Abstract: Love of the homeland is a sincere attitude shown by citizens and is manifested in actions for the glory of the homeland and the happiness of the nation. High school students are part of Indonesia’s demographic bonus defined as the productive age population. With a large demographic bonus, the concept of loving the homeland to achieve glory must be well internalized. This study aims to identify students perceptions and consumption behavior towardtowards national products in the personal care and perfume sectors and examine how the practice of consuming domestic products internalizes the value of love for the homeland. The study was conducted in the SMA Komplek Surabaya environment (Jalan Kusuma Bangsa and Wijaya Kusuma) with informants from SMAN 1, SMAN 2, SMAN 5, SMAN 6, and SMAN 9 using a descriptive qualitative approach through short interviews with 12 students. The results of the study indicate that although students have a positive attitude toward Indonesian-made products, the consistency of their use is still low due to the influence of brand image, perceived quality, and social media. These findings emphasize the need for participatory education and contextual digital communication to foster a sense of patriotism while simultaneously strengthening the values ​​of the third principle of Pancasila through economic behavior that supports national industrial independence.

Abstract: Recent advances in cultural psychology elucidated a number of cultural differences in diverse psychological characteristics and behaviors from perceptions, and economic decisions to religiosity. Also, quantum models of cognition and decision making have been developed to mathematically characterize perceptions, and human judgement and decision making. This study proposes cultural quantum modelling approaches to cultural psychology and neuroscience, by utilizing the mathematical model of quantum cognition and decisions in psychology, economics, and decision science. This approach may help better quantitatively rigorous understandings of cultural differences between Westerners and Easterners, Catholics and Protestants, and other cross-cultural variations in psychological and behavioral characteristics and normative principles of rationality.

Abstract: This review systematically explores the potential of the active inference framework in illuminating the cognitive mechanisms of decision-making within repeated games. Characterized by multi-round interactions and social uncertainty, repeated games more closely resemble real-world social scenarios, where the decision-making process involves interconnected cognitive components such as inference, policy selection, and learning. Unlike traditional reinforcement learning models, active inference, grounded in the free energy minimization principle, unifies perception, learning, planning, and action within a single generative model. Belief updating is achieved by minimizing variational free energy, while the exploration-exploitation dilemma is balanced by minimizing expected free energy. Formulated based on partially observable Markov decision processes, the framework naturally incorporates social uncertainty, and its hierarchical structure allows for simulating mentalizing processes, thereby offering a unified account of social decision-making. Future research can further validate its effectiveness through model simulation and behavioral fitting.

Abstract: Innovation adoption in primary sectors—agriculture, horticulture, forestry, and aquaculture—is essential for addressing pressing global challenges including climate change, resource degradation, and food security. However, a persistent gap exists between innovation potential and actual implementation, with many promising technologies failing to achieve widespread adoption despite substantial research investments. This paper presents the Extended Integrated Adoption Model Framework (EIAMF), a systemic approach that addresses critical gaps in adoption theory by integrating four quadrants: technologies, users, finance, and institutions. The EIAMF explicitly recognizes adoption as a systemic process requiring alignment across multiple dimensions. The framework’s distinctive contribution lies in its emphasis on inter-quadrant relationships, revealing how variables across different domains interact, compound, and cascade to create either enabling conditions or barriers. We demonstrate how the framework can enable practitioners to proactively identify potential adoption barriers early in the innovation development process by providing structured diagnostic protocols that reveal when barriers in multiple quadrants compound to create obstacles, when cascade effects amplify constraints across the system, and where strategic interventions can address multiple barriers simultaneously. We discuss theoretical contributions and practical implications for practitioners and policy designers, highlighting how the EIAMF provides stakeholders with a tool for designing more effective adoption strategies.

