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Articles 91 - 95 of 95
Full-Text Articles in Risk Analysis
Relationship Between Microbial And Chemical Risk After Chlorination Of Domestic Wastewater For Discharge And Reclamation, Rotsathon Plumsut
Relationship Between Microbial And Chemical Risk After Chlorination Of Domestic Wastewater For Discharge And Reclamation, Rotsathon Plumsut
Chulalongkorn University Theses and Dissertations (Chula ETD)
Disinfection is crucial for protecting public health during wastewater reuse. Chlorination is a widely used disinfection method, but it also leads to the formation of disinfection byproducts (DBPs), which can pose environmental and health risks. Among these DBPs, haloacetonitriles (HANs), particularly dichloroacetonitrile (DCAN), are of significant concern due to their toxicity. This research investigated the relationship between microbiological and chemical risks associated with chlorination in secondary and tertiary wastewater treatment plants (WWTPs) in Bangkok. The study found that secondary wastewater (9.0-14.0 mg/L) required up to 10 times higher initial chlorine levels to achieve the same norovirus reduction levels (3-5 log …
Silica Dust Exposure Assessment Using Job-Exposure Matrix:A Case Of Sandstone Workers In Thailand, Chamaiphon Chari
Silica Dust Exposure Assessment Using Job-Exposure Matrix:A Case Of Sandstone Workers In Thailand, Chamaiphon Chari
Chulalongkorn University Theses and Dissertations (Chula ETD)
Respirable crystalline silica (RCS) has been classified as a human carcinogen by the International Agency for Research on Cancer (IARC). In Thailand, household sandstone workers were one of the most susceptible occupational groups to silicosis. However, a lack of current information about their work patterns and job-related exposures to respirable crystalline silica could hinder the success of tracking and surveillance programs. This study was conducted to explore working characteristics and patterns, and to evaluate the work diary data in the estimation of RCS exposure and health risk among household sandstone workers. All data were collected from a work diary record …
Ai And Ml-Based Risk Assessment Of Chemicals: Predicting Carcinogenic Risk From Chemical-Induced Genomic Instability, Ajay Vikram Singh, Preeti Bhardwaj, Peter Laux, Prachi Pradeep, Madleen Busse, Andreas Luch, Akihiko Hirose, Christopher J. Osgood, Michael W. Stacey
Ai And Ml-Based Risk Assessment Of Chemicals: Predicting Carcinogenic Risk From Chemical-Induced Genomic Instability, Ajay Vikram Singh, Preeti Bhardwaj, Peter Laux, Prachi Pradeep, Madleen Busse, Andreas Luch, Akihiko Hirose, Christopher J. Osgood, Michael W. Stacey
Biological Sciences Faculty Publications
Chemical risk assessment plays a pivotal role in safeguarding public health and environmental safety by evaluating the potential hazards and risks associated with chemical exposures. In recent years, the convergence of artificial intelligence (AI), machine learning (ML), and omics technologies has revolutionized the field of chemical risk assessment, offering new insights into toxicity mechanisms, predictive modeling, and risk management strategies. This perspective review explores the synergistic potential of AI/ML and omics in deciphering clastogen-induced genomic instability for carcinogenic risk prediction. We provide an overview of key findings, challenges, and opportunities in integrating AI/ML and omics technologies for chemical risk assessment, …
Improving Risk Governance Strategies Via Learning: A Comparative Analysis Of Solar Radiation Modification And Gene Drives, Khara Grieger, Jonathan B. Wiener, Jennifer Kuzma
Improving Risk Governance Strategies Via Learning: A Comparative Analysis Of Solar Radiation Modification And Gene Drives, Khara Grieger, Jonathan B. Wiener, Jennifer Kuzma
Faculty Scholarship
Stratospheric aerosol injection (SAI) and gene drive organisms (GDOs) have been proposed as technological responses to complex entrenched environmental challenges. They also share several characteristics of emerging risks, including extensive uncertainties, systemic interdependencies, and risk profiles intertwined with societal contexts. This Perspective conducts a comparative analysis of the two technologies, and identifies ways in which their research and policy communities may learn from each other to inform future risk governance strategies. We find that SAI and GDOs share common features of aiming to improve or restore a public good, are characterized by numerous potential ecological, societal, and ethical risks associated …
Bridging Evolutionary And Bayesian Optimization For Enhanced Safety Verification In Control Systems, Joshua M. Yancosek
Bridging Evolutionary And Bayesian Optimization For Enhanced Safety Verification In Control Systems, Joshua M. Yancosek
Graduate Theses, Dissertations, and Problem Reports (ETD)
The rigorous safety verification of control systems in critical applications is essential, given their in creasing complexity and integration into everyday life. Simulation-based falsification approaches play a pivotal role in the safety verification of control systems, particularly within critical applications. These methods systematically explore the operational space of systems to identify configurations that result in violations of safety specifications. However, the effectiveness of traditional simulation based falsification is frequently limited by the high dimensionality of the search space and the sub stantial computational resources required for exhaustive exploration. This thesis presents Bayesian Evolutionary Approach for COuNterexample, or BEACON, a novel …