Relative Strength Research Articles

Homework quality and student achievement: the mediating role of motivation and emotions

ABSTRACT This study examined the direction and strength of relationships between homework quality (homework quality, feedback quality, autonomy support), homework motivation (expectancy and value), negative homework emotions, homework behaviour (homework time, homework completion) and academic achievement. Research data were collected from 628 secondary school students. The study tested two theoretical models. According to the findings, students’ motivation to do homework increases in parallel with an increase in teacher effort in selecting homework topics and providing feedback. Similarly, practices that provide autonomy in the homework process are also associated with increased motivation. The increase in homework quality leads to a decrease in negative emotions associated with homework. In parallel with the increase in homework quality, there is also an increase in homework completion behaviour. The relationship between homework quality and homework behaviour and academic achievement is mediated by homework motivation, but not by negative homework emotions. Expectancy and value are positively related to both homework completion and academic achievement. Expectancy and value are positively related to each other and negatively related to negative homework emotions.

Fighting fiscal awkwardness: How relationship strength changes individuals' communication approach when resolving interpersonal debt.

Social interactions can be uncomfortable. The current research focuses on a particularly uneasy interaction that individuals face with their friends and acquaintances: the need to request owed money back. Nine preregistered studies (N = 6,953) show that individuals' approach to resolving interpersonal debt varies based on their closeness with the requestee. Specifically, people prefer communication methods low in social richness (e.g., digital apps) when requesting money back from weak social connections such as distant acquaintances. However, they prefer communication methods high in social richness (e.g., in-person interactions) when requesting money back from strong social connections such as close friends. Process evidence reveals the psychological dynamics at play: (a) people anticipate discomfort when requesting money back from distant acquaintances in person, driving them away from in-person requests and toward digital apps, and (b) people are more averse to appearing impersonal with close friends, driving them away from digital apps and toward in-person requests. In sum, individuals adaptively approach uncomfortable financial interactions based on the relationship dynamics at hand. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Research on the Influence of User Relationship Strength on Value Co-Creation Behavior of Online Fitness Community

ABSTRACT Purpose The factors that drive user value co-creation behavior are unique to China due to the country’s unique economic, political and cultural influences. However, few scholars have paid attention to the driving factors of user value co-creation behavior in the Chinese context. In this study, the authors deepen their understanding of the drivers of user value co-creation behavior by exploring the impact of relationship strength, a variable with Chinese characteristics, on value creation behavior. Design/methodology/approach The article takes the relationship strength of online fitness users as the research object from the user’s perspective, uses literature and questionnaires to establish a model of the influence mechanism of online fitness users’ relationship strength on value co-creation behavior, use AMOS to test the model empirically based on the data of 471 senior Chinese online fitness users. Findings The findings confirm that all dimensions of relationship strength, except duration, have a significant positive impact on value experience. Each dimension of relationship strength has a significant positive impact on demand satisfaction. Value experience and demand satisfaction have a significant direct positive impact on value co-creation behavior. Research Implications This study introduced the variable relationship between strength, explore the user relationship strength with Chinese characteristics variables influence on value creating behavior, follow the “stimulus → psychological perception → value co-creation behavior” logic, build the user relationship strength of value creating action mechanism model, and carries on the empirical test, it broadens the research perspective of driving users to produce value co-creation behavior. Practical Implications The results of this study show that managers need to enhance the relationship strength of users in online fitness communities, especially to improve users’ perception of reciprocity, and to focus on users’ needs and experiences to achieve value co-creation. Originality This study makes two main contributions. It examines the impact of online fitness user relationship strength on value co-creation behavior in the Chinese context, enriching the research on the drivers of value co-creation behavior. Additionally, this study reveals the influence mechanisms of online fitness user relationship strength on value co-creation behavior and provides theoretical guidance for online fitness company to drive users to generate value co-creation behavior.