Abstract: In this paper, we evaluate the profitability for firms in Greece and Cyprus from 2005 to 2020. More specifically, we investigate the effect of non-accounting variables, which affect the daily life of companies, on the firms' level profitability. We seek to investigate the impact of corruption, unemployment, part-time employment, and R&D on the performance of companies that can help managers by giving them more information and serving them in future decision making. We show that these variables do not have a large effect on the firm-level profitability of these two countries, which is largely influenced by profit margin and other interaction variables, such as profit margin on asset turnover ratio and equity multiplier. Based on the results, we see that companies should put more emphasis on R&D and strengthen the labor market by reducing any negative speculation in the country.

Abstract: Consumer preferences for beef are increasingly driven by a desire for hygienic and nutritious meat with excellent organoleptic qualities. This paper investigates the impact of cattle breed on key quality attributes—colour, marbling, and tenderness—central to consumer choice. Six different bovine breeds were taken into consideration: German Red Pied, Piemontese, Chianina, Angus, Holstein and a Polish crossbreed. The muscle taken into consideration was the Longissimus thoracis et lumborum. Colorimetric assessments, marbling evaluations, fatty acid profiling, and tenderness measurements, were conducted on meat cuts from each breed. Results revealed that Chianina, Holstein, and the Polish crossbreed exhibited distinct colour characteristics, with Chianina displaying notably brighter meat. Angus emerged as the most marbled breed, while Chianina and Piemontese showed lower marbling. Total lipids content was correlated with visible marbling. Tenderness assessments identified Angus and Holstein as the most tender breeds. The study's findings contribute to a proposed grading scale for colour, marbling, and tenderness, offering potential labelling infographics to assist consumers in making informed choices based on individual preferences and needs. These insights underscore the importance of breed-specific information on labels to enhance consumer understanding and facilitate more informed purchasing decisions.

Abstract: This study critically examines the economic, reputational, and structural dimensions of chargeable journals within the open access (OA) publishing model, with a particular focus on Article Processing Charges (APCs). While open access increases visibility and accessibility of research, it shifts substantial financial and intellectual burdens onto authors, raising concerns about fairness and exploitation. Using a conceptual and thematic analysis of peer-reviewed literature from 2015 to 2025, the study highlights how commercial publishers capture disproportionate economic benefits, leverage prestige, and maintain structural control over scholarly communication. Findings reveal systemic inequities, including financial barriers for researchers from underfunded institutions and low- and middle-income countries, the rise of predatory publishing, and market-driven APC pricing structures. Despite these challenges, alternatives such as Diamond Open Access, institutional support, and policy reforms offer more equitable pathways. The study contributes to debates on scholarly equity and provides recommendations for more transparent, ethical, and inclusive publishing models.

Abstract: Anticipating disruptive technologies often reveals deep social divides in how individuals interpret change. This paper examines the psychological consequences of imagining an Artificial Intelligence (AI) revolution in the Democratic Republic of Congo (DRC), with particular attention to perceived behavioral control (PBC). Drawing on the Theory of Planned Behavior, we conceptualize PBC through two key dimensions: self-efficacy and locus of control. Using a randomized experimental design with treatment, placebo, and control conditions, participants were primed with narratives of AI disruption, after which shifts in their sense of agency were measured. Findings indicate that AI primes significantly reduced perceptions of controllability, especially among disadvantaged groups, while self-efficacy remained largely stable. Conversely, individuals with relative advantages, proxied by car ownership and male gender, demonstrated resilience, and in certain cases even a rebound effect, suggesting that access to material and symbolic resources protects against the disempowering effects of disruptive change. These results underscore a critical psychological cleavage: whereas advantaged participants are inclined to view AI as opportunity, marginalized participants experience it as an uncontrollable threat. The study contributes to debates on inequality, perceived behavioral control, and technology adoption by revealing how social class moderates psychological responses to anticipated technological transformations. Policy implications emphasize that reducing inequality requires not only digital infrastructure and skill-building, but also the cultivation of psychological resources such as Locus of control, inclusion, and self-efficacy to mitigate the risk of AI amplifying existing divides.

Abstract: This paper is devoted to the sustainable management problem of a multipolar world. The description of a multipolar world as a global organizational system is given. For the first time in the literature, all elements of the global organizational system mathematical model are specified in terms of a multipolar world order where civilizations act as agents. The peculiarities of viability conditions for such a global socio-ecological-economic system are indicated. The solvability conditions of the sustainable management problem under multipolarity are identified.

