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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Chien, Tzu-En;

    Catalytic reactions on solid surfaces have been studied under Ultra-high vacuum (UHV) conditions for decades. These studies provide crucial information for catalytic reactions, such as surface structures, adsorption sites, and reaction mechanisms. However, industrial catalysis operates under high gas pressure to increase the reaction rate, so the knowledge we learn from the previous UHV studies may not be able to directly transfer to the industry. This difference is referred to as the “pressure gap”, and it represents the difficulties that scientists encounter when attempting to investigate and comprehend catalytic reactions at high pressure. To address this issue, in situ/operando techniques and instruments have been developed to study reactions at pressures closer to real-world applications.The present thesis aims to showcase the new instrument, Near-Ambient Pressure Velocity Map Imaging (NAP-VMI), and its applications to molecular spectroscopy and surface science at near-ambient pressures. This instrument features a velocity map imaging (VMI) setup with redesigned ion optics and uses differential pumping to achieve a working pressure of 10−3 mabr. It allows time-resolved measurements at microsecond time scales using the pump-probe technique with a pulsed molecular beam and a pulsed laser. The performance is validated using N2O photodissociation and N2 surface scattering. CO oxidation on Pd(110) and Pd(100) surfaces is studied at elevated oxygen pressure (1×10−5 mbar) where the surfaces reconstruct.The results show the suppression of CO2 production in oxygen rich environments for both surfaces. The difference in kinetics and dynamics behavior between the two surfaces also suggests that surface structures and adsorption sites are important in the reaction mechanisms. These findings highlight the importance of surface structure in catalytic reactions and pave the way for more effective catalysts to be designed by tailoring surface properties and reaction conditions. Katalytiska reaktioner på fasta ytor har studerats under ultrahögt vakuum (UHV) i årtionden. Dessa studier ger avgörande information för katalytiska reaktioner, såsom ytstrukturer, adsorptionsställen och reaktionsmekanismer. Industriell katalys arbetar dock under högt gastryck för att öka reaktionshastigheten, så kunskapen vi lär oss från de tidigare UHV-studierna kanske inte direkt kan överföras till industrin. Denna skillnad kallas “tryckgapet” och den representerar de svårigheter som forskare möter när de försöker undersöka och förstå katalytiska reaktioner vid högt tryck. För att lösa detta problem har in situ/operando metoder och instrument utvecklats för att studera reaktioner vid tryck som ligger närmare verkliga tillämpningar. Den föreliggande avhandlingen syftar till att visa upp det nya instrumentet, nära-omgivande tryckhastighetskarta-avbildning (NAP-VMI) och dess tillämpningar för molekylär spektroskopi och ytvetenskap vid nära-omgivande tryck. Detta instrument har en hastighetskarta-avbildning (VMI) med omdesignadjonoptik och använder differentialpumpning för att uppnå ett arbetstryckpå 10−3 mabr. Den tillåter tidsupplösta mätningar på mikrosekunders tidsskalormed hjälp av pump-probe-teknik med pulsmolekylär stråle och pulslaser. Prestandan valideras med hjälp av N2O fotodissociation och N2 ytspridning. CO oxidation på Pd(110) och Pd(100) ytan studeras vid förhöjt syretryck (1 × 10−5 mbar) där ytorna rekonstrueras. Resultaten visar undertryckandet av CO2 produktion i syrerika miljöer för båda ytorna. Skillnaden i kinetik och dynamikbeteende mellan de två ytorna tyder också på att ytstrukturer och adsorptionsställen är viktiga i reaktionsmekanismerna. Dessa fynd framhäver vikten av ytstruktur i katalytiska reaktioner och banar väg för mer effektiva katalysatorer som kan utformas genom att skräddarsy ytegenskaper och reaktionsförhållanden. QC 20240117

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    Authors: Schleret, Lilian;

    The concept of gamification is being increasingly explored and applied to offer new teaching or training tools to teachers, students or employees. The field of geology and geometallurgy wasn’t particularly discussed in the topic of gamification. With the objective of creating a synthetic geometallurgical database and a game structure for a gamified simulation of a metal mine, the eastern part of the Malmberget deposit in Sweden was simplified and modelled.The geological model was obtained with assumptions of continuity and proximity, and the lack of data was reconciled using targeted randomization and regular statistics to achieve a smoother and realistic result. A rule book was created to establish the framework that a geometallurgy game should follow,using a slightly adapted version of the Desing thinking framework by the Nielsen group, which consists of elaborating ideas and concepts, implementing them and testing the results before integrating feedbacks to the creation of future elements. The accent was put on obtaining an interactive experience where the player can try various things with a reasonable difficulty, and an accessibility to feedbacks.The purpose of this project is to elaborate a mining simulation game, that could be a valuable tool in the understanding of the interdisciplinary concept of geometallurgy, as well as raising the awareness about sustainable development and how mining can be a part of it. The starting point of this project is another attempt at gamifying geometallurgy by P. Lamberg. The simulation of mineral processing was done using the HSC Sim utilizing 8 different flowsheets that were designed to offer a variety and enable strategic choices. The events occurring at a real mine and beneficiation plant were translated into simple rules. The outcome is a realistic geological and processing model, which through the addition of mining, economics and market strategy, becomes a comprehensive geometallurgy database.

