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Research of Scientia Naturalis
Published by Yayasan Adra Karima Hubbi
ISSN : 30479932     EISSN : 30479940     DOI : 10.70177/scientia
Core Subject : Science, Agriculture,
Agriculture, Biological Sciences & Forestry Chemistry Physics
Research of Scientia Naturalis is an international forum for the publication of peer-reviewed integrative review articles, special thematic issues, reflections or comments on previous research or new research directions, interviews, replications, and intervention articles - all pertaining to the research fields of Mathematics and Natural Sciences. All publications provide breadth of coverage appropriate to a wide readership in Mathematics and Natural Sciences research depth to inform specialists in that area. We feel that the rapidly growing Research of Scientia Naturalis community is looking for a journal with this profile that we can achieve together. Submitted papers must be written in English for initial review stage by editors and further review process by minimum two international reviewers.
Arjuna Subject : Umum - Umum
Articles 5 Documents
 1 
Search results for , issue "Vol. 1 No. 3 (2024)" : 5 Documents clear
Mathematical Models for Climate Change Predictions and Mitigation Strategies Nofirman, Nofirman
Research of Scientia Naturalis Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v1i3.1568

Abstract

Climate change has emerged as a critical global issue, leading to rising temperatures, extreme weather events, and environmental degradation. Accurate predictions and effective mitigation strategies are essential for minimizing the impacts of climate change on ecosystems, economies, and human health. Mathematical models have proven to be valuable tools in understanding climate dynamics and forecasting future scenarios, enabling policymakers to make informed decisions. This study aims to develop and analyze mathematical models for predicting climate change patterns and evaluating potential mitigation strategies. The focus is on improving the accuracy of climate forecasts and identifying feasible solutions to reduce greenhouse gas emissions and global temperature rise. We employed a combination of differential equations, statistical analysis, and machine learning algorithms to construct climate models. Historical climate data were integrated with greenhouse gas emission projections to simulate future climate scenarios. Additionally, sensitivity analyses were conducted to assess the effectiveness of various mitigation strategies, including renewable energy adoption, carbon capture technologies, and reforestation efforts. The models demonstrate a high degree of accuracy in predicting temperature increases, sea level rise, and the frequency of extreme weather events. Mitigation strategies, particularly those focused on reducing carbon emissions through renewable energy and reforestation, showed significant potential in slowing down global temperature rise by up to 2°C by 2050 under certain conditions. Mathematical modeling provides a powerful approach to predicting climate change and assessing the effectiveness of mitigation strategies. Effective implementation of renewable energy and carbon capture technologies can substantially reduce future climate risks, offering a path toward stabilizing global temperatures.  
The Effect of Soil Compaction Methods on Building Stability in Earthquake Prone Areas Manurung, Edison Hatoguan; Farah, Rina; Anis, Nina
Research of Scientia Naturalis Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v1i3.1569

Abstract

Soil compaction plays a crucial role in determining the stability of structures, particularly in earthquake-prone regions. Inadequate compaction can lead to soil liquefaction and settlement, increasing the risk of structural failure during seismic events. Understanding the impact of different soil compaction methods is essential for enhancing building resilience. This study aims to evaluate the influence of various soil compaction techniques on the stability of buildings in earthquake-prone areas. It seeks to identify the most effective methods that can improve soil properties and overall structural integrity. A comparative analysis was conducted using laboratory experiments and field tests. Different compaction methods, including static, dynamic, and vibratory compaction, were applied to soil samples. The study measured parameters such as soil density, moisture content, and shear strength to assess the effects of each method on soil stability. The findings reveal that dynamic compaction significantly improves soil density and shear strength compared to static and vibratory methods. Structures built on dynamically compacted soil exhibited greater resilience to seismic forces, demonstrating lower risks of liquefaction and settlement during earthquakes. The research concludes that the choice of soil compaction method is vital for ensuring the stability of buildings in earthquake-prone regions. Dynamic compaction emerges as the most effective technique, providing enhanced soil properties that contribute to structural resilience. Future studies should explore the long-term effects of compaction methods and their implications for building codes and practices in seismic areas.
Innovation in Sustainable Construction Materials in Green Infrastructure Development A, Chevy Herli Sumerli; Wulan, Kartika Tunjung
Research of Scientia Naturalis Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v1i3.1570

