Relevant bibliographies by topics / ADM1

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Academic literature on the topic 'ADM1'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 April 2022

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Journal articles on the topic "ADM1"

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Groth, Dawid, Izabela Poplawska, Marlena Tynecka, Kamil Grubczak, Jordan Holl, Aleksandra Starosz, Adrian Janucik, et al. "Abdominoplasty Skin-Based Dressing for Deep Wound Treatment—Evaluation of Different Methods of Preparation on Therapeutic Potential." Pharmaceutics 13, no. 12 (December 8, 2021): 2118. http://dx.doi.org/10.3390/pharmaceutics13122118.

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The management of hard-to-heal wounds is a significant clinical challenge. Acellular dermal matrices (ADMs) have been successfully introduced to enhance the healing process. Here, we aimed to develop protocol for the preparation of novel ADMs from abdominoplasty skin. We used three different decellularization protocols for skin processing, namely, 1M NaCl and sodium dodecyl sulfate (SDS, in ADM1); 2M NaCl and sodium dodecyl sulfate (SDS, in ADM1); and a combination of recombinant trypsin and Triton X-100 (in hADM 3). We assessed the effectiveness of decellularization and ADM’s structure by using histochemical and immunochemical staining. In addition, we evaluated the therapeutic potential of novel ADMs in a murine model of wound healing. Furthermore, targeted transcriptomic profiling of genes associated with wound healing was performed. First, we found that all three proposed methods of decellularization effectively removed cellular components from abdominoplasty skin. We showed, however, significant differences in the presence of class I human leukocyte antigen (HLA class I ABC), Talin 1/2, and chondroitin sulfate proteoglycan (NG2). In addition, we found that protocols, when utilized differentially, influenced the preservation of types I, III, IV, and VII collagens. Finally, we showed that abdominoplasty skin-derived ADMs might serve as an effective and safe option for deep wound treatment. More importantly, our novel dressing (ADM1) improves the kinetics of wound closure and scar maturation in the proliferative and remodeling phases of wound healing. In conclusion, we developed a protocol for abdominoplasty skin decellularization suitable for the preparation of biological dressings. We showed that different decellularization methods affect the purity, structure, and therapeutic properties of ADMs.
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Yasui, H., K. Komatsu, R. Goel, Y. Y. Li, and T. Noike. "Evaluation of state variable interface between the Activated Sludge Models and Anaerobic Digestion Model no 1." Water Science and Technology 57, no. 6 (March 1, 2008): 901–7. http://dx.doi.org/10.2166/wst.2008.070.

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For plant wide modelling of wastewater treatment, it is necessary to develop a suitable state variables interface for integrating state of the art models of ASM and ADM1. ADM1 currently describes such an interface, however, its suitability needs to be experimentally evaluated. In this study, we characterised activated sludge under aerobic and anaerobic conditions to obtain representative state variables for both models. ASM state variables of XS, XH and XI (as obtained from aerobic tests) and ADM1 state variables of XC and XI (as obtained from anaerobic tests) were then correlated to assess the suitability of current interface. Based on the seven datasets of this study and seven datasets from literatures, it was found that in general ASM state variables were well correlated to the state variables of ADM1. The ADM1 state variable of XC could be correlated to the sum of state variables of XS and XH, while XI in both the models showed direct correspondence. It was also observed that the degradation kinetics of XC under anaerobic condition could be better described by individual degradation kinetics of XS and XH. Therefore, to establish a one to one correspondence between ASM and ADM1 state variables and better description of degradation kinetics in ADM1, replacing the composite variable of XC by the state variables of XS and XH is recommended.
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Shang, Y., B. R. Johnson, and R. Sieger. "Application of the IWA Anaerobic Digestion Model (ADM1) for simulating full-scale anaerobic sewage sludge digestion." Water Science and Technology 52, no. 1-2 (July 1, 2005): 487–92. http://dx.doi.org/10.2166/wst.2005.0557.

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A steady-state implementation of the IWA Anaerobic Digestion Model No. 1 (ADM1) has been applied to the anaerobic digesters in two wastewater treatment plants. The two plants have a wastewater treatment capacity of 76,000 and 820,000 m3/day, respectively, with approximately 12 and 205 dry metric tons sludge fed to digesters per day. The main purpose of this study is to compare the ADM1 model results with full-scale anaerobic digestion performance. For both plants, the prediction of the steady-state ADM1 implementation using the suggested physico-chemical and biochemical parameter values was able to reflect the results from the actual digester operations to a reasonable degree of accuracy on all parameters. The predicted total solids (TS) and volatile solids (VS) concentration in the digested biosolids, as well as the digester volatile solids destruction (VSD), biogas production and biogas yield are within 10% of the actual digester data. This study demonstrated that the ADM1 is a powerful tool for predicting the steady-state behaviour of anaerobic digesters treating sewage sludges. In addition, it showed that the use of a whole wastewater treatment plant simulator for fractionating the digester influent into the ADM1 input parameters was successful.
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Feng, Y., J. Behrendt, C. Wendland, and R. Otterpohl. "Parameter analysis of the IWA Anaerobic Digestion Model No. 1 for the anaerobic digestion of blackwater with kitchen refuse." Water Science and Technology 54, no. 4 (August 1, 2006): 139–47. http://dx.doi.org/10.2166/wst.2006.535.

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The IWA anaerobic digestion model No.1 (ADM1) had been successfully applied to the lab-scale mesophilic blackwater anaerobic digestion (BWAD) plant for cases of only blackwater (BW) feeding and of BW plus kitchen refuse (KR) feeding. In this paper, the simulation results of BW+KR anaerobic digestion are presented and discussed, followed by the analyses and discussion of the critical and important parameters as well as the performance of ADM1 based on these results. The raw BW can contain up to 30% short chain fatty acids (SCFA) which severely impact the performance of the model. The model proved that the disintegration/hydrolysis rate of BW is around 4.5 d−1, which is about ten times higher than that of KR (Kdis,KR=0.5 d−1). ADM1 is not sensitive to the distribution ratio among carbohydrates, proteins and lipids. For BWAD the C4 metabolism can be integrated in the uptake of LCFA. The uptake delay phenomenon was observed and cannot be simulated by ADM1, but it is tolerable. No unique KI,NH3,ac is found out for all investigated ammonia concentration ranges. Meanwhile, ADM1 is not sensitive to KLa and kp, so they can easily be set up.
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Huber, Patrick, Christophe Neyret, and Eric Fourest. "Implementation of the anaerobic digestion model (ADM1) in the PHREEQC chemistry engine." Water Science and Technology 76, no. 5 (May 26, 2017): 1090–103. http://dx.doi.org/10.2166/wst.2017.282.

