TTP protocol for managing hierarchy trees of the RTCP feedback channel represents the mechanism for transferring the big amount of data from end users via the “narrow” feedback channel. We are not speaking about thousands of users but about millions of users, which are using services like IPTV. The method of a data summarization is used for this purpose in selected network nodes. The summarized message is transferred and summarized again in higher levels of the hierarchical tree. Both methods allow reducing the amount of data and help to increase information content transferred via the feedback channel. Finding of the correct end user position in a network is also very important aspect. The user must be able to find the closest summarization node with this information and starts sending out the messages to this node for processing. There are several methods for constructing and managing the asynchronous feedback channel that are introduced in this work.

Wireless sensor networks have become increasingly popular in many applications such as environment monitoring and law enforcement. Data aggregation is a method used to reduce network traffic but cannot be used together with conventional encryption schemes because it is not secure and introduces extra overhead. Homomorphic encryption is an encryption scheme that allows data processing on encrypted data as opposed to plaintext. It has the benefit that each intermediate node does not have to decrypt each packet, but the resulting cyphertext is usually much larger than the original plaintext. This could negatively affect system performance because the energy consumption of each node is directly proportional to the amount of data it transmits. This study investigates the benefits and drawback of using homomorphic encryption in the aggregation process particularly in the context of scalable networks. It was found that conventional encryption outperforms the homomorphic encryption for smaller networks, but as the network size grows, homomorphic encryption starts outperforming conventional encryption. It was also found that the homomorphic encryption scheme does significantly reduce the performance of plaintext aggregation. This performance reduction will however be acceptable for most applications where security is a concern. / Draadlose sensornetwerke raak toenemend meer gewild vir heelwat verskillende toepassings, soos byvoorbeeld opgewingsmonitering en wetstoepassing. Data-aggregasie is n metode wat gebruik word om netwerkverkeer te verminder, maar kan nie gebruik word saam met konvensionele enkripsie-skemas nie, omdat dit nie veilig is nie en oorhoofse koste verhoog. Homomorfiese enkripsie is n enkripsie-skema wat dataverwerking toelaat op geënkripteerde in teenstelling met gewone-teks. Dit het die voordeel dat elke intermediêre nie nodig het om elke pakkie te dekripteer nie, maar die resulterende kodeteks is gewoonlik heelwat groter as die gewone-teks. Dit kan die stelselgedrag negatief beÏnvloed omdat die energieverbruik van elke node eweredig is aan die hoeveelheid data wat dit versend. Hierdie studie ondersoek die voor- en nadele van homomorfiese enkripsie in die aggregasieproses, veral in die konteks van skaleerbare netwerke. Daar is gevind dat konvensionele enkripsie beter vaar as homomorfies enkripsie in kleiner netwerke. Die omgekeerde is waar vir groter netwerke. Dit is ook gevind dat homomorfiese enkripsie gewone-teks-aggregasie negatief beÏnvloed, maar dit word as aanvaarbaar beskou vir toepassings waar sekuriteit belangrik is. / Dissertation (MEng)--University of Pretoria, 2015. / Electrical, Electronic and Computer Engineering / Meng / Unrestricted

The field of nanoparticle preparation is nowadays rapidly evolving. Most of the ap- proaches can be classified as wet chemistry techniques. On the other hand, gas aggrega- tion sources offer an alternative, purely physical approach of how to fabricate nanoparti- cles in a controlled and reproducible manner. Many kinds of nanoparticles were already produced in this way, e.g. metallic, metal oxides or plasma polymer nanoparticles. Moreover, as it was demonstrated in recent studies, even heterogeneous nanoparticles by combining more types of materials may be produced by such sources. Among them, an increasing interest is devoted to the metal/plasma polymer nanoparticles. Concerning the production of metal/plasma polymers nanoparticles, the majority of so far published studies focused on the nanoparticles with metallic cores surrounded by a plasma polymer overcoat. Because of this, we decided to investigate a novel two- step deposition procedure for the production of metal/plasma polymer nanoparticles with inverse structure, i.e. nanoparticles with plasma polymer cores covered by metal. This method is based on the gas aggregation technique for plasma polymer nanoparticle fabrication (C:H:N:O in this study) followed by subsequent in-flight coating by sputtered metal (silver, copper and titanium). The production...

