The entorhinal cortex (EC) in the medial temporal lobe plays a critical role in memory formation and is implicated in several neurological diseases including temporal lobe epilepsy and Alzheimer’s disease. Despite the known importance of this brain region, little is known about the normal bioelectrical activity patterns of the EC in awake, behaving primates. In order to develop effective therapies for diseases affecting the EC, we must first understand its normal properties. To contribute to our understanding of the EC, I monitored the activity of individual neurons and populations of neurons in the EC of rhesus macaque monkeys during free-viewing of photographs using electrophysiological techniques. The results of these experiments help to explain how primates can form memories of, and navigate through, the visual world. These experiments revealed neurons in the EC that represent visual space with triangular grid receptive fields and other neurons that prefer to fire near image borders. These properties are similar to those previously described in the rodent EC, but here the neuronal responses relate to viewing of remote space as opposed to representing the physical location of the animal. The representation of visual space may be aided by another EC neuron type that was discovered, free-viewing saccade direction cells, neurons that signaled the direction of upcoming saccades. Such a signal could be used by other cells to prepare to fire according to the future gaze location. Many of these spatially-responsive neurons also represented memory for images, suggesting that they may be useful for associating items with their locations. I also examined the neuronal circuitry of recognition memory for visual stimuli in the EC, and I found that population synchronization within the gamma-band (30-140 Hz) in superficial layers of the EC was modulated by stimulus novelty, while the strength of memory formation modulated gamma-band synchronization in the deep layers and in layer III. Furthermore, the strength of connectivity in the gamma-band between different layers was correlated with the strength of memory formation, with deep to superficial power transfer being correlated with stronger memory formation and superficial to deep transfer correlated with weaker memory formation. These findings support several previous investigations of hippocampal-entorhinal connectivity in the rodent and advance our understanding of the functional circuitry of the medial temporal lobe memory system. Finally, I explored the design of a device that could be used to investigate properties of brain tissue in vitro, potentially aiding in the development of treatments for disorders of the EC and other brain structures. We designed, fabricated, and validated a novel device for long-term maintenance of thick brain slices and 3-dimensional dissociated cell cultures on a perforated multi-electrode array. To date, most electrical recordings of thick tissue preparations have been performed by manually inserting electrode arrays. This work demonstrates a simple and effective solution to this problem by building a culture perfusion chamber around a planar perforated multi-electrode array. By making use of interstitial perfusion, the device maintained the thickness of tissue constructs and improved cellular survival as demonstrated by increased firing rates of perfused slices and 3-D cultures, compared to unperfused controls. To the best of our knowledge, this is the first thick tissue culture device to combine forced interstitial perfusion for long-term tissue maintenance and an integrated multi-electrode array for electrical recording and stimulation.

Cette thèse porte sur l'étude de l'enthalpie de dissolution du dioxyde de carbone dans des solutions aqueuses d'amine. Pour développer des modèles théoriques décrivant les systèmes (CO2-amine-eau) pour les conditions appliquées aux procédés industriels, il est nécessaire d'avoir des données expérimentales reliant la solubilité et l'enthalpie. Dans cette étude, nous avons utilisé une unité de mélange construite au laboratoire que nous avons adapté à un calorimètre SETARAM C-80 pour mesurer l'enthalpie de solution du CO2 dans cinq solutions aqueuses d'amine, (la 2-Amino-2-méthyl-1-propanol (AMP), la monoéthanolamine (MEA), la diéthanolamine (DEA), la triéthanolamine (TEA) et la méthyldiéthanolamine (MDEA) (15 et 30 mass%) à des températures comprises entre 322.5 K et 372.9 K et des pressions allant de 0.5 à 5 MPa. Les données de la littérature ont été utilisées pour ajuster deux modèles thermodynamiques d'équilibre de phases (un simple et un rigoureux). Le premier modèle résume l'absorption du CO2 par une seule réaction, tandis que le second prend en compte toutes les réactions à l'équilibre. Le modèle simple reproduit nos enthalpies expérimentales à plus ou moins 10%, tandis que le modèle rigoureux reproduit nos données avec un écart compris entre 5 et 20% selon l'amine considérée. Le calcul de l'enthalpie dans le modèle rigoureux est fortement dépendant des données de la littérature utilisées pour la réaction de protonation de l'amine. Ceci souligne la nécessité d'acquérir de nouvelles données expérimentales sur ces constantes d'équilibre pour améliorer le modèle.

