On the Bleeding Edge : Debloating Internet Access Networks

As ever more devices are connected to the internet, and applications turn ever more interactive, it becomes more important that the network can be counted on to respond reliably and without unnecessary delay. However, this is far from always the case today, as there can be many potential sources of unnecessary delay. In this thesis we focus on one of them: Excess queueing delay in network routers along the path, also known as bufferbloat. We focus on the home network, and treat the issue in three stages. We examine latency variation and queueing delay on the public internet and show that significant excess delay is often present. Then, we evaluate several modern AQM algorithms and packet schedulers in a residential setting, and show that modern AQMs can almost entirely eliminate bufferbloat and extra queueing latency for wired connections, but that they are not as effective for WiFi links. Finally, we go on to design and implement a solution for bufferbloat at the WiFi link, and also design a workable scheduler-based solution for realising airtime fairness in WiFi. Also included in this thesis is a description of Flent, a measurement tool used to perform most of the experiments in the other papers, and also used widely in the bufferbloat community.

Instrumentos de apoio à gestão estratégica e ao desempenho organizacional dos fisioterapeutas em unidades privadas de fisioterapia

O sucesso de uma gestão baseada na estratégia reside, no aproveitamento racional e eficiente dos seus recursos humanos, financeiros e organizacionais, bem como na sua capacidade para concretizar objectivos e alcançar resultados. Esta dissertação foi elaborada baseando-se no pressuposto que, a selecção e a aplicação de um Instrumento de Apoio à Gestão em unidades privadas de fisioterapia (UPF’s) permitirão induzir níveis acrescidos de melhoria do desempenho individual e/ou organizacional. Constituiu objectivo geral da mesma contribuir para a sensibilização e a difusão alargada das ferramentas de apoio à gestão que, aplicadas naquelas unidades, poderiam induzir níveis acrescidos de melhoria do desempenho. Definiram-se ainda três objectivos específicos consubstanciando preocupações relacionadas com a reprodução do conhecimento especializado em gestão, com a sua aplicação específica no terreno e com a subjacente criação de valor individual e organizacional. A metodologia utilizada foi a abordagem de Estudo de Caso, inspirada na técnica focus-group, aplicada a três UPF’s, e os resultados obtidos através das análises efectuadas permitiram identificar a ausência da aplicação de instrumentos de apoio à gestão e de avaliação de desempenho, bem como níveis elevados de desempenho, satisfação e autonomia nos profissionais de fisioterapia, constituindo estes a base para justificar a necessidade urgente da elaboração de um plano de implementação de um sistema de avaliação de desempenho nas unidades estudadas. /ABSTRACT: The success of a management based on strategy relies in the rational and efficient use of its human, financial and organizational resources, as well as its ability to achieve objectives and results. This thesis was developed, based on the assumption that the selection and application of a management support instrument in private physiotherapy units would induce higher levels of individual performance and / or organization. It was general objective the contribution to the sensibilization and diffusion of tools to support management, which applied in those units, could induce higher levels of performance. There were defined three specific objectives which concerned whereabouts with the reproduction of specialized knowledge in management, with its specified applicability in the work field and with the underneath creation of individual and organizational value. The applied methodology was a case study, inspired by the focus-group technique applied in three private physiotherapy units, and the results obtained through the analysis allowed the identification of lack of use of any support management tools and performance evaluation, as well as high standard levels of performance, satisfaction and professional autonomy in physical therapists, being this the base for justifying the urgent need for developing an implementation plan of a performance evaluation system applied to these units.

O sistema integrado de gestão de recursos humanos de uma empresa de tecnologias de informação

O presente trabalho final de mestrado pretende realizar uma análise crítica acerca do estágio curricular desenvolvido no Departamento de Recursos Humanos de uma empresa ligada ao setor das Tecnologias de Informação. Este relatório procura, através da identificação e descrição de métodos e estratégias implementadas pela empresa, que têm como finalidade potencializar o capital humano da organização, estabelecer uma relação entre os diferentes processos de Gestão de Recursos Humanos, interligando-os. Funcionando como um sistema integrado, pretende-se descrever as atividades realizadas no processo de recrutamento e seleção, de acolhimento e integração, de gestão administrativa/contratual, de gestão de desempenho e de formação e desenvolvimento profissional. Em suma, importa salientar que apesar de os processos de Gestão de Recursos Humanos da companhia terem procedimentos devidamente identificados, existe necessidade de promover práticas de melhorias no que concerne ao controlo interno dos mesmos; Abstract: The Integrated Human Resource Management of an Information Technology company This final work of master aims to realize a critical analysis about the internship developed in the Human Resources Department of Information Technology company. This report seeks, through the identification and description of methods and strategies implemented by the company, which are intended to enhance the human capital of the organization, establish a relationship between the different Human Resource Management processes, connecting them. Functioning as an integrated system, is intended to describe the activities in the process of recruitment and selection, reception and integration, administrative/contract management, performance management and training and professional development. In short, it should be noted that although Human Resource Management processes of the company have properly identified procedures, there is need to promote improved practices with regard to internal monitoring.