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    Authors: Simoni, Mark U.; Drielsma, Johannes A.; Ericsson, Magnus; Gunn, Andrew G.; +5 Authors

    Global resource extraction raises concerns about environmental pressures and the security of mineral supply. Strategies to address these concerns depend on robust information on natural resource endowments, and on suitable methods to monitor and model their changes over time. However, current mineral resources and reserves reporting and accounting workflows are poorly suited for addressing mineral depletion or answering questions about the long-term sustainable supply. Our integrative review finds that the lack of a robust theoretical concept and framework for mass-balance (MB)-consistent geological stock accounting hinders systematic industry-government data integration, resource governance, and strategy development. We evaluate the existing literature on geological stock accounting, identify shortcomings of current monitoring of mine production, and outline a conceptual framework for MB-consistent system integration based on material flow analysis (MFA). Our synthesis shows that recent developments in Earth observation, geoinformation management, and sustainability reporting act as catalysts that make MB-consistent geological stock accounting increasingly feasible. We propose first steps for its implementation and anticipate that our perspective as “resource realists” will facilitate the integration of geological and anthropogenic material systems, help secure future mineral supply, and support the global sustainability transition. Validerad;2024;Nivå 2;2024-01-16 (hanlid);Funder: Norwegian University of Science and Technology;Full text license: CC BY

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    Authors: Ngoc Phuong, Chau;

    According to the World Health Organization, almost all human population (99%) lives in 117 countries with over 6000 cities, where air pollutant concentration exceeds recommended thresholds. The most common, so-called criteria, air pollutants that affect human lives, are particulate matter (PM) and gas-phase (SO2, CO, NO2, O3 and others). Therefore, many countries or regions worldwide have imposed regulations or interventions to reduce these effects. Whenever an intervention occurs, air quality changes due to changes in ambient factors, such as weather characteristics and human activities. One approach for assessing the effects of interventions or events on air quality is through the use of the Weather Normalized Model (WNM). However, current deterministic models struggle to accurately capture the complex, non-linear relationship between pollutant concentrations and their emission sources. Hence, the primary objective of this thesis is to examine the power of machine learning (ML) and deep learning (DL) techniques to develop and improve WNMs. Subsequently, these enhanced WNMs are employed to assess the impact of events on air quality. Furthermore, these ML/DL-based WNMs can serve as valuable tools for conducting exploratory data analysis (EDA) to uncover the correlations between independent variables (meteorological and temporal features) and air pollutant concentrations within the models. It has been discovered that DL techniques demonstrated their efficiency and high performance in different fields, such as natural language processing, image processing, biology, and environment. Therefore, several appropriate DL architectures (Long Short-Term Memory - LSTM, Recurrent Neural Network - RNN, Bidirectional Recurrent Neural Network - BIRNN, Convolutional Neural Network - CNN, and Gated Recurrent Unit - GRU) were tested to develop the WNMs presented in Paper I. When comparing these DL architectures and Gradient Boosting Machine (GBM), LSTM-based methods (LSTM, BiRNN) have obtained superior results in developing WNMs. The study also showed that our WNMs (DL-based) could capture the correlations between input variables (meteorological and temporal variables) and five criteria contaminants (SO2, CO, NO2, O3 and PM2.5). This is because the SHapley Additive exPlanations (SHAP) library allowed us to discover the significant factors in DL-based WNMs. Additionally, these WNMs were used to assess the air quality changes during COVID-19 lockdown periods in Ecuador. The existing normalized models operate based on the original units of pollutants and are designed for assessing pollutant concentrations under “average” or consistent weather conditions. Predicting pollution peaks presents an even greater challenge because they often lack discernible patterns. To address this, we enhanced the Weather Normalized Models (WNMs) to boost their performance specifically during daily concentration peak conditions. In the second paper, we accomplished this by developing supervised learning techniques, including Ensemble Deep Learning methods, to distinguish between daily peak and non-peak pollutant concentrations. This approach offers flexibility in categorizing pollutant concentrations as either daily concentration peaks or non-daily concentration peaks. However, it is worth noting that this method may introduce potential bias when selecting non-peak values. In the third paper, WNMs are directly applied to daily concentration peaks to predict and analyse the correlations between meteorological, temporal features and daily concentration peaks of air pollutants.

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    Authors: Bjugger, Fanny;

    Fotogrammetri och Structure-from-Motion (S-f-M) är en billig metod för att producera digitala 3D-modeller av stuffer som kan användas i olika forsknings- och undervisningssyften. Modeller av stenstuffer minskar behovet av att fysiskt ta i dem och används därför i syfte att bevara ömtåliga stuffer. Denna uppsats presenterar ett systematiskt arbetsflöde för att dokumentera stuffer genom att använda fotogrammetri och S-f-M. Manualen beskriver hur den fotogrammetriska fotostudion SOOSI (Spinning Object Optical Scanning Instrument), som finns på institutionen för geovetenskaper vid Uppsala universitet, används för att producera digitala 3D-modeller. Uppsatsen ger en bakgrund till fotogrammetri inom geovetenskapen och den beskriver kamerans och fotogrammetrins grunder. Vidare förklaras fotogrammetrins bearbetningskedja och hur datorer bidrar i den fotogrammetriska processen för att läsaren ska förstå de olika stegen i manualen. 3D-modeller producerade genom att följa arbetsättet presenteras och de olika val som kan tas när en följer manualen och dess implikationer på resultaten diskuteras. Arbetsättet skulle förbättras om ett objektiv med fast brännvidd införskaffades till fotostudion. 3D-modellernas användningsområde begränsas av att de saknar absolut skala därför presenteras ett förslag till att utveckla arbetsmetoden med hjälp av Ground Control Points (GCP:er). Photogrammetry and Structure-from-Motion (S-f-M) is a low-cost method of producing digital 3D models of rock samples that can be used for many different research and educational purposes. A 3D model of a delicate rock sample would enable the preservation of the sample and reduce the need of physical manipulation. This thesis presents a systematic workflow to document and study rock samples by using photogrammetry and S-f-M. The manual in this work describes how to use the set up SOOSI (Spinning Object Optical Scanning Instrument) found at the Department of Earth Sciences at Uppsala University to produce digital 3D models of geological samples. The thesis gives a background to photogrammetry in Earth sciences, and it presents the fundamentals of photogrammetry and the camera. It explains the processing chain of photogrammetry and how computers assist in the photogrammetric process for the reader to understand the importance of the steps in the manual. 3D models produced from following the workflow are presented as well as implications of choices that can be made when following the workflow. The addition of a fixed lens to the camera setup would improve the method’s robustness. The models are currently limited due to a lack of absolute scale. A suggestion for developing a method to capture Ground Control Points (GCPs) to solve the scale problem is presented.