Mycotoxins are toxic secondary metabolites produced by filamentous fungi. Aflatoxins and fumonisins are among the most toxic mycotoxins. They are a significant risk factor for a cocktail of chronic health conditions including cancer of the liver, oesophagus and kidney, teratogenicity, neural tube defects, interference with lipid metabolism, a weakened immune system and a negative impact on micronutrient absorption in both man and animals. This study compared natural contamination of peanuts, peanut butter and sorghum from Gaborone, Botswana and Bulawayo, Zimbabwe with aflatoxins and fumonisins. In total 34 peanut samples, 34 sorghum samples and 11 peanut butter samples were collected randomly from retail shops and informal markets in the two cities. Fungal contamination was determined using standard mycology methods. Aflatoxin and fumonisin contamination was determined using HPLC-FLD. A. flavus/parasiticus species were detected in 66% and 100% of randomly analysed peanut samples from Bulawayo and Gaborone respectively and 27% (3/11) of peanut butter samples from Bulawayo. 67% of randomly analysed sorghum samples from Bulawayo showed A. flavus/parasiticus and Fusarium species contamination while none of the randomly analysed sorghum samples from Gaborone showed any fungal contamination. Furthermore aflatoxins were not detected in any of the sorghum samples; however 61% (11/18) of the Bulawayo sorghum samples showed fumonisin contamination (Range: 8 – 187 ng/g). Three of the peanut samples from Bulawayo were contaminated with aflatoxins (range: 6.6 – 622 ng/g) and no aflatoxins were detected in Gaborone peanuts. All 11 peanut butter samples from Bulawayo were contaminated with aflatoxins (Mean: 73.5 ng/g, Range: 6.8-250 ng/g) and AFB1 was the most prevalent. These preliminary results indicate that peanut butter and peanuts from Bulawayo are contaminated with high levels of aflatoxins. Stricter policing of regulations should be implemented to ensure compliance by manufacturers and public health interventions implemented in vulnerable communities. / Life and Consumer Sciences / M. Sc. (Life Sciences)

This research is directed toward the investigation of a low temperature direct propane fuel cell (DPFC). Modeling included a parametric study of a direct propane fuel cell using computational fluid dynamics (CFD), specifically FreeFem++ software. Polarization curves predicted by the CFD model were used to understand fuel cell performance. The predictions obtained from the computational fluid dynamics mathematical model for the fuel cell were compared with experimental results. The computational work identified some critical parameters (exchange current density, pressure, temperature) for improving the overall performance of the fuel cell. The model predictions clearly highlighted the role of catalysts in significantly enhancing the overall performance of a DPFC. Experiments were performed using commercial Nafion-Pt based membrane electrode assemblies (MEAs) to obtain a basis for comparison. It is the first report in the literature that a Pt-Ru (Platinum-Ruthenium) MEA was used in the investigation of a DPFC. Also, it was the first study that fed liquid water continuously to a DPFC by using interdigitated flow field (IDFF) at the anode to humidify the dry propane feed gas. During the experiments oscillations were observed at very low current densities i.e. in nA/cm2, which is a rare case and not reported in the literature to date. This observation has raised serious concerns about the existence of absolute open-circuit cell potential difference for a DPFC. The cycling behaviour observed with DPFC indicated the presence of a continuous degradation-regeneration process of the catalyst surface near open-circuit potential. The experimental work further evaluated the performance of fuel cell by measurement of polarization curves.

An EU-funded project Fit-4-AMandA aims to establish a technological roadmap to scale-up from less than hundred stacks/year (manual assembly) to 50,000 stacks/year (automated assembly) in 2020 and beyond. Existing membrane-electrode assembly (MEA) and stack were redesigned/adapted for manufacturability and automation. The technology and machine system for the automated assembly of polymer-electrolyte-membrane fuel cell (PEMFC) stacks were developed, manufactured and are currently being tested. Fast in-line non-destructive quality-assurance methods for automated production of MEAs and stack assembly are being developed and implemented. For the final period of the project, a validation of the designs, hardware, tools and software for the automated production of MEAs and stack assembly as well as an integration of one of the prototype stacks manufactured by the automated processes into a light-commercial vehicle followed by a field-testing are scheduled. / Die breite Markteinführung von wasserstoffbasierten Antriebssystemen verlangt zunehmend nach einer kosteneffizienten und serientauglichen Produktion von Brennstoffzellenstacks. So sehen die Ziele der Europäischen Union vor, die Herstellung von aktuell unter 100 Stacks pro Jahr auf 50.000 Stacks pro Jahr bis zum Jahr 2020 zu erhöhen. Um dies zu erreichen, sollen im Rahmen des vom Fuel Cell and Hydrogen Joint Undertaking (FCH JU) der europäischen Union geförderten Projektes Fit-4-AMandA automatisierte Anlagen für solche Stückzahlen befähigt werden. Der Beitrag beschreibt, wie die bereits verfügbare Membran-Elektroden-Einheit (MEA) und der Stack bezüglich Herstellbarkeit und Automatisierung konstruktiv umgestaltet und angepasst wurden. Die neu entwickelte Technologie und das Maschinensystem für die automatisierte Montage von PEM-FC-Stacks sowie Verfahren der INLINE-Qualitätssicherung und der zerstörungsfreien Prüfung werden mit ihren Implementierungsmöglichkeiten in die automatisierte Fertigungsstrecke vorgestellt. Ein Ausblick gibt eine Übersicht über die weiteren Entwicklungsschritte wie die Validierung der Entwürfe, der Hard- und Software für die automatisierte Produktion der MEAs und Stacks. Eine vorgesehene spätere Integration der so gefertigten Stacks in ein Fahrzeug und die damit verbundenen Feldtests zur Untersuchung der Reproduzierbarkeit und Zuverlässigkeit der Stacks werden abschließend dargestellt. Die Förderung des Projektes erfolgt im Rahmen der Finanzhilfevereinbarung Nr. 735606 des FCH JU der EU.

