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All Journal Journal of Computer Science Advancements Journal of Moeslim Research Technik Journal of Selvicoltura Asean Journal of Loomingulisus ja Innovatsioon Techno Agriculturae Studium of Research Journal of Biomedical and Techno Nanomaterials Journal of Social Entrepreneurship and Creative Technology Journal of Humanities Research Sustainability
Zhang Li
Peking University
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Other

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Development of Nanocellulose-Based Biomaterials from Agricultural Waste for Bone Tissue Regeneration Applications Chen Mei; Zhang Li; Zhou Hui
Journal of Biomedical and Techno Nanomaterials Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v1i4.1762

Abstract

Agricultural waste has great potential to be used as biomaterial raw materials that can be used in medical applications, especially for bone tissue regeneration. Nanocellulose, which is produced from natural cellulose, offers good mechanical properties and high biocompatibility. This research aims to develop nanocellulose-based biomaterials from agricultural waste for bone regeneration applications. The purpose of this study is to explore the potential of agricultural waste, such as rice straw, peanut husks, and corn leaves, in producing high-quality nanocellulose that can be used for applications in the field of bone tissue regeneration. This study uses an experimental design with a laboratory approach. Agricultural waste is treated through nanocellulose extraction using certain chemical techniques. Material characterization was carried out using scanning electron microscopy (SEM), X-ray diffraction (XRD), and Fourier-transform infrared spectroscopy (FTIR), as well as biocompatibility tests using osteoblast cell cultures. The results show that rice straw produces nanocellulose with the highest cellulose content (65%) and has optimal tensile strength and degradation time for bone tissue applications. Peanut husks and corn leaves also show good results, although not as good as rice straw. Agricultural waste, especially rice straw, has great potential to be used as a raw material for nanocellulose that can be used in bone tissue regeneration applications. This research opens up opportunities to develop more sustainable and affordable biomaterials for medical applications.
PERSONALIZED NANOMEDICINE APPROACHES ENABLED BY BIOINFORMATICS AND MACHINE LEARNING Zhang Li; Chen Mei; Wang Jing
Journal of Biomedical and Techno Nanomaterials Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v3i1.3559

Abstract

Personalized nanomedicine has emerged as a promising approach to tailor treatments to individual patients, enhancing therapeutic efficacy while minimizing side effects. The integration of bioinformatics and machine learning (ML) has the potential to revolutionize this field by enabling more precise and efficient drug delivery systems, biomarker identification, and therapeutic strategies. However, the full potential of these technologies in personalized nanomedicine remains underexplored. This study aims to explore how bioinformatics and machine learning can enable personalized nanomedicine approaches, particularly in the areas of drug delivery optimization, patient-specific treatment planning, and biomarker discovery. The research investigates the application of these technologies in identifying individualized treatment strategies and improving patient outcomes. A systematic review of the current literature on bioinformatics, machine learning, and personalized nanomedicine was conducted. Case studies and experimental research using these technologies were analyzed to identify trends, applications, and challenges. Machine learning models were applied to bioinformatics datasets to predict drug responses and optimize nanomedicine formulations. The study found that bioinformatics and ML significantly enhance the accuracy of drug efficacy predictions, biomarker identification, and the design of personalized nanomedicine treatments. Furthermore, these technologies have improved patient-specific therapy optimization in clinical trials. The combination of bioinformatics and machine learning holds great promise for advancing personalized nanomedicine, offering tailored therapeutic solutions that improve patient outcomes and treatment efficiency.
University-Industry Partnership in Encouraging Innovation in the Field of Creative Technology Chen Mei; Zhang Li; Zhou Hui
Journal of Social Entrepreneurship and Creative Technology Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jseact.v1i4.1730

Abstract

The increasing importance of innovation in the field of creative technology has prompted the need for stronger collaboration between universities and industries. These partnerships have become essential in bridging the gap between academic research and real-world applications, particularly in creative industries such as digital media, design, and technology. However, despite the potential benefits, the dynamics and effectiveness of university-industry partnerships in fostering innovation have not been fully explored. This research aims to examine how these partnerships encourage innovation within the creative technology sector, specifically focusing on the challenges, strategies, and outcomes of such collaborations. The study employs a mixed-methods approach, combining qualitative case studies of successful university-industry partnerships with quantitative surveys from stakeholders involved in creative technology ventures. Data were collected from universities, tech companies, and innovation hubs to assess the extent to which partnerships contribute to technological advancements, skill development, and economic growth in the creative technology sector. The findings reveal that university-industry partnerships play a crucial role in fostering innovation by providing access to cutting-edge research, resources, and a skilled workforce. These collaborations also help overcome challenges such as funding, market access, and technological expertise. However, the study also identifies barriers such as lack of communication, differences in organizational culture, and mismatched goals between academic institutions and industries. In conclusion, university-industry partnerships significantly contribute to innovation in creative technology but require a more structured approach to enhance their impact. Improving communication and aligning objectives are key to ensuring sustainable and effective collaboration.
The Philosophy of Consciousness: Understanding the Mind-Body Problem Nurlatipah Nurlatipah; Li Wei; Zhang Li
Journal of Humanities Research Sustainability Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jhrs.v1i5.1795

Abstract

Background. The background of this research is based on a long debate between dualism, which separates the mind as a non-physical entity, and materialism, which sees full consciousness as the result of physical processes in the brain. Purpose. The purpose of this study is to explore an integrative approach that tries to bring these two views together to provide a more comprehensive understanding of consciousness.    Method. The research method used is a qualitative approach with in-depth literature analysis, involving the thoughts of leading philosophers and neuroscientists. Results. The results show that the integrative approach has the potential to explain the subjective and physical aspects of consciousness simultaneously, without having to set aside one perspective. Conclusion. The conclusion of this study suggests that mind-body problems require a more cross-disciplinary and inclusive approach, which is able to bridge the gap between philosophy and neuroscience. These findings pave the way for more applicable follow-up research to test the validity of integrative approaches in a variety of practical contexts.
Co-Authors Ahmad Zarkasih Aldi Bastiatul Fawait Fawait Andres Villanueva Ardi Azhar Nampira Ardi Azhar Nampira Arnes Yuli Vandika Carlos Fernandez Chen Mei Indra Satriadi Krisna Natawijaya Li Wei Liu Yang Nurhayati Nurhayati Nurlatipah Nurlatipah Sara Hussain Sun Wei Wang Jing Wang Jun Yang Xiang Zhou Hui