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    Authors: Partos, Alma; Schöldström, Astrid;

    The purpose of this project is to simulate the detection of γ-ray spectra emitted by radon isotopes and their daughters. This is done as a contribution to the development of radiation detectors to be used in a research project investigating the possibility of using increased amounts of the radioactive gas radon as an earthquake precursor. Before the onset of an earthquake, microcracks are formed in the surrounding stone structures due to stress, releasing greater than usual amounts of radon gas contained within the rock pores. A way of predicting an upcoming earthquake would then be to place radiation detectors in areas with high seismicity in order to measure possible changes. This could be done in soil, groundwater (via springs, wells, and boreholes), or air. In this project, we aim to understand how measurements in groundwater would differ from ones in air, and how to best make use of the spectra as seen in water. This was done by simulating a scenario in which a scintillator detector, made of cesium iodide, is placed in each media and then assessing the resulting γ-ray spectra.

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    Authors: Lindström, Johanna; Mina Prodromou, Ioanna;

    Introduction The report includes a study on how environmental certification tools are used to reduce the climate impact in the construction sector. In 2020, the Swedish construction sector accounted for approximately 21 percent of Sweden´s greenhouse gas emissions. Sweden´s climate goals consist of achieving net zero by the year 2045. The aim of the study was to investigate the view of environmental certification tools. Does the environmental certification motivate to build more sustainably. The study investigated what the work with environmental certifications looks like today. Investigations into environmentally certified building projects are sufficient measures for the industry to reduce emissions and whether the environmental certification process can be simplified. Method The method used was survey and the data collection technique in this study was research interviews. The respondents were people that are working within the construction sector. The interviews were semi structured with set questions and open answers. Results The result from the collected data showed a broad view of environmental certification. The major obstacles described are cost and time for an environmental certification. The use of environmental certification to achieve the climate goals can be used as a tool but is not sufficient. To reach the climate goals and build more sustainable, changes need to come in the form off laws and regulations. Analysis The environmental certifications contribute to more sustainable construction by working with them as a tool. To be able to certify the environment, it is important that the customer wants to be certified. The environmental certifications need to develop at the same pace as the outside world to be relevant to use. The flexibility to design a building needs to be there to motivate the workers to use the environmental certifications. A motivational factor can be beneficial for workers to want to work with the environmental certifications. To build more sustainably, stricter laws and regulations are required. Discussion Environmental certifications are used more and more, but do not motivate everyone in the construction sector to build more sustainably. There are several challenges that need to be addressed to simplify the environmental certification process and to build more sustainably and reach the climate goals. Keywords Climate agreement, Construction sector, Emissions, Environmental certification, Sustainable construction

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    Authors: Eskilsson, Victor; Wahlund, Sarah;

    This thesis was conducted to get a better understanding on how the atmosphereimpacts a restaurant experience in Sweden. To investigate which factors influence arestaurant's atmosphere, the customer journey model and FAMM-model will beutilized. A qualitative research method was used, the data was collected throughsemi-structured interviews where 14 customer interviews and 2 expert interviewswere conducted. The authors started out with an deductive approach that wascombined with an inductive to create an abductive approach. The authors found thatatmosphere has a significant impact on customers' restaurant experiences where thesenses play a crucial role in creating a good experience. However, the findings aredependent on the restaurant's setting and personal perspectives from the customer.The research shows that customers priorities differently when it comes to thedifferent periods of the customers atmospheric experience journey. Where thebefore and under the service factors have different impacts depending on andprioritization. The authors can therefore see that it is important for customers thatthe restaurants communicate their atmosphere, both before and during the serviceperiod to create more satisfied customers. The authors can imply that the discoveryprovides a way for restaurants to become more competitive and create a moresatisfying atmosphere for their customers. This thesis provides an opening forfurther research on atmosphere impact on customer experience.

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    Authors: Ionascu, Augustin Ionut;

    The rapid growth of the world's urban population shows that people are increasingly moving to cities. In recent decades, the frequent occurrence of smog caused by increasing industrialization has brought environmental pollution to record highs. Therefore, the need to develop forecasting models about air quality occurs when the ambient air contains gasses, dust particles, smoke or odors in quantities large enough to be harmful to organic life. Accurate forecasts help people anticipate environmental conditions and act consequently to decrease dangerous pollution levels, reducing health impacts and associated costs. Rather than investigating deterministic models that attempt to simulate physical processes and develop complex mathematical simulations, this paper will focus on statistical methods, studying historical information and extracting information from data patterns. In looking for new reliable air quality forecasting methods, the goal was to develop and test an artifact based on the Transformer architecture, a novel technique initially developed for natural language processing tasks. Testing was performed against recurrent and convolutional, well-established deep-learning models successfully implemented in many applications, including time-series forecasting. Two different Transformer models were tested, one using time embeddings in the same manner as proposed in the original paper, while in the second model, the Time2Vec method has been adapted. The obtained results reveal that, even though not necessarily better than reference models, both Transformers could output accurate predictions and perform almost as well as recurrent and convolutional models.