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Anaerobic digestion is state-of-the-art technology to treat sludge and effluents from various industries. Modelling and optimisation of digestion operations can be advantageously performed using the anaerobic digestion model (ADM1) from the International Water Association. The ADM1, however, lacks a proper physico-chemical framework, which makes it difficult to consider wastewater of complex ionic composition and supersaturation phenomena. In this work, we present a direct implementation of the ADM1 within the PHREEQC chemistry engine. This makes it possible to handle ionic strength effects and ion-pairing. Thus, multiple mineral precipitation phenomena can be handled while resolving the ADM1. All these features can be accessed with very little programming effort, while retaining the full power and flexibility of PHREEQC. The distributed PHREEQC code can be easily interfaced with process simulation software for future plant-wide simulation of both wastewater and sludge treatment.
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Lopez-Vazquez, Carlos M., Mayank Mithaiwala, Moustafa S. Moussa, Mark C. M. van Loosdrecht, and Damir Brdjanovic. "Coupling ASM3 and ADM1 for wastewater treatment process optimisation and biogas production in a developing country: case-study Surat, India." Journal of Water, Sanitation and Hygiene for Development 3, no. 1 (March 1, 2013): 12–25. http://dx.doi.org/10.2166/washdev.2013.017.

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The overall performance of the Anjana wastewater treatment plant (WWTP) located in Surat, India, was assessed by coupling the Activated Sludge Model No. 3 (ASM3) and the Anaerobic Digestion Model No. 1 (ADM1). Guidelines developed by the Dutch Foundation for Applied Water Research (STOWA) were successfully applied for the determination of wastewater characteristics. Concerning the fractionation of primary and secondary sludge, the approach proved to be adequate for the application of ADM1. A satisfactory description of the performance of the plant was obtained in terms of effluent quality, biogas generation and sludge production. This was achieved through coupling ASM3 with ADM1 and adjusting four default values (the growth of autotrophic bacteria from 1 to 0.46 day−1, influent fraction of unbiodegradable particulate chemical oxygen demand (COD) to 0.14 gCOD/gCOD, and the anaerobic disintegration factors for soluble and particulate unbiodegradable COD in ADM1 to 0.01 and 0.29 gCOD/gCOD, respectively). The model was applied to optimise the plant performance and to assess the potential influence of the return of high strength reject effluents through the implementation of an ADM1-ASM3 interface. This study underlines the feasibility, advantages and benefits of mathematical modelling as a reliable tool for process optimisation, plant upgrade and resource recovery in developing countries.
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Rosen, C., D. Vrecko, K. V. Gernaey, M. N. Pons, and U. Jeppsson. "Implementing ADM1 for plant-wide benchmark simulations in Matlab/Simulink." Water Science and Technology 54, no. 4 (August 1, 2006): 11–19. http://dx.doi.org/10.2166/wst.2006.521.

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The IWA Anaerobic Digestion Model No.1 (ADM1) was presented in 2002 and is expected to represent the state-of-the-art model within this field in the future. Due to its complexity the implementation of the model is not a simple task and several computational aspects need to be considered, in particular if the ADM1 is to be included in dynamic simulations of plant-wide or even integrated systems. In this paper, the experiences gained from a Matlab/Simulink implementation of ADM1 into the extended COST/IWA Benchmark Simulation Model (BSM2) are presented. Aspects related to system stiffness, model interfacing with the ASM family, mass balances, acid-base equilibrium and algebraic solvers for pH and other troublesome state variables, numerical solvers and simulation time are discussed. The main conclusion is that if implemented properly, the ADM1 will also produce high-quality results in dynamic plant-wide simulations including noise, discrete sub-systems, etc. without imposing any major restrictions due to extensive computational efforts.
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Kleerebezem, R., and M. C. M. Van Loosdrecht. "Waste characterization for implementation in ADM1." Water Science and Technology 54, no. 4 (August 1, 2006): 167–74. http://dx.doi.org/10.2166/wst.2006.538.

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Wastewater characterization as required for implementation in ADM1 is based on the identification of the numerous concentrations of the specific compounds defined in ADM1. However, identification of the individual substrate concentrations requires specific analytical techniques and in most cases only general measurements like COD, TOC, and organic nitrogen are available. This paper describes a simple method for calculation of the lumped elemental composition of the organic substrates in the wastewater from a limited number of widely available analyses. Using the elemental composition of the lumped substrate and the elemental composition of the substrates defined in the model, the influent composition as required for input in ADM1 can be calculated. Furthermore, proper waste characterization allows for an initial analysis of the biogas flow rate and composition as well as the reactor pH that can be achieved upon organic substrate degradation, as will be demonstrated. It is hoped that the methods described in this paper will stimulate and simplify future application of ADM1.
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Peiris, B. R. H., P. G. Rathnasiri, J. E. Johansen, A. Kuhn, and R. Bakke. "ADM1 simulations of hydrogen production." Water Science and Technology 53, no. 8 (April 1, 2006): 129–37. http://dx.doi.org/10.2166/wst.2006.243.

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Hydrogen can be produced by fermentation of organic wastes as a renewable CO2 emission free fuel. The production potential as a function of feed composition is investigated using the ADM1 and experimental data from the literature. Lactate and ethanol are included in the model as intermediates to simulate the bio-hydrogen production processes more closely. Simulated effects of carbohydrate to protein ratio in the feed on pH, H2, biomass and fatty acid production using standard model parameters compare quite well with experimental results. The overall hydrogen and biomass production corresponds well with measurements for some feeds and less for others. The maximum theoretical yield is significantly higher than the simulated and measured values and is highest when the feed consists of only carbohydrates. The analysis suggests that the modified ADM1 is capable of simulating the main mechanisms involved in biological hydrogen production processes, implying that the model can be used to identify, and find strategies to influence limiting factors in bio-hydrogen production processes. Model weaknesses regarding the acidogenesis processes are observed and areas for further improvements discussed.
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Patón, Mauricio, and Jorge Rodríguez. "Integration of bioenergetics in the ADM1 and its impact on model predictions." Water Science and Technology 80, no. 2 (July 15, 2019): 339–46. http://dx.doi.org/10.2166/wst.2019.279.

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Abstract In this work, the integration of dynamic bioenergetic calculations in the IWA Anaerobic Digestion Model No. 1 (ADM1) is presented. The impact of bioenergetics on kinetics was addressed via two different approaches: a thermodynamic-based inhibition function and variable microbial growth yields based on dynamic Gibbs free energy calculations. The dynamic bioenergetic calculations indicate that the standard ADM1 predicts positive reaction rates under thermodynamically unfeasible conditions. The dissolved hydrogen inhibition approach used in ADM1 is, however, deemed as adequate, offering the trade-off of not requiring dynamic bioenergetics computation despite the need of hydrogen inhibition parameters. Simulations of the model with bioenergetics showed the low amount of energy available in butyrate and propionate oxidation, suggesting that microbial growth on these substrates must be very limited or occur via alternative mechanisms rather than dissolved hydrogen.
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Dissertations / Theses on the topic "ADM1"

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Queen, André Sampaio. "Simulador de reatores anaeróbios com base no ADM1." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/3/3139/tde-04092006-170243/.