The manufacturing process of membrane electrode assembly (MEA) generally takes place under climate control, as the base material used for membranes is well known for its hygroscopic properties. The large climate-controlled area for the whole assembly line does not only increase energy consumption, but also limits the further scalability of the production line. Within this article, a micro-environment concept for the MEA production based on a roll-to-roll (R2R) process was investigated. By using the Finite Element Method, a 3D numerical model has been established, in which the local climate control on different MEA production processes is covered. In particular, the influence of humidity on dimensional changes of the CCM, which in turn cause product deformation, is simulated. In addition, a gravimetric method was used to experimentally investigate the moisture absorption and release behavior of the MEA components under defined climatic conditions.

Wireless sensor networks (WSNs) have become pivotal in precision agriculture, environmental monitoring, and smart healthcare applications. However, the challenges of energy consumption and security, particularly concerning the reliance on large battery-operated nodes, pose significant hurdles for these networks. Energy-harvesting wireless sensor networks (EH-WSNs) emerged as a solution, enabling nodes to replenish energy from the environment remotely. Yet, the transition to EH-WSNs brought forth new obstacles in ensuring reliable and secure data transmission. In our initial study, we tackled the intermittent connectivity issue prevalent in EH-WSNs due to the dynamic behavior of energy harvesting nodes. Rapid shifts between ON and OFF states led to frequent changes in network topology, causing reduced link stability. To counter this, we introduced the hybrid routing method (HRM), amalgamating grid-based and opportunistic-based routing. HRM incorporated a packet fragmentation mechanism and cooperative localization for both static and mobile networks. Simulation results demonstrated HRM's superior performance, enhancing key metrics such as throughput, packet delivery ratio, and energy consumption in comparison to existing energy-aware adaptive opportunistic routing approaches. Our second research focused on countering emerging threats, particularly the malicious energy attack (MEA), which remotely powers specific nodes to manipulate routing paths. We developed intelligent energy attack methods utilizing Q-learning and Policy Gradient techniques. These methods enhanced attacking capabilities across diverse network settings without requiring internal network information. Simulation results showcased the efficacy of our intelligent methods in diverting traffic loads through compromised nodes, highlighting their superiority over traditional approaches. In our third study, we developed a deep learning-based two-stage framework to detect MEAs. Utilizing a stacked residual network (SR-Net) for global classification and a stacked LSTM network (SL-Net) to pinpoint specific compromised nodes, our approach demonstrated high detection accuracy. By deploying trained models as defenses, our method outperformed traditional threshold filtering techniques, emphasizing its accuracy in detecting MEAs and securing EH-WSNs. In summary, our research significantly advances the reliability and security of EH-WSN, particularly focusing on enhancing the network layer. These findings offer promising avenues for securing the future of wireless sensor technologies.