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    Authors: Nzulu, Gabriel Kofi;

    Research on natural minerals and their chemical bonding to economically critical raw materials is a viable industrially relevant research area due to its increasing demand. Meeting demands requires fast, robust, and efficient techniques to explore new ore deposits and continuous operation of active mines as well as recycling. One of the most critical metals is gold which occurs in three main types of ore deposits: i) hydrothermal quartz veins and related deposits in metamorphic and igneous rocks; ii) volcanic-exhalative sulfide deposits, and iii) consolidated to unconsolidated placer deposits. Gold is commonly found as disseminated grains in quartz veins in pyrite and other sulfides or as rounded grains, flakes or nuggets in deposits in riverbanks, in contact with metamorphic or hypothermal deposits (e.g., skarns) or epithermal deposits such as volcanic fumaroles. Pathfinder elements and indicator minerals provide means to explore large areas for their potential mineral commodities such as gold, diamond, base metals, platinum group of elements, and rare earth elements by narrowing the search area to reduce exploration costs. The recent technological advancement in obtaining rapid geochemical results using field portable analytical devices as alternatives to the old approach where collected field samples are carried to the laboratory calls for further investigation to explore other techniques in mineral and metal exploration. In this Thesis, I investigate the properties of artisanal small-scale gold mining concentrate, outcrop, bulk Au, and drill hole samples from the Kubi Gold Project of the Asante Gold Corporation near Dunkwa-on-Offin in the Central Region of Ghana with a materials science perspective. X-ray diffraction (XRD) is used to identify SiO2 (quartz), Fe3O4 (magnetite), garnet, pyrite (FeS2), periclase (MgO), arsenopyrites, pyrrhotite, biotite, titanium oxide, and Fe2O3 (hematite) as the main indicator minerals in the mining site with less significant contributions from chalcopyrite, iridosmine, scheelite, tetradymite, gypsum, and a few other sulfates. X-ray photoelectron spectroscopy (XPS) and energy dispersive X-ray spectroscopy (EDX) indicate that Fe, Ag, Al, N, O, Si, Hg, C, Ba, P, Ca, Mg, Na, Mn, Cl, S, K, and Ti are important host elements that form alloys with Au or are inherent in the sediment at the concession site. The results also indicate that Si and Ag are in strong co-occurrence with Au due to their eutectic qualities, while N, C, and O occur due to their attraction to Si. Also, the XPS results indicate that the relationship between Au and pathfinder elements or indicator minerals depends on the d-orbital of Au and other elements that possess octahedral or tetrahedral geometry to split into two states, eg and t2g that can acquire either higher or lower energy depending on the geometry and are responsible for the covalent, metallic, and ionic states of Au with other ligands. From the air anneal furnace (AAF) and differential scanning calorimetry (DSC), I investigated the transformations in quartz and pyrite minerals that alter to hematite minerals. The quartz samples are observed to transform from α-quartz to β-quartz and finally to cristobalite while the pyrite transforms to magnetite and later to hematite. These findings suggest that during the hydrothermal flow regime impurity materials are trapped by voids and faults and can be altered at different depositional stages by oxidation and reduction processes. Results from the scanning electron microscopy (SEM) revealed the presence of carbonates in fracture zones in the quartz, pyrite, and almandine-type garnet mineral in gabbroic rocks. The findings indicate that, from the top of the oxide zone, grains within sediments are seen to be controlled by quartz, and hematite, the bedrock consists of pyrite and pyrrhotite, and the orebody contains garnet, arsenopyrite, periclase, and biotite as pathfinder minerals within the concession area. Therefore, the Au mineralogy of the alluvial environment that is mined by artisanal small-scale miners is traced from the chemical weathering reaction of garnet minerals from the orebody that produces fractions of other indicator minerals as by-products in the Kubi mining area. These findings also indicate that primary geochemical dispersion evolving from the crystallization of magma and hydrothermal liquids are the main attributes and constitute the identification of indicator minerals and pathfinding elements in this mineralogical study area.Furthermore, the findings suggest that XRD, XPS, TEM, and EDX could be combined in other mineralogical laboratories to aid in identifying indicator minerals of Au and the location of ore bodies, to increase the knowledge in this field, and reduce environmental and exploration costs. Funding agencies: The Swedish Energy Agency (Grant No. 43606-1), Carl Tryggers Foundation (CTS20:272), and the Swedish Government Strategic Research Area in Materials Science on Functional Materials at Linköping University (Faculty Grant SFO-Mat-LiU No. 2009 00971). Research conducted at MAX IV supported by the Swedish Research Council under contract 2018-07152, the Swedish Governmental Agency for Innovation Systems under contract 2018-04969, and Formas under contract 2019-02496. The computations were enabled by resources provided by the Swedish National Infrastructure for Computing (SNIC) at the National Supercomputer Centre (NSC) partially funded by the Swedish Research Council through Grant Agreement No. 2016-07213. Asante Gold Corporation is acknowledged for supporting my industrial Ph.D. studies at Linköping University, Sweden and for providing samples for the research of pathfinder minerals.

