Liquid fuel lubricity testing is known to be sensitive to the humidity of the surrounding atmosphere. The effect reported does however not seem to be universal for all diesel types according to available literature. This study was limited to the use of n-hexadecane as base fluid with addition of between 100 - 2000 ppm of palmitic acid (PA) as lubricity enhancer. The fuel spectrum was kept simple to allow a more fundamental approach by limiting the extent of possible chemical reactions. Both wear and seizure load testing were performed. The effect of water on both tests was found to be:  Wear and friction increased with higher soluble water content. Water therefore interferes with the action of the lubricating additive leading to decreased performance.  It is known that hydroxyl groups, from dissociative chemisorption of water, act as active sites for adsorption. It is however postulated that the associative chemisorption and/or physisorption of water interferes by either reducing the active site availability or reducing activity to ligand exchange.  No iron oxyhydroxides (FeOOH) were detected on the wear scars or tracks using Raman spectroscopy. The adsorbed water therefore likely only interact with the surface due to their low concentrations (10 ~ 50 ppm).Liquid fuel lubricity testing is known to be sensitive to the humidity of the surrounding atmosphere. The effect reported does however not seem to be universal for all diesel types according to available literature. This study was limited to the use of n-hexadecane as base fluid with addition of between 100 - 2000 ppm of palmitic acid (PA) as lubricity enhancer. The fuel spectrum was kept simple to allow a more fundamental approach by limiting the extent of possible chemical reactions. Both wear and seizure load testing were performed. The effect of water on both tests was found to be:  Wear and friction increased with higher soluble water content. Water therefore interferes with the action of the lubricating additive leading to decreased performance.  It is known that hydroxyl groups, from dissociative chemisorption of water, act as active sites for adsorption. It is however postulated that the associative chemisorption and/or physisorption of water interferes by either reducing the active site availability or reducing activity to ligand exchange.  No iron oxyhydroxides (FeOOH) were detected on the wear scars or tracks using Raman spectroscopy. The adsorbed water therefore likely only interact with the surface due to their low concentrations (10 ~ 50 ppm). For wear testing the following additional observations were made:  The electric contact resistance (ECR) took longer to increase at higher soluble water content, for all PA concentrations. The equilibrium values attained were also lower, when values were within the measurement range. This again highlights the reduced lubricity performance at higher soluble water content.  Wear scar appearance and colour were uniquely affected at each concentration of PA  Similar trends were observed at 60 °C and 80 °C. At the higher temperature:  Wear scar diameters increased.  Friction coefficients decreased and had less variance.  ECR values were similar, but took longer to increase to a steady value. For seizure load testing the following additional observations were made:  At higher water content, the oscillation-stroke on the test machine used tended to deviate more, before the actual seizure point was reached.  The effects of soluble water were more noticeable at lower PA concentrations. / Dissertation (MEng)--University of Pretoria, 2014. / tm2015 / Chemical Engineering / MEng / Unrestricted

Epilepsy is a neurological disorder affecting 1-2 % of the population in the world. People diagnosed with epilepsy are put at high risk of getting injured due to the unpredictable seizures caused by the disorder. Electroencephalography (EEG) in combination with machine learning can be used for prediction of an epileptic seizure. Therefore, a portable prediction device is of great interest with high emphasis for it to be user-friendly. One way to achieve this is by minimizing the number of electrodes placed on the scalp. This study examines the number of electrodes that provide sufficient information for prediction of a seizure. The highest prediction accuracy of 91 %, 97 % sensitivity and 85 % specificity was achieved with as few as 16 electrodes. Due to the limitation of the intracranial EEG recordings further testing must be performed on scalp EEG recordings to provide valid results.