Abstract: This review critically examines training and testing strategies in youth athletes, focusing on growth, maturation, and specialization. Early specialization, occurring in athletes younger than 12 years, is associated with training volumes above 15 h/week and with dropout rates of nearly 30–35% before age 15. The aim was to evaluate age- and maturity-specific protocols, identify limitations of adult-derived models, and provide evidence-informed recommendations. A structured search in PubMed, Scopus, and Web of Science between 2000 and 2025 identified 325 articles; after screening, 87 were included, with 19 addressing maturation, 16 testing, 18 training load, 15 motor skill development, and 19 specialization. Results show that growth variability, particularly during peak height velocity (10–12 y girls; 12–14 y boys), increases injury risk two- to threefold. Standardized adult testing (e.g., VO₂max treadmill) is often unreliable in adolescents, while field-based protocols such as the Yo-Yo IR1, CMJ, and FMS provide safer and more valid alternatives. Flexible periodization with deload cycles of 1–2 weeks and monitoring through RPE, GPS, and HR improves both safety and adaptation. Diversified sport participation further reduces burnout and supports long-term outcomes. Integrating maturity status into training and testing optimizes development, minimizes injury, and sustains lifelong athlete engagement.

Abstract: This study aims to explore the potential role and pathways for transforming social sciences within the national security and strategic competition landscape. Its objectives address pressing challenges including the inadequate alignment between social sciences and national strategy, insufficient conversion of academic findings into policy and practical tools, intensifying disinformation offensives and countermeasures, and uneven allocation of research resources. Methodologically, this study combines strategic intelligence analysis with policy evaluation, employing comparative case studies, interdisciplinary literature reviews, and institutional design frameworks. It draws upon the DARPA ‘Heilmeier Eight Questions’ and the EU's mission-oriented innovation model for its arguments. Findings indicate that by establishing a national-level social science research platform, optimising research funding mechanisms, fostering closer alignment between academic pursuits and strategic imperatives, and developing deepfake forensics alongside cognitive immunity systems, social sciences may evolve from traditional knowledge accumulation into resources serving strategic decision-making and cognitive competition. This transformative trajectory enhances political narrative power and cognitive dominance, bolsters institutional adaptability, and furnishes nations with combined soft and hard competitive advantages on the international stage. The conclusion posits that the strategic utilisation of social sciences is not a singular pathway but a multi-layered, multi-stage exploratory process, offering significant reference value for enhancing national security and international influence.

Abstract: We develop a comprehensive dynamic Walrasian framework entirely in $L^{\infty}$ so that prices and allocations are essentially bounded, and market clearing holds \emph{pointwise almost everywhere}. Utilities are allowed to be \emph{locally Lipschitz and quasi-concave}; we employ Clarke subgradients to derive generalized quasi-variational inequalities (GQVIs). We endogenize inventories through a capital-accumulation constraint, leading to a \emph{differential} QVI (dQVI). Existence is proved under either strong monotonicity or pseudo-monotonicity and coercivity. We establish \emph{Walras’ law, complementarity, stability and sensitivity} of the equilibrium correspondence in $L^2$-metrics, incorporate \emph{time-discounting} and \emph{uncertainty} on $\Omega\times[0,T]$, and present convergent \emph{numerical schemes} (Rockafellar–Wets penalties and extragradient). Our results close the “in mean vs pointwise” gap noted in dynamic models and connect to modern decomposition approaches for QVIs.

Abstract: This study explored whether combining promotional strategies with specific shipping types influenced consumer spending. The assumption was that a discount paired with fast or free shipping might have increased purchase amounts. Using a real-world dataset that included demographic variables, purchase history, promo code use, and shipping preferences, the outcome variable, purchase amount, was treated as continuous.Linear regression and XGBoost models were used to test both main and interaction effects. SHAP values and supporting visuals helped interpret model behavior.Across all models, the findings were consistent: there was no statistically significant relationship between promo code use, shipping type, or their interaction and how much people spent. SHAP confirmed that these features had little predictive weight.Although the hypothesis was not supported, the results raised broader questions. Some of the most widely used marketing tactics may not have always moved the needle on spending. More detailed, context-rich data might have been needed to uncover what actually did.