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    Authors: Chien, Tzu-En;

    Catalytic reactions on solid surfaces have been studied under Ultra-high vacuum (UHV) conditions for decades. These studies provide crucial information for catalytic reactions, such as surface structures, adsorption sites, and reaction mechanisms. However, industrial catalysis operates under high gas pressure to increase the reaction rate, so the knowledge we learn from the previous UHV studies may not be able to directly transfer to the industry. This difference is referred to as the “pressure gap”, and it represents the difficulties that scientists encounter when attempting to investigate and comprehend catalytic reactions at high pressure. To address this issue, in situ/operando techniques and instruments have been developed to study reactions at pressures closer to real-world applications.The present thesis aims to showcase the new instrument, Near-Ambient Pressure Velocity Map Imaging (NAP-VMI), and its applications to molecular spectroscopy and surface science at near-ambient pressures. This instrument features a velocity map imaging (VMI) setup with redesigned ion optics and uses differential pumping to achieve a working pressure of 10−3 mabr. It allows time-resolved measurements at microsecond time scales using the pump-probe technique with a pulsed molecular beam and a pulsed laser. The performance is validated using N2O photodissociation and N2 surface scattering. CO oxidation on Pd(110) and Pd(100) surfaces is studied at elevated oxygen pressure (1×10−5 mbar) where the surfaces reconstruct.The results show the suppression of CO2 production in oxygen rich environments for both surfaces. The difference in kinetics and dynamics behavior between the two surfaces also suggests that surface structures and adsorption sites are important in the reaction mechanisms. These findings highlight the importance of surface structure in catalytic reactions and pave the way for more effective catalysts to be designed by tailoring surface properties and reaction conditions. Katalytiska reaktioner på fasta ytor har studerats under ultrahögt vakuum (UHV) i årtionden. Dessa studier ger avgörande information för katalytiska reaktioner, såsom ytstrukturer, adsorptionsställen och reaktionsmekanismer. Industriell katalys arbetar dock under högt gastryck för att öka reaktionshastigheten, så kunskapen vi lär oss från de tidigare UHV-studierna kanske inte direkt kan överföras till industrin. Denna skillnad kallas “tryckgapet” och den representerar de svårigheter som forskare möter när de försöker undersöka och förstå katalytiska reaktioner vid högt tryck. För att lösa detta problem har in situ/operando metoder och instrument utvecklats för att studera reaktioner vid tryck som ligger närmare verkliga tillämpningar. Den föreliggande avhandlingen syftar till att visa upp det nya instrumentet, nära-omgivande tryckhastighetskarta-avbildning (NAP-VMI) och dess tillämpningar för molekylär spektroskopi och ytvetenskap vid nära-omgivande tryck. Detta instrument har en hastighetskarta-avbildning (VMI) med omdesignadjonoptik och använder differentialpumpning för att uppnå ett arbetstryckpå 10−3 mabr. Den tillåter tidsupplösta mätningar på mikrosekunders tidsskalormed hjälp av pump-probe-teknik med pulsmolekylär stråle och pulslaser. Prestandan valideras med hjälp av N2O fotodissociation och N2 ytspridning. CO oxidation på Pd(110) och Pd(100) ytan studeras vid förhöjt syretryck (1 × 10−5 mbar) där ytorna rekonstrueras. Resultaten visar undertryckandet av CO2 produktion i syrerika miljöer för båda ytorna. Skillnaden i kinetik och dynamikbeteende mellan de två ytorna tyder också på att ytstrukturer och adsorptionsställen är viktiga i reaktionsmekanismerna. Dessa fynd framhäver vikten av ytstruktur i katalytiska reaktioner och banar väg för mer effektiva katalysatorer som kan utformas genom att skräddarsy ytegenskaper och reaktionsförhållanden. QC 20240117

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    Authors: Schleret, Lilian;

    The concept of gamification is being increasingly explored and applied to offer new teaching or training tools to teachers, students or employees. The field of geology and geometallurgy wasn’t particularly discussed in the topic of gamification. With the objective of creating a synthetic geometallurgical database and a game structure for a gamified simulation of a metal mine, the eastern part of the Malmberget deposit in Sweden was simplified and modelled.The geological model was obtained with assumptions of continuity and proximity, and the lack of data was reconciled using targeted randomization and regular statistics to achieve a smoother and realistic result. A rule book was created to establish the framework that a geometallurgy game should follow,using a slightly adapted version of the Desing thinking framework by the Nielsen group, which consists of elaborating ideas and concepts, implementing them and testing the results before integrating feedbacks to the creation of future elements. The accent was put on obtaining an interactive experience where the player can try various things with a reasonable difficulty, and an accessibility to feedbacks.The purpose of this project is to elaborate a mining simulation game, that could be a valuable tool in the understanding of the interdisciplinary concept of geometallurgy, as well as raising the awareness about sustainable development and how mining can be a part of it. The starting point of this project is another attempt at gamifying geometallurgy by P. Lamberg. The simulation of mineral processing was done using the HSC Sim utilizing 8 different flowsheets that were designed to offer a variety and enable strategic choices. The events occurring at a real mine and beneficiation plant were translated into simple rules. The outcome is a realistic geological and processing model, which through the addition of mining, economics and market strategy, becomes a comprehensive geometallurgy database.