Do fear-of-COVID-19 and regional identity matter for the linkage between perceived CSR and brand evangelism? A comparative analysis in South Asia

PurposeThere is a dearth of evidence on how and when perceived corporate social responsibility (PCSR) contributes to brand evangelism in the consumer behavioural literature, especially during a pandemic situation. In an attempt to examine this phenomenon, this study investigates the effect of fear-of-COVID-19 (Coronavirus disease 2019) and regional identity on PCSR and brand evangelism effect in the South Asian retail context. It theorises linkages mainly from behavioural inhabitation system theory and social identity theory.Design/methodology/approachA survey was administered to a representative sample of 2,242 retail consumers representing Sri Lanka, Bangladesh, Pakistan and India.FindingsThe results revealed a positive impact of PCSR on brand evangelism, but interestingly varying levels of strength of the key relationships based on country-wise fear-of-COVID-19 and regional identity during the pandemic.Practical implicationsFor the first time, the results of this research shed light on incorporating consumers’ regional identity as well as consumer fear as cultural predictors for better explaining the PCSR and brand evangelism link of nations within a region. This has implications for both theory and practice in the domain of consumer behaviour.Originality/valueThe study reflects its originality by revealing the relevance of country level social identity and negative emotions of nations that can manipulate the business results of corporate ethical responsiveness from a consumer culture theory perspective, especially during and just after a crisis. These results underlie what is active inside consumer black box by explaining as to what external stimuli drive consumer collective and moral mind set in a given culture. This adds to the body of knowledge on ethical consumption behaviour more specific to consumer–brand interaction in market crises.

Root Cause Attribution of Delivery Risks via Causal Discovery with Reinforcement Learning

Managing delivery risks is a critical challenge in modern supply chain management due to the increasing complexity and interdependencies of global supply networks. Existing methods often rely on correlation-based approaches, which fail to uncover the true causes behind delivery delays. This limitation makes it difficult for supply chain managers to identify actionable factors that can mitigate risks effectively. To address these challenges, we propose a novel method that integrates causal discovery with reinforcement learning to identify the root causes of delivery risks. Unlike traditional correlation-based methods, our approach uncovers both the direction and strength of causal relationships between variables, allowing for more accurate identification of the key drivers behind delivery delays. By applying causal strength quantification, we further measure the impact of each factor on delivery performance. Using real-world supply chain data, our results demonstrate that the proposed method reveals hidden causal relationships between factors such as shipping mode, order size, and delivery status. These insights enable supply chain managers to implement more targeted interventions, significantly improving risk mitigation strategies.

How Does Our Voice Reflect Who We Are? Connecting the Voice and the Self Using Implicit Association Tests

PurposeThis study examined the contribution of voice to the self via implicit associations. MethodAn implicit association test (IAT) of the voice and the self was created and presented to vocal performers and community controls. One-hundred eleven participants completed this voice-self IAT, the Vocal Congruence Scale (VCS), and the Voice Handicap Index (VHI) via an in-person, monitored, and timed Qualtrics survey. Student t tests comparing timing differences between congruent and incongruent conditions revealed the presence of an implicit relationship. ResultsThe findings demonstrated an implicit relationship between the voice and the self as measured using the IAT. Strength of implicit relationships between self and voice was significantly greater for community controls than vocal performers. Additionally, this IAT revealed divergent validity with the VCS, and the VHI using Spearman’s correlation. ConclusionImplications suggest that even if overt declarations are absent, individuals with an implicit voice-self relationship rely on their voice to contribute to their sense of self. This implicit relationship is greater for community members than vocal performers.