Composição botânica e qualidade do pasto selecionado por ovelhas em caatinga raleada e enriquecida.

Resumo: O presente estudo foi conduzido com o objetivo de determinar a composição botânica e a qualidade da dieta selecionada por ovelhas, através da técnica de micro-histologia fecal, em caatinga raleada e enriquecida com capim massai (Panicum maximum cv. Massai), recebendo diferentes quantidades de concentrado (0; 200; 350 e 500 g de concentrado por dia), e em diferentes períodos do ano (águas, transição água-seca e seca). Foram estimados também o consumo e digestibilidade dos nutrientes, bem como a degradabilidade de espécies forrageiras ingeridas pelas ovelhas. Os experimentos foram realizados na Fazenda Crioula do Meio, pertencente a Embrapa Caprinos e Ovinos em Sobral, CE no período de março a novembro de 2013. No Experimento 1, para a determinação da composição botânica e qualidade da dieta selecionada, foram utilizadas dezesseis ovelhas Somalis brasileira, gestantes, multíparas e peso médio de 30,58+2,48 kg. O acompanhamento da ingestão do pasto pelas ovelhas foi feito em três períodos (águas, transição água-seca e seca), referentes aos meses de abril, junho e agosto de 2013, respectivamente. Amostras das plantas foram coletadas para o preparo das lâminas de referência, e posterior identificação e caracterização dos descritores epidérmicos. O mesmo foi feito para as fezes coletadas nas ovelhas. Com base na proporção de cada espécie identificada nas lâminas fecais que compuseram a dieta, e na composição química das forrageiras identificadas, foi possível determinar a qualidade da dieta ingerida. De 76 espécies observadas no pasto, 33 foram identificadas na dieta das ovelhas, destacando as espécies sabiá (Mimosa caesalpiniaefolia), centrosema (Centrosema sp.), ervanço (Alternanthera brasiliana), massai (Panicum maximum cv Massai) e paco-paco (Wissadula rostrata) como as mais selecionadas pelos animais ao longo dos períodos, chegando a compor mais de 50% da dieta selecionada. Com a chegada do período seco, espécies indesejáveis como o marmeleiro (Croton sonderianus) e o mofumbo (Combretum lepreosum), também fizeram parte das plantas selecionadas. Quanto ao valor nutritivo da dieta selecionada, os animais selecionaram uma dieta com valor nutritivo superior ao amostrado no pasto. No Experimento 2, na mesma condição do experimento anterior, trinta e duas ovelhas Somalis brasileira foram utilizadas para determinação do consumo e digestibilidade dos nutrientes, realizado em três ensaios (abril - terço final de gestação; junho - lactação e agosto - desmame). Para predição do consumo, o indicador LIPE® foi utilizado. Pesagens quinzenais foram realizadas para avaliação do desempenho das ovelhas e dos cordeiros nascidos. O concentrado oferecido favoreceu a maior ingestão e digestibilidade da MS e PB, com efeito substitutivo em relação ao consumo de pasto (P<0,05). Para o período seco, menores consumos foram observados em relação aos períodos das águas e de transição água-seca (P<0,05). Maiores consumos e digestibilidades dos constituintes fibrosos foram observados para as ovelhas não suplementados (P<0,05). Na avaliação do desempenho, a suplementação oferecida determinou os maiores pesos verificados durante a lactação, ao desmame e para os pesos ao nascer e ao desmame dos cordeiros (P<0,05). No Experimento 3, dois ovinos Morada Nova foram utilizados para determinação da degradabilidade da matéria seca (MS), proteína bruta (PB) e fibra em detergente neutro (FDN) de cinco das forrageiras selecionadas pelas ovelhas no Experimento 1: M. caesalpiniaefolia, A. brasiliana, P. maximum cv. Massai, jurema-preta (Mimosa tenuiflora), C. leprosum, nos tempos 0, 6, 24, 48, 72 e 96 horas de incubação. Para cada forrageira, foram determinadas equações para o desaparecimento da MS, PB e FDN. Também foi feito o fracionamento da proteína em suas porções degradáveis e não degradáveis no rúmen. Foi observado maior desaparecimento da MS, PB e FDN, além dos melhores níveis de proteína efetivamente degradada no rúmen para A. brasiliana, seguido pelo P. maximum cv. Massai e M. caesalpiniaefolia. Com as informações obtidas, conclui-se que a micro-histologia fecal apresenta-se como uma técnica viável para avaliações da composição botânica da dieta selecionada por ovinos na caatinga. Ovelhas na caatinga possuem uma grande habilidade de selecionar a dieta, modificando-a ao longo das fases fenológicas, sempre na tentativa de estabelecer uma dieta com melhor valor nutritivo. Forrageiras como A. brasiliana, M. caesalpiniaefolia e o P. maximum cv. Massai, podem ser consideradas um