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    Authors: Simoni, Mark U.; Drielsma, Johannes A.; Ericsson, Magnus; Gunn, Andrew G.; +5 Authors

    Global resource extraction raises concerns about environmental pressures and the security of mineral supply. Strategies to address these concerns depend on robust information on natural resource endowments, and on suitable methods to monitor and model their changes over time. However, current mineral resources and reserves reporting and accounting workflows are poorly suited for addressing mineral depletion or answering questions about the long-term sustainable supply. Our integrative review finds that the lack of a robust theoretical concept and framework for mass-balance (MB)-consistent geological stock accounting hinders systematic industry-government data integration, resource governance, and strategy development. We evaluate the existing literature on geological stock accounting, identify shortcomings of current monitoring of mine production, and outline a conceptual framework for MB-consistent system integration based on material flow analysis (MFA). Our synthesis shows that recent developments in Earth observation, geoinformation management, and sustainability reporting act as catalysts that make MB-consistent geological stock accounting increasingly feasible. We propose first steps for its implementation and anticipate that our perspective as “resource realists” will facilitate the integration of geological and anthropogenic material systems, help secure future mineral supply, and support the global sustainability transition. Validerad;2024;Nivå 2;2024-01-16 (hanlid);Funder: Norwegian University of Science and Technology;Full text license: CC BY

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    Authors: Ngoc Phuong, Chau;

    According to the World Health Organization, almost all human population (99%) lives in 117 countries with over 6000 cities, where air pollutant concentration exceeds recommended thresholds. The most common, so-called criteria, air pollutants that affect human lives, are particulate matter (PM) and gas-phase (SO2, CO, NO2, O3 and others). Therefore, many countries or regions worldwide have imposed regulations or interventions to reduce these effects. Whenever an intervention occurs, air quality changes due to changes in ambient factors, such as weather characteristics and human activities. One approach for assessing the effects of interventions or events on air quality is through the use of the Weather Normalized Model (WNM). However, current deterministic models struggle to accurately capture the complex, non-linear relationship between pollutant concentrations and their emission sources. Hence, the primary objective of this thesis is to examine the power of machine learning (ML) and deep learning (DL) techniques to develop and improve WNMs. Subsequently, these enhanced WNMs are employed to assess the impact of events on air quality. Furthermore, these ML/DL-based WNMs can serve as valuable tools for conducting exploratory data analysis (EDA) to uncover the correlations between independent variables (meteorological and temporal features) and air pollutant concentrations within the models. It has been discovered that DL techniques demonstrated their efficiency and high performance in different fields, such as natural language processing, image processing, biology, and environment. Therefore, several appropriate DL architectures (Long Short-Term Memory - LSTM, Recurrent Neural Network - RNN, Bidirectional Recurrent Neural Network - BIRNN, Convolutional Neural Network - CNN, and Gated Recurrent Unit - GRU) were tested to develop the WNMs presented in Paper I. When comparing these DL architectures and Gradient Boosting Machine (GBM), LSTM-based methods (LSTM, BiRNN) have obtained superior results in developing WNMs. The study also showed that our WNMs (DL-based) could capture the correlations between input variables (meteorological and temporal variables) and five criteria contaminants (SO2, CO, NO2, O3 and PM2.5). This is because the SHapley Additive exPlanations (SHAP) library allowed us to discover the significant factors in DL-based WNMs. Additionally, these WNMs were used to assess the air quality changes during COVID-19 lockdown periods in Ecuador. The existing normalized models operate based on the original units of pollutants and are designed for assessing pollutant concentrations under “average” or consistent weather conditions. Predicting pollution peaks presents an even greater challenge because they often lack discernible patterns. To address this, we enhanced the Weather Normalized Models (WNMs) to boost their performance specifically during daily concentration peak conditions. In the second paper, we accomplished this by developing supervised learning techniques, including Ensemble Deep Learning methods, to distinguish between daily peak and non-peak pollutant concentrations. This approach offers flexibility in categorizing pollutant concentrations as either daily concentration peaks or non-daily concentration peaks. However, it is worth noting that this method may introduce potential bias when selecting non-peak values. In the third paper, WNMs are directly applied to daily concentration peaks to predict and analyse the correlations between meteorological, temporal features and daily concentration peaks of air pollutants.

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    Authors: Bjugger, Fanny;

    Fotogrammetri och Structure-from-Motion (S-f-M) är en billig metod för att producera digitala 3D-modeller av stuffer som kan användas i olika forsknings- och undervisningssyften. Modeller av stenstuffer minskar behovet av att fysiskt ta i dem och används därför i syfte att bevara ömtåliga stuffer. Denna uppsats presenterar ett systematiskt arbetsflöde för att dokumentera stuffer genom att använda fotogrammetri och S-f-M. Manualen beskriver hur den fotogrammetriska fotostudion SOOSI (Spinning Object Optical Scanning Instrument), som finns på institutionen för geovetenskaper vid Uppsala universitet, används för att producera digitala 3D-modeller. Uppsatsen ger en bakgrund till fotogrammetri inom geovetenskapen och den beskriver kamerans och fotogrammetrins grunder. Vidare förklaras fotogrammetrins bearbetningskedja och hur datorer bidrar i den fotogrammetriska processen för att läsaren ska förstå de olika stegen i manualen. 3D-modeller producerade genom att följa arbetsättet presenteras och de olika val som kan tas när en följer manualen och dess implikationer på resultaten diskuteras. Arbetsättet skulle förbättras om ett objektiv med fast brännvidd införskaffades till fotostudion. 3D-modellernas användningsområde begränsas av att de saknar absolut skala därför presenteras ett förslag till att utveckla arbetsmetoden med hjälp av Ground Control Points (GCP:er). Photogrammetry and Structure-from-Motion (S-f-M) is a low-cost method of producing digital 3D models of rock samples that can be used for many different research and educational purposes. A 3D model of a delicate rock sample would enable the preservation of the sample and reduce the need of physical manipulation. This thesis presents a systematic workflow to document and study rock samples by using photogrammetry and S-f-M. The manual in this work describes how to use the set up SOOSI (Spinning Object Optical Scanning Instrument) found at the Department of Earth Sciences at Uppsala University to produce digital 3D models of geological samples. The thesis gives a background to photogrammetry in Earth sciences, and it presents the fundamentals of photogrammetry and the camera. It explains the processing chain of photogrammetry and how computers assist in the photogrammetric process for the reader to understand the importance of the steps in the manual. 3D models produced from following the workflow are presented as well as implications of choices that can be made when following the workflow. The addition of a fixed lens to the camera setup would improve the method’s robustness. The models are currently limited due to a lack of absolute scale. A suggestion for developing a method to capture Ground Control Points (GCPs) to solve the scale problem is presented.