Comprehensive framework for Integrated Construction Platforms (ICP) implementation and its effect on project success

The construction sector is one of the key factors in the economic development of a country hence there is still a need to find the most effective ways to improve performance of construction projects. The new opportunities in construction through advanced technologies have provided ways of improving performance in projects through Integrated Construction Platforms (ICPs). However, study on the contribution of ICPs to success in a project has been limited. To fill this gap, this study will explore the major performance attributes of ICPs and their influence on project outcomes. This includes mixed-method research, combining deep literature review, expert practitioner interviews, and a structured survey on construction professionals. The methodology of SEM and EFA is adopted to identify positive strong interrelationship with ICP Performance and overall project success (OPS). The relative relevance and influence on the overall project are underscored by the critical role being played through ICP adoption, wherein strength of impact relationship is at 72 % (B = 0.722). The results of this research are highly significant for the academic field and the construction industry itself, as better project performance and decision-making, with fewer errors, are achieved. The article underscores the necessary criteria that need to be taken up for the successful implementation of ICP in construction projects.

Spatiotemporal variations of surface albedo in Central Asia and its influencing factors and confirmatory path analysis during the 21st century

Surface albedo (SA) is crucial for understanding land surface processes and climate simulation. This study analyzed SA changes and its influencing factors in Central Asia from 2001 to 2020, with projections 2025 to 2100. Factors analyzed included snow cover fraction, fractional vegetation cover, soil moisture, average state climate indices (temperature and precipitation), and extreme climate indices (heatwave indices and extreme precipitation indices). Pearson correlation coefficient, geographical convergent cross mapping, and geographical detector were used to quantify the correlation, causal relationship strength, and impact degree between SA and the influencing factors. To address multicollinearity, ridge regression (RR), geographically weighted ridge regression (GWRR), and piecewise structural equation modeling (pSEM) were combined to construct RR-pSEM and GWRR-pSEM models. Results indicated that SA in Central Asia increased from 2001 to 2010 and decreased from 2011 to 2020, with a projected future decline. There is a strong correlation and significant causality between SA and each factor. Snow cover fraction was identified as the most critical factor influencing SA. Average temperature and precipitation had a greater impact on SA than extreme climate indices, with a 1 °C temperature increase corresponding to a 0.004 decrease in SA. This study enhances understanding of SA changes under climate change, and provides a methodological framework for analyzing complex systems with multicollinearity. The proposed models offer valuable tools for studying interrelated factors in Earth system science.

Supplemental Material for Fighting Fiscal Awkwardness: How Relationship Strength Changes Individuals’ Communication Approach When Resolving Interpersonal Debt

Supplemental Material for Fighting Fiscal Awkwardness: How Relationship Strength Changes Individuals’ Communication Approach When Resolving Interpersonal Debt

Relationship between Knowledge and Self-Efficacy of Type 2 Diabetes Mellitus Patients

Background: Diabetes Mellitus (DM) poses a significant threat to global health. According to the International Diabetes Federation (IDF) in the 10th edition of the Diabetes Atlas, DM has become one of the most rapidly escalating global health emergencies. In 2021, 537 million people in the world were living with DM. This number is projected to reach 643 million by 2030, and 783 million by 2045. Indonesia is in the top 10 countries with the most DM patients, reaching 10 million people. Self-efficacy in DM patients, shows the results that there are still many patients who have low efficacy. Objective: This study aims to investigate the relationship between knowledge and self-efficacy in patients with Type 2 Diabetes Mellitus. Methods: This quantitative research utilized a cross-sectional design involving 165 patients diagnosed with Type 2 Diabetes Mellitus undergoing outpatient treatment. A purposive sampling technique was applied, and data were analyzed using bivariate analysis to assess the relationship between knowledge and self-efficacy. The sample in this study amounted to 165 people with purposive sampling technique . The analysis method used was bivariate analysis to see the relationship between the independent variable and the dependent variable. Data were analyzed using SPSS software. Results: The results showed that a significant relationship with a positive direction, namely, the higher the value of knowledge the higher the value of self-efficacy, and the strength of the moderate correlation between knowledge and self-efficacy. With moderate correlation strength. The coefficient of determination is 0.228, which means that the knowledge variable affects self-efficacy by 22.8% for patients with type 2 diabetes mellitus. Conclusion: There is a significant relationship, positive direction and moderate correlation strength between knowledge and self-efficacy in patients with Type 2 Diabetes Mellitus. In this regard, nursing can provide a preventive effort on cognitive aspects such as providing education on the importance of self-efficacy.

