and country-level factors, local creative culture has not been considered in the context of its impact on the geographical distribution of VC. Our research highlights creative culture as a new local factor that affects VC distribution among USA counties.

Redefining Future Expectations: How to unlock differentiation in the era of generative AI

We are on the cusp of a customer-service revolution, driven by generative AI. The technology, with its ability to derive deep insights and generate new content based on vast stores of structured and unstructured data, opens the opportunity to craft richer, more satisfying experiences. This, of course, is a significant opportunity for organisations looking to deepen their relationships with internal employees and end customers. But it also poses a genuine challenge for service designers: As gen AIraises expectations for targeted, relevant and useful interactions, designers will increasingly be charged not just with meeting those expectations, but constantly exceeding them.

"I Was Almost in Disbelief" - Qualitative Analysis of Experiences and Expectations Among Psoriasis Patients Undergoing Biologic Treatment with Secukinumab.

Psoriasis is a highly debilitating chronic inflammatory disease. Increased understanding of its pathophysiology has enabled development of targeted treatments such as biologics. Several medical treatments have been shown to be influenced by patients' experiences and expectations. However, only little is known about patients' experiences with and expectations towards biologics. Our objectives were to identify patients' treatment experiences and treatment expectations and assess their trajectories over the course of treatment with the IL-17A inhibitor secukinumab. Moreover, we aimed to document effects of psoriasis, factors that influence symptomatology, and prior treatment experiences. We conducted semi-structured interviews with n = 24 patients with moderate-to-severe plaque psoriasis and employed a qualitative content analysis to derive thematic and evaluative codes. Findings were validated via peer debriefings with experienced dermatologists. Patients reported burdensome physical and psychological psoriasis symptoms and identified factors that can improve or worsen symptomatology, including stress and self-efficacy. Prior treatment experiences were mostly negative. Past barriers to effective treatment included time constraints or limited access. Concerning secukinumab, patients initially expected complete to partial remission of symptoms and occurrence or absence of side effects. Closer inspection of expectations and experiences revealed three trajectories. For most patients, initial expectations were met and future expectations remained unchanged. For the other patients, however, the experience did not match their initial expectation. One group then adapted their future expectations according to their experience, while the other group did not. To our knowledge, this is the first qualitative study to assess expectations towards treatment effectiveness and side effects, their trajectories, and interplay with experiences among psoriasis patients. Our findings highlight the value of further research on the subject in order to optimize care for psoriasis patients and to learn more about the trajectories and influence of treatment expectations in general.

Lived Experiences of Patients After Colorectal Cancer and Permanent Colostomy: A Parallel-Design Mixed-Methods Study.

To identify the lived experiences, quality of life (QoL), and level of ostomy adjustment (OA) in patients after colorectal cancer with a permanent colostomy (PC). In this parallel-design mixed-methods study, the researchers interviewed 14 patients after colorectal cancer whose PC was created more than 1 year prior. Qualitative data were interpreted using hermeneutic interpretive phenomenological design. Quantitative data were collected with the Stoma QoL Scale and OA Inventory-23. The mean age of the participants was 61.5 (SD, 10.0) years, and the mean PC duration was 7.7 (SD, 5.0) years. Mean QoL and OA scores were just above the median. Three superordinate themes consisting of nine themes emerged from the analysis: (1) early experiences (acceptance, medical problems, and emotional changes); (2) long-term experiences (physiologic experiences, psychosocial experiences, economic experiences, and coping strategies); (3) feelings and expectations about the future (worries and expectations). Even individuals who have been living with a PC for a long time may not be fully adapted to the process and may not have internalized lifestyle changes. Nurses should provide support to individuals with a PC through routine follow-ups, social support, and facilitative healthcare strategies regardless of the length of time since PC creation.

Future expectations of the average family size in Anbar ‎Governorate

Future expectations of the average family size in Anbar ‎Governorate

Optimal seasonal schedule for the production of isoprene, a highly volatile biogenic VOC

The leaves of many trees emit volatile organic compounds (abbreviated as BVOCs), which protect them from various damages, such as herbivory, pathogens, and heat stress. For example, isoprene is highly volatile and is known to enhance the resistance to heat stress. In this study, we analyze the optimal seasonal schedule for producing isoprene in leaves to mitigate damage. We assume that photosynthetic rate, heat stress, and the stress-suppressing effect of isoprene may vary throughout the season. We seek the seasonal schedule of isoprene production that maximizes the total net photosynthesis using Pontryagin’s maximum principle. The isoprene production rate is determined by the changing balance between the cost and benefit of enhanced leaf protection over time. If heat stress peaks in midsummer, isoprene production can reach its highest levels during the summer. However, if a large portion of leaves is lost due to heat stress in a short period, the optimal schedule involves peaking isoprene production after the peak of heat stress. Both high photosynthetic rate and high isoprene volatility in midsummer make the peak of isoprene production in spring. These results can be clearly understood by distinguishing immediate impacts and the impacts of future expectations.

