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Ce travail interroge les espaces traversés dans les trois romans suivants du poète-romancier vagabond Louis-Philippe Dalembert : L’autre face de la mer (1998), Avant que les ombres s’effacent (2017) et Mur Méditerranée (2019). Le mémoire s’ouvre sur une rétrospective de la vie et de l’itinéraire littéraire de l’écrivain avant de poser les bases des enjeux critiques autour desquels la réflexion sur les espaces s’articule. Le premier chapitre intitulé « Étendue des lieux » expose le rôle actif du sujet constituant en traversée dans le lieu habité. L’analyse des représentations de la maison d’enfance, de la ville, du pays, de l’océan et de la mer ainsi que des frontières souligne alors une instabilité du « lieu ». Le chapitre « Épaisseurs de temps » présente la notion de temps en tant que conditionnement linguistique cherchant à dire la relation fondamentale de l’individu avec l’espace vécu, nommé par Dalembert le « pays-temps ». Les allers-retours de la mémoire révèlent ainsi leur portée stratégique et l’Histoire devient un amalgame d’expériences subjectives dont la transmission est dépendante de leur mise en récit(s). Le dernier chapitre, « Échos de langues », questionne la langue même de Dalembert, puis celles dans lesquelles évoluent ses personnages. Les espaces partagés que sont la prière et les chants dévoilent un imaginaire créole du monde et soulignent la corporéité du langage. Avec les penseurs de « l’entre-deux » issus de la pensée postcoloniale et de la philosophie contemporaine, ce travail est traversé par une réflexion d’ordre éthique sur l’irréductible présence du sujet constituant dans le monde sensible, traduisant une relation perpétuellement à faire. / This work interrogates the spaces crossed in the following three novels by the vagabond poetnovelist Louis-Philippe Dalembert : L’autre face de la mer (1998), Avant que les ombres s’effacent (2017) and Mur Méditerranée (2019). The memoir opens with a retrospective of the writer’s life and literary itinerary before laying the groundwork for the critical issues around which the reflection on spaces is articulated. The first chapter entitled “Étendue des lieux” exposes the active role of the constituent subject crossing the inhabited place. The analysis of the representations of the childhood home, the city, the country, the ocean and the sea as well as the borders expresses then the instability of the “place”. The chapter “Épaisseurs de temps” presents the notion of time as a linguistic conditioning that seeks to express the fundamental relationship of the individual with the lived space, named by Dalembert the “pays-temps”. The back and forth of memory thus reveals its strategic significance and History becomes an amalgam of subjective experiences whose transmission depends on their narrative(s). The last chapter, “Échos de langues”, questions Dalembert’s own language, and then those in which his characters evolve. The shared spaces of prayer and song reveal a creole imaginary of the world and emphasize the corporeality of language. With the thinkers of the “in-between” from postcolonial studies and contemporary philosophy, this work is crossed by an ethical reflection on the irreducible presence of the constituent subject in the sensitive world, translating a relation perpetually to be made.

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This study evaluates the spatial and temporal impacts of implemented Best Management Practices (BMP) on stream water quality under baseflow conditions in a stream segment affected by livestock production. The BMPs includes 10-m fenced riparian zone and crossing paths along the reach segment. Grab water samples and water quality monitoring were collected biweekly from July 2019 to March 2022. Water quality parameters included temperature, dissolved oxygen, electric conductance, total dissolved solids, turbidity, and pH. Water samples were lab analyzed for sediments and nutrients. Results evidenced poor water quality before BMPs implementation, with nutrient concentrations exceeding the nation's and state's criteria. Two years after implementation, BMPs favored seasonal and spatial reductions in nutrient, sediment concentrations, and improved water quality parameters. Present results and subsequent stream monitoring should create awareness in private owners to extend the implementation of a riparian zone and other BMPs that improves stream water quality and health.