Navigating uncertainty: The interplay of future job forecasting, learning agility, responsiveness, and adaptability

Background: According to the 2023 World Economic Forum report, the impact of Artificial Intelligence (AI) and automation on the job market was more significant than originally projected. Although 2018 research forecasted significant job losses balanced by job creation, current data indicates otherwise. Between 2023 and 2027, it is anticipated that 69 million new jobs will be created due to advancements in AI, however, this will be offset by the loss of 83 million jobs, leading to a net decrease of 14 million jobs worldwide. Roles related to AI, digitalization, and sustainability, such as AI specialists and renewable energy engineers are expected to grow, while those in clerical and administrative sectors are most at risk of decline. This shift underscores the need for reskilling and adapting to evolving fields, as nearly 44% of workers skills will face disruption by 2027. The demand for analytical thinking, technological literacy, and adaptability will grow as companies increasingly adopt frontier technologies. Objectives: (1) identify key variables influencing adaptability of college graduates in Indonesia, (2) quantify the strength of relationships between these variables to understand the combined effect on graduate adaptability. The research also aims to (3) develop theoretical and practical recommendations to strengthen ICIL policy and equip students with the relevant skills needed to thrive in an ever-changing job market. Methodology: The research focuses on predicting future employment trends, adaptability, and learning agility (LA), along with the implications for improving the Independent Campus Independent Learning (ICIL) policy. It focused on the significant unemployment rate among college graduates, along with the lack of research on the relationship between job change predictions, graduates’ adaptability, and the impact on graduates’ general well-being. The mixed-method strategy with quantitative analysis was used to conduct this research with data collected from 284 ICIL participants through online survey. The gathered data was evaluated using Structural Equation Modeling (SEM) with Lisrel version 10. Results: The result showed that job trend projections significantly influence responsiveness, which demonstrated a robust association between employment trend predictions and LA. Responsiveness significantly influenced learning agility which indicated no significant direct association between job trend projections and graduate adaptability. Conclusion: The research emphasized the need to consider adaptability as a concept with multiple dimensions. It proposed incorporating these factors into strategies for education and human resources development in order to better equip graduates for the demands of a constantly changing work market. Unique contribution: This research focused on adaptability as a multifaceted concept that consist of the ability to forecast job trends, be sensitive, and possess LA. It offered a deeper understanding of the relationships between these variables as discussed in the human resources literature. Technology, corporate culture, and training played a critical role in connecting employment trend prediction with the ability to respond effectively. Key recommendation: Institutions should implement a comprehensive approach to the development of human resources, with emphasis on fostering critical thinking, analytical abilities, and the practical application of information. By employing these tactics, higher education institutions may effectively equip graduates with both academic proficiency and the ability to adapt and thrive in quickly changing organizational environments, leading to the production of robust and versatile workers.

Cognitive Representations of Social Relationships and their Developmental Origins.

In the human mind, what is a social relationship, and what are the developmental origins of this representation? I consider findings from infant psychology and propose that our representations of social relationships are intuitive theories built on core knowledge. I propose three central components of this intuitive theory. The purpose of the first component is to recognize whether a relationship exists, the purpose of the second is to characterize the relationship by categorizing it into a model and to compute its strength (i.e., intensity, pull, or thickness), and the purpose of the third is to understand how to change relationships through explicit or implicit communication. I propose that infants possess core knowledge on which this intuitive theory is built. This paper focuses on the second component and considers evidence that infants characterize relationships. Following Relational Models Theory (A. P. Fiske, 1992, 2004) I propose that from infancy humans recognize relationships that belong to three models: communal sharing (where people are 'one'), authority ranking (where people are ranked), and equality matching (where people are separate, but evenly balanced). I further propose that humans, and potentially infants, recognize a relationship's strength which can be thought of as a continuous representation of obligations (the extent to which certain actions are expected), and commitment (the likelihood that people will continue the relationship). These representations and the assumption that others share them allow us to form, maintain, and change social relationships throughout our lives by informing how we interpret and evaluate the actions of others and plan our own.