‘If I Knew How to Speak English…’: How language shapes refugee mothers’ perceptions of past, present, and future in Canada

Abstract What role does language learning play in refugees’ memory-construction on the one hand, and imagining of the future self on the other? Using a temporal perspective on migration, I extend scholarship examining the role of language in the space-time continuum of resettlement. With three waves of semi-structured interviews with twenty Syrian refugee mothers (N = 60) who have recently arrived in Canada, this article examines how their experiences with time and future projections are influenced by their experiences of language learning in the host country. First, mothers’ lack of English proficiency and struggle to learn leads to a sense of nostalgia towards the past, where their proficiency in Arabic is associated with past feelings of comfort, security, and mastery. In addition, mothers find themselves ‘stuck’ in the present, where multiple structural barriers (e.g., absence of extended kin; limited government support) and individual challenges (e.g., health issues; having children with disability) significantly slow down their language acquisition process and prevent them from achieving other goals. This leads to a clear conflict between government expectations for the long-term future and the mothers’ immediate priorities. Finally, despite those government temporal expectations building on newcomers’ language acquisition, mothers do not want to envision the future due to past experiences of uncertainty, belief in divine control, and a foreclosure of the future. This article demonstrates the ways in which language, space, and time co-construct notions of the future, and a sense of potential ‘stuckness,’ well beyond the temporal limits of intensive state intervention in refugee lives.

Racism and food delivery platforms: shaping migrants’ work experiences and future expectations in the United Kingdom and Chile

Racism and food delivery platforms: shaping migrants’ work experiences and future expectations in the United Kingdom and Chile

Certainty of uncertainty for asset pricing

Uncertainty is known to be crucial in asset pricing, yet evidence from a comprehensive analysis of various uncertainty measures remains sparse. By machine learning, we construct a novel economic uncertainty index derived from a heterogeneous range of uncertainty measures and investigate its predictability of stock returns. Our composite uncertainty index exhibits robust in- and out-of-sample predictability of stock market returns over the one- to 12-month horizon. The predictive power stems from the volatility-orthogonal components of individual uncertainty measures and becomes more pronounced during high uncertainty and high sentiment periods. The predictability of our economic uncertainty index aligns with theoretical frameworks linking uncertainty to future investment, cash flows, and market expectations.

Effects of Future Subjective Expectations on Cognitive Decline and Dementia among Middle-Aged and Older Adults.

This study investigated the impact of subjective expectations of the future (e.g., income, life expectancy, and national policies) on the onset of dementia and mild cognitive impairment by sex and age in middle-aged and older adults. The Korean Longitudinal Study of Aging (KLoSA) data from 2008 to 2020, comprising 4116 people above 45 years, were used. A time-series analysis and multiple panel logistic regression were conducted to highlight subjective expectation trends and their effect on dementia and mild cognitive impairment, respectively. Low subjective expectations of the future negatively affected cognitive impairment (total: odds ratio [OR] = 1.02, 95% confidence interval [CI] = 1.01-1.03) and dementia (total: OR = 1.05, 95% CI = 1.03-1.06), and those of national policies were the biggest risk factors for cognitive impairment (total: OR = 1.17, 95% CI = 1.12-1.22) and dementia (total: OR = 1.10, 95% CI = 1.07-1.13). Individuals about to retire and with low expectations of workability were more likely to develop cognitive impairment (total: OR = 1.03, 95% CI = 1.02-1.06). Subjective expectations of economic downturn also caused cognitive impairment, especially in women (OR = 1.04, 95% CI = 1.01-1.07) and early stage older adults (OR = 1.06, 95% CI = 1.02-1.10). Policymakers must consider the impact of changes in national policies and living environments on cognitive impairment and dementia in older adults.