Abstract: This paper examines the transformative impact of Artificial General Intelligence (AGI), poised to redefine society and organizations by surpassing narrow AI's capabilities. Drawing on historical technological revolutions, we analyze AGI’s potential to enhance problem-solving, address global challenges like climate change and healthcare disparities, and reshape labor, governance, and human purpose. Through a human-AI collaborative approach, we present four scenarios—ranging from utopian synergy to existential risks—to assess AGI’s societal and economic implications. Key considerations include cognitive automation, ethical governance, and equitable access. We propose actionable recommendations for governments, firms, and educational institutions, emphasizing reskilling, international cooperation, and ethical frameworks to ensure AGI fosters inclusive prosperity while mitigating risks like job displacement and inequality.

Abstract: In the context of increasingly hybrid, nonlinear, and technologically mediated threats, security analytics has evolved into a core function of strategic decision-making rather than a subsidiary intelligence support tool. This paper examines the theoretical foundations, methodological challenges, and organizational dimensions of contemporary security analysis, with a focus on integrating structural (Clark) and cognitive (Heuer) paradigms. It examines the typology of analytical approaches—intelligence, forensic, and operational—while identifying the pervasive influence of cognitive biases, heuristics, and groupthink on analytical judgment. The study highlights the need for structured analytical methods such as the Analysis of Competing Hypotheses (ACH), scenario modeling, and red teaming to enhance analytical objectivity and decision reliability. Through a synthesis of theoretical models and institutional best practices, the article advocates for a systemic, reflexive, and integrated framework for security analytics—one that combines epistemological awareness, methodological rigor, and professional accountability to support sustainability in complex security environments.

Abstract: Against the backdrop of intensifying global strategic competition, structural imbalances in youth employment, and deep-seated demographic transitions, China's current overseas study policies have exposed significant issues such as structural mismatches and misaligned policy directions. This paper centres on the concept of a ‘strategic dual-track overseas study system,’ aiming to reconfigure China's overseas study policies to simultaneously serve the ‘Belt and Road’ national cooperation initiative and alleviate domestic structural employment pressures. It proposes a systemic reform framework that elevates the educational function to a national strategic tool. The study employs structural modelling and system dynamics methods to construct a causal feedback model of the ‘externalised population and employment relief mechanism,’ integrating game theory structures with population policy pathways to analyse the strategic relief effects and technology introduction synergy pathways under the dual-track orientation. Through policy simulation, this paper estimates that if 300,000 to 500,000 young students are sent to Belt and Road countries annually, and a 50% to 60% settlement rate is achieved with policy support, it is expected that 150,000 to 250,000 people facing employment pressure can be effectively alleviated annually. In the long term, through the closed-loop pathway of study abroad, employment, and settlement, a distributed Chinese international talent network can be formed to support overseas investment, cultural dissemination, and the expansion of geopolitical influence. The research findings indicate that ‘strategic study abroad’ can serve as a systemic regulator to mitigate youth employment crises, optimise talent structures, and enhance national soft power, significantly enhancing the geopolitical resilience of policies and the external carrying capacity of population distribution. The conclusion states that only by embedding study abroad policies into the national macro-development strategic framework and establishing a long-term mechanism driven by the interplay of ‘education-population-geopolitics’ can the dual transformation of the national globalisation strategy be achieved: internally alleviating employment structural pressures and externally expanding soft strategic influence.