Sleep difficulties as a universal risk factor for injury among adolescents in 46 countries

Abstract Background Poor sleep is common among adolescents and associated with unintentional injuries. The current evidence base is limited by differences in measures of sleep and injury implemented across studies. We examined the potential universality of the relationship between poor sleep and injury cross-nationally using self-reports from 229,589 adolescents in 46 countries that were collected using common procedures and measures. Methods A cross-sectional study was conducted using records from the 2017/18 Health Behaviour in School-aged Children (HBSC): World Health Organization cross-national study. The prevalence of sleep indicators (difficulties in falling asleep, insufficient sleep, social jet lag) and medically treated injuries (overall, multiple) were described across countries and by gender. Multivariable modified Poisson regression analyses were conducted within and across countries to test the consistency of the association between poor adolescent sleep and injuries. Results Overall, indicators of poor sleep were reported by nearly half of adolescents, and varied by gender and across countries. Country-level analyses found consistently positive associations between indicators of poor sleep and injuries. Pooled (multi-country) analyses further demonstrated a universality of these relationships across sleep indicators and injury outcomes. The strength of relationships varied by gender, with more robust associations detected among girls compared to boys. Conclusions Poor sleep is a robust and mainly consistent risk factor for injury among adolescents across countries and regions. Public health officials and policymakers should therefore recognize adolescent sleep as a health priority. The promotion of sleep hygiene may represent a novel target for injury prevention at regional and national levels. Key messages • Poor sleep, in the form of sleep difficulties, insufficient sleep, and social jet lag, were robust and mainly consistent injury risk factors among adolescents across 46 countries. • Public health officials should recognize sleep hygiene as a novel focus for adolescent injury prevention.

Navigating the Social Shift: A Preliminary Study of Consumer Behavior on Malaysia's Social Commerce Platforms

The proliferation of online businesses coupled with the advancement of information and communication technologies (ICT) has led to the emergence of social commerce. The integration of social media platforms into e-commerce offers businesses a convenient avenue for engaging with consumers and a novel method for capturing additional sales volume. This seamless integration of social media platforms into current e-commerce practices has significantly increased its success. Research on the factors that affect purchase intentions in social commerce is still sparse, especially in the context of Malaysian consumers. In general, the causal model of purchase intentions on social commerce in this study aims to investigate the impact of the constructs of visibility and metavoicing on purchase intentions among Malaysian millennial consumers. Henceforth, this initial study specifically aims to evaluate the reliability and validity of the IT affordance constructs of visibility and metavoicing through rigorous assessments. At the items-construct level, the internal consistency assessment was conducted using McDonald’s Omega, which is known for its robustness in measuring the reliability of multi-item constructs. At the construct level, discriminant validity and the strength of linear relationships among variables were assessed using Pearson correlation analysis. The pilot dataset gathered was analyzed with SPSS 29, and the results have validated that the predictive model achieved high levels of reliability and validity at both the item and construct levels. Furthermore, the analysis revealed that the independent variables, metavoicing and visibility, have a significant association with purchase intentions, underscoring their importance in understanding consumer behavior.

