Article Per Year (5 Year)
p-Index From 2021 - 2026
1.456
P-Index
This Author published in this journals
All Journal World Psychology Journal of Computer Science Advancements Research Psychologie, Orientation et Conseil Journal of Tecnologia Quantica Journal of Loomingulisus ja Innovatsioon Research of Scientia Naturalis Journal of Biomedical and Techno Nanomaterials Journal of Social Entrepreneurship and Creative Technology
Ren Suzuki
Nagoya University
Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Education Environmental Science Law, Crime, Criminology & Criminal Justice Physics Social Sciences Other

Published : 9 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 9 Documents
Search

 1 
DIGITAL CREATIVITY AND SOCIAL VALUE CREATION: ENTREPRENEURIAL STRATEGIES IN TECHNOLOGY-DRIVEN COMMUNITIES Eko Cahyo Mayndarto; Ren Suzuki; Miku Fujita; Indra Dermawan
Journal of Social Entrepreneurship and Creative Technology Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jseact.v3i2.3631

Abstract

The rise of digital technologies has revolutionized entrepreneurial strategies, enabling the integration of creativity into business models that address social challenges. Digital creativity is now a vital tool for fostering social value in technology-driven communities. This research explores how entrepreneurs leverage digital creativity to create social value, focusing on sectors such as health, sustainability, and cultural preservation. The study aims to investigate the relationship between digital creativity and social value creation within entrepreneurial strategies. A qualitative approach was employed, utilizing case studies, semi-structured interviews, and document analysis of 10 digital platforms from various technology-driven sectors. The findings reveal that digital creativity not only contributes to business success but also facilitates community engagement, empowerment, and the development of social initiatives. Platforms with a focus on transparency and active community participation showed higher levels of social value creation, particularly in health and sustainability sectors. The study concludes that digital creativity in entrepreneurial strategies is an effective driver of social change and can contribute to sustainable development. Furthermore, the research emphasizes the importance of balancing profit with social impact, offering a framework for integrating digital creativity into business practices for broader societal benefits.
SOCIALIZATION AND IDENTITY FORMATION: A DEVELOPMENTAL PERSPECTIVE IN THE DIGITAL AGE Ethan Tan; Marcus Tan; Ren Suzuki
Research Psychologie, Orientation et Conseil Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rpoc.v3i1.3537

Abstract

In the digital age, socialization processes and identity formation have become increasingly intertwined with digital platforms and technologies. The digital environment presents new opportunities and challenges in the development of self-concept and social interactions, which have significant implications for various developmental stages. However, there is limited research exploring how digital spaces influence identity formation, especially from a developmental perspective. This study aims to investigate how digital socialization processes impact identity formation across different age groups and developmental stages, focusing on the interaction between online and offline environments. A mixed-methods approach was employed, combining quantitative surveys and qualitative interviews with individuals from diverse age groups. The survey explored the frequency and nature of digital interactions, while the interviews provided in-depth insights into personal experiences with identity formation in digital spaces. The findings reveal that digital platforms significantly influence self-concept and identity development, with younger individuals more likely to engage in self-exploration through digital spaces. Digital socialization plays a critical role in identity formation, particularly in adolescence and early adulthood. Future research should focus on how digital interactions shape identity development over time and across different cultural contexts.
Quantum Simulation of Complex Molecular Dynamics Using Quantum Annealing Haruka Sato; Ren Suzuki; Miku Fujita
Journal of Tecnologia Quantica Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i5.1684

Abstract

Quantum simulation of complex molecular dynamics using quantum annealing has great potential to solve complex and complex molecular simulation problems. Quantum annealing, which optimizes the search for solutions in the energy space by utilizing quantum phenomena, offers advantages in speeding up the simulation process compared to classical methods. This study aims to explore the use of quantum annealing in complex molecular simulations, focusing on its effectiveness in finding molecular configurations with minimum energy. The method used involves simulation experiments using quantum annealing hardware and comparing the results with classical simulations. The results show that quantum annealing can improve computational time efficiency and produce more accurate solutions on large molecules with complex interactions. Although there are some limitations of current quantum hardware, the results of this study show the great potential for the use of quantum annealing in molecular dynamics simulations. Further research needs to be focused on improving quantum hardware and developing more advanced algorithms to support more complex molecular simulations.
Developing a Creative Curriculum to Cultivate Elementary School Students’ Interest in Learning Sota Yamamoto; kaito Tanaka; Ren Suzuki
Journal of Loomingulisus ja Innovatsioon Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/innovatsioon.v1i5.1712