School officials trying to deter drug use, combat crime, and shore up security are conducting searches that are landing school in legal trouble for violating students' constitutional rights. In 1993, West Virginia Supreme Court ruled that a strip search of a student suspected of stealing money was illegal (State of West Virginia ex rel Gilford v. Mark Anthony B., 1993). In another case, a federal appellate court held that a strip search of a student for suspected drug possession was reasonable, although no drugs were found (Cornfield v. Consolidated High School District No. 230, 1993). Improper searches of students, lockers and automobiles can result in hundreds of thousands of dollars in civil liability, costs and attorney fees. This study collected data on administrative knowledge in the area of search and seizure. The analyzed data served to (a) determine if administrators across the state of Florida have a general understanding of the laws regarding search and seizure; (b) identify demographic areas that demonstrate a lack of knowledge related to search and seizure; and (c) suggest improvements to current educational leadership courses of study, state-wide staff development offerings, and ideas for possible conference topics. The study involved responses from questionnaires received from 139 public school administrators in Florida (17% of the 810 randomly sampled elementary, middle, and high school principals). Analysis of data revealed that more than one-third of the respondents fell below the mean, with no significant difference between building levels or metropolitan statistical area.

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Connexins are transmembrane proteins that form hemichannels allowing the exchange of molecules between the extracellular space and the cell interior. Two hemichannels from adjacent cells dock and form a continuous gap junction pore, thereby permitting direct intercellular communication. Connexin 36 (Cx36), expressed primarily in neurons, is involved in the synchronous activity of neurons and may play a role in aberrant synchronous firing, as seen in seizures. To understand the reciprocal interactions between Cx36 and seizure-like neural activity, we examined three questions: a) does Cx36 deficiency affect seizure susceptibility, b) does seizure-like activity affect Cx36 expression patterns, and c) does acute blockade of Cx36 conductance increase seizure susceptibility. We utilize the zebrafish pentylenetetrazol (PTZ; a GABA(A) receptor antagonist) induced seizure model, taking advantage of the compact size and optical translucency of the larval zebrafish brain to assess how PTZ affects brain-wide neuronal activity and Cx36 protein expression. We exposed wild-type and genetic Cx36-deficient (cx35.5-/-) zebrafish larvae to PTZ and subsequently mapped neuronal activity across the whole brain, using phosphorylated extracellular-signal-regulated kinase (pERK) as a proxy for neuronal activity. We found that cx35.5-/- fish exhibited region-specific susceptibility and resistance to PTZ-induced hyperactivity compared to wild-type controls, suggesting that genetic Cx36 deficiency may affect seizure susceptibility in a region-specific manner. Regions that showed increased PTZ sensitivity include the dorsal telencephalon, which is implicated in human epilepsy, and the lateral hypothalamus, which has been underexplored. We also found that PTZ-induced neuronal hyperactivity resulted in a rapid reduction of Cx36 protein levels within. 30 minutes and one-hour exposure to 20 mM PTZ significantly reduced the expression of Cx36. This Cx36 reduction persists after one-hour of recovery but recovered after 3-6 hours. This acute downregulation of Cx36 by PTZ is likely maladaptive, as acute pharmacological blockade of Cx36 by mefloquine results in increased susceptibility to PTZ-induced neuronal hyperactivity. Together, these results demonstrate a reciprocal relationship between Cx36 and seizure-associated neuronal hyperactivity: Cx36 deficiency contributes region-specific susceptibility to neuronal hyperactivity, while neuronal hyperactivity-induced downregulation of Cx36 may increase the risk of future epileptic events. / Doctor of Philosophy / Within the brain, cells (neurons) communicate with each other to pass along information. This communication is important for normal functions of the brain such as learning and memory, muscle movement, etc. Epilepsy is a disease of the brain that is caused by rapid over synchronized communication between cells. This leads to seizures which can include convulsions, loss of attention, and much more. Currently, 30% of patients suffering from epilepsy do not have a treatment option that works for them, it is, therefore, imperative to investigate new targets for treatment in this disease. Connexin36 is a protein in the brain that directly connects cells so they can pass information quickly between them. Connexin36, therefore, might make a good target for treatment. Previous work has aimed to understand this relationship but has been limited in their ability to look at the entire brain at any one time. The goal of this study was to understand the relationship between connexin 36 and brain hyperactivity across the whole brain simultaneously. To understand this relationship, we first determined what happened to brain activity if the protein was missing entirely after exposure to a seizure causing drug. We were asking: How does connexin 36 affect hyperactivity. We found that different regions of the brain responded differently without the connexin 36 protein. This suggests that one size does not fit all, and one must look at the whole brain to understand the effects of the connexin 36 protein. Next, we asked a similar question, but in the opposite direction, how does hyperactivity affect connexin 36? We found, in the short-term, hyperactivity reduced the amount of connexin 36 present in certain regions of the brain. This continued until 3 hours following exposure to the seizure causing drug Pentylenetetrazol (PTZ). Lastly, to determine if this short-term reduction in connexin 36 meant that an individual was more likely to experience hyperactivity. To do this, we used a connexin 36 blocking drug, then introduced the seizure causing drug at different concentrations. We found, at all concentrations, the connexin 36 blocking drug caused significant changes in neuronal activity, depending on the brain regions. Overall, our results showed that connexin 36 plays an important role in hyperactivity and that a short-term reduction in connexin 36 is detrimental, and may contribute to an increase in the possibility of subsequent hyperactivity.