interessante recurso alimentar, em virtude de seu valor nutricional e aproveitamento por ovelhas criadas na caatinga. Abstract: This study was conducted in order to determine the botanical composition and diet quality selected by sheep through fecal micro-histological technique, in thinned and enriched caatinga with Massai grass (Panicum maximum cv Massai.), receiving different amounts of concentrate (0; 200; 350 and 500 g of concentrate per day) at different periods (wet, transition wet-dry and dry). Were also estimated the intake, digestibility, as well as the degradability of forage species eaten by sheep. The experiments were performed in the "Fazenda Crioula do Meio", owned by Embrapa Goats and Sheep, in Sobral, Ceará State, Brazil, from march to november 2013. In Trial 1, sixteen female, pregnant, multiparous, with average body weight of 30,58+2,48 kg Somalis brasileira breed sheep were used to determine the botanical composition and the quality of the selected diet. The monitoring of pasture intake of sheep were conducted in three phenological periods of the caatinga's pasture (wet season, transition wet-dry and dry season). Plant samples were collected for the preparation of the reference slides, with subsequent identification and characterization of epidermal descriptors. The same was done for the feces collected in sheep. Considering the proportion of each species identified in fecal slides which composed the diet, and the chemical composition of forage identified, it was possible to determine the quality of the selected diet. From 76 species observed in the pasture, 33 species was identified in the sheep selected diet, emphasizing the Sabiá (Mimosa caesalpiniaefolia), centrosema (Centrosema sp.), ervanço (Alternanthera brasiliana), massai (Panicum maximum cv Massai) e paco-paco (Wissadula rostrata) as the most selected species by sheep during the study, composing more than 50% of the selected diet. In the Dry Season, undesirable species like marmeleiro (Croton sonderianus) and mofumbo (Combretum leprosum), were also constituent of the diet. Regarding to the nutritional value of selected diet, the sheep selected a diet with more protein than the sampled in the pasture. In the final late gestation, the sheep without supplementation ate a diet above 16% of CP, higher than the selected diet by treatments 350 and 500 g of concentrate per day (P<0.05). Were also observed to the non supplemented sheep, less fiber content intake (P<0.05). In the Trial 2, in the same condition of the first Trial, thirty two Somalis brasileira female sheep were used to determine the intake and digestibility, conducted in three assays (April - third late pregnancy; June - lactation and August - weaning). To predict the intake, the marker LIPE was used. Sheep and lambs were weighted every two weeks to performance evaluation. The concentrate offered to sheep favored to higher intake and digestibility of DM and CP than non supplemented sheep, with inverse relationship to the pasture intake (P<0.05). For the Dry Season, lower intake were observed than for Wet Season and Transition Wet-Dry (P<0.05). Higher intakes and digestibility of the fiber constituents were verified to non supplemented sheep (P<0.05). To performance evaluation, the offered supplementation determined the higher weights observed during lactation and weaning of sheep, and to birth and weaning weights of lambs (P<0.05). In Trial 3, two male sheep were used to determine the degradability of dry matter (DM), crude protein (CP) and neutral detergent fiber (NDF) of five forages selected by sheep in Trial 1: M. caesalpiniaefolia, A. brasiliana, P. maximum cv. Massai, jurema-preta (Mimosa tenuiflora) and C. lepreosum, at zero, 6, 24, 48, 72 and 96 hours of incubation. For each forage, were determined equations for the disappearance of DM, CP and NDF. It was also realized the protein fractions in their degradable and non-degradable in the rumen parts. Was detected a higher disappearance of DM, CP and NDF, as also better proportion of the rumen degradable protein to A. brasiliana, followed by P. maximum cv. Massai and M. caesalpiniaefolia. With the information obtained, it is concluded that the fecal micro histological technique presents as a viable technique to evaluate the selected diet by sheep in caatinga's pasture. On this pasture, the sheep are skilled to select the diet, changing during the phenological phases, trying to form a diet of better nutritive value. Forages as A. brasiliana, P. maximum cv. Massai and M. caesalpiniaefolia, can be considered an interesting food source to ewes kept in the caatinga.