Abstract

The interest in learning among elementary school students is a critical factor in shaping their academic success and lifelong learning attitudes. However, traditional teaching methods often fail to engage students, leading to a decline in their enthusiasm for learning. This study aims to develop a creative curriculum designed to cultivate elementary school students’ interest in learning by incorporating interactive and student-centered learning activities. The research employs a mixed-methods approach, combining qualitative data from classroom observations and interviews with teachers and students, along with quantitative data from pre- and post-intervention surveys measuring student engagement and interest in learning. The findings suggest that the implementation of a creative curriculum significantly increased students’ interest in learning across various subjects, with noticeable improvements in student participation, curiosity, and motivation. Teachers also reported higher levels of engagement and enthusiasm during lessons. This study concludes that a creative curriculum can effectively enhance students’ interest in learning by fostering a more dynamic, interactive, and personalized learning environment. The implications of this research highlight the importance of adopting innovative teaching strategies to ensure that students develop a lasting interest in their education.
EXPLORING LEADERSHIP STYLES AND EMPLOYEE WELL-BEING: A CROSS-CULTURAL PERSPECTIVE IN MULTINATIONAL CORPORATIONS Puspita Puji Rahayu; Ren Suzuki; Sota Yomamoto
World Psychology Vol. 5 No. 2 (2026)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/wp.v5i2.1244

Abstract

In multinational corporations (MNCs), leadership styles play a pivotal role in shaping employee well-being, which in turn influences organizational performance. However, the impact of leadership on employee well-being varies significantly across different cultural contexts. This study explores how various leadership styles—transformational, transactional, and laissez-faire—affect employee well-being within MNCs operating in diverse cultural settings. The primary objective is to examine the relationship between leadership styles and employee well-being across four regions: North America, Europe, Asia, and the Middle East. A mixed-methods approach was employed, combining quantitative surveys (300 employees) and qualitative interviews (30 managers) to gather comprehensive data on leadership styles and employee well-being. The results indicate that transformational leadership is positively correlated with high employee well-being, particularly in individualistic cultures, while transactional leadership shows a weaker association with well-being in more collectivist cultures. The study also highlights significant regional differences in leadership perceptions and their impact on employee engagement and job satisfaction. This research underscores the importance of culturally adaptive leadership practices and provides practical implications for MNCs seeking to optimize employee well-being across diverse workforces.
THE QUBIT PARADOX: WHY MORE QUBITS ACTUALLY LOWER ERROR RATES? Miku Fujita; Ren Suzuki; Daiki Nishida
Journal of Computer Science Advancements Vol. 3 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v3i5.3329

Abstract

Physical qubits intuitively introduces greater cumulative noise and control complexity. This “Qubit Paradox” presents a fundamental barrier to scalability, suggesting that larger systems might become inherently less stable. This research aims to rigorously validate the threshold theorem, defining the precise boundary where topological protection overcomes physical noise accumulation. We utilized high-fidelity Monte Carlo simulations of Rotated Surface Codes, scaling from distance d=3 to d=9, under realistic circuit-level noise models including leakage and crosstalk. Decoding was executed using the Minimum Weight Perfect Matching (MWPM) algorithm to analyze logical failure rates across 109 error correction cycles. Results identify a critical physical error threshold of approximately 0.57%. Below this value, logical error rates exhibited exponential suppression via power-law decay, reducing by seven orders of magnitude at distance-9. Conversely, systems operating above this threshold demonstrated error amplification with increased scale. We conclude that the paradox resolves only when individual gate fidelity surpasses the threshold, mandating that hardware optimization must precede quantitative scaling. These findings establish a validated roadmap for the transition from the NISQ era to fault-tolerant architecture.
MOLECULAR SIGNATURES OF ENVIRONMENTAL EXPOSURE: A BIOMOLECULAR APPROACH TO ECOSYSTEM HEALTH ASSESSMENT Muhammad Hazmi; Ren Suzuki; Jaden Tan; Tim Bauer
Research of Scientia Naturalis Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v3i1.3469