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Primeiramente, esse trabalho pretende esclarecer a importância de pesquisas em modelagem, simulação e controle nos processos de tratamento de efluentes e apontar o atraso do Brasil nesta área de pesquisa comparado ao avanço das iniciativas internacionais. O trabalho apresenta o problema específico da modelagem dos processos anaeróbios e propõe uma nova ferramenta de simulação de regime permanente para esses sistemas, desde digestores de lodo a reatores UASB. O simulador se baseia no ADM1 (Anaerobic Digestion Model No 1), modelo proposto pela IWA em 2002, e está implementado em C++. A intenção é disponibilizar livremente um software de simulação com o diferencial de uma metodologia e interface gráfica amigável, capaz de trazer para o dia-a-dia do profissional da área toda a sofisticação de uma modelagem mais completa, tanto do ponto de vista microbiológico como físico-químico. A metodologia proposta se mostrou muito eficiente para a obtenção da condição de regime permanente, fazendo com que a caracterização do afluente se tornasse a etapa limitante do processo de simulação. O método desenvolvido é tão eficaz que permite que sejam realizadas simulações com afluentes e reatores hipotéticos, tornando possível estudos desvinculados da necessidade de análises laboratoriais complexas ou fora do comum.
First, this work intends to show the importance of research in modeling, simulation and control of wastewater treatment processes, and to point the delay of our country (Brazil) in this subject, compared to the advance of the international initiatives. This work presents the specific problem of modeling the anaerobic digestion and proposes a new tool to simulate the steady state condition in anaerobic reactors. The simulator is based on the ADM1 (Anaerobic Digestion Model No 1), developed by IWA in 2002, and is implemented in C++. The intention is to give free access to a new simulation software with the advantages of better methodology and friendly graphical interface. This tool should be able to bring to the professionals all the sophistication of a more complete modelling in the microbiological and physical-chemical point of view. The developed methodology revealed itself to be very efficient for the attainment of the steady state condition. Consequently, it makes the characterization of the influent the critic stage of the simulation process. The developed method is so efficient that allows simulation studies to be carried out using hypothetical influents and reactors. Thus, it brings independence for simulation studies with no need of complex or unusual laboratorial analyses.
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Nguyen, Hoa Huu. "Modelling of food waste digestion using ADM1 integrated with Aspen Plus." Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/375082/.

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The aim of this research was to produce an integrated modelling platform in which an anaerobic digester could be linked to the other unit operations which serve it, both in maintaining the physical-chemical conditions in the digester and in transforming the digestion products to useful fuel and nutrient sources. Within these system boundaries an accurate mass and energy balance could be determined and further optimised, particularly where the desired energy products are a mix of heat, power, and biomethane. The anaerobic digestion of food waste was choosen as the subject of the research because of its growing popularity and the availability of validation data. Like many other organic substrates, food waste is potentially a good source of renewable energy in the form of biogas through anaerobic digestion. A number of experimental studies have, however, reported difficulties in the digestion of this material which may limit the applicability of the process. These arise from the complexity of the biochemical processes and the interaction between the microbial groups that make up the anaerobic community. When using food waste there is a tendency to accumulate intermediate volatile fatty acid products, and in particular propionic acid, which eventually causes the pH to drop and the digester to fail. Two factors are important in understanding and explaining the changes in the biochemical process that leads to this condition. The first is due to the differential in sensitivity to free ammonia of the two biochemical pathways that lead to methane formation. The acetoclastic methanogenic route is inhibited at a lower concentration than the hydrogenotrophic route, and methane formation therefore occurs almost exclusively via acetate oxidation to CO2 and H2 at high free ammonia concentrations. The accumulation of propionic acid is thought to be because formate, a product of its degradation, cannot be converted to CO2 and H2 as the necessary trace elements to build a formate dehydrogenase enzyme complex are missing. The Anaerobic Digestion Model No. 1 (ADM1) was modified to reflect ammonia inhibition of acertoclastic methanogenesis and an acetate oxidation pathway was added. A further modification was included which allowed a 'metabolic switch' to operate in the model based on the availability of key trace elements. This operated through the H2 feedback inhibition route rather than creating a new set of equations to consider formate oxidation in its own right: the end result is, however, identical in modelling terms. With these two modifications ADM1 could simulate experimental observations from food waste digesters where the total ammoniacal nitrogen(TAN) concentration exceeded 4 gN l-1. Under these conditions acetate accumulation is first seen, followed by proprionate accumulation, but with the subsequent decrease in acetate until a critical pH is reached. The ADM1 model was implemented in MATLAB with these modifications incorporated. The second part of the research developed an energy model which linked ADM1 to the mechanical processes for biogas upgrading, Combined Heat and Power (CHP)production, and the digester mixing system. The energy model components were developed in the framework of the Aspen Plus modelling platform, with sub-units for processes not available in the standard Aspen Package being developed in Fortran, MS Excel or using the Aspen Simulation Workbook (ASW). This integration of the process components allows accurate sizing of the CHP and direct heating units required for an anaerobic digestion plant designed for fuel grade methane production. Based on the established model and its sub-modules, a number of case studies were developed. To this end the modified ADM1 was applied to mesophilic digestion of Sugar Beet Pulp to observe how the modified ADM1 responded to different substrate types. Secondly, to assess the capability of adding further mechanical processes the model was used to integrate and optimise single stage biogas upgrading. Finally, the digestion of food waste in the municipal solid waste stream of urban areas in Vietnam was considered.
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Silva, Flávio Gonzaga Castro Santos. "Modelização dinâmica do processo de digestão anaeróbia utilizando o modelo ADM1." Master's thesis, Universidade de Aveiro, 2007. http://hdl.handle.net/10773/548.