The role of information sources as a driver of innovation

AbstractAn extensive empirical literature shows the important role that information sources have on firm innovation. However, there is scarce evidence on the different typologies of between technological and non‐technological innovations and their expectations. We investigate how the wide number of information sources affect the propensity to innovate and its future expectations. At the methodological level, we apply a multivariate Probit to the Innovation Survey of Chilean companies (2013–2016). Our results show that internal information sources, suppliers, clients and the Internet are significantly associated with the development of technological and non‐technological innovations. Social innovations are affected only by internal and by market (primarily from consultancy firms) sources of information. Finally, internal information sources and the Internet affect firms' expectations to innovate. Our results indicate the importance of different information flows and how they may drive the generation of innovations.

Alcohol effects on interoception shape expectancies and subjective effects: a registered report using the heart rate discrimination task.

Alcohol acutely impacts interoceptive processes, which in turn affect the perception of alcohol effects and the development of alcohol expectancies. However, previous research is limited by the tools used to measure cardiac interoception and subjective alcohol effects. This registered report proposes a re-examination of previous findings using a state-of-the-art measure of interoceptive capacity, the heart rate discrimination task, and measurements of subjective alcohol effects across both ascending and descending limbs. In a double-blind, placebo-controlled experiment, n = 36 participants were given 0.4g/kg of ethanol, and a baseline measure of alcohol expectancies was obtained. Changes in interoceptive capacity after beverage administration, along with measures of light-headedness, mood, and biphasic alcohol effects, were assessed over two sessions. As registered in this secondary data analysis, alcohol was expected to acutely impact different indices of interoceptive capacity, and those changes were hypothesized to correlate with subjective alcohol effects and expectancies. Analyses were conducted only following in-principle acceptance. Alcohol-induced changes in interoceptive capacity predicted the development of light-headedness, stimulation, and negative mood. Changes in interoceptive capacity were also correlated with negative alcohol expectancies, as measured 2 weeks prior to the experiment. These effects were unique to the interoceptive condition, as null effects were observed in an exteroceptive control task. This report offers a replication of key previous findings that alcohol impacts interoceptive processes to shape the detection of subjective alcohol effects. We propose that, through repeated drinking occasions, bodily responses feed into the experience of intoxication, shaping future expectancies about alcohol effects.

Dynamic Prediction Model of Financial Asset Volatility Based on Bidirectional Recurrent Neural Networks

Predicting financial market volatility is essential for investors and risk management. This study proposes a dynamic prediction model for financial asset volatility, with a Bi-directional Recurrent Neural Network (Bi-RNN) utilized to cleverly address market complexity. Our framework integrates Bi-RNN and gated recurrent units (GRU) to perform global optimization via particle swarm optimization algorithm (PSO). Bi-RNN combines historical data and future expectations, while GRU effectively solves long-term dependency issues through a gating mechanism, which enhances model generalization. Experimental results show that the model exhibits significant performance advantages on different financial datasets, along with strong learning and generalization capabilities superior to traditional methods. This research provides advanced and practical solutions for financial asset fluctuation prediction and is of positive significance for the greater accuracy of investment decisions and risk mitigation.

Being tolerated as a minority group member: an experimental study with virtual teams

ABSTRACT Research on the experience of being tolerated has focused on single events, ignoring the important question of whether the experience of being tolerated depends on previous experiences. We examined whether the experience of being tolerated has a negative impact on minority team members depending on whether they had previously been rejected or fully accepted. In a pre-registered study with 440 participants, we used a recently developed experimental paradigm to simulate workstyle minority status in virtual teams. These participants were randomly assigned to experience rejection or acceptance followed by being tolerated. Experiencing tolerance after rejection was strongly positive, reducing negative well-being, increasing positive future expectations about interactions with majority team members, and reducing people’s intention to withdraw from their teams. By contrast, experiencing tolerance after acceptance was weakly but consistently negative, with increased negative well-being, increased negative future expectations, and increased withdrawal intentions. Lastly, despite tolerance being more harmful than acceptance, that harmfulness did not translate into greater willingness to raise one’s voice and express discontent about not being valued.

Preview of CO2 utilization in converting to methanol process

Carbon dioxide, a greenhouse gas, has contributed to environmental issues on the planet in the past few years. Thus, it would be helpful to mitigate the impact that caused by carbon footprint, which is trying to reduce the carbon dioxide emission to the atmosphere and utilize it to generate green products for usage. It has been reported that CO_2 reduction could be converted to a valuable fuel source and thus it could be a potential solution to mitigate the impact of CO_2. In this paper, it illustrates three underlying approaches which are conventional heterogeneous catalysis, photocatalysis and electrochemical, and flaws existed inCO_2 converted to CH_3 OH production. Approach mechanism, principles and barriers are included in the following with detailed product selectivity/yield comparison between different catalysts under various conditions. Studies on different approaches have made substantial information focusing on various aspects and recommending the appropriate catalyst for the technique under the specific scenario. Finally, the overview of the research aims to provide feedback on progress made in CH_3 OH production from CO_2 in a large scale along with a summary regarding the future expectations on the research of the methanol conversion approaches developed.

