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This article proposes Marketing 0.0 as a fundamental conceptual repositioning of marketing theory rooted in the Trust Economy framework. Unlike mainstream marketing theory, which positions trust as an outcome of communication, persuasion, or brand reputation, cross-disciplinary studies in economics, sociology, and neuroscience suggest that trust functions as a pre-decisional condition that precedes market exchange. This research employs a conceptual-theoretical methodology, synthesizing transaction cost theory, social capital, neuroeconomics, and contemporary trust literature. The article's primary contribution is formalizing the shift in trust's position from a dependent variable to an ontological gateway in marketing decision-making. Marketing 0.0 is positioned not as a stage in marketing evolution, but rather as a conceptual ground zero that enables continuous tactical adaptation without reliance on pseudo-novelty. The article concludes with theoretical and practical implications for the development of marketing science in an era of uncertainty and information saturation.

This study develops an architectural design framework integrating fun and playful spatial characteristics with futuristic, science-based approaches to enhance children’s engagement with science and technology learning. Traditional learning environments are often rigid and fail to stimulate curiosity, especially among children aged 7–11. Utilizing a qualitative conceptual analysis, this research synthesizes architectural theory, neuroscience learning principles, children’s spatial psychology, and science-based design methodologies. The results show that playful spatial elements—dynamic forms, color contrasts, sensory interactions, and imaginative environments—significantly improve motivation, exploration, and conceptual understanding. Futuristic design components further support scientific literacy by projecting technological possibilities and integrating interactive digital tools. The study produces a conceptual architectural model linking playfulness, scientific experience, and future-oriented visualization. It concludes that learning environments must be intentionally designed to merge emotional engagement, cognitive stimulation, and technological representation. The implications extend to the design of children’s museums, science centers, and early STEM learning facilities.

Indonesia's rich natural resources offer immense potential for tourism development, with various locations evolving into popular tourist destinations. Kledung Pass, with its stunning views of three mountains, is an attractive stopover for travelers heading to cities across Java. Despite its popularity, however, there is no clear technical framework for designing rest areas in such locations. This study addresses the gap by proposing a new concept that reimagines rest areas as tourist destinations, providing brief yet meaningful stops for travelers. The research conducted surveys with road users to understand their rest needs while traveling. It focused on identifying key factors influencing the need for rest from a neuroscience perspective, considering both the physiological and psychological aspects. These findings were analyzed using William Peña’s space programming theory to develop appropriate design standards. The results indicated two main factors driving the need for temporary stopovers: physical fatigue from long journeys and emotional boredom. These findings underscore the necessity for spaces that cater to both physical relaxation and mental rejuvenation, creating a more holistic rest area experience. The proposed design standards move beyond traditional rest areas, integrating recreational features to enhance user experience. The design that considers the effective zoning layout and the use of environmentally friendly materials is expected to be able to create an economically efficient rest area, while providing a positive experience that is environmentally friendly. Overall, planning non-toll rest areas with neuroarchitectural principles can create functional rest areas that support mental health, as well as strengthen Indonesia's tourism appeal through sustainable and highquality space experiences.

Background: Low back pain (LBP) is one of the most common musculoskeletal problems that affect the quality of life and productivity of individuals. LBP lasting more than 12 weeks is categorized as chronic LBP and often has no specific cause. Core stability exercise (CSE) is one of the effective rehabilitation methods in managing pain and disability in chronic LBP patients. Objective: This review aims to evaluate the effectiveness of CSE in reducing pain in patients with chronic LBP based on a literature review. Methods: This study used the literature review method by reviewing various relevant studies related to CSE and chronic LBP. Data sources were obtained from databases such as PubMed, ScienceDirect, Google Scholar, and PEDro. Articles used had inclusion criteria in the form of randomized controlled trial (RCT) studies published in the last 10 years (2014-2024), in English, and involving patients with non-specific chronic LBP. Article quality assessment was conducted using the PEDro scale. Results: From the analysis of eight articles that met the inclusion criteria, it was found that CSE has significant effectiveness in reducing pain in patients with chronic LBP. The mean visual analogue scale (VAS) score showed a greater reduction in the group undergoing CSE compared to the control group or other therapeutic methods. Moreover, the combination of CSE with adjunctive therapies such as pain neuroscience education (PNE), interferential therapy (IFC), and myofascial release technique (MRT) showed better results in reducing pain and improving postural stability and physical function. Conclusion: CSE can be an effective rehabilitation method to reduce pain and improve core muscle stability in patients with chronic LBP. Combination with other therapies may provide more optimal results.