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Mestrado em Engenharia do Ambiente
O presente trabalho propõe a aplicação de um modelo dinâmico para descrever o processo de tratamento anaeróbio, baseado no modelo ADM1. O estudo de modelização compreendeu a designação de variáveis implicadas no processo biológico, a implementação computacional, em duas plataformas informáticas distintas, das equações cinéticas que o descrevem e ainda a verificação do seu desempenho através de simulações para diferentes cenários, entre os quais um ensaio laboratorial semi-contínuo estudando a degradação anaeróbia de um efluente específico gerado numa indústria de pasta de papel pelo processo ao sulfito. Uma análise de incerteza efectuada ao modelo permitiu identificar os parâmetros que mais influenciam o comportamento das variáveis simuladas: a taxa máxima de degradação de acetato (km_ac), o factor de conversão de acetato em biomassa (Y_ac) e a constante de semi-saturação de degradação do acetato (Ks_ac). Após uma estimação destes parâmetros, o modelo foi validado com base no ajuste das simulações a resultados experimentais resultantes da operação laboratorial de um segundo reactor anaeróbio semi-contínuo, utilizado para o estudo de uma condição alimentada distinta – a degradação anaeróbia do mesmo efluente, com adição suplementar de uma fonte de carbono externa. Conclui-se que o modelo simula relativamente bem a maioria das variáveis implicadas no processo específico de degradação – eficiência de remoção de matéria orgânica, produção de metano, etc. -, apesar destas revelarem alguma sensibilidade a alguns dos parâmetros especificados nas equações do processo anaeróbio. Em geral, nas cargas orgânicas mais elevadas, o modelo desenvolvido tende a desviar-se ligeiramente dos valores de algumas variáveis de estado, subestimando a eficiência de remoção de matéria orgânica. Será necessário proceder a uma calibração mais exacta para tornar possível a aplicação prática das simulações, recorrendo a dados reais. O esforço de modelização constitui assim uma ferramenta que pode ser utilizada na previsão do desempenho de operações de tratamento anaeróbio à escala industrial, quer em condições estacionárias, quer em condições de elevada variação de carga orgânica. Através da simulação é possível desenvolver prognósticos detalhados e estratégias de controlo de reactores anaeróbios que, de outra forma, só poderiam ser determinadas por medições experimentais dispendiosas e demoradas. ABSTRACT: This work presents the application of a dynamic model describing the anaerobic treatment process, based on ADM1 model. The modelling study consisted of setting the biological process variables, the computational implementation of its kinetic equations into two different software applications, as well as model verification by simulating it for different frameworks, one of those was the laboratorial operation of a semi-continuous assay testing the anaerobic degradation of an effluent generated in a sulphite pulp mill. An uncertainty analysis permitted the identification of the most influential parameters on the behaviour of simulated variables: maximum specific acetate uptake rate (km_ac), yield of biomass on acetate (Y_ac) and half-saturation constant for acetate uptake (Ks_ac). After parameter estimation, the model was validated by means of the simulation fitting to experimental data sets from the laboratorial operation of a second semi-continuous reactor, used for studying a different feed condition – the anaerobic degradation of the same effluent using an external carbon source addition. It was concluded that the model simulates quite well some of the variables implied on the specific degradation process – organic matter removal, methane production, etc. -, although they revealed some sensitivity to a large number of parameters embedded on the anaerobic process equations. In general, in the higher organic loads, the implemented model trends to deviate slightly the values for several state variables, underestimating the organic matter removal efficiency. It is then necessary to accurately calibrate the mathematical model on existing real data in order to be possible the application of the simulation results in practice. The modelling efforts can be a valuable tool predicting the performance at fullscale treatment operations, either in steady-state conditions, or in changeable organic load conditions. Through simulation it is then possible to develop detailed prognosis and control strategies for several influent characteristics and operation conditions in the anaerobic reactors, which otherwise could only be determined by time-consuming and expensive measurement phases.
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Bareha, Younès. "Modélisation des processus de transformation de l'azote en digestion anaérobie : application à l'optimisation de la valorisation des digestats." Thesis, Rennes 1, 2018. http://www.theses.fr/2018REN1B067/document.

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La valorisation des déchets par digestion anaérobie conduit à la production d’un résidu, appelé digestat, qui est composé de la matière organique non biodégradée et présente une forte teneur en azote ammoniacal et organique. De par cette richesse en azote, les digestats présentent un intérêt grandissant pour la substitution aux engrais minéraux. L’objectif de cette thèse est de comprendre les transformations de l’azote en digestion anaérobie afin de prédire la qualité azotée des digestats. Cette compréhension des processus de transformation de l’azote ouvrira la possibilité de dimensionner et piloter le procédé de digestion anaérobie pour une substitution optimisée des engrais minéraux par les digestats. Pour cela, deux approches ont été développées: (i) une approche compréhensive centrée sur la compréhension de la bioaccessibilité de l’azote organique en lien avec sa biodégradabilité, et la compréhension des transformations de l’azote en digestion anaérobie en conditions de laboratoire et pilote; et ; (ii) une approche numérique où les processus identifiés ont été intégrés à des outils de modélisation à bases statistiques et biocinétiques permettant de prédire les propriétés azotées des digestats en fonction des cocktails de substrats et du temps de séjour dans le digesteur
Energetic recovery of waste by anaerobic digestion leads to the production of a residue called digestate, which is composed of non-biodegraded organic matter and has a high content of ammoniacal and organic nitrogen. Due to this high nitrogen content, digestates are growing interest for the substitution of mineral fertilizers. The objective of this thesis is to understand the transformations of nitrogen that occur during anaerobic digestion in order to predict the nitrogen quality of digestates. This understanding of nitrogen transformation processes will allows the design and management of anaerobic digestion plants aiming at the optimization of the substitution of mineral fertilizers by digestates. To this end, two approaches were used in this work: (i) an experiment approach focused on the understanding of the bioaccessibility of organic nitrogen in relation to its biodegradability, and the understanding of the transformations of nitrogen in anaerobic digestion under laboratory and pilot conditions; and; (ii) a numerical approach where previously developed knowledge has been integrated in statistical and biokinetic modeling tools to predict the nitrogen properties of digestates according to substrate cocktails and residence time in the digester
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JACOB, Sâmia Moreira. "Aplicação do modelo ADM1 na biodigestão anaeróbia da vinhaça para a produção de hidrogênio utilizando a plataforma EMSO." Universidade Federal de Alfenas, 2014. https://bdtd.unifal-mg.edu.br:8443/handle/tede/607.

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A produção brasileira de etanol atinge volumes superiores a 20 bilhões de litros ao ano, sendo que para cada litro de álcool produzido são gerados cerca de 13 litros de vinhaça, resíduo do processo de destilação para obtenção do etanol. Devido à alta concentração de carga orgânica desse resíduo, algumas propostas para destinação deste é o reaproveitamento dessa matéria por meio da fertirrigação, porém, esta atividade ao longo do tempo confere ao solo e aos mananciais próximos características indesejáveis. Considerando o grande volume de vinhaça produzido, é necessário que novas tecnologias tragam soluções e melhores resultados para o tratamento desse resíduo com alta carga orgânica. O tratamento anaeróbio da vinhaça vem demonstrando ser uma linha de tecnologia muito vantajosa entre as possíveis opções de tratamento. Além conseguir uma remoção aproximada de 50% da carga orgânica desse resíduo, há a geração de metano e hidrogênio, gases combustíveis que podem ser reaproveitados como energia no processo. Entendendo, portanto, essa necessidade, este estudo realizou a avaliação de um modelo cinético adaptado, tendo como base o ADM1, através da sua simulação na plataforma EMSO, analisando as variáveis e coeficientes que regem a cinética da fase acidogênica para a produção de hidrogênio. Nos modelos avaliados, para o reator em batelada foi possível verificar uma previsão da tendência das reações com o modelo, apresentando, para o consumo de substrato avaliado entre os dados do modelo e os dados experimentais um r² de 0,97. A produção de hidrogênio avaliada para o reator em batelada teve convergência com os resultados experimentais avaliados, apresentando r² de 0,95. Dessa forma, o modelo batelada conseguiu prever os dados experimentais ao longo do tempo. Para o modelo APBR, os dados modelados conseguiram convergir com a curva do modelo para os dados de pH, com variação média em 9% entre os valores. Não foi possível chegar a uma conclusão sobre o modelo conseguir descrever o comportamento do reator para a produção de hidrogênio e consumo de substrato, visto que os dados experimentais não apresentaram uma tendência, de qualquer forma, a variação entre os valores experimentais e modelados para as duas variáveis foi de 7%.
The ethanol production in Brazil overtake volumes of 20 billion of litters per year and for each litter of alcohol is produced about 13 litter of vinasse, waste from distillation for alcohol production. Due the high charge of organic matter in this waste, some proposals for the destination of vinasse is the reuse of this in the fertigation, although this activity over time provide to soil and water sources nearby undesirable characteristics with respect to quality. Taking account the volume of produced vinasse, it´s necessary that new technology bring solutions and better results for the treatment of this waste with high charge of organic matter. The vinasse anaerobic treatment has been showing as an option of technology very advantageous among the other possibilities of treatment. The treatment gets about 50% of organic matter removal and also can produce hydrogen and methane, two combustion gases that have the possibility of them use as energy in the process. In this context, new studies for the feasibility and structuring of the factor and variables of the vinasse treatment process bring great benefits and readiness for the real application. Understanding, therefore, this requirement, the research realize an evaluation of a kinetic personalized model, based on ADM1, through the simulation in EMSO platform, finding the parameters and calibrating the variables e coefficients that takes the kinetics of acidogenic stage for the hydrogen production. In a model built for batch reactor, was possible to verify the preview of reaction’s tendency, showing, for the substrate uptake data, comparing between the experimental data and the model data a r² of 0,97. The hydrogen production evaluated for the batch reactor had a convergence with the experimental results, getting a r² of 0,95. In this way, the batch model could preview the experimental data over time. For APBR, the modified model results was able to converge with the experimental data for pH, with a variation of 9% between the values. It has not been possible to reach a conclusion if the model can describe the behavior of the reactor for hydrogen production and consumption of substrate, whereas the experimental data did not show a trend, anyway, the variation between experimental and modeled values for both variables was about 7%.
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Demitry, Morris Elya. "Anaerobic Digestion Process Stability and the Extension of the ADM1 for Municipal Sludge Co-Digested with Bakery Waste." DigitalCommons@USU, 2016. https://digitalcommons.usu.edu/etd/4945.

