18701 research outputs found
Sort by
Testing a Sewage Treatment Plant Model for Chemicals of Concern Including Ionizable Substances
Get PDFABSTRACT When new chemicals are created or introduced to the market in countries around the world, most of them require that these chemicals be assessed for their treatability in sewage treatment plants (STPs). In this study, the expanded version of the STP model (the STP-EX model) is tested for its ability to predict the fate of chemicals of concern. The STP-EX model is algebraically simple, robust and is used for screening level assessment. Inputs for the model include the influent wastewater characteristics, chemical properties and the plan operating parameters. The model predicted sludge-water partition coefficient and the biodegradation constant are the 2 uncertain parameters in this study. The process used to estimate these 2 parameters are also elucidated. A group of 16 pharmaceuticals including 8 acidic, 6 basic, and 2 amphoteric are considered in this study. They were run in the model and a sensitivity analysis was conducted to determine what input parameters affect the removal of the chemical from the plant. The results show that the STP-EX model is an advantageous tool for the prediction of the sludge water partition coefficient for ionizing acids and bases
Dandelion root and lemongrass extracts induce apoptosis, enhance chemotherapeutic efficacy, and reduce tumour xenograft growth in vivo in prostate cancer
No full textViable, Healthy and Safe CommunitiesDandelion root and lemongrass extracts induce apoptosis, enhance chemotherapeutic efficacy, and reduce tumour xenograft growth in vivo in prostate cancer Christopher Nguyen1, Ali Mehaidli1, Kiruthika Baskaran1, Sahibjot Grewal1, Alaina Pupulin1, Ivan Ruvinov1, Benjamin Scaria1, Krishan Parashar1, Caleb Vegh1, Siyaram Pandey1* 1Department of Chemistry and Biochemistry, University of Windsor, Windsor, Ontario N9B 3P4, Canada Many conventional chemotherapies have indicated side effects due to a lack of treatment specificity and are thus not suitable for long-term usage. Natural health products are well-tolerated and safe for consumption, and some have pharmaceutical uses particularly for their anti-cancer effects. The anti-cancer efficacy of dandelion (Taraxacum officinale) root and lemongrass (Cymbopogon citratus) extracts on prostate cancer and their interactions with standard chemotherapeutics has not been studied to determine if they will be suitable for adjuvant therapies. If successful, these extracts could potentially be used in conjunction with chemotherapeutics to minimize the risk of drug-related toxicity and enhance the efficacy of the treatment. We have demonstrated that both dandelion root extract (DRE) and lemongrass extract (LGE) exhibit selective anti-cancer activity. Importantly, DRE and LGE addition to the chemotherapeutics taxol and mitoxantrone was determined to enhance the induction of apoptosis when compared to individual chemotherapy treatment alone. Further, DRE and LGE were able to significantly reduce the tumour burden in prostate cancer xenograft models when administered orally, while also being well-tolerated. Thus, the implementation of these well-tolerated extracts in adjuvant therapies could be a selective and efficacious approach to prostate cancer treatment
The impact of local government action on climate change : The City of Athens and the Town of Tecumseh
Get PDFClimate change is undoubtedly one of the biggest environmental threats of the twenty-first century. Recent developments have shown that we are highly vulnerable to climate change. Climate change is predicted to have harmful, and permanent consequences on the planet and the entire environment. Yet federal and national governments around the world are struggling to formulate policy initiatives to slow down or become resilient against the changes in the climate. The research goal of this paper is to understand the impact of local governments/municipalities on climate change and why their inclusion in the conversation on climate change response is important. Local government control of areas that include energy-use, land-use planning, waste and wastewater, disaster response, and transport makes them well-positioned to tackle climate change. The impact of municipal governments on climate change are examined through US and Canadian case studies. Specifically, the paper examines the City of Athens, Ohio and the Town of Tecumseh, Ontario. The size, geography, population and the federal structure of the City of Athens and the Town of Tecumseh makes them comparable case studies for this study. The emergence of voluntary official plans by both municipalities despite the lack of guidance from federal and national governments demonstrate that local governments can be relied upon as an integral player in tackling climate change. This paper finds that local governments should be included in a multi-level approach to climate change to force more local progress and influence future action on regional, state, and national climate change
"On Γίγνων"
No full textAbstract for On Γίγνων
This paper will examine C.D.C. Reeve’s use of ἄγαλμα as a birth metaphor in the dialogue the Symposium, and compare it to the other birth metaphors as found in the Theaetetus. This paper posits that there is a difference betwixt the ἄγαλμα found in Socrates and the διάνοιᾳ with which certain men are found to be pregnant[1]. The relationship of ἄγαλμα and διάνοιᾳ are commensurate to the relationship of διάνοιᾳ and νοήσεις as found in the hierarchy of understanding in the soul in the line metaphor of the Republic. The paper will seek to prove this thesis by means of close philological and philosophical examination of the selection and use of words chosen in birth metaphors in the dialogues of first the Theaetetus, then in the Symposium[2]. Having established the difference and connection of the birth metaphors in the prior dialogues, the paper will then move into a comparison of the birth metaphors to the line metaphor in the Republic. This paper ultimately seeks to clarify the role and meaning of διάνοιᾳ within the Platonic dialogues, and how it will consequentially affect the philosophic ideas and ideals.