Advanced voxel-based CAD modelling for FSI simulations for automotive structures design

Additive Manufacturing (AM) is nowadays considered an important alternative to traditional manufacturing processes. AM technology shows several advantages in literature as design flexibility, and its use increases in automotive, aerospace and biomedical applications. As a systematic literature review suggests, AM is sometimes coupled with voxelization, mainly for representation and simulation purposes. Voxelization can be defined as a volumetric representation technique based on the model’s discretization with hexahedral elements, as occurs with pixels in the 2D image. Voxels are used to simplify geometric representation, store intricated details of the interior and speed-up geometric and algebraic manipulation. Compared to boundary representation used in common CAD software, voxel’s inherent advantages are magnified in specific applications such as lattice or topologically structures for visualization or simulation purposes. Those structures can only be manufactured with AM employment due to their complex topology. After an accurate review of the existent literature, this project aims to exploit the potential of the voxelization algorithm to develop optimized Design for Additive Manufacturing (DfAM) tools. The final aim is to manipulate and support mechanical simulations of lightweight and optimized structures that should be ready to be manufactured with AM with particular attention to automotive applications. A voxel-based methodology is developed for efficient structural simulation of lattice structures. Moreover, thanks to an optimized smoothing algorithm specific for voxel-based geometries, a topological optimized and voxelized structure can be transformed into a surface triangulated mesh file ready for the AM process. Moreover, a modified panel code is developed for simple CFD simulations using the voxels as a discretization unit to understand the fluid-dynamics performances of industrial components for preliminary aerodynamic performance evaluation. The developed design tools and methodologies perfectly fit the automotive industry’s needs to accelerate and increase the efficiency of the design workflow from the conceptual idea to the final product.

An approach to digitalise activities of combine harvesters through CANBUS

The increase in the efficiency of agricultural machinery is a theme that attracted the attention and investments of the industrial and research community. In addition, in a global market, where the prices of agricultural commodities are so volatile and the prices of the inputs increase, farmers and agricultural contractors struggle to obtain at the end of the agricultural season a consolidated profit. For these reasons, it is important to carefully plan the usage of combine harvesters, to reduce the unproductive time and the input usage such as the fuel, that at the end of the harvesting season could increase costs. This study aims to develop an algorithm able to automatically identify and evaluate the time spent by the combines in each of the identified activities, identify the field boundaries of the harvested fields and perform a performance evaluation. To be able to develop the algorithm, during the harvesting seasons of 2020 and 2022, two combine harvesters operating in real-world conditions in Bologna’s Province were monitored. The data necessary to perform the analysis were acquired as CANBUS data and processed by using the MATLAB ® suite. The results obtained from this analysis show that the monitored combines have spent over 60% of the time performing harvesting activities, 13% of the time idling at the field, 10% performing headland turn, the 3% and 4% of the time respectively in transport on the field and road and 2% of the time in unloading. In addition, the performance of the monitored combines resulted similarly to the performance reported in other studies.

An architecture for network acceleration as a service in the cloud continuum

The pervasive availability of connected devices in any industrial and societal sector is pushing for an evolution of the well-established cloud computing model. The emerging paradigm of the cloud continuum embraces this decentralization trend and envisions virtualized computing resources physically located between traditional datacenters and data sources. By totally or partially executing closer to the network edge, applications can have quicker reactions to events, thus enabling advanced forms of automation and intelligence. However, these applications also induce new data-intensive workloads with low-latency constraints that require the adoption of specialized resources, such as high-performance communication options (e.g., RDMA, DPDK, XDP, etc.). Unfortunately, cloud providers still struggle to integrate these options into their infrastructures. That risks undermining the principle of generality that underlies the cloud computing scale economy by forcing developers to tailor their code to low-level APIs, non-standard programming models, and static execution environments. This thesis proposes a novel system architecture to empower cloud platforms across the whole cloud continuum with Network Acceleration as a Service (NAaaS). To provide commodity yet efficient access to acceleration, this architecture defines a layer of agnostic high-performance I/O APIs, exposed to applications and clearly separated from the heterogeneous protocols, interfaces, and hardware devices that implement it. A novel system component embodies this decoupling by offering a set of agnostic OS features to applications: memory management for zero-copy transfers, asynchronous I/O processing, and efficient packet scheduling. This thesis also explores the design space of the possible implementations of this architecture by proposing two reference middleware systems and by adopting them to support interactive use cases in the cloud continuum: a serverless platform and an Industry 4.0 scenario. A detailed discussion and a thorough performance evaluation demonstrate that the proposed architecture is suitable to enable the easy-to-use, flexible integration of modern network acceleration into next-generation cloud platforms.