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Uncertainty about anaerobic digestion process stability is the main issue preventing more widespread use of the process as a source of energy recovery in wastewater treatment facilities. The overall objective of this research was to study the feasibility of enhancing biogas production inside wastewater facilities using co-digestion of municipal sludge with bakery waste. Another objective was to improve the stability index and a mathematical model that can be useful tools to predict the process stability of municipal sludge digestion alone, and when it is mixed with bakery waste, as a substrate for microorganisms. Experiments were conducted in three phases. In phase 1, a full-scale anaerobic digester at Central Weber Sewer Improvement District, Ogden, UT, receiving a mixture of primary and secondary sludge, was monitored for one hundred days. Chemical oxygen demand (COD), and volatile solids (VS) mass balances were conducted to evaluate the stability of the digester and its capability of producing methane gas. The COD mass balance accounted for nearly 90% of the methane gas produced while the VS mass balance showed that 91% of the organic matter removed resulted in biogas formation. Other parameters monitored included: pH, alkalinity, VFA, and propionic acid. The values of these parameters showed that the digester was running under stable steady state conditions. At mesophilic temperature, the stability index was determined and equal to 0.40 L (CH4)/ g(ΔVS) In phase 2, the feasibility of adding BW to MS was tested in batch reactors scale. The biogas production was enhanced and the digester was stable until the range of 37- 40% of BW to 63-60% of MS. The ADM1 coefficients were modified to accurately predict the digester performance. The modified model outputs (pH, VFA, and methane) were within acceptable ranges when compared with the observed data from the batch reactors. In phase 3, the feasibility of MS and BW were tested using an Induced Bed Reactor (IBR) with a 50:50% ratio of MS:BW (COD basis). The process was stable during different hydraulic retention times and the ADM1 was modified to predict the stability of the process in the IBR.
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Poggio, Davide Antonio. "Modification and experimental calibration of ADM1 for modelling the anaerobic digestion of solid wastes in demand driven applications." Thesis, University of Leeds, 2015. http://etheses.whiterose.ac.uk/13299/.

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This thesis is an exploration into the modelling of anaerobic digestion (AD) with a focus on its integration into a microgrid for rural electrification. The work investigated the improvement of Anaerobic Digestion Model No 1 (ADM1) in order to better describe the kinetics of biogas production in an AD system with particular focus on substrate characterisation, codigestion and the mechanisms of inhibition. The resulting model was used to investigate the possible role of AD in microgrid systems. A novel biochemical and kinetic fractionation method was developed in order to fully characterise any substrate and produce the required input parameters into the a modified version of ADM1. The method uses a combination of analytical and digestion batch tests and was applied to food waste, green waste, pig manure and oat processing residues. The fractionation method was validated using measurements from semi-continuous laboratory scale digesters, operated with varying substrate combinations and loading rates. The model was able to suitably predict the methane production rate and the typical off-line measurements in AD systems, except during periods of high organic loading rate where biochemical inhibition became an important phenomenon. Possible inhibiting mechanisms were investigated by model based analysis of the experimental data characterised by inhibition, and a possible inhibition mechanism was proposed and integrated in the ADM1 model. Microgrid modelling software HOMER was used alongside the updated version of ADM1 in order to perform a benchmark of various operational and control strategies for the demand-driven operation of an AD system integrated in a microgrid. Different biogas demand profiles were considered. In the case of a biogas demand profile with low variability it was found that simple operational strategies could be used, with limited required biogas storage buffer and without causing process instabilities. With more variable demand profiles, an expert control system was needed in order to reduce the biogas storage requirements and guarantee process stability.
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Silva, Carlos Eduardo Pereira Mendes da. "Modelagem matemática e simulação da remoção simultânea de carbono e nitrogênio em reator anaeróbico-anóxico: uma aplicação do ADM1." Universidade Federal da Bahia. Escola Politécnica, 2015. http://repositorio.ufba.br/ri/handle/ri/19400.