[1] As is described as offspring in the Theaetetus.
[2] Although other dialogues will be mentioned to further elucidate a point, these will be the three main dialogues used
Mobile Phones and the Breakdown of Face-to-face Communication: Kierkegaard's Call to Friluftsliv
Get PDFIn this paper, I address the negative side effects on face-to-face communication and well-being resulting from our continual use of mobile-mediated technology (MMT). I consider these consequences by drawing on Søren Kierkegaard's deductions on deficient communication, and discuss one remedy he suggests: a closer relationship with nature. However, technology is so ubiquitous in the modern age that the prospect of escaping it, is nearly futile. In response, I offer a solution from the ideology of friluftsliv, which views a regular relationship with nature as a way of getting in touch with one's natural human identity and restoring balance in life. I draw parallels between friluftsliv and Kierkegaard's ideas on nature and walking for curative purposes. I argue that the answer to our problem is not to shun technology, but to experience a regular relationship with nature as a way of offsetting its harmful effects
Lightweight Hybrid Approach for DoS Attack Detection in VANETs
Get PDFVehicular Ad hoc Networks (VANETs) enable communication between vehicles and roadside infrastructure to improve traffic efficiency and road safety. However, their susceptibility to security threats, particularly Denial of Service (DoS) attacks, poses significant challenges to network entities, preventing access to critical resources and services.One of the major reason that DoS attack poses great threat to VANETs is because they can be launched in different forms . In this thesis, we propose a lightweight hybrid approach that combines deep learning and machine learning models. This approach automates feature engineering tasks such as feature selection, noise reduction, and the discovery of hidden temporal and spatial dependencies, while also preserving data privacy with the use of deep learning models. By eliminating unnecessary communication data, the model enhances the efficiency of attack classification while reducing computational complexity. Our framework addresses multiclass classification, effectively identifying five distinct types of DoS attacks within a unified system. Unlike traditional methods focusing on single attack types, our proposed models are designed for real-world applicability, incorporating novel evaluation metrics such as time and space complexity. The best-performing model achieves a time taken of 8.9 × 10−7 seconds and a space complexity of 44.514 MB, making it lightweight and deployable on On-Board Units (OBUs) in vehicles
Ring-Size Effects on structures and properties of benzo-fused dithiazolyl radicals
No full textSulfur-nitrogen free radicals have been developed in the design of both organic magnets and conductors. Dithiazolyl (DTA) radicals are particularly promising in their application as organic magnets as they tend not to dimerize; it is crucial that they should be studied further for they might have interesting magnetic properties as their unpaired electrons do not spin-pair with neighbouring spins. Yet the synthesis of appropriate DTA radicals has proved synthetically more challenging than other thiazyl radicals. This talk will examine the effects of increasing the ring size on a series of benzo-fused dithiazolyls. The synthetic methodology, structures and magnetic properties of these derivatives will be discussed
Job Satisfaction and Retention Survey for Nurses in an Acute Care Hospital in Ontario
Get PDFIntroduction: The nursing shortage in Ontario persists in a post-pandemic era and poses a challenge in meeting the human resource needs of acute care hospitals. Strong evidence emphasizes the need to understand what satisfies and retains registered nurses (RNs) and registered practical nurses (RPNs) working in Ontario hospitals. Limited quantitative studies have examined job satisfaction and retention of RNs and RPNs in Ontario (Canada). Purpose: The purpose of this study was to adapt and develop a valid and reliable instrument to evaluate the job satisfaction and retention intent of RNs and RPNs working in acute care settings in Southwestern Ontario. Methods: A pilot study of 88 RNs and RPNs employed across three acute care hospitals within the Niagara Health System completed surveys via Qualtrics; data collection occurred between July 2024 and September 2024. The dataset was analyzed using descriptive statistics, bivariate, multivariate, and thematic analysis. Results: Overall, participants' job satisfaction and retention scores were high, with RPNs demonstrating statistically significantly higher job satisfaction than RNs. Themes included hiring more staff, improving compensation, fostering a positive work environment, and enhancing management-staff communication. Conclusion: Our study used an adapted and validated survey to examine job satisfaction and retention among RNs and RPNs in three acute-care hospitals in Ontario (Canada). The hallmark results demonstrated that RNs and RPNs reported high job satisfaction and retention levels. With further psychometric testing of this study’s survey, the newly developed survey could be used to study other healthcare settings across Ontario and Canada
Session D: Human-Animal Studies Pedagogy: Bringing Humans to Non-Humans
No full textPracticeHumane education; service-learning; zoo
On Partially Observed Tensor Regression
Get PDFTensor data is widely used in modern data science. The interest lies in identifying and characterizing the relationship between tensor datasets and external covariates. These datasets, though, are often incomplete. An efficient nonconvex alternating updating algorithm proposed by J. Zhou et al. in the paper "Partially Observed Dynamic Tensor Response Regression" provides a novel approach. The algorithm handles the problem of unobserved entries by solving an optimization problem of a loss function under the low-rankness, sparsity, and fusion constraints. This analysis aims to understand in detail the proposed algorithms and their theoretical proofs with, potentially, dropping some of the assumptions implied to the model. Also, the efficiency and accuracy of the algorithms on a simulated data and Parkinson's disease real-life dataset will be illustrated