In recent years, the edges between reality and virtual reality have been further smudged as today’s software and hardware allows for wireless immersive experiences. In an attempt to solve locomotion as the last piece of the puzzle of perfecting immersive virtual realities, impossible spaces have been developed to support natural locomotion. This in-between subject study investigated the effects of the combination of climbing and free walking on immersion in an impossible space environment with 20 participants. Users tended to greatly underestimate the distance climbed (which contradicts a previous study), concentrate, lose track of time, describe their experience more positively and differently than the controls group. Signs of spatial, emotional, cognitive and tactical immersion were shown in aspects of concentration, time, feelings of freedom, narrative, presence, safety, mental stimulation and locomotion user strategies to name a few. Minimal cues may have been present while future studies might fully confirm and define the immersive potential of vertical locomotion in impossible spaces. / De senaste årens utveckling har fortsatt sudda ut kanterna mellan verklighet och virtuell verklighet då dagens teknik stödjer trådlösa immersiva verkligheter. I ett försök att lösa locomotion som det sista biten av pusslet för att göra virtuella verkligheter perfekta har s.k impossible spaces utvecklats för att stödja naturlig locomotion. Den här A/B-gruppsstudien undersökte effekter på immersion med kombinationen av naturlig och vertikal locomotion i en impossibel space miljö med 20 deltagare. Användare tenderade att grovt underskatta längden de klättrade (vilket motsäger en tidigare studie), koncentrera sig, tappa tidsuppfattningen, beskriva deras upplevelsen mer positivt och annorlunda än kontrollgruppen. Tecken på rumslig, emotionell, kognitiv och taktil immersion visade sig i form av koncentration, tid, känslor av frihet, narrativ, närvaro, säkerhet, mental stimulation och locomotion- användarstrategier för att nämna några. Minimala element kan ha uppnåtts medan framtida studies kan bekräfta och definiera den immersiva potentialen med vertikal locomotion i impossibel spaces till fullo.

No description available.

Type I diabetes (T1D) is an autoimmune disorder affecting the insulin-producing beta cells of the islets of Langerhans, disrupting the glucose homeostasis regulatory system. Nowadays, islet transplantation is one of the anticipated treatments to revive the endocrinal function by injecting isolated pancreatic islets from a deceased donor into the patient’s liver’s portal vein. Regardless of the promising aspect, the main issue prior to transplantation is the inconsistent quality and low percentage of functioning islets post-transplantation. Therefore, a rapid islet functionality test with minimal complicated operation becomes necessary to tackle the pre-transplantation issue. This project revolves around the end-to-end development of an electrophysiology recording platform to monitor extracellular activities in murine pancreatic islets. A microfluidic perfusion system with hydrodynamic trapping is integrated with planar gold microelectrode arrays (MEA) as the preliminary device directly interfacing the islets. The design and fabrication of both the microfluidics and electrode devices, as well as in-house front-end electronics with analog filters and amplifiers tailored to capture the microvolt-scale signals, covered most of the project. Offline digital processing was performed in Python to analyse the recorded signals further. As a result, the complete platform and recording setup have been fully integrated, with successful islet trapping on top of electrodes and front-end electronics with 220x voltage gain and 0.1-3000 Hz bandwidth to record extracellular electrophysiology signals from intact pancreatic islets. While the current preliminary electrophysiology recordings are still quite inconclusive and require further validation, the project serves as a starting point in developing devices for extracellular electrophysiology measurement, which has not commonly been investigated specifically in pancreatic islets, and enables further exploration in the field. / Typ I-diabetes (T1D) är en autoimmun sjukdom som påverkar de insulinproducerande betacellerna på de Langerhanska öarna och stör det reglerande systemet för glukoshomeostas. Nuförtiden är ötransplantation en av de förväntade behandlingarna för att återuppliva den endokrina funktionen genom att injicera isolerade pankreasöar från en avliden donator i patientens levers portven. Oavsett den lovande aspekten är huvudfrågan före transplantation den inkonsekventa kvaliteten och låga andelen fungerande öar efter transplantationen. Därför blir ett snabbt funktionstest av öar med minimalt komplicerad operation nödvändigt för att ta itu med problemet före transplantation. Detta projekt kretsar kring end-to-end utveckling av en elektrofysiologisk inspelningsplattform för att övervaka extracellulära aktiviteter i murina pankreatiska öar. Ett mikrofluidiskt perfusionssystem med hydrodynamisk infångning är integrerat med plana guldmikroelektrodarrayer (MEA) som den preliminära enheten som direkt gränsar till öarna. Designen och tillverkningen av både mikrofluidik och elektrodenheter, såväl som intern front-end-elektronik med analoga filter och förstärkare skräddarsydda för att fånga signalerna i mikrovoltskala, täckte större delen av projektet. Offline digital bearbetning utfördes i Python för att analysera de inspelade signalerna ytterligare. Som ett resultat har den kompletta plattformen och inspelningsuppsättningen integrerats helt, med lyckad ö-infångning ovanpå elektroder och front-end-elektronik med 220x spänningsförstärkning och 0,1-3000 Hz för att registrera extracellulära elektrofysiologiska signaler från intakta pankreatiska öar. Medan de nuvarande preliminära elektrofysiologiska inspelningarna fortfarande är ganska ofullständiga och kräver ytterligare validering, fungerar projektet som en utgångspunkt för att utveckla enheter för extracellulär elektrofysiologisk mätning, som inte vanligtvis har undersökts specifikt i pankreasöar, och möjliggör ytterligare utforskning inom området.