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Esta tese tem como objetivo principal avaliar a remoção simultânea de carbono e nitrogênio (RSCN) em reator anaerobio-anoxico por meio da modelagem matem atica e simulação. Na primeira etapa da pesquisa, o Anaerobic Digestion Model No. 1 (ADM1) foi implementado no software Matlab/Simulink e ajustado aos dados experimentais obtidos a partir de um digestor anaerobio utilizado para estabilizaçãao do lodo de esgoto doméstico. Os resultados mostram uma boa concordãncia entre os dados experimentais e os simulados para as concentraçãao de propionato, acetato, produção e composição de biogás e pH, corroborando a potencialidade de utilização do modelo para prever o comportamento dos processos biológicos de digestão anaerobia. Na segunda etapa, foi desenvolvida uma extensão do ADM1 incluindo o processo de desnitricação, para simular o efeito do tempo de detenção hidráulica (TDH) e da relação DQO/NO􀀀 3 na RSCN em um reator anaerobio-anoxico tratando aguas residuárias doméstica. O modelo foi calibrado com dados experimentais previamente publicados e obtidos a partir de ensaios em bateladas. Os experimentos foram conduzidos em reatores operados em bateladas, alimentados com substrato sintético (1500mg DQO.L􀀀1) e inoculados com lodo oculento (500 mg SSV.L􀀀1) proveniente de um reator UASB. Diferentes concentrações de nitrato de potássio foram adicionadas nos reatores a m de obter relações de DQO/NO􀀀 3 de 40 e 150, respectivamente. Adicionalmente, foram realizadas simulações para avaliar a RSCN em um reator anaer obio-an oxico operado em regime contínuo considerando 6 cenários diferentes. Os cenários propostos foram baseados na caracterização afluente típica de águas residuárias doméstica. O modelo foi calibrado satisfatoriamente e os resultados simulados revelaram que o melhor cenário para ocorrência da RSCN foi com a relação DQO/NO􀀀3 e TDH iguais a 10 e 15 horas, respectivamente. Por m na terceira etapa, o modelo ADM1 foi adaptado para avaliar a RSCN em um reator anaerobio-anoxico tratando aguas residuárias sintética simulando efluente de processamento de pescado. O modelo foi calibrado e validado a partir de dados experimentais obtidos em ensaios em bateladas. Os resultados simulados mostraram boa aderência aos dados experimentais, com um erro médio absoluto variando entre 15 e 38% na calibração e 19 e 36% na validação. Os resultados obtidos nessa pesquisa mostraram que as adaptações do ADM1 para RSCN de águas residuárias de origens doméstica e de processamento de pescado podem ser utilizadas como uma ferramenta para melhor compreensão da RSCN, permitindo a definição de melhores condições de operação e processo.
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Lundwall, Ted. "Thermophilic anaerobic digestion of municipal wastewater sludges: A pilot scale evaluation with model assistance." Thesis, KTH, Kemiteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301609.

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I takt med att städerna växer ökar belastningen på de kommunala avloppsreningsverken. Käppalaförbundet förutspår att antalet anslutna personekvivalenter till Käppalaverket kommer att öka med över 160 % under de kommande tre decennierna. En ökad belastning leder till en större mängd slam som måste behandlas. Detta görs idag med stabilisering genom mesofil rötning samt efterföljande avvattning och hygienisering. Samtidigt finns ett behov av hållbara energikällor i samhället, dit avloppsreningsverken bidrar genom tillhandahålla energirik biogas som biprodukt från rötningen.  Utrötningsgraden är beroende av slammets uppehållstid i rötkammaren och uppehållstiden kommer att bli kortare i takt med att belastningen ökar. Termofil rötning har identifierats som ett möjligt alternativ till inköp av ytterligare rötkammarvolym då metoden har rapporterats ge en snabbare stabilisering och därmed ett likvärdig resultat med kortare uppehållstid. Dessutom finns indikationer för att termofil rötning kan producera en större mängd biogas per enhet organiskt material i jämförelse med mesofil rötning. För att utreda huruvida Käppalaförbundet kan åtnjuta dessa fördelar har ett termofilt rötningsförsök bedrivits i pilotskala.  Pilotanläggningen bestod av en 5 m³ rötkammare som matades semikontinuerligt med 65 mass% primärslam och 35 mass% överskottsslam. Försöket inleddes med en temperaturövergång från en mesofil ymp till termofila betingelser, följt av att processen tilläts acklimatisera. Processen drevs därefter under tre uppehållstider med en längd på 18 dygn vardera. Samtliga driftparametrar härleddes i den mån det var möjligt från fullskalig slambehandling på Käppalaverket. De experimentella resultaten jämfördes med simuleringsresultat baserade på den matematiska modellen Anaerobic Digestion Model No. 1. Temperaturövergången och acklimatiseringen utfördes med framgång. Vid referensbelastningen var utrötningsgraden 54.4 % och den specifika metanproduktionen var 0.221 Nm3 CH4/kgVS, vilket var otillräckligt för att överträffa den mesofila, fullskaliga processen. Försöket indikerade att proteiner bryts ned lättare i en termofil process. Vidare observerades avtagande processtabilitet och försämrade avvattningsegenskaper hos rötresten.
As cities grow, the load on the municipal wastewater treatment plants increases. The Käppala Association predicts that the number of population equivalents connected to the Käppala Wastewater Treatment Plant will increase by over 160 % in the coming three decades. An increased load leads to a larger amount of sludge that must be treated. This is done today with stabilization through mesophilic anaerobic digestion and subsequent dewatering and hygienization. At the same time, there is a need for sustainable energy sources in society, to which wastewater treatment plants contribute by providing energy-rich biogas as a by-product from the anaerobic digestion. The degree of digestion is dependent on the retention time of the sludge in the digester and the retention time will become shorter as the load increases. Thermophilic anaerobic digestion has been identified as a possible alternative to the investment of additional digester volume as the method has been reported to provide a faster stabilization and thus an equivalent result with a shorter retention time. In addition, there are indications that thermophilic anaerobic digestion is able to produce a larger amount of biogas per unit of organic material in comparison with mesophilic anaerobic digestion. To evaluate whether the Käppala Association can enjoy these benefits, a thermophilic anaerobic digestion experiment has been conducted on a pilot scale. The pilot plant included a 5 m³ digester which was fed semi-continuously with 65 mass% primary sludge and 35 mass% waste activated sludge. The experiment began with a temperature transition from a mesophilic inoculum to thermophilic conditions, followed by allowing the process to acclimatize. The process was operated thereafter for three retention times with a length of 18 days each. All process parameters were derived as far as possible from the full-scale sludge treatment at Käppala Wastewater Treatment Plant. The experimental results were compared with simulation results based on the mathematical model Anaerobic Digestion Model No. 1. The temperature transition and acclimatization was performed successfully. At reference load, the degree of digestion was 54.4 % and specific methane production was 0.221 Nm3 CH4/kgVS, which was not enough to overcome the mesophilic full-scale process. Indications pointed towards proteins being more easily digested in a thermophilic process. Furthermore, deteriorating process stability and dewaterability of the digestate was observed.
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Schlattmann, Markus Verfasser], Hermann [Akademischer Betreuer] [Auernhammer, Heinz [Akademischer Betreuer] Bernhardt, and Harald [Akademischer Betreuer] Horn. "Weiterentwicklung des „Anaerobic Digestion Model (ADM1)“ zur Anwendung auf landwirtschaftliche Substrate / Markus Schlattmann. Gutachter: Heinz Bernhardt ; Harald Horn. Betreuer: Hermann Auernhammer." München : Universitätsbibliothek der TU München, 2011. http://d-nb.info/1015029957/34.

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Books on the topic "ADM1"

1

Hussain, Intizar. Akhri admi. Lahore: Sange-i-Mil, 1987.

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Ahmad, Y. Gumshuda admi. Delhi: Takhleeqar, 2003.

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Yad, Mansha. Darakht admi. Lahore: Pakistan Books & Literary Sounds, 1990.

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Mansur, Talok. Una admi. Amritsar: Kavi Sahit, 1990.

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Siddiqi, Shankat. Tisra admi. Karachi: Rekitab, 1986.

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Chughtai, I. Ajib admi. Delhi: Kitabi dunya, 2002.

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HUSSAIN, Zulekha. Admi sur sikke. New Delhi: Ahluwalia Book Depot, 1989.