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    Authors: Partos, Alma; Schöldström, Astrid;

    The purpose of this project is to simulate the detection of γ-ray spectra emitted by radon isotopes and their daughters. This is done as a contribution to the development of radiation detectors to be used in a research project investigating the possibility of using increased amounts of the radioactive gas radon as an earthquake precursor. Before the onset of an earthquake, microcracks are formed in the surrounding stone structures due to stress, releasing greater than usual amounts of radon gas contained within the rock pores. A way of predicting an upcoming earthquake would then be to place radiation detectors in areas with high seismicity in order to measure possible changes. This could be done in soil, groundwater (via springs, wells, and boreholes), or air. In this project, we aim to understand how measurements in groundwater would differ from ones in air, and how to best make use of the spectra as seen in water. This was done by simulating a scenario in which a scintillator detector, made of cesium iodide, is placed in each media and then assessing the resulting γ-ray spectra.

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    Authors: Lindström, Johanna; Mina Prodromou, Ioanna;

    Introduction The report includes a study on how environmental certification tools are used to reduce the climate impact in the construction sector. In 2020, the Swedish construction sector accounted for approximately 21 percent of Sweden´s greenhouse gas emissions. Sweden´s climate goals consist of achieving net zero by the year 2045. The aim of the study was to investigate the view of environmental certification tools. Does the environmental certification motivate to build more sustainably. The study investigated what the work with environmental certifications looks like today. Investigations into environmentally certified building projects are sufficient measures for the industry to reduce emissions and whether the environmental certification process can be simplified. Method The method used was survey and the data collection technique in this study was research interviews. The respondents were people that are working within the construction sector. The interviews were semi structured with set questions and open answers. Results The result from the collected data showed a broad view of environmental certification. The major obstacles described are cost and time for an environmental certification. The use of environmental certification to achieve the climate goals can be used as a tool but is not sufficient. To reach the climate goals and build more sustainable, changes need to come in the form off laws and regulations. Analysis The environmental certifications contribute to more sustainable construction by working with them as a tool. To be able to certify the environment, it is important that the customer wants to be certified. The environmental certifications need to develop at the same pace as the outside world to be relevant to use. The flexibility to design a building needs to be there to motivate the workers to use the environmental certifications. A motivational factor can be beneficial for workers to want to work with the environmental certifications. To build more sustainably, stricter laws and regulations are required. Discussion Environmental certifications are used more and more, but do not motivate everyone in the construction sector to build more sustainably. There are several challenges that need to be addressed to simplify the environmental certification process and to build more sustainably and reach the climate goals. Keywords Climate agreement, Construction sector, Emissions, Environmental certification, Sustainable construction

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    Authors: Eskilsson, Victor; Wahlund, Sarah;

    This thesis was conducted to get a better understanding on how the atmosphereimpacts a restaurant experience in Sweden. To investigate which factors influence arestaurant's atmosphere, the customer journey model and FAMM-model will beutilized. A qualitative research method was used, the data was collected throughsemi-structured interviews where 14 customer interviews and 2 expert interviewswere conducted. The authors started out with an deductive approach that wascombined with an inductive to create an abductive approach. The authors found thatatmosphere has a significant impact on customers' restaurant experiences where thesenses play a crucial role in creating a good experience. However, the findings aredependent on the restaurant's setting and personal perspectives from the customer.The research shows that customers priorities differently when it comes to thedifferent periods of the customers atmospheric experience journey. Where thebefore and under the service factors have different impacts depending on andprioritization. The authors can therefore see that it is important for customers thatthe restaurants communicate their atmosphere, both before and during the serviceperiod to create more satisfied customers. The authors can imply that the discoveryprovides a way for restaurants to become more competitive and create a moresatisfying atmosphere for their customers. This thesis provides an opening forfurther research on atmosphere impact on customer experience.

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    Authors: Ionascu, Augustin Ionut;

    The rapid growth of the world's urban population shows that people are increasingly moving to cities. In recent decades, the frequent occurrence of smog caused by increasing industrialization has brought environmental pollution to record highs. Therefore, the need to develop forecasting models about air quality occurs when the ambient air contains gasses, dust particles, smoke or odors in quantities large enough to be harmful to organic life. Accurate forecasts help people anticipate environmental conditions and act consequently to decrease dangerous pollution levels, reducing health impacts and associated costs. Rather than investigating deterministic models that attempt to simulate physical processes and develop complex mathematical simulations, this paper will focus on statistical methods, studying historical information and extracting information from data patterns. In looking for new reliable air quality forecasting methods, the goal was to develop and test an artifact based on the Transformer architecture, a novel technique initially developed for natural language processing tasks. Testing was performed against recurrent and convolutional, well-established deep-learning models successfully implemented in many applications, including time-series forecasting. Two different Transformer models were tested, one using time embeddings in the same manner as proposed in the original paper, while in the second model, the Time2Vec method has been adapted. The obtained results reveal that, even though not necessarily better than reference models, both Transformers could output accurate predictions and perform almost as well as recurrent and convolutional models.