This study aims to analyze the effect of work motivation, neuroscience factors, emotional intelligence, and job type on employee performance. This research uses quantitative methods with multiple linear regression approaches. Data was collected from 100 respondents who work in various industrial sectors. The results showed that emotional intelligence and work motivation have a significant influence on employee performance, while neuroscience factors and job type did not show a significant influence. The F-test yields a value of 21,795 with a significance of 0.000, which indicates that simultaneously, the independent variables in this model have a significant effect on employee performance. The R-Square value of 0.479 indicates that 47.9% of the variation in employee performance can be explained by the variables used in the model, while 52.1% is explained by other factors outside this model.  The results of this study indicate that companies need to improve employees' work motivation and emotional intelligence to optimize their performance. In addition, this study recommends exploring additional variables that may affect employee performance to improve the accuracy of the prediction model.

The human brain is a highly complex system whose dynamics cannot be fully understood through a single disciplinary perspective. This study aims to examine the synchronization of neural networks by combining theoretical physics, neuroscience, and computational methods. The research employed two main approaches: computer simulations based on the Kuramoto oscillator model and empirical analysis of electroencephalography (EEG) data. The simulation modeled neural activity using a graph-theoretical framework, while EEG analysis provided time-series data of brainwave patterns. Both results were compared to validate the accuracy of the model. Findings show that synchronization levels from simulations closely resemble EEG data, with only minor differences across various frequency conditions. Notably, both results revealed a tendency for stronger synchronization at higher frequencies, indicating a collective mechanism of neural coordination. These results demonstrate that physics-based models can effectively represent biological phenomena, while empirical data ensures that the findings remain grounded in real neural dynamics. The integration of theoretical and empirical approaches highlights the importance of interdisciplinary collaboration in studying brain complexity. This research not only contributes to a deeper scientific understanding but also opens potential applications in neuroscience, clinical diagnostics, and computational modeling. Overall, the study reinforces that interdisciplinary frameworks are essential for bridging abstract theories with biological realities.

Technological developments in the 21st century have had a significant impact on various fields, including education. This study examines the effectiveness of the use of Augmented Reality (AR)-based learning media integrated with neuroscience and Qur'anic values in improving students' understanding of physics and spiritual attitudes in the Society 5.0 era. The research was conducted in two Islamic-based schools, namely SMA Darussalam Blokagung and MA Al-Amiriyyah Blokagung, using quantitative methods with pre-test and post-test. The results showed that AR learning media significantly improved students' understanding of physics concepts and spiritual attitudes, as evidenced by the difference in pre-test and post-test scores as well as the results of the N-Gain test which showed the effective category, with an average N-Gain score of 77.12% at SMA Darussalam Blokagung and 76.05% at MA Al-Amiriyyah Blokagung. In addition, students' spiritual attitudes also increased with the average questionnaire score showing the category of "Very Good". This study concludes that the integration of AR technology in learning is effective in improving academic understanding and the development of students' spiritual character.

Neuroparenting is a neuroscience-based parenting approach that emphasizes the importance of stimulating children's brain development through warm communication, play, and emotional parental involvement. This study aims to describe the implementation of Neuroparenting in stimulating early childhood intelligence through positive interactions at home. This study used a qualitative approach with a descriptive research type. The subjects were parents of children aged 4–6 years. Data collection techniques were carried out through observation, in-depth interviews, and documentation. Data analysis used the Miles and Huberman model, which includes data reduction, data presentation, and drawing conclusions. The results of the study indicate that the application of Neuroparenting through warm communication, playing together, reading stories, providing positive affirmations, and involving children in daily activities can help the development of language, cognitive, social-emotional, creativity, and self-confidence. Children who receive positive stimulation consistently appear more active in speaking, easily express opinions, and are better able to interact with their surroundings. Based on the results of the study, it can be concluded that Neuroparenting through positive interactions at home is an effective parenting approach in supporting the optimal development of early childhood intelligence.

Education is a creative endeavor and an absolute necessity for human beings. character. This cannot be separated from the role of parents and teachers. parent first Teacher, character development is not only during childbirth, but during pregnancy uterus. Moreover, teachers, especially in primary schools, have the same obligations. in character building. In doing so, teachers must use brain-based characters Educational Approach (Neuroscience). The reason is the success of character building Start by changing the brains of your students. When brain-based character building is applied From an early age, Indonesian education is of higher quality, We can prepare high quality Golden Generation 2045. This survey uses qualitative research Based on a literature survey. Based on the results of research, this quality was established Education is an education that can shape the character of a student. Character Education is changing, so using a brain (neuroscience) approach is more effective Characters start by changing the brains of students.