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Sohail, Khalid. Tuta huva admi. Canada: Creative Links, 1990.

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Nagar, Vishnu. Admi swarg mein. [S.l.]: [s.n.], 2004.

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Anand, Vikki. Andhere ka admi. Delhi: Diamond, 1991.

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Book chapters on the topic "ADM1"

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Patón, M., and J. Rodríguez. "Dynamic Thermodynamic Simulation of ADM1 Validates the Hydrogen Inhibition Approach and Suggests an Unfeasible Butyrate Degradation Pathway." In Lecture Notes in Civil Engineering, 260–65. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58421-8_41.

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Dowty, Martin E., Dean M. Messing, Yurong Lai, and Leonid Leo Kirkovsky. "ADME." In ADMET for Medicinal Chemists, 145–200. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470915110.ch4.

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Böning, Dieter, Michael I. Lindinger, Damian M. Bailey, Istvan Berczi, Kameljit Kalsi, José González-Alonso, David J. Dyck, et al. "ADMA." In Encyclopedia of Exercise Medicine in Health and Disease, 25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-29807-6_14425.

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Nahler, Gerhard. "ADME." In Dictionary of Pharmaceutical Medicine, 3. Vienna: Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_29.

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Winter-Nelson, Alex, Mindy Spencer, Sarah Schwartz, and Ashley Nagele. "ADMI Village." In Postharvest Extension and Capacity Building for the Developing World, 139–49. Boca Raton, Florida : CRC Press, [2019] | Series: World Food Preservation Center book series: CRC Press, 2018. http://dx.doi.org/10.1201/9781315115771-14.

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Mertsch, Katharina, Martin Will, Werngard Czechtizky, Niels Griesang, Alexander Marker, and Jacob Olsen. "ADME Profiling." In Small Molecule Medicinal Chemistry, 353–77. Hoboken, NJ: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781118771723.ch13.

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Milton, John. "Adaptation." In Handbook of Translation Studies, 3–6. Amsterdam: John Benjamins Publishing Company, 2010. http://dx.doi.org/10.1075/hts.1.ada1.

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Valdés, Cristina. "Advertising translation." In Handbook of Translation Studies, 1–5. Amsterdam: John Benjamins Publishing Company, 2011. http://dx.doi.org/10.1075/hts.2.adv1.

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Verschueren, Jef, and Frank Brisard. "Adaptability." In Handbook of Pragmatics, 1–24. Amsterdam: John Benjamins Publishing Company, 2003. http://dx.doi.org/10.1075/hop.8.ada1.

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Layton, William J., and Leo G. Rebholz. "Phenomenology of ADMs." In Approximate Deconvolution Models of Turbulence, 89–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24409-4_4.

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Conference papers on the topic "ADM1"

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Ferreira, Hellen Lívia Oliveira Catunda, Tyane Mayara Ferreira de Oliveira, Cícero Mendes Siqueira, Ana Izabel Oliveira Nicolau, Thais Marques Lima, Leilane Barbosa de Souza, Paula Renata Amorim Lessa Soares, Samila Gomes Ribeiro, Priscila de Souza Aquino, and Ana Karina Bezerra Pinheiro. "Atitude de adolescentes do Nordeste brasileiro acerca da vacinação contra papilomavírus humano." In XIII Congresso da Sociedade Brasileira de DST - IX Congresso Brasileiro de AIDS - IV Congresso Latino Americano de IST/HIV/AIDS. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/dst-2177-8264-202133p066.

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Introdução: O conhecimento acerca do papilomavírus humano e de sua vacinação é incipiente em diversas populações. Conhecimento e atitude apropriados estão relacionados à adesão adequada da vacinação contra papilomavírus humano, que é o principal causador do câncer de colo uterino. Objetivo: Comparar atitude entre adolescentes de dois municípios do Nordeste brasileiro acerca da vacinação contra papilomavírus humano. Métodos: Estudo descritivo, comparativo, realizado de agosto/2018 a janeiro/2020 com 238 meninas adolescentes entre 9–14 anos de escolas públicas de dois municípios cearenses (AdM1/ AdM2), sendo 120 do M1 e 118 do M2. Realizou-se teste de McNemar com nível descritivo de 5%. Considerou-se atitude adequada caso as adolescentes relatassem que tomariam a vacina. Aprovou-se o estudo sob parecer n. 2.645.679. Resultados: Sobre vacinas em geral (p=0,993), a porcentagem entre os dois municípios foi bastante equivalente, apresentando um pensamento positivo. Contudo, AdM1 acreditam mais que vacinas sejam muito necessárias e devam ser obrigatórias (50,9%), enquanto AdM2 afirmam que, apesar de serem necessárias, cada um deve tomar se quiser e se tiver dinheiro para pagar (52,6%). O questionamento sobre tomar vacina em campanha de vacinação foi significante (p=0,024), tendo AdM1 relatarado que tomariam se fosse de graça (59,5%) e AdM2 que tomariam mesmo se tivessem que pagar (57,8%). Entretanto, ressalta-se que, entre as que não tomariam, 61,5% eram AdM2. Já em relação à vacinação específica contra papilomavírus humano (p=0,281), AdM1 referiram, em maior porcentagem, que tomariam se tivessem mais informações a respeito (52,6%). Das que não tomariam vacina contra papilomavírus humano, AdM2 apresentaram maioria (73,3%). A avaliação da atitude foi adequada em 51,9% das AdM1 e inadequada em 63,6% das AdM2 (p=0,166). Conclusão: Observou-se que AdM1 apresentaram melhor atitude em relação à vacinação contra papilomavírus humano. Fica evidente, ainda, necessidade de ações educativas para fortalecer conhecimento e atitude diante dessa vacinação específica a fim de elevar suas taxas entre adolescentes.
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Bredvold Karlsen, Vibeke, Nirmal Ghimire, Rune Bakke, and Wenche Hennie Bergland. "Anaerobic Digestion of Hemicellulosic Sugars Implemented in ADM1." In SIMS Conference on Simulation and Modelling SIMS 2020, September 22-24, Virtual Conference, Finland. Linköping University Electronic Press, 2021. http://dx.doi.org/10.3384/ecp20176287.

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Raya, Dheeraj, Nirmal Ghimire, Gudny Øyre Flatabø, and Wenche Hennie Bergland. "Anaerobic Digestion of Aqueous Pyrolysis Liquid in ADM1." In The First SIMS EUROSIM Conference on Modelling and Simulation, SIMS EUROSIM 2021, and 62nd International Conference of Scandinavian Simulation Society, SIMS 2021, September 21-23, Virtual Conference, Finland. Linköping University Electronic Press, 2022. http://dx.doi.org/10.3384/ecp21185458.

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Nikbakht Kenarsari, Zahra, Nirmal Ghimire, Rune Bakke, and Wenche Hennie Bergland. "Thermophilic Anaerobic Digestion Modeling of Lignocellulosic Hot Water Extract using ADM1." In The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden. Linköping University Electronic Press, 2020. http://dx.doi.org/10.3384/ecp20170125.