Directly training spiking neural networks for cyber-physical systems: from supervised to reinforcement learning

Spiking Neural Networks (SNNs) are bio-inspired Artificial Neural Networks (ANNs) utilizing discrete spiking signals, akin to neuron communication in the brain, making them ideal for real-time and energy-efficient Cyber-Physical Systems (CPSs). This thesis explores their potential in Structural Health Monitoring (SHM), leveraging low-cost MEMS accelerometers for early damage detection in motorway bridges. The study focuses on Long Short-Term SNNs (LSNNs), although their complex learning processes pose challenges. Comparing LSNNs with other ANN models and training algorithms for SHM, findings indicate LSNNs' effectiveness in damage identification, comparable to ANNs trained using traditional methods. Additionally, an optimized embedded LSNN implementation demonstrates a 54% reduction in execution time, but with longer pre-processing due to spike-based encoding. Furthermore, SNNs are applied in UAV obstacle avoidance, trained directly using a Reinforcement Learning (RL) algorithm with event-based input from a Dynamic Vision Sensor (DVS). Performance evaluation against Convolutional Neural Networks (CNNs) highlights SNNs' superior energy efficiency, showing a 6x decrease in energy consumption. The study also investigates embedded SNN implementations' latency and throughput in real-world deployments, emphasizing their potential for energy-efficient monitoring systems. This research contributes to advancing SHM and UAV obstacle avoidance through SNNs' efficient information processing and decision-making capabilities within CPS domains.

Compliance verification of virtual Phasor Measuring Unit using Ip-DFT algorithm according to the IEEE-60255-118-1(2018).

With the increase in load demand for various sectors, protection and safety of the network are key factors that have to be taken into consideration over the electric grid and distribution network. A phasor Measuring unit is an Intelligent electronics device that collects the data in the form of a real-time synchrophasor with a precise time tag using GPS (Global positioning system) and transfers the data to the grid command to monitor and assess the data. The measurements made by PMU have to be very precise to protect the relays and measuring equipment according to the IEEE 60255-118-1(2018). As a device PMU is very expensive to research and develop new functionalities there is a need to find an alternative to working with. Hence many open source virtual libraries are available to replicate the exact function of PMU in the virtual environment(Software) to continue the research on multiple objectives, providing the very least error results when verified. In this thesis, I executed performance and compliance verification of the virtual PMU which was developed using the I-DFT (Interpolated Discrete Fourier transforms) C-class algorithm in MATLAB. In this thesis, a test environment has been developed in MATLAB and tested the virtually developed PMU on both steady state and dynamic state for verifying the latest standard compliance(IEEE-60255-118-1).

Exchange-Trade Funds Evaluation using Performance Measures Distribution

In this study we propose the use of the performance measure distribution rather than its punctual value to rank hedge funds. Generalized Sharpe Ratio and other similar measures that take into account the higher-order moments of portfolio return distributions are commonly used to evaluate hedge funds performance. The literature in this field has reported non-significant difference in ranking between performance measures that take, and those that do not take, into account higher moments of distribution. Our approach provides a much more powerful manner to differentiate between hedge funds performance. We use a non-semiparametric density based on Gram-Charlier expansions to forecast the conditional distribution of hedge fund returns and its corresponding performance measure distribution. Through a forecasting exercise we show the advantages of our technique in relation to using the more traditional punctual performance measures.