Deep Brain Simulation (DBS) has received attention in the scientific community for its potential to suppress epileptic seizures. To date, DBS has only achieved marginal positive results. We believe that a highly complex possibly chaotic (HPC) biologically inspired stimulation is superior to periodic stimulation. Using Radial Basis Functions (RBFs), we modeled interictal and postictal time series based on electroencephalograms (EEGs) of rat hippocampus slices while under low Mg2+. We then compared the RBF based interictal and postictal stimulations to the periodic stimulation using a Cognitive Rhythm Generator (CRG) model for spontaneous Seizure-Like Events (SLEs). What resulted was a significant improvement in seizure suppression with the HPC stimulators at lower gains as opposed to the periodic signal. This suggests that the use of biologically inspired HPC stimulators will achieve better results while confining the stimulation to a narrow region of the brain.

Deep Brain Simulation (DBS) has received attention in the scientific community for its potential to suppress epileptic seizures. To date, DBS has only achieved marginal positive results. We believe that a highly complex possibly chaotic (HPC) biologically inspired stimulation is superior to periodic stimulation. Using Radial Basis Functions (RBFs), we modeled interictal and postictal time series based on electroencephalograms (EEGs) of rat hippocampus slices while under low Mg2+. We then compared the RBF based interictal and postictal stimulations to the periodic stimulation using a Cognitive Rhythm Generator (CRG) model for spontaneous Seizure-Like Events (SLEs). What resulted was a significant improvement in seizure suppression with the HPC stimulators at lower gains as opposed to the periodic signal. This suggests that the use of biologically inspired HPC stimulators will achieve better results while confining the stimulation to a narrow region of the brain.

A Novelty Detection Approach to Seizure Analysis from Intracranial EEG Andrew B. Gardner 146 pages Directed by Dr. George Vachtsevanos and Dr. Brian Litt A framework for support vector machine classification of time series events is proposed and applied to analyze physiological signals recorded from epileptic patients. In contrast to previous works, this research formulates seizure analysis as a novelty detection problem which allows seizure detection and prediction to be treated uniformly, in a way that is capable of accommodating multichannel and/or multimodal measurements. Theoretical properties of the support vector machine algorithm employed provide a straightforward means for controlling the false alarm rate of the detector. The resulting novelty detection system was evaluated both offline and online on a corpus of 1077 hours of intracranial electroencephalogram (IEEG) recordings from 12 patients diagnosed with medically resistant temporal lobe epilepsy during evaluation for epilepsy surgery. These patients collectively had 118 seizures during the recording period. The performance of the novelty detection framework was assessed with an emphasis on four key metrics: (1) sensitivity (probability of correct detection), (2) mean detection latency, (3) early-detection fraction (prediction or detection of seizure prior to electrographic onset), and (4) false positive rate. Both the offline and online novelty detectors achieved state-of-the-art seizure detection performance. In particular, the online detector achieved 97.85% sensitivity, -13.3 second latency, and 40% early-detection fraction at an average of 1.74 false positive predictions per hour (Fph). These results demonstrate that a novelty detection approach is not only feasible for seizure analysis, but it improves upon the state-of-the-art as an effective, robust technique. Additionally, an extension of the basic novelty detection framework demonstrated its use as a simple, effective tool for examining the spread of seizure onsets. This may be useful for automatically identifying seizure focus channels in patients with focal epilepsies. It is anticipated that this research will aid in localizing seizure onsets, and provide more efficient algorithms for use in a real device.