Abstract: The next “moonshot’ isn’t technological—it’s the leap from 5% to 100% human capacity of awakening “consciousness” for intergenerational well-being. This is a Comprehensive Review Synthesizing Six Empirical Studies on the Evolution Beyond AI-ESG Challenge to a Regenerative Digital Genesis. We're living through a paradox of staggering potential and profound brokenness. Human ingenuity and AI capabilities have never been more powerful, yet our ecosystems, communities, and mental health have never been more fragile. As artificial intelligence evolves toward Artificial General Intelligence, the consciousness quality of humans guiding these systems will determine whether we achieve civilizational flourishing or destruction. Yet humanity faces a consciousness crisis, operating at only 5% of our neurological potential during civilization's most critical decisions—leaving 95% of our genius untapped precisely when we need it most.This comprehensive review presents Regenerative Intelligence as the consciousness evolution that activates our full human potential while serving life itself. Drawing from more than twenty years of AI-DeepTech development, digital transformation experience and synthesizing six peer-reviewed studies across 340 organizations, including practical consulting and coaching engagements on strategic transformations, this article introduces four integrated frameworks culminating in the 3Rs-T pathway: Restoration, Resilience, Regeneration, and Transcendence. This progression shows how neuroplasticity can transform broken patterns while awakening Spiritual Intelligence as our ultimate guidance system for ensuring AI serves humanity's prosperity and life's flourishing.The empirical evidence is compelling: organizations implementing regenerative frameworks achieve 50% superior returns with results so consistent we can stake our reputation on them, 40% improved AI-enhanced decision-making that transforms how leaders navigate complexity, and maintain transformation gains for 4.2 years versus 8-12 months for traditional approaches. With the $115 trillion global Great Wealth Transfer converging with exponential AI advancement, we face humanity's greatest inflection point. This review provides evidence-based pathways for leaders, investors, and policymakers to navigate this convergence while ensuring civilizational transcendence rather than collapse.

Abstract: Money is not a source of happiness—it is a structural expander of objective agency: the volume of viable actions available to an individual in a given system. This concept paper introduces a systems-theoretic model of money as a general-purpose constraint-removal mechanism. It formally distinguishes between objective and perceived agency, and proposes Agency-Adjusted Income (AAI) as a more accurate metric of real-world freedom than GDP or gross wages. This reframing resolves core paradoxes in the happiness literature, explains international migration and geo-arbitrage behavior, and suggests new design paradigms for policy, mental health, and urban systems. We argue that real freedom is quantifiable and expandable through deliberate system architecture—and that maximizing agency-per-capita should be a foundational aim of human development.

Abstract: Amid escalating regulatory and stakeholder pressures, corporate environmental practices emerge as strategic competitive advantages. Yet, research lacks depth on interactions among PLU (Power, Legitimacy, Urgency) attributes and resource-constrained decision pathways. Integrating stakeholder theory and the attention-based view (ABV), this study develops a pressure-attention-action model to explain voluntary adoption of ultra-regulatory environmental practices (PEPs). Analyzing survey data from 503 Taiwanese firms via PLS-SEM, legitimacy and urgency significantly drive pressure perception, while power shows no independent effect. Firm size moderates pressure-resource linkages, with urgency prompting resource reallocation for environmental proactivity across scales. A dynamic PLU assessment tool and scale-sensitive strategies are proposed, challenging power-centric paradigms and aiding SMEs through collaborative networks. Limitations include cross-sectional data and regional focus, urging longitudinal and cross-industry validation.

Abstract: This study examines the association between age and generalized trust in the United States using data from the 2011 wave of the World Values Survey (N = 2,232). Employing a series of probit regression models with extensive socio-demographic controls, we identify a significant U-shaped relationship between age and generalized trust: trust levels decline during early adulthood and increase in later life, peaking among the elderly. The findings remain robust after adjusting for gender, income, education, ethnicity, language, and religious affiliation. Notably, older adults demonstrate markedly higher levels of generalized trust, while younger adults exhibit greater skepticism. These results underscore the role of age-related social experience and institutional exposure in shaping trust. The study also highlights lower trust levels among minority groups and immigrants, and a positive association between trust and socioeconomic status. The implications suggest the need for differentiated policy strategies to protect vulnerable seniors from exploitation and to rebuild trust among younger cohorts disillusioned by systemic failures.