Abstract

Escalating environmental pollution and climate-related stressors necessitate sensitive and mechanistically grounded tools for assessing ecosystem health. Traditional ecological indicators often detect degradation only after substantial biological damage has occurred, limiting early intervention capacity. Molecular signatures derived from multi-omics technologies offer high-resolution insight into sublethal biological responses to environmental exposure. This study aims to identify and validate integrated molecular signatures associated with contaminant gradients and to evaluate their predictive capacity for ecosystem health assessment across aquatic environments. A multi-site cross-sectional design was implemented involving 180 sentinel organisms collected along defined pollution gradients. Transcriptomic, proteomic, and metabolomic profiling was conducted using high-throughput sequencing and mass spectrometry platforms. Multivariate statistical modeling, including principal component analysis and structural equation modeling, was applied to link molecular perturbations with contaminant concentrations and ecological indices. Significant increases in differentially expressed genes, altered protein abundance, and metabolite perturbation indices were observed in high-exposure sites (p < 0.001). Molecular signatures accurately classified exposure categories with 91% predictive accuracy and significantly predicted biodiversity decline (? = –0.68, p < 0.001). Integrated multi-omics molecular signatures provide sensitive, early-warning indicators of ecosystem impairment, enabling mechanistic linkage between environmental exposure and ecological degradation.
AGRICULTURAL SUSTAINABILITY UNDER CLIMATE VARIABILITY: COUPLING CROP PHYSIOLOGY WITH PREDICTIVE STATISTICAL MODELS Ren Suzuki; Samantha Gonzales; Oliver Harris
Research of Scientia Naturalis Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v3i1.3547

Abstract

Agricultural systems are increasingly challenged by climate variability, which disrupts crop productivity and threatens long-term sustainability. Existing approaches often separate physiological understanding from predictive modeling, limiting their ability to capture the complexity of crop responses to environmental stress. This study aims to develop an integrative framework that couples crop physiological processes with predictive statistical models to improve the accuracy and interpretability of agricultural sustainability assessments. A mixed-methods design was employed, combining field-based physiological measurements with advanced statistical and machine learning modeling. Data were collected across multiple agricultural sites, including climatic variables, soil conditions, and key physiological indicators such as photosynthetic rate, stomatal conductance, and water-use efficiency. Predictive models were developed and evaluated using regression analysis and machine learning techniques with cross-validation procedures. Results indicate that models incorporating physiological variables significantly outperform those based solely on climatic data in predicting crop yield. Physiological indicators function as critical mediators between environmental stress and productivity, enhancing both predictive accuracy and explanatory depth. Nonlinear modeling approaches further improve performance by capturing complex interactions among variables. Findings demonstrate that integrating crop physiology with predictive modeling provides a robust framework for understanding and managing agricultural systems under climate variability. This approach supports more adaptive and sustainable agricultural strategies.
ADVANCED NANOCARRIERS FOR CONTROLLED DRUG AND GENE DELIVERY IN CHRONIC DISEASES Ren Suzuki; Daiki Nishida; Nila Trisna Yulianti
Journal of Biomedical and Techno Nanomaterials Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v3i2.3585

Abstract

Chronic diseases such as cancer, cardiovascular diseases, and neurodegenerative disorders pose significant treatment challenges due to their complexity and resistance to conventional therapies. Nanocarriers, as advanced drug and gene delivery systems, offer a promising solution to address these challenges by providing controlled release, improved targeting, and enhanced therapeutic efficacy. The ability to design nanocarriers that are biocompatible, stable, and capable of precise targeting to diseased tissues holds potential for revolutionizing the treatment of chronic diseases. This study aims to explore the design, development, and evaluation of advanced nanocarriers for controlled drug and gene delivery in chronic diseases. The research focuses on evaluating the efficacy of various nanocarriers, including liposomes, dendrimers, and nanoparticles, in improving drug bioavailability, targeting precision, and therapeutic outcomes in chronic disease models. The research utilizes in vitro cell culture studies and in vivo animal models to assess the effectiveness of different nanocarriers. Characterization techniques, including dynamic light scattering (DLS), transmission electron microscopy (TEM), and drug release assays, are used to evaluate the properties and performance of the nanocarriers. The study demonstrates that advanced nanocarriers significantly improve drug delivery efficiency, reduce systemic toxicity, and enhance therapeutic outcomes in chronic disease models. Gene delivery using nanocarriers also shows promising results in terms of targeted therapy. Advanced nanocarriers are a promising tool for controlled drug and gene delivery, offering potential breakthroughs in the treatment of chronic diseases by improving precision and minimizing side effects.
Co-Authors Daiki Nishida Ethan Tan Haruka Sato Hazmi, Muhammad Indra Dermawan Jaden Tan Kaito Tanaka Marcus Tan Mayndarto, Eko Cahyo Miku Fujita Nila Trisna Yulianti Oliver Harris Puspita Puji Rahayu Samantha Gonzales Sota Yamamoto Sota Yomamoto Tim Bauer