Claim Missing Document
Check
Articles

Found 2 Documents
Search

Machine Learning-Based CO2 Hydrogenation to High-Value Green Fuels: A Comprehensive Review for Computational Assessment Ahmed, Muhammad; Latif, Rukhsar; Seher, Shabaz; Sajjad, Rida; Hussain, Tariq; Islam, Muhammad Raza; Waleed, Abdul
ASEAN Journal for Science and Engineering in Materials Vol 3, No 2 (2024): AJSEM: Volume 3, Issue 2, September 2024
Publisher : Bumi Publikasi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The biggest candidate for climate change is the emission of CO2 during the burning of fossil fuels and researchers are trying to capture this CO2 efficiently and utilization effectively. This review highlights the parametric effects on conversion, utilization, and selectivity in CO2 hydrogenation via the Fischer-Tropsch method using various catalysts. Collecting the data from reported studies as datasets for quantum mechanical-based simulation software such as DFT and Monte Carlo were employed to probe the characteristics of catalysts, the discovery of novel catalysts, theoretical models for utilization of catalysts and parameters for CO2 hydrogenation such as operational, catalyst information, and mass transfer. Two syntheses such as methanol and methane were studied extensively via machine learning techniques. How artificial intelligence can help experimentalists for finding new catalysts has been discussed and how one can understand the catalytic features in a better way. Furthermore, the key challenges in CO2 hydrogenation technology and future directions based on artificial intelligence have been discussed thoroughly.
Etika Bisnis dan Tanggung Jawab Sosial Rumah Sakit dalam Pengelolaan Dampak Lingkungan: Tinjauan Sistematis Ahmed, Muhammad; Supriyadi, Supriyadi; Redjeki, Finny; Delima, Mera
Jurnal Akademika Baiturrahim Jambi Vol. 14 No. 2 (2025): September
Publisher : Universitas Baiturrahim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36565/jab.v14i2.963

Abstract

Hospitals, as healthcare service providers, hold a strategic role in ensuring the quality of care while simultaneously facing challenges as business institutions that must carry moral and social responsibilities. Operational activities, such as medical waste management, energy consumption, and the use of chemicals, have the potential to negatively impact the environment. This study aims to examine the relationship between business ethics and Corporate Social Responsibility (CSR) in hospital management, with the expected output being the identification of implementation strategies that support environmental sustainability. The method employed was a literature review analyzing recent studies related to business ethics, CSR, and environmental management practices in hospitals. The findings indicate that applying ethical values such as honesty, responsibility, fairness, and environmental concern, combined with CSR practices through proper waste management, emission reduction, and community education, strengthens hospitals’ commitment to environmental issues. In conclusion, consistent application of business ethics and CSR not only enhances hospital reputation and public trust but also contributes significantly to sustainable development.