A comprehensive framework for electric vehicle charging station siting along highways using weighted sum method

The proliferation of electric vehicles (EVs) has led to an increased demand for strategically located EV charging stations (EVCSs) to ensure a balanced and accessible charging network. The siting of EVCS involves a multifaceted process that includes technological, economic, social, geographical, and environmental factors. An EVCS network should deliver high-quality service, alleviate drivers' range anxiety, and be compatible with renewable energy system integration, while also accounting for technical infrastructure and future expansion expectations. Resting areas along highways, equipped with amenities and grid connections, emerge as potential sites for EVCS installation. Accordingly, this study presents an EVCS siting framework along highways, integrating expert opinions from diverse disciplines. The proposed method employs expert opinions to weigh site selection criteria and then uses a clustering-based approach to identify suitable locations for EVCS siting, utilizing the weighted sum method. According to the experts, the most important criterion is determined as the service level of the candidate point with a weight of 0.375, followed by traffic density (0.218), and proximity to connection roads (0.215). The method is tested both on a test highway and the Edirne-Ankara highway, which is the most heavily used in Türkiye. The results demonstrate that the test highway identifies 13 out of 18 optimal locations using the clustering strategy. Similarly, the siting method identifies 18 out of 31 optimal EVCS locations along the Edirne-Ankara highway ensuring the distance constraints. This approach is scalable and adaptable for application on highways in various countries where EVCS infrastructure is still developing.

Change-making in Environmental Impact Assessment (EIA): piloting changeology approach using England as a case study

ABSTRACT Piecemeal changes to the Environmental Impact Assessment (EIA) process have to date not fully delivered EIA’s normative goals and met today’s environmental challenges. By regarding the to date approaches to change-making as a problem requiring a solution, this paper applies critical analysis to reflect upon current change-making based on England’s EIA system as a case study. The analysis identifies a lack of innovative ideas and sound evidence-based approaches to inform and support the change-making process. Consequently, we argue for an epistemology of change-making (changeology) so that the entire approach can be based on an empirically informed framework, to inform the journey (process) and destination (fit-for-purpose EIA) and make the EIA process fit-for-purpose and aligned to future expectations. Changeology should be viewed as more than informing one-time change-making but as a framework of well-studied practice for changing (or improving) EIA in the long term.

The implicit power of positive thinking: The effect of positive episodic simulation on implicit future expectancies.

Previous research demonstrating that positive episodic simulation enhances future expectancies has relied on explicit expectancy measures. The current study investigated the effects of episodic simulation on implicit expectancies. Using the Future Thinking Implicit Relational Assessment Procedure (FT-IRAP), participants made true/false decisions to indicate whether or not they expected positive/negative outcomes after adopting orientations consistent or inconsistent with an optimistic disposition. The outcome measure, DIRAP, was based on response time differences between consistent and inconsistent blocks. Participants then engaged in either positive simulation training, in which they imagined positive future events, or a neutral visualisation task before repeating the FT-IRAP twice following 10-minute intervals. Positive simulation training increased DIRAP scores for don't-expect-negative trials-boosting participants' readiness to affirm that negative events were unlikely to happen to them. Although findings did not generalise across all trial types, they show potential for positive simulation training to enhance implicit future expectancies.

Personal elearning management in the context of COVID-19 among university students in Saudi Arabia.

The study aimed to study the performance expectation in future tasks based on personal learning management during the Corona epidemic. A random sample of 871 students from the University of Hail was selected. The study samples were from humanities, engineering, and medical colleges. The study was based on a cross-sectional study design. The study prepared a measure of future expectation of performance on the tasks. The scale is 28 items. Factor analysis was used to verify the validity of the scale, and the scale achieved acceptable indicators of good fit. The scale achieved acceptable stability using Cronbach's alpha coefficient for emotional factor 0.57, cognitive factor 0.94, and behavioral factor 0.90. The results revealed that there are differences in the future expectation on performance because of gender and type of college. The results revealed that there are positive correlations between future expectation of cognitive and emotional performance, as well as a positive relationship between emotional and behavioral performance. There was also a negative relationship between behavioral and cognitive performance.