Quantitative ultrasound assessment of fatty infiltration of the rotator cuff muscles using backscatter coefficient

BackgroundTo prospectively evaluate ultrasound backscatter coefficients (BSCs) of the supraspinatus and infraspinatus muscles and compare with Goutallier classification on magnetic resonance imaging (MRI).MethodsFifty-six participants had shoulder MRI exams and ultrasound exams of the supraspinatus and infraspinatus muscles. Goutallier MRI grades were determined and BSCs were measured. Group means were compared and the strength of relationships between the measures were determined. Using binarized Goutallier groups (0–2 versus 3–4), areas under the receiver operating characteristic curves (AUROCs) were calculated. The nearest integer cutoff value was determined using Youden’s index.ResultsBSC values were significantly different among most Goutallier grades for the supraspinatus and infraspinatus muscles (both p < 0.001). Strong correlations were found between the BSC values and Goutallier grades for the supraspinatus (τb = 0.72, p < 0.001) and infraspinatus (τb = 0.79, p < 0.001) muscles. BSC showed excellent performance for classification of the binarized groups (0–2 versus 3–4) for both supraspinatus (AUROC = 0.98, p < 0.0001) and infraspinatus (AUROC = 0.98, p < 0.0001) muscles. Using a cutoff BSC value of −17 dB, sensitivity, specificity, and accuracy for severe fatty infiltration were 87.0%, 90.0%, and 87.5% for the supraspinatus muscle, and 93.6%, 87.5%, and 92.7% for the infraspinatus muscle.ConclusionBSC can be applied to the rotator cuff muscles for assessment of fatty infiltration. For both the supraspinatus and infraspinatus muscles, BSC values significantly increased with higher Goutallier grades and showed strong performance in distinguishing low versus high Goutallier grades.Relevance statementFatty infiltration of the rotator cuff muscles can be quantified using BSC values, which are higher with increasing Goutallier grades.Key PointsUltrasound BSC measurements are reliable for the quantification of muscle fatty infiltration.BCS values increased with higher Goutallier MRI grades.BCS values demonstrated high performance for distinguishing muscle fatty infiltration groups.Graphical

The Analysis Of The Relationship Of Total Quality Management (TQM) And Knowledge Management (KM) On The Organisational PerformanCE Of PT. Birawidha Garda Santosa

The challenge of managing security services (Satpam) requires guaranteed service quality in order to increase business sustainability and competitiveness. This study aims to determine the influence of Total Quality Management (TQM) to Knowledge Management (KM) and the influence of TQM to Organizational Performance (KO) and the influence of KM as mediation role between TQM and KO, besides to determine the relationship between sub-dimension TQM and KM in the construct of research relationship model. The desain of this research uses field survey approach (questionnaires). The research sites are in operating areas of PT BGS in Indonesia which spread across 11 provinces of Indonesia with population 1014 security personnels. The sampling number in this study is 144 respondents uses proportional random sampling. Analytical methods used in this study are Structural Equation Model test with the help of SMAT Partial Least Square (SmarPLS) app with the stages measurement model evaluation (validity and reliability), structural model evaluation (to determine strength of the R2 relationship between laten exogen variable), measurement model testing and hypothesis testing. The research results show that TQM has a significant positive effect on KM and KO as shown by p-values of 0.000 and 0.010 respectively. KM also has a significant positive effect on KO as indicated by a p-value of 0.000. KM as a mediating variable has an influence as an enabling factor in achieving organizational performance.

Associations between tripartite dimensions of internalizing symptoms and transition readiness in a sample of emerging adults with and without chronic physical health conditions.

Theoretical models note psychosocial functioning as a key influence on transition readiness skills (TRS) among emerging adults (EA), but little is known about the relative importance of unique vs. shared anxiety and depressive dimensions, operationalized according to Clark and Watson's (1991) tripartite model, in contributing to TRS. Moreover, although development of TRS is important for all EA, few studies have examined whether the strength of relationships between internalizing symptoms and TRS vary between EA with and without chronic physical health conditions (CHC). Given the links between suboptimal TRS and adverse health outcomes, additional research is needed. This study examined individual and additive associations between three internalizing symptom dimensions (anxious arousal, anhedonic depression, and general distress) and TRS, as well as the moderating role of CHC status. One hundred twenty-six EA completed an online survey measuring TRS and internalizing symptoms. The sample was 70.6% women, 39.7% of minoritized racial identity, and 21.2% Hispanic ethnicity. The mean participant age was 21.23 years. In two of three regression models, anhedonic depression alone was significantly related to TRS. CHC moderated the relationship between internalizing and TRS in only two of nine models. In both cases, internalizing symptoms were negatively associated with TRS for those without CHCs, but not for those with CHCs. Assessment of anhedonic depression may be particularly useful in identifying youth at risk for suboptimal TRS regardless of CHC status. Moreover, interventions such as behavioral activation to improve TRS skill attainment warrant additional investigation.