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<p> The limited numbers of women in advanced mathematics courses is a critical factor hindering women’s academic and professional access to science, technology, engineering, and mathematics (STEM) fields. Informal learning environments have the potential to play a significant role in promoting the participation of girls and women in mathematics/STEM fields. However, research that addresses the intersection of informal education, mathematics education, and women’s studies is minimal. Specifically, little is known about informal educators’ lived experiences in facilitating girls’ learning. Based on four years of working alongside Laura, the founder of Girls Excelling in Math and Science (GEMS) clubs, I conducted a narrative inquiry that explored our boundary crossing experiences as we engaged in a GEMS collaboration. The exploration focused on Laura’s narratives of her past, present, and future experiences that shape her identity as an informal educator. During the exploration of Laura’s experiences, I reflected on and inquired about my own personal and professional experiences across multiple contexts that inform my evolving identity as an educator. The theoretical framework of this study is informed by feminist theory and boundary-crossing perspectives. Feminist theory guides me to perceive our narrative of experiences from a women’s perspective while the boundary-crossing framework provides an analytic lens to understand our interpersonal and intrapersonal boundary crossing experiences. Because of the nature of the narrative inquiry, data were co-constructed between Laura and me in various forms: interviews, field notes, family stories, autobiographical writing, documents, conversations, emails, etc. I employed Polkinghorne’s (1995) <em>narrative analysis </em>and <em>analysis of narrative</em> approaches to analyze data. First, I utilized a <em>narrative analysis </em>approach to generate three holistic plots: (1) narratives of becoming female educators, (2) boundary-crossing collaboration in the midst of GEMS, and (3) conceptualizing mathematics across multiple contexts. An<em> analysis of narrative</em> approach was used to generate themes that unfold the meanings of stories, moments, and events and configure the plot. In the findings, I portrayed the three plots which allowed me to rediscover and reconstruct our personal practical knowledge across the contexts. Building on the findings, I discuss how female educators’ narratives of experiences inform their personal practical knowledge, which empowers girls’ and women’s personal and social experiences in mathematics/STEM. Laura and I cross multiple boundaries engaging in collaboration which provides an example of the boundary crossing collaboration between mathematics education and informal education. Based on the findings, I describe how informal learning STEM environments provide potential spaces to implement alternative curricula to humanize mathematics. Two evolving mathematics-related tasks illustrate our experiences of humanizing mathematics in GEMS. This study is situated at the intersection of mathematics education, informal education, and women’s studies, which significantly impacted Laura, myself, and GEMS, the context in which this study took place. This study provides an example of the possibilities of building boundary-crossing collaborations between the mathematics education community and the informal education community to empower girls and women in mathematics/STEM. Drawing on this dissertation study, one future research direction focuses on implementing and further developing humanized mathematics curricula in informal learning environments. Another research direction is using intersectional feminist theory to understand women’s differences regarding multiple social constructs (e.g., race, gender, class, ethnicity) to explicate the dimensions of inequality women face in mathematics/STEM. The study also suggests future practical work for mathematics education to foster alternative ways of conceptualizing mathematics regarding curriculum and approach. Mathematics educators could contribute to creating a learning community and providing professional development opportunities to support informal educators. </p>

During the last two decades, innovations that contribute to sustainable development has received increasing attention in the markets and academia. The diffusion of sustainable innovations is a key element in society’s transformation toward a greener and more sustainable economy. Within industries that utilize industrial gases in their operations, there are thousands of fugitive emission sources that puts strain on the safety of the plant and the personnel. As most gases are combustible and hazardous to humans and the environment, these companies must have effective leak detection and repair (LDAR) programs. In recent years, a new gas detection technology called Optical Gas Imaging have emerged which can identify gas compounds safer and more efficient compared to older leak detection technologies. However, the rate of diffusion of the innovation has been slow and limited to oil and gas industries, even though many other industries such as steel, paper and pulp and chemical industries utilize gases as well. As such, this research has aimed to identify factors that influence the adoption of sustainable innovations within gas-utilizing industries. The qualitative data was gathered through semi structured interviews with gas-utilizing companies in Sweden and analyzed with interpretive methods. The results show that regulatory factors are a strong driver for the diffusion of sustainable innovations while characteristics of price, availability and type of innovationdecision works as barriers. The generated knowledge may contribute on how innovators of a sustainable innovations can overcome these barriers and improve the rate of adoption of sustainable innovations. / Under de senaste två decennierna har innovationer som bidrar till hållbar utveckling fått ökad uppmärksamhet på marknaden och inom forskningen. Diffusionen av hållbara innovationer är ett viktig del av samhällets omvandling mot ett mer hållbart samhälle. Inom branscher som använder industriella gaser i sin verksamhet finns det tusentals flyktiga utsläppskällor som belastar anläggningen och personalens säkerhet. Eftersom de flesta gaser är brännbara och farliga för människor och miljö, är det viktigt att dessa företag har effektiva läckedetekterings- och reparationsprogram (LDAR). Under de senaste åren har en ny gasdetekteringsteknologi, Optical Gas Imaging, kommit fram som kan identifiera gasföreningar säkrare och effektivare jämfört med äldre tekniker för läckedetektering. Däremot, har diffusionsgraden för innovationen varit långsam och begränsad till olje- och gasindustrin, även om många andra industrier så som stål, papper och massa, och kemiska industrier också använder gaser som energi. Därför har syftet med denna stuie varit att identifiera faktorer som påverkar diffusionen av hållbara innovationer inom industrier som använder gaser. Den kvalitativa datan samlades in genom semistrukturerade intervjuer med företag i Sverige som använder gaser, där datan analyserades med tolkningsmetoder. Resultatet visar att lagar och regler är en stark drivkraft för diffusionen av hållbara innovationer medan innovationsegenskaper såsom ”pris” och nyckelfaktorerna ”tillgänglighet” och ”innovationsbeslut” agerar som hinder. Den genererade kunskapen från denna studie kan bidra till hur en hållbar innovationskapare kan åtgärda dessa hinder och förbättra dess diffusion i marknaden.

