The relative rates of hydrogen abstraction from o-xylene,
o-diethylbenzene and a series of four benzocycloalkenes by trichloromethyl
radical were determined at 70°. The strain energies of the
hydrocarbons and the corresponding radicals were calculated. A good
correlation between the log of the relative rates and the calculated
changes in strain...
New capabilities in wireless network security are now possible through deep learning, which can identify and leverage patterns in radio frequency (RF) data. One area of deep learning, known as open set detection, is focused on detecting data instances from new devices encountered during deployment that were not previously seen...
Image classification is a difficult problem, often requiring large training sets to get satisfactory results. However this is a task that humans perform very well, and incorporating user feedback into these learning algorithms could help reduce the dependency on large amounts of labeled training data. This process has already been...
Mental illness is a universal phenomenon, but cultural context has a profound influence on how it is perceived, classified, and treated. Most systematic research on public attitudes toward mental illness has been completed in Western societies. The emergence of multicultural psychotherapy in the West has helped professionals recognize the extent...
In standard training regimes, one assumes that the classes presented to a model constitute all of the classes that the model will encounter when it is deployed. In real deployment scenarios, however, a model can sometimes encounter situations or objects that it has never seen. When these scenarios are safety-critical,...
The fundamental aim of this study was to determine how Malaysians define both leisure
and recreation. Two ethnic groups, Chinese and Malays, and rural and urban variants of these
groups were included in the sample. The other objective was to determine if there were differences
in the definitions due to...
In this thesis, we introduce a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by embedding a high-dimensional activation vector of a deep network layer non-linearly into a low-dimensional explanation space while retaining faithfulness i.e., the original deep learning predictions can...
Cancer is the second leading cause of death in the United States. To date, over 60% of current anticancer drugs were inspired by the discovery of chemical structure from nature, commonly known as a natural product. This work represents the biological characterization of several marine natural product compounds and their...
In order to better characterize linker histone interactions with DNA, avian erythrocyte-specific linker H5 and the trypsin-resistant globular domain of H5 (GH5) were used in DNA binding studies. To begin, H5 displayed a considerably higher binding
affinity for DNA than the isolated globular domain (GH5), supporting the importance of the...
Physical Activity (PA) has been shown to significantly improve the overall health of adolescents. The health dimensions that are positively influenced by a consistent level of PA are multiple and range from body composition, chronic diseases management (diabetes, cardiovascular disease, etc.), chronic pain, and mental health (depression, anxiety, etc.). The...
A current trend in educational reform requires teachers to be proficient in employing technology in their classrooms. As a result of this trend, teachers need to be prepared to integrate technology into their teaching, and teacher preparation programs have a responsibility to prepare their students accordingly. The handheld computer (PDA)...
The types and rates of label noise in real-world data sets present a challenge to machine learning projects. In this thesis, we propose a novel approach to address this issue. Our method combines a noise modelling technique for correcting label noise across the entire data set with a robust loss...
This paper discusses opportunities for developments in spatial clustering methods to help leverage broad scale community science data for building species distribution models (SDMs). SDMs are critical tools that inform the science and policy needed to mitigate the impacts of climate change on biodiversity. Community science data span spatial and...
Zinc is an important micronutrient involved in many cellular processes, including those part of immune function; however, about 15% of the US population is at risk for marginal zinc deficiency. This can lead to immune system complications including the generation of inflammatory cytokines. Aging is another factor that worsens the...
Crowdsourcing is a popular paradigm to address the high demands for labeled data in big data deluge. It aims to produce accurate labels by effectively integrating noisy, non-expert labeling from crowdsourced workers (annotators). The machine learning community has been studying effective crowdsourcing methods for many years, and many models and...
Many conditions affecting hydrogen (H₂) production by the cyanobacterium, Synechocystis sp. PCC 6803, were optimized to yield maximum H₂ accumulation. Biological H₂ production from photosynthetic species is a promising form of renewable energy since an abundant supply of sunlight hits the Earth every day, and photosynthetic bacteria can harness this...
Known as the fourth industrial revolution, digitization is an ongoing trend in all fields, in which various industries are integrating information technologies to support and improve their businesses. Nuclear technology industries have also increased their interest in data-driven methods by leveraging the potential of pattern recognition to identify anomalies and...
Bayesian Optimization (BO) methods are often used to optimize an unknown function f(•) that is costly to evaluate. They typically work in an iterative manner. In each iteration, given a set of observation points, BO algorithms select k ≥ 1 points to be evaluated. The results of those points are...
DHA (22:6,ω3), but not EPA (20:5,ω3), attenuates Western diet (WD)-induced hepatic fibrosis in a Ldlr[superscript −/−] mouse model of nonalcoholic steatohepatitis. We examined the molecular basis for the differential effect of dietary EPA and DHA on WD-induced hepatic fibrosis. DHA was more effective than EPA at preventing WD-induced effects on...
Full Text:
cells . —Lytle, K. A., C. M.
Depner, C. P. Wong, and D. B. Jump. Docosahexaenoic acid
attenuates