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Lei Xue, Dewei Li, and Yugeng Xi. "Nonlinear model predictive control of anaerobic digestion process based on reduced ADM1." In 2015 10th Asian Control Conference (ASCC). IEEE, 2015. http://dx.doi.org/10.1109/ascc.2015.7244539.

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Hassam, S., B. Cherki, E. Ficara, and J. Harmand. "Towards a systematic approach to reduce complex bioprocess models - Application to the ADM1." In 2012 20th Mediterranean Conference on Control & Automation (MED 2012). IEEE, 2012. http://dx.doi.org/10.1109/med.2012.6265699.

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Bo Zhang, Kathleen R Fowler, Matthew D Grace, Sumona Mondal, and Stefan J Grimberg. "Optimization of Anaerobic Digestion Model No. 1 (ADM1): Simulation of Dairy Manure Digestion." In 2009 Reno, Nevada, June 21 - June 24, 2009. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2009. http://dx.doi.org/10.13031/2013.29187.

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Zhou, Xuefei, Yalei Zhang, Xuanjun Zhang, Ming Jiang, and Rao Y. Surampalli. "Modeling an Anaerobic Reactor with an Outside Recycling Line for Municipal Wastewater Treatment by Modified Anaerobic Digestion Model No. 1 (ADM1)." In 2009 3rd International Conference on Bioinformatics and Biomedical Engineering (iCBBE). IEEE, 2009. http://dx.doi.org/10.1109/icbbe.2009.5163068.

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Huang, Feihu, Shangqian Gao, Songcan Chen, and Heng Huang. "Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/354.

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Alternating direction method of multipliers (ADMM) is a popular optimization tool for the composite and constrained problems in machine learning. However, in many machine learning problems such as black-box learning and bandit feedback, ADMM could fail because the explicit gradients of these problems are difficult or even infeasible to obtain. Zeroth-order (gradient-free) methods can effectively solve these problems due to that the objective function values are only required in the optimization. Recently, though there exist a few zeroth-order ADMM methods, they build on the convexity of objective function. Clearly, these existing zeroth-order methods are limited in many applications. In the paper, thus, we propose a class of fast zeroth-order stochastic ADMM methods (\emph{i.e.}, ZO-SVRG-ADMM and ZO-SAGA-ADMM) for solving nonconvex problems with multiple nonsmooth penalties, based on the coordinate smoothing gradient estimator. Moreover, we prove that both the ZO-SVRG-ADMM and ZO-SAGA-ADMM have convergence rate of $O(1/T)$, where $T$ denotes the number of iterations. In particular, our methods not only reach the best convergence rate of $O(1/T)$ for the nonconvex optimization, but also are able to effectively solve many complex machine learning problems with multiple regularized penalties and constraints. Finally, we conduct the experiments of black-box binary classification and structured adversarial attack on black-box deep neural network to validate the efficiency of our algorithms.
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Yu, Yue, and Longbo Huang. "Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/470.

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We consider the stochastic composition optimization problem proposed in \cite{wang2017stochastic}, which has applications ranging from estimation to statistical and machine learning. We propose the first ADMM based algorithm named com SVR ADMM, and show that com SVR ADMM converges linearly for strongly convex and Lipschitz smooth objectives, and has a convergence rate of $O(\logS/S)$, which improves upon the $O(S^{-4/9})$ rate in \cite{wang2016accelerating} when the objective is convex and Lipschitz smooth. Moreover, com SVR ADMM possesses a rate of $O(1/\sqrt{S})$ when the objective is convex but without Lipschitz smoothness. We also conduct experiments and show that it outperforms existing algorithms.
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Reports on the topic "ADM1"

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Kennedy, Alan, Jonathon Brame, Taylor Rycroft, Matthew Wood, Valerie Zemba, Charles Weiss, Matthew Hull, Cary Hill, Charles Geraci, and Igor Linkov. A definition and categorization system for advanced materials : the foundation for risk-informed environmental health and safety testing. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41803.

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Novel materials with unique or enhanced properties relative to conventional materials are being developed at an increasing rate. These materials are often referred to as advanced materials (AdMs) and they enable technological innovations that can benefit society. Despite their benefits, however, the unique characteristics of many AdMs, including many nanomaterials, are poorly understood and may pose environmental safety and occupational health (ESOH) risks that are not readily determined by traditional risk assessment methods. To assess these risks while keeping up with the pace of development, technology developers and risk assessors frequently employ risk-screening methods that depend on a clear definition for the materials that are to be assessed (e.g., engineered nanomaterial) as well as a method for binning materials into categories for ESOH risk prioritization. In this study, we aim to establish a practitioner-driven definition for AdMs and a practitioner-validated framework for categorizing AdMs into conceptual groupings based on material characteristics. The definition and categorization framework established here serve as a first step in determining if and when there is a need for specific ESOH and regulatory screening for an AdM as well as the type and extent of risk-related information that should be collected or generated for AdMs and AdM-enabled technologies.
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Kerrigan, W. Analytical Data Management System (ADMS). Office of Scientific and Technical Information (OSTI), May 1987. http://dx.doi.org/10.2172/6845581.

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Freeling, M. A genetic analysis of Adh1 regulation. Office of Scientific and Technical Information (OSTI), January 1992. http://dx.doi.org/10.2172/5821489.

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Raszmann, Emma, Kumaraguru Prabakar, Soumya Tiwari, Ismael Mendoza, Harsha Padullaparti, Barry Mather, Deepthi Vaidhynathan, Jim Li, Mike Brozek, and Mar Tarres. Enabling Realistic Communications Evaluations for ADMS. Office of Scientific and Technical Information (OSTI), September 2021. http://dx.doi.org/10.2172/1821624.

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Davis, Brian, Ross Henning, Kyle Henik, Levi Benning, Joseph R. Vanstrom, and Jacek A. Koziel. ADM Demonstration Model Sifter. Ames: Iowa State University, Digital Repository, April 2018. http://dx.doi.org/10.31274/tsm416-180814-34.

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Agalgaonkar, Yashodhan P., Maria C. Marinovici, Subramanian V. Vadari, Kevin P. Schneider, and Ronald B. Melton. ADMS State of the Industry and Gap Analysis. Office of Scientific and Technical Information (OSTI), March 2016. http://dx.doi.org/10.2172/1427928.

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Tanner, David B., and Neil Sullivan. The “Gen 2” Axion Dark Matter Experiment (ADMX). Office of Scientific and Technical Information (OSTI), April 2019. http://dx.doi.org/10.2172/1508642.

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Lee, S. Y. Evaluation of Sludge Removal Capabilities for ADMP Mixer in Tank 18. Office of Scientific and Technical Information (OSTI), July 2003. http://dx.doi.org/10.2172/816622.

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Freeling, M. A genetic analysis of Adh1 regulation. Progress report, June 1991--February 1992. Office of Scientific and Technical Information (OSTI), March 1992. http://dx.doi.org/10.2172/10124127.

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Rosenberg, Leslie J. Final Report for the ADMX Phase 2a Project at the University of Washington. Office of Scientific and Technical Information (OSTI), August 2015. http://dx.doi.org/10.2172/1212273.

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