Advocating a place-space duality for an accounting research agenda

PurposeThe paper proposes a place-space duality, rather than a dualism, for accounting research.Design/methodology/approachThe discussion is informed by the literature in human geography, which, while developing the concept of space, has made an important distinction between abstract space and place as a site of experiential learning and memory.FindingsThe lack of a concept of place is a serious omission in the accounting literature and perpetuates an abstract sense of space, which can restrict the scope of accounting research.Research limitations/implicationsThe paper calls for further research to study accounting in place and to explore both the collective and individual senses of place, as well as conscious and unconscious place associations. We recognise that there is limited prior accounting research on this topic and that there are challenges in conducting such interdisciplinary research, especially as there is a lack of common ground between research in human geography and accounting and little integration of the two literatures.Practical implicationsThe paper proposes an accounting research agenda based on a place-space duality, which reflects the strength of people-place relationships, including place identities, place attachment and place dependence.Originality/valueThe paper provides a critique of the conceptualisation of space in accounting research, identifies place-space as a duality (rather than a dualism) and suggests a novel distinction between studying accounting in context and in place.

Youth Participation in Agripreneurship in Trans Nzoia County, Kenya

The study focused on youth participation in agripreneurship in Trans Nzoia County, Kenya. The county being a bread basket of Kenya, the youth are a sign of progress in the agribusiness sector in the county and country at large. The study was guided by the following objectives; to assess effect of youth attitude on participation in Agripreneurship in Trans Nzoia County, Kenya, and to establish the effect of perceived benefits on youth participation in Agripreneurship in Trans Nzoia County, Kenya. The research theories in the study included; the pull- push theory, and unity maximization theory. A descriptive research design was adopted by the study. A target population of 10,080 respondents from which, a sample of 385 respondents was used for data collection and eventual analysis. Research questionnaires were used in collecting data. Both inferential and descriptive statistical methods were used for data analysis and presentation. This enabled the establishment of the strength and nature of relationship among the variables. The findings were expected to benefit county governments, national governments, youth, and various development agencies and to enrich the existing literature on youth programs and empowerment. The study employed the F-test in predicting the dependent variable which indicated that the model significantly predicted how the independent variables affected the dependent variable (youth participation in Agripreneurship in Trans Nzoia County, Kenya). The study further made recommendations on each of the variables for management consideration in future decision making processes. Keywords: Youth Participation, Youth Attitude, Perceived Benefits

Graph-based stock prediction with multisource information and relational data fusion

With the application of multisource information in different fields, the combination of different types of information, such as numerical data and text information, has become a favourable choice for performing stock market analyses. Despite the rich information provided by multisource data, building structured relationships remains challenging. In addition, some market relationship-based analysis methods use a predefined graph structure as a stock relationship graph, which makes it impossible to sensitively aggregate attribute features, and these methods cannot dynamically update market relationships or relationship strengths. In this paper, we propose a novel dynamic attribute-driven graph attention network incorporating sentiment (AGATS) information, transaction data, and text data. Inspired by behavioural finance, we separately extract sentiment information as a factor of technical indicators, and further realize the early fusion of technical indicators and textual data through tensor fusion. In particular, real-time intramarket dependencies and key attribute information are captured with graph networks, enabling dynamic relationship and relationship strength updates. Experiments conducted on real datasets show that our model is capable of ourperforming previously developed methods in prediction and trading.