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    Authors: Nzulu, Gabriel Kofi;

    Research on natural minerals and their chemical bonding to economically critical raw materials is a viable industrially relevant research area due to its increasing demand. Meeting demands requires fast, robust, and efficient techniques to explore new ore deposits and continuous operation of active mines as well as recycling. One of the most critical metals is gold which occurs in three main types of ore deposits: i) hydrothermal quartz veins and related deposits in metamorphic and igneous rocks; ii) volcanic-exhalative sulfide deposits, and iii) consolidated to unconsolidated placer deposits. Gold is commonly found as disseminated grains in quartz veins in pyrite and other sulfides or as rounded grains, flakes or nuggets in deposits in riverbanks, in contact with metamorphic or hypothermal deposits (e.g., skarns) or epithermal deposits such as volcanic fumaroles. Pathfinder elements and indicator minerals provide means to explore large areas for their potential mineral commodities such as gold, diamond, base metals, platinum group of elements, and rare earth elements by narrowing the search area to reduce exploration costs. The recent technological advancement in obtaining rapid geochemical results using field portable analytical devices as alternatives to the old approach where collected field samples are carried to the laboratory calls for further investigation to explore other techniques in mineral and metal exploration. In this Thesis, I investigate the properties of artisanal small-scale gold mining concentrate, outcrop, bulk Au, and drill hole samples from the Kubi Gold Project of the Asante Gold Corporation near Dunkwa-on-Offin in the Central Region of Ghana with a materials science perspective. X-ray diffraction (XRD) is used to identify SiO2 (quartz), Fe3O4 (magnetite), garnet, pyrite (FeS2), periclase (MgO), arsenopyrites, pyrrhotite, biotite, titanium oxide, and Fe2O3 (hematite) as the main indicator minerals in the mining site with less significant contributions from chalcopyrite, iridosmine, scheelite, tetradymite, gypsum, and a few other sulfates. X-ray photoelectron spectroscopy (XPS) and energy dispersive X-ray spectroscopy (EDX) indicate that Fe, Ag, Al, N, O, Si, Hg, C, Ba, P, Ca, Mg, Na, Mn, Cl, S, K, and Ti are important host elements that form alloys with Au or are inherent in the sediment at the concession site. The results also indicate that Si and Ag are in strong co-occurrence with Au due to their eutectic qualities, while N, C, and O occur due to their attraction to Si. Also, the XPS results indicate that the relationship between Au and pathfinder elements or indicator minerals depends on the d-orbital of Au and other elements that possess octahedral or tetrahedral geometry to split into two states, eg and t2g that can acquire either higher or lower energy depending on the geometry and are responsible for the covalent, metallic, and ionic states of Au with other ligands. From the air anneal furnace (AAF) and differential scanning calorimetry (DSC), I investigated the transformations in quartz and pyrite minerals that alter to hematite minerals. The quartz samples are observed to transform from α-quartz to β-quartz and finally to cristobalite while the pyrite transforms to magnetite and later to hematite. These findings suggest that during the hydrothermal flow regime impurity materials are trapped by voids and faults and can be altered at different depositional stages by oxidation and reduction processes. Results from the scanning electron microscopy (SEM) revealed the presence of carbonates in fracture zones in the quartz, pyrite, and almandine-type garnet mineral in gabbroic rocks. The findings indicate that, from the top of the oxide zone, grains within sediments are seen to be controlled by quartz, and hematite, the bedrock consists of pyrite and pyrrhotite, and the orebody contains garnet, arsenopyrite, periclase, and biotite as pathfinder minerals within the concession area. Therefore, the Au mineralogy of the alluvial environment that is mined by artisanal small-scale miners is traced from the chemical weathering reaction of garnet minerals from the orebody that produces fractions of other indicator minerals as by-products in the Kubi mining area. These findings also indicate that primary geochemical dispersion evolving from the crystallization of magma and hydrothermal liquids are the main attributes and constitute the identification of indicator minerals and pathfinding elements in this mineralogical study area.Furthermore, the findings suggest that XRD, XPS, TEM, and EDX could be combined in other mineralogical laboratories to aid in identifying indicator minerals of Au and the location of ore bodies, to increase the knowledge in this field, and reduce environmental and exploration costs. Funding agencies: The Swedish Energy Agency (Grant No. 43606-1), Carl Tryggers Foundation (CTS20:272), and the Swedish Government Strategic Research Area in Materials Science on Functional Materials at Linköping University (Faculty Grant SFO-Mat-LiU No. 2009 00971). Research conducted at MAX IV supported by the Swedish Research Council under contract 2018-07152, the Swedish Governmental Agency for Innovation Systems under contract 2018-04969, and Formas under contract 2019-02496. The computations were enabled by resources provided by the Swedish National Infrastructure for Computing (SNIC) at the National Supercomputer Centre (NSC) partially funded by the Swedish Research Council through Grant Agreement No. 2016-07213. Asante Gold Corporation is acknowledged for supporting my industrial Ph.D. studies at Linköping University, Sweden and for providing samples for the research of pathfinder minerals.

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