Frame aggregation is one of the major MAC layer enhancements in the IEEE 802.11 family that boosts the network throughput performance. It aims to achieve higher throughput by transmitting huge amount of data in a single transmit oppor- tunity. With the increasing awareness of energy e ciency, it has become vital to rethink about the design of such frame aggregation protocol. Aggregation techniques help to reduce energy consumption over ideal channel conditions. However, in a noisy channel environment, a new energy-aware frame aggregation scheme is required. In this thesis, a novel Green Frame Aggregation (GFA) scheduling scheme has been proposed and evaluated. GFA optimizes the aggregate size based on channel quality in order to minimize the consumed energy. GFA selects the optimal sub-frame size that satisfies the loss constraint for real-time applications as well as the energy budget of the ideal channel situations. The design, the implementation, and evaluation of GFA using testbed deployment is done. The experimental analysis shows that GFA outperforms the conventional frame aggregation methodology in terms of energy e ciency by about 6⇥ in the presence of severe interference conditions. Moreover, GFA also outperforms the static frame sizing method in terms of network goodput and maintains almost the same end- to-end latency.

This thesis investigates the use of engineered DNA to program fusion and aggregation behaviors of artificial cells, mimicking biological cells and their important functions. To achieve this goal, we construct synthetic cells from engineered lipids and DNA to recognize and process intercellular signals.<div><br></div><div>Cell fusion is regulated by snap receptor (SNARE) proteins in mammalian cells. The zippering of SNARE proteins exerts forces to the adjacent cell membrane and induces membrane fusion. The hybridization of membrane anchored DNA can induce fusion in a similar way. The advantage of using DNA as a fusion signal is that oligonucleotides are much easier to engineer and control. In this study, we construct two types of small vesicles decorated with DNA oligonucleotides and demonstrate their fusion using programmable DNA base-pairing. Fluorescent probes are used to measure fusion events. The experiment advances our understanding of the dynamic vesicle fusion behavior.<br></div><div><br></div><div>Cell aggregation is a complex behavior that is closely associated to the differentiation, migration, and viability of biological cells. An effort to create synthetic analogs could lead to considerable advances in cell physiology and biophysics. Rendering and modulating such a dynamic artificial cell system require mechanisms for receiving, transducing, and transmitting intercellular signals, yet effective tools are limited at present. Here we construct synthetic cells and show their programmable aggregation behaviors using DNA oligonucleotides as a signaling molecule. The synthetic cells have transmembrane DNA origami that are used to recognize and process intercellular signals. We demonstrate that multiple small vesicles aggregate onto a giant vesicle after a transduction of external DNA signals by an intracellular enzyme, and that the small vesicles dissociate when receiving ‘release’ signals.<br></div><div><br></div><div>We envision that this thesis will provide a new platform for building programmable synthetic protocells capable of chemical communication and coordination. <br></div>

Knowledge of how intermolecular interactions of amyloidogenic proteins cause protein aggregation and how those interactions are affected by sequence and solution conditions is essential to our understanding of the onset of many degenerative diseases. Of particular interest is the aggregation of the amyloid-β (Aβ) peptide, linked to Alzheimer's disease, and the aggregation of the Sup35 yeast prion peptide, which resembles the mammalian prion protein (PrP) linked to spongiform encephalothopies. To facilitate the study of these important peptides, experimentalists have identified small peptide congeners of the full-length proteins that exhibit amyloidogenic behavior, including the KLVFFAE sequence of the Aβ protein, and the GNNQQNY sequence of Sup35. Reverse micelles provide an important environment for the study of protein folding and aggregation. In a reverse micelle, it is possible to observe the effects that confinement and water activity, believed to play a critical role in an in vivo cellular environment, have on protein folding, misfolding, and aggregation. We employed molecular dynamics simulations of reverse micelles as well as peptides encapsulated in reverse micelles in order to characterize the reverse micelle environment and identify fundamental principles that inform how sequence and solution environment influence protein aggregation. The peptides studied include the alanine-rich peptide AKA2 as well as the amyloidogenic KLVFFAE and GNNQQNY peptide fragments. The results of these studies suggest that substantial fluctuations in reverse micelle shape away from an idealized spherical geometry enables significant interaction between peptides and the surfactant interface. Analysis these results, including evaluation of water dynamics and calculated IR spectra of the amide I vibration of the peptides, indicate that our model of the reverse micelle is a robust one which captures essential features of this complex system. Moreover, our studies provide critical insight into the complex role played by a heterogeneous cellular environment in the earliest stages of protein aggregation and amyloid formation.