Abstract

The construction industry significantly impacts environmental sustainability, prompting the need for innovative materials that minimize ecological footprints. Sustainable construction materials play a crucial role in the development of green infrastructure, aimed at enhancing urban resilience and promoting environmental conservation. This study aims to explore various innovative sustainable construction materials and their applications in green infrastructure projects. It seeks to identify the benefits and challenges associated with these materials in promoting eco-friendly building practices. A comprehensive literature review was conducted, analyzing recent advancements in sustainable construction materials, including recycled materials, bio-based composites, and smart materials. Case studies of successful green infrastructure projects utilizing these materials were examined to assess their effectiveness and sustainability. The findings reveal that innovative materials such as recycled concrete, bamboo, and mycelium composites significantly reduce carbon emissions and resource consumption. Case studies demonstrated improved energy efficiency and reduced waste in projects that employed these materials. Challenges related to cost, availability, and regulatory standards were also identified. The research concludes that the integration of innovative sustainable materials is vital for the advancement of green infrastructure. Emphasizing the benefits of these materials can lead to broader adoption in the construction industry. Future research should focus on overcoming the identified challenges and developing standardized guidelines to facilitate the use of sustainable materials in infrastructure projects
Innovations in Agricultural Biotechnology for Sustainable Crop Production Ulimaz, Almira; Yardani, Jesi; Widiyastuti, Dewi Amelia
Research of Scientia Naturalis Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v1i3.1571

Abstract

Global agriculture faces challenges such as climate change, soil degradation, and increasing food demand, necessitating innovative solutions for sustainable crop production. Agricultural biotechnology offers advanced tools to enhance crop resilience, improve yield, and reduce environmental impacts. This study aims to explore recent innovations in agricultural biotechnology, focusing on their potential to support sustainable crop production under diverse environmental conditions. The research employs a systematic literature review method, analyzing recent studies on genetic engineering, genome editing (CRISPR-Cas9), biofortification, and biopesticides. The review covers both laboratory and field trials to evaluate the effectiveness of these biotechnologies in improving crop traits such as drought tolerance, pest resistance, and nutritional quality. Key aspects considered include technological efficiency, scalability, and ecological impacts. Results indicate that innovations like CRISPR-Cas9 have significantly enhanced crop resilience, with increased drought tolerance and pest resistance observed in crops like maize, wheat, and rice. Biofortification has improved the nutritional quality of staple crops, addressing micronutrient deficiencies. The integration of biopesticides has reduced the reliance on chemical pesticides, contributing to more sustainable farming practices. The study concludes that agricultural biotechnology innovations hold significant promise for achieving sustainable crop production. However, their successful implementation requires supportive policies, farmer education, and ongoing research to ensure safety, scalability, and environmental compatibility. The findings highlight the need for a holistic approach to integrate biotechnological advancements into mainstream agriculture for long-term sustainability.
The Impact of Climate Change on Forest Ecosystems: A Biomolecular Perspective Chai, Nong; Pong, Ming; Kiat, Ton
Research of Scientia Naturalis Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v1i3.1572

Abstract

Climate change has emerged as one of the most significant environmental challenges of our time, profoundly affecting forest ecosystems worldwide. Recent studies have revealed that alterations in temperature, precipitation patterns, and atmospheric CO2 concentrations are causing unprecedented changes at the molecular level within forest organisms. Understanding these biomolecular responses is crucial for predicting and managing forest ecosystem resilience in the face of climate change. This study aimed to investigate the molecular mechanisms underlying forest species' adaptation to climate change and identify key biomarkers associated with stress response and resilience. The research employed a comprehensive approach combining transcriptomics, proteomics, and metabolomics analyses of various forest species across different climatic zones. Samples were collected from 20 forest sites over a three-year period, analyzing molecular responses to temperature fluctuations, drought stress, and elevated CO2 levels. Results demonstrated significant alterations in gene expression patterns related to heat shock proteins, antioxidant enzymes, and stress-responsive transcription factors. Notable changes were observed in metabolic pathways involved in carbon fixation, water use efficiency, and secondary metabolite production. The study identified 15 novel molecular markers associated with climate resilience in forest species. Furthermore, findings revealed distinct biomolecular adaptation strategies among different species and ecological niches. This research concludes that understanding molecular responses to climate change is essential for developing effective forest conservation strategies and predicting ecosystem adaptability. The identified molecular markers can serve as valuable tools for monitoring forest health and implementing targeted conservation measures in the face of ongoing climate change.

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