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Figure 1 - The synapsis checkpoint and the LIN-35/DREAM complex promote temperature stress induced increases in germline apoptosis in Caenorhabditis elegans
No full textTo be published in G3 in 202
Figure 4 - The synapsis checkpoint and the LIN-35/DREAM complex promote temperature stress induced increases in germline apoptosis in Caenorhabditis elegans
No full textTo be published in G3 in 202
Municipal Wastewater Treatment Using Ozone and Reverse Osmosis: Nutrient Removal
No full textOzonation and membrane treatment have been widely used in drinking water treatment all around the world; however, they are far less common in wastewater treatment. Typically, secondary wastewater treatment involves a biological process known as conventional activated sludge (CAS) to remove chemical oxygen demand (COD), nutrients, and other contaminants. CAS comes with an array of challenges, including long retention times, formation of waste activated sludge (WAS) and a need to dispose of it, potential sludge settling issues, and inability to easily adapt to changing wastewater composition. Most studies using ozonation for wastewater treatment involve using the process as tertiary treatment, usually in combination with other processes such as membrane filtration or biological treatment. The goal of this study was to evaluate ozonation and reverse osmosis (RO) as an alternative secondary treatment for municipal wastewater. Primary effluent from a local water resource recovery facility was ozonated for 180 minutes with samples taken every 30 minutes and analyzed for nutrient concentrations. Two applied ozone doses, 28.1 and 229 mg O3/L-min and three temperatures, 7, 22, and 34°C, were used to evaluate how temperature and ozone dose affect transformation and removal of nutrients during ozonation. The total nitrogen concentration did not change through ozonation, but ammonia was converted to nitrate during most tests. The higher ozone dose had more nitrification occur than the lower ozone dose. Additionally, as the temperature increased, nitrification increased as well. There was no significant phosphorus removal at 7°C, but there was removal at the other two temperatures. Total phosphorus was removed through precipitation, ostensibly due to a rise in pH from air stripping of CO2. The phosphorus likely precipitated out as calcium phosphate or other phosphate solids. Finally, the fate of nitrogen and phosphorus through an ozonation and RO process was evaluated and compared to CAS and RO. CAS/RO removed nitrogen and phosphorus better than ozone/RO. Both processes had total phosphorus concentrations of less than 0.05 mg/L P and total nitrogen concentrations below 2 mg/L after RO. Depending on nutrient permit limits, the ozone/RO process could be applicable in place of CAS for secondary treatment of municipal wastewater
Correlated Sampling of Parallel Partial and Linked Emulators for Geophysical Applications
No full textComputer models, or simulators, are mathematical representations of real world phenomena that, to run at new input settings, are often computationally intensive and prohibitively slow. Surrogate models, or emulators, provide a method of rapidly predicting simulator outputs with uncertainty at untested configurations by treating the computer model output as a single realization of a stochastic process, specifically a Gaussian Process (GP).In this dissertation, we consider three projects: Correlated Linked GP Emulation, Spatially Correlated Parallel Partial Emulation, and Optimizing the Zero-censored Gaussian Process with Spatially Correlated Sampling. First, the Correlated Linked Emulator, focuses on developing a model for the covariance of the linked GP. The linked GP emulator is a surrogate designed for composite functions. As of yet, the linked GP has not been framed as a true Gaussian process, only predicting at a single untested input as a Normal random variable. The covariance model we present allows the linked GP to be expressed as a Gaussian process, making correlated sampling possible for multiple untested inputs. Second, the Spatially Correlated Parallel Partial Emulator, is an extension of the parallel partial emulator (PPE). The PPE models simulators with vector-valued outputs in a highly efficient manner using a shared correlation structure with a distinct mean trend and scalar variance for each output component. Spatially correlated samples are one efficient mechanism to quantify uncertainty inherent in using a GP surrogate. Spatially correlated samples are not available from PPE, but can be now obtained using the process we propose in this chapter. Details of the construction and utilization of the spatially correlated PPE are presented and applied to applications with three pde-based simulators. Lastly, Optimizing the Zero-censored Gaussian Process with Spatially Correlated Sampling discusses the novel zero-censored Gaussian process, which was designed to enable Gaussian process predictions for simulators with constrained outputs, such as those with non-negative outputs. We introduce two methods for sampling it along an entire spatial dimension, rather than its previously offered point-wise sampling. Promising results from this study suggest that further optimization of these methods could greatly improve the uncertainty predictions in geophysical problems with constrained outputs
Mark Zuckerberg on AI Glasses, Superintelligence, Neural Control, and More
No full texthttps://epublications.marquette.edu/zuckerberg_files_videos/1470/thumbnail.jp
The Stigma Attached to Disability is an Anathema to Religion
Get PDFThe “Gendered Disabilities” project is aimed at highlighting the need to support people with disabilities and the Muslim families caring for such persons. The project is rooted in the belief that every individual is equal regardless of the specific set of abilities they are able to utilize in life. Our abilities do not define us who we are as human beings, and our disabilities should not diminish our sense of self. Each person regardless of what he/she is able to do, has the right to live fully and free from stigma
Broadening the Evidentiary Basis for Clinical Practice Guidelines: Recommendations from Qualitative Psychotherapy Researchers
Get PDFTo improve the provision of psychotherapy, many countries have now established clinical practice guidelines for the treatment of specific disorders and mental health concerns. These guidelines have typically been based on evidence from meta-analyses of randomized clinical trials with minimal consideration of findings from qualitative research designs. This said, there has been growing interest in incorporating qualitative research in guideline development processes from both stakeholders and guideline development bodies. In this international collaboration, 19 qualitative psychotherapy researchers from 10 countries articulated the benefits of including qualitative findings within the guideline development process and generated recommendations for guideline developers. The underlying question of this report was “Why and how should qualitative research be used in efforts to develop guidance for psychotherapy practice?” The advantages of reviewing qualitative findings included the ability to identify treatment patterns at the level of in-session dynamics, cultural contexts, interpersonal relationships, and internal experiences, thereby creating guidance that is responsive to clients’ needs in the moment-to-moment therapy process. Recommendations are offered at the systemic level (e.g., guideline formation processes, methods of education, research funding priorities). Also, methodological advice is offered for guideline developers when selecting to incorporate qualitative research in the implementation of an expanded guideline development process
A New Model for Educational Program Assessments Using Automated Collective Concept Maps
No full textThis paper presents: Epistemological principles; the origins and theoretical foundations of concept maps; the current state of related works; the contributions, methods, results, and future road map of this research; and A New Model for Educational Program Assessments. An understanding that knowledge results from an evolution of cognitive structures enables a scientific approach to enhance the efficiency of learning. Building on prior works, this research provides a novel algorithm and tool to automatically create Collective Concept Maps from Individual Concept Maps by utilizing a dictionary, thesaurus, Natural Language Processing, Machine Learning / Artificial Intelligence, and domain expertise. Abstraction Filters enable rapid and accurate analysis of learning effectiveness at both the group and individual level. This research serves as the foundation for Longitudinal Studies in A New Model for Educational Program Assessments