Evaluation of the performance of different plastics used to seal nylon cDNA arrays

cDNA arrays are a powerful tool for discovering gene expression patterns. Nylon arrays have the advantage that they can be re-used several times. A key issue in high throughput gene expression analysis is sensitivity. In the case of nylon arrays, signal detection can be affected by the plastic bags used to keep membranes humid. In this study, we evaluated the effect of five types of plastics on the radioactive transmittance, number of genes with a signal above the background, and data variability. A polyethylene plastic bag 69 μm thick had a strong shielding effect that blocked 68.7% of the radioactive signal. The shielding effect on transmittance decreased the number of detected genes and increased the data variability. Other plastics which were thinner gave better results. Although plastics made from polyvinylidene chloride, polyvinyl chloride (both 13 μm thick) and polyethylene (29 and 7 μm thick) showed different levels of transmittance, they all gave similarly good performances. Polyvinylidene chloride and polyethylene 29 mm thick were the plastics of choice because of their easy handling. For other types of plastics, it is advisable to run a simple check on their performance in order to obtain the maximum information from nylon cDNA arrays.

Evaluation technique for determining wheel performance in the grinding of aerospace materials

Nickel-based super alloys are used in a variety of applications in which high-temperature strength and resistance to creep, corrosion, and oxidation are required, such as in aircraft gas turbines, combustion chambers, and automotive engine valves. The properties that make these materials suitable for these applications also make them difficult to grind. Grinding systems for such materials are often built around vitrified cBN (cubic boron nitride) wheels to realize maximum productivity and minimum cost per part. Conditions that yield the most economical combination of stock removal rate and wheel wear are key to the successful implementation of the grinding system. Identifying the transition point for excessive wheel wear is important. The aim of this study is to compare the performance of different cBN wheels when grinding difficult-to-grind (DTG) materials by determining the 'wheel wear characteristic curve', which correlates the G-ratio to the calculated tangential force per abrasive grain. With the proposed methodology, a threshold force per grit above which the wheel wear rate increases rapidly can be quickly identified. A comparison of performance for two abrasive product formulations in the grinding of three materials is presented. The obtained results can be applied for the development of grinding applications for DTG materials.

High gravity batch and continuous processes for beer production: Evaluation of fermentation performance and beer quality

This study deals with two innovative brewing processes, high gravity batch and complete continuous beer fermentation systems. The results show a significant influence of the variables such as concentration and temperature on the yield factor of the substrate into ethanol and consequently on the productivity of the high gravity batch process. The technological feasibility of continuous production of beer based on yeast immobilization on cheap alternative carriers was also demonstrated. The influence of process parameters on fermentation performance and quality of the obtained beers was studied by sensorial analysis. No significant difference in the degree of acceptance between the obtained products and some traditional market brands was found. (c) 2008 Institute of Chemistry, Slovak Academy of Sciences.

Evaluation of the performance of biodiesel from waste vegetable oil in a flame tube furnace

This work presents a theoretical and experimental study of the biodiesel (ethyl ester from a waste vegetable oil) performance in a flame tube furnace. The heat transfer rate was analysed in several sections along the furnace and the performance of the biodiesel was compared to that of diesel oil. The flow of heat from the burn of each fuel in the direction of the walls of the combustion chamber was evaluated under the same fuel injection pressure. The peak of the heat transfer occurred around 0.45 m far from the fuel injection nozzle in a 0.305 m inner diameter combustion chamber. The diesel oil showed a higher heat transfer rate in most parts exposed to the flame. In the region where the body of the flame is not present, the heat transfer of biodiesel becomes higher. (C) 2008 Elsevier Ltd. All rights reserved.

Performance and molecular evaluation of an anaerobic system with suspended biomass for treating wastewater with high fat content after enzymatic hydrolysis

The effect of a lipase-rich fungal enzymatic preparation, produced by a Penicillium sp. during solid-state fermentation, was evaluated in an anaerobic digester treating dairy wastewater with 1200 mg of oil and grease/L The oil and grease hydrolysis step was carried out with 0.1% (w/v) of solid enzymatic preparation at 30 degrees C for 24 h, and resulted in a final free acid concentration eight times higher than the initial value. The digester operated in sequential batches of 48 h at 30 degrees C for 245 days, and had high chemical oxygen demand (COD) removal efficiencies (around 90%) when fed with pre-hydrolyzed wastewater. However, when the pre-hydrolysis step was removed, the anaerobic digester performed poorly (with an average COD removal of 32%), as the oil and grease accumulated in the biomass and effluent oil and grease concentration increased throughout the operational period. PCR-DGGE analysis of the Bacteria and Archaea domains revealed remarkable differences in the microbial profiles in trials conducted with and without the pre-hydrolysis step, indicating that differences observed in overall parameters were intrinsically related to the microbial diversity of the anaerobic sludge. (C) 2009 Elsevier Ltd. All rights reserved.