The rapid development of Machine Learning algorithms and a growing range of its applications, as well as an increasing number of Edge Computing devices, created a need for a new paradigm that would benefit from both fields. Federated Learning, which emerged as an answer to this need, is a technique that also solves privacy-related issues arising when large amounts of information are collected on many individual devices and being used for a Machine Learning model by sending only the local updates and keeping the data. At the same time, Federated Learning heavily relies on the computational and communicational capabilities of the devices that calculate the updates and send them to the main server to be integrated into a global model using one or the other Aggregation Scheme, which is one of the most important aspects of the Federated Learning. Carefully choosing how to aggregate local updates can diminish the impacts present from a huge variety of devices. Therefore, this thesis work presents a thorough investigation of the Aggregation Schemes and analyzes their behaviors in heterogeneous Federated Learning scenarios. It provides an extensive description of the main features of schemes studied, defines the evaluation criteria, presents the resource costs associated with computational and communicational resources of the devices, and shows a fair assessment.

Small-molecule inhibitors of tau fibrillization are under investigation as tools for interrogating the tau aggregation pathway and as potential therapeutic agents for Alzheimer's disease. Established inhibitors include thiacarbocyanine dyes, which can inhibit recombinant tau fibrillization in the presence of anionic surfactant aggregation inducers. In an effort to increase inhibitory potency, a cyclic bis-thiacarbocyanine molecule containing two thiacarbocyanine moieties was synthesized and characterized with respect to tau fibrillization inhibitory activity by electron microscopy and ligand aggregation state by absorbance spectroscopy. Results showed that the inhibitory activity of the bis-thiacarbocyanine was qualitatively similar to a monomeric cyanine dye, but was more potent with 50% inhibition achieved at ∼80 nM concentration. At all concentrations tested in aqueous solution, the bis-thiacarbocyanine collapsed to form a closed clamshell structure. However, the presence of tau protein selectively stabilized the open conformation. These results suggest that the inhibitory activity of bis-thiacarbocyanine results from multivalency, and reveal a route to more potent tau aggregation inhibitors.

Demands for sustainable crop production are increasing to cope with threats of climate change and diversity loss. Tillage is one of the main farming practices that could impact crop production, soil, and air quality. We utilized a long-term (>48-yr old) tillage trial to evaluate four tillage systems including: (i) moldboard plow (MP), (ii) chisel-disk (grower’s current practice) (CD), (iii) alternate tillage [2-yr no-till (NT) and 1-yr MP; AT], and (iv) NT on corn (Zea mays L.) and soybean (Glycine max L.) grain production, nutrient removal and balances, soil physical, chemical, and biological properties, and nitrous oxide (N2O) emissions. We found that a switch from intensive tillage practices (CD and MP) to NT resulted in (i) similar corn and soybean grain yield, nutrient removal, and balances; (ii) increased soil aggregation and aggregate stability; (iii) increased soil organic carbon (C), active C, and aggregate associated C and nitrogen at 0-15 cm soil depth (iv) had consistence penetration resistance at the plow depth (30 cm depth), lower bulk density, higher soil porosity and available water capacity; (v) had lower soil NO3-N and TN, two-yr cumulative N2O-N emissions, and yield-scaled N2O-N (vi) greater soil ecosystem stability based on nematode community populations; (vii) increased earthworm abundance and biomass, diversity and species evenness, and percentage of epigeic ecotypes. Interestingly, NT did not influence soil C beyond topsoil indicating a limitation for NT to sequester C at deeper soil layers. These findings indicate improved soil in NT vs. other tillage practices provides C sequestration and reduced environmental footprints, without impacting grain yield while improving functional soil biology. Because the cost of NT operations are lower than other tillage practices, we concluded continuous NT could be a step towards sustainable crop production. To further improve the sustainability of crop production, other practices (e.g. cover cropping, crop diversification, soil amendments etc.) should be integrated into continuous NT practices.

京都大学 / 0048 / 新制・課程博士 / 博士(工学) / 甲第18292号 / 工博第3884号 / 新制||工||1596(附属図書館) / 31150 / 京都大学大学院工学研究科高分子化学専攻 / (主査)教授 中條 善樹, 教授 澤本 光男, 教授 杉野目 道紀 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DGAM