Ocean-surface Wireless Sensor Networks (WSN) are essential in various thalassic applications, such as maritime communication, ocean monitoring, seawater examination, pollution detection, etc. Formed by simple structured sensor nodes, ocean-surface WSN can improve the data transmission rate, enhance the monitoring resolution, expand the geographical coverage, extend the observation period, and lower the cost compared to the vessel-based monitoring approaches. Despite the importance and the broad applications of ocean-surface WSNs, little is known about the stability of the wireless links among the sensors. Especially, research suffers from the lack of an accurate model that describes the environmnetal effects, including the ocean surface movements and the wind speed on the link stability. The inappropriate understanding of link stability can result in network protocols that are not robust to environmental interruptions. Such a shortcoming decreases the network reliability and degrades the accuracy of the network planning. To compensate for this shortcoming, in this dissertation, we provide a thorough analysis on the stability of the wireless links over the ocean. In particular, we investigate and capture the effects of ocean waves on the link stability through the following steps. First, we use the linear wave theory and obtain a novel stochastic model of Line-of-Sight (LoS) links over the ocean based on the realistic behavior of ocean waves. Second, we present and prove an important theorem on the level-crossing of Wide Sense Stationary (WSS) random processes, and combine that with our stochastic model of LoS links to study two important indicators of link stability, i.e., the blockage probability and the blockage and connectivity periods. The former indicates the probability that a LoS link is blocked by the ocean waves while the latter determines the duration of on/off periods of the LoS links over the ocean. The aforementioned stability parameters directly affect different stages of network design, such as choosing the antenna height, planning the sensors' deployment distances, determining the packet length, designing the retransmission and scheduling strategies in the Medium Access Control (MAC) protocols and transport layer protocols, selecting the fragmentation threshold in Internet Protocol (IP), etc., which will be discussed in the respective chapters. In the last part of our dissertation, we investigate the problem of linear prediction of ocean waves, which has special importance in the design of ocean-surface WSNs. In this regard, we first introduce a low-complexity metric for effectiveness of k-step-ahead linear prediction, which we refer to as efficiency curve. The significance of efficiency curve becomes evident when we decide upon the number of previous samples in the linear prediction model, and determine the extent to which the predictor forecasts the future. After efficiency curve, we formulate an adaptive Wiener filter to predict the ocean waves and adapt the prediction model according to the environmental changes. / Doctor of Philosophy / Covering almost three quarters of the earth and supplying half of its oxygen, oceans are vital to the support of life on our planet. It is important to continuously monitor different parts of the ocean environment for tracking climate changes, detecting pollution, etc. However, the existing monitoring approaches have serious weaknesses, which prevent us from constantly monitoring the state of ocean, and drastically limit the geographical coverage. For instance, the traditional ocean monitoring system using oceanographic research vessels is time-consuming and expensive. Besides, it has low resolution in time and space, which poses serious challenges to oceanographers by providing under-sampled records of the ocean. To compensate for these defects, one of the promising alternatives is to employ Wireless Sensor Networks (WSN) which has many advantages, such as real-time access to data for a longer period of time and a larger geographical coverage of the ocean, higher resolution of monitoring, faster processing of collected data and instantaneous transmission to onshore monitoring centers. With the benefit of simple structure sensor nodes, ocean-surface WSNs can also decrease the cost by at least one order of magnitude compared to the conventional approaches. Despite the advantages that ocean surface WSN have over traditional ocean monitoring methods, ocean surface WSN research suffers from the lack of an accurate model that describes the stability of wireless links among sensor nodes. While some of the existing literature has developed accurate models of the electromagnetic wave propagation over the ocean surface, they have failed to consider the environmental effects, such as ocean waves on the stability of the links. To fill this void, in this dissertation, we investigate ocean surface waves' effects on the Line-of-Sight (LoS) link between the sensors in an ocean-surface WSN. Specifically, we derive the blockage probability, and the blockage and connectivity periods of LoS links between a transmitter and receiver pair due to wave movements. In addition to the link stability analysis, we dedicate the last part of this dissertation to look into the problem of linear prediction of ocean waves, which has special importance in the design process of ocean-surface WSNs. In this regard, we present a low-complexity metric for effectiveness of k-step-ahead linear prediction, and formulate an adaptive Wiener filter to predict the ocean waves and adapt the prediction model according to the environmental changes.

The most useful feature used in finance of the Ornstein-Uhlenbeck (OU) stochastic process is its mean-reverting property: the OU process tends to drift towards its long- term mean (its equilibrium state) over time. This important feature makes the OU process arguably the most popular statistical model for developing best pair-trading strategies. However, optimal strategies depend crucially on the first passage time (FPT) of the OU process to a suitably chosen boundary and its probability density is not analytically available in general. Even for crossing a simple constant boundary, the FPT of the OU process would lead to crossing a square root boundary by a Brownian motion process whose FPT density involves the complicated parabolic cylinder function. To overcome the limitations of the existing methods, we propose a novel class of non-linear boundaries for obtaining optimal decision thresholds. We prove the existence and uniqueness of the maximizer of our decision rules. We also derive simple formulas for some FPT moments without analytical expressions of its density functions. We conduct some Monte Carlo simulations and analyze several pairs of stocks including Coca-Cola and Pepsi, Target and Walmart, Chevron and Exxon Mobil. The results demonstrate that our method outperforms the existing procedures.