Sentinel node mapping using hysteroscopic injection of indocyanine green and laparoscopic near-infrared fluorescence imaging in endometrial cancer staging.

Herein is presented a technique for minimally invasive sentinel node mapping. The patient had apparently early stage endometrial cancer. Sentinel node mapping was performed using a hysteroscopic injection of indocyanine green followed by laparoscopic sentinel node detection via near-infrared fluorescence. This technique ensures delineation of lymphatic drainage from the tumor area, thus achieving accurate detection of sentinel nodes.

A Specific Mapping Study Using Fluorescence Sentinel Lymph Node Detection in Patients with Intermediate- and High-risk Prostate Cancer Undergoing Extended Pelvic Lymph Node Dissection.

Sentinel lymph node (SLN) detection techniques have the potential to change the standard of surgical care for patients with prostate cancer. We performed a lymphatic mapping study and determined the value of fluorescence SLN detection with indocyanine green (ICG) for the detection of lymph node metastases in intermediate- and high-risk patients undergoing radical prostatectomy and extended pelvic lymph node dissection. A total of 42 patients received systematic or specific ICG injections into the prostate base, the midportion, the apex, the left lobe, or the right lobe. We found (1) that external and internal iliac regions encompass the majority of SLNs, (2) that common iliac regions contain up to 22% of all SLNs, (3) that a prostatic lobe can drain into the contralateral group of pelvic lymph nodes, and (4) that the fossa of Marcille also receives significant drainage. Among the 12 patients who received systematic ICG injections, 5 (42%) had a total of 29 lymph node metastases. Of these, 16 nodes were ICG positive, yielding 55% sensitivity. The complex drainage pattern of the prostate and the low sensitivity of ICG for the detection of lymph node metastases reported in our study highlight the difficulties related to the implementation of SNL techniques in prostate cancer. PATIENT SUMMARY There is controversy about how extensive lymph node dissection (LND) should be during prostatectomy. We investigated the lymphatic drainage of the prostate and whether sentinel node fluorescence techniques would be useful to detect node metastases. We found that the drainage pattern is complex and that the sentinel node technique is not able to replace extended pelvic LND.

Studententhum und Centralverein : Vortrag, gehalten in der Central-Vereins-Versammlung am 23. Juni ds. Js.

M. Horwitz

Regulation of bovine IL-12R beta 2 subunit mRNA expression in bovine lymph node cells

The beta 2 subunit of the interleukin (IL)-12 receptor (IL-12R beta 2) has been shown to play an essential role in differentiation of T helper 1 (Th1) cells in the murine and human system, and antibodies raised against IL-12R beta 2 recognized this molecule on human Th1 but not Th2 cells. However, while the cytokines secreted by clones of murine cells allowed the definition of distinct T helper cell subsets, bovine clones with polarized Th1 and Th2 cytokine profiles were rarely found. This raised important questions about the regulation of immune responses in cattle. We therefore cloned bovine IL-12R beta2 (boIL-12R beta 2) DNA complementary to RNA (cDNA) from the start codon to the 3' end of the mRNA. Comparison of boIL-12R beta 2 cDNA with human and murine IL-12R beta 2 cDNA sequences revealed homologies of 85 and 78%, respectively. The deduced protein sequence showed the hallmark motifs of the cytokine receptor superfamily including the four conserved cysteine residues, the WSXWS motif and fibronectin domains in the extracellular part as well as a STAT4 binding site in the intracellular part of the molecule. Using real-time reverse transcription-polymerase chain reaction, upregulation of mRNA expression of this molecule could be demonstrated in cultured bovine lymph node cells stimulated with phytohemagglutinin. Furthermore, cells with upregulated boIL-12R beta 2 mRNA responded with enhanced expression of interferon gamma to treatment with interleukin 12.

Bericht über die vom 16. April bis 20. Mai ds. Js. in der Anstalt eingegangenen Meldungen der Auskunftsstellen für Pflanzenschutz und deren Vertrauensmänner

Hiltner

The role of SRC family kinase activation in prostate cancer growth and lymph node metastasis

Aberrant expression and/or activation of Src Family of non-receptor protein tyrosine kinases (SFKs) occur frequently during progressive stages of multiple types of human malignancies, including prostate cancer. Two SFKs, Src and Lyn, are expressed and implicated in prostate cancer progression. Work in this dissertation investigated the specific roles of Src and Lyn in the prostate tumor progression, and the effects of SFK inhibition on prostate tumor growth and lymph node metastasis in pre-clinical mouse models. ^ Firstly, using a pharmacological inhibitor of SFKs in clinical trials, dasatinib, I demonstrated that SFK inhibition affects both cellular migration and proliferation in vitro. Systemic administration of dasatinib reduced primary tumor growth, as well as development of lymph node metastases, in both androgen-sensitive and -resistant orthotopic prostate cancer mouse models. Immunohistochemical analysis of the primary tumors revealed that dasatinib treatment decreased SFK phosphorylation but not expression, resulting in decreased cellular proliferation and increased apoptosis. For this analysis of immunohistochemical stained tissues, I developed a novel method of quantifying immunohistochemical stain intensity that greatly reduced the inherent bias in analyzing staining intensity. ^ To determine if Src and Lyn played overlapping or distinct roles in prostate cancer tumor growth and progression, Src expression alone was inhibited by small-interfering RNA. The resulting stable cell lines were decreased in migration, but not substantially affected in proliferation rates. In contrast, an analogous strategy targeting Lyn led to stable cell lines in which proliferation rates were significantly reduced. ^ Lastly, I tested the efficacy of a novel SFK inhibitor (KX2-391) targeting peptide substrate-binding domain, on prostate cancer growth and lymph node metastasis in vivo. I demonstrated that KX2-391 has similar effects as dasatinib, an ATP-competitive small molecular inhibitor, on both the primary tumor growth and development of lymph node metastasis in vivo, work that contributed to the first-in-man Phase I clinical trial of KX2-391. ^ In summary, studies in this dissertation provide the first demonstration that Src and Lyn activities affect different cellular functions required for prostate tumor growth and metastasis, and SFK inhibitors effectively reduce primary tumor growth and lymph node metastasis. Therefore, I conclude that SFKs are promising therapeutic targets for treatment of human prostate cancer. ^

SCA security verification on wireless sensor network node

Side Channel Attack (SCA) differs from traditional mathematic attacks. It gets around of the exhaustive mathematic calculation and precisely pin to certain points in the cryptographic algorithm to reveal confidential information from the running crypto-devices. Since the introduction of SCA by Paul Kocher et al [1], it has been considered to be one of the most critical threats to the resource restricted but security demanding applications, such as wireless sensor networks. In this paper, we focus our work on the SCA-concerned security verification on WSN (wireless sensor network). A detailed setup of the platform and an analysis of the results of DPA (power attack) and EMA (electromagnetic attack) is presented. The setup follows the way of low-cost setup to make effective SCAs. Meanwhile, surveying the weaknesses of WSNs in resisting SCA attacks, especially for the EM attack. Finally, SCA-Prevention suggestions based on Differential Security Strategy for the FPGA hardware implementation in WSN will be given, helping to get an improved compromise between security and cost.

Brief Announcement: Node Sampling Using Centrifugal Random Walks.

We propose distributed algorithms for sampling networks based on a new class of random walks that we call Centrifugal Random Walks (CRW). A CRW is a random walk that starts at a source and always moves away from it. We propose CRW algorithms for connected networks with arbitrary probability distributions, and for grids and networks with regular concentric connectivity with distance based distributions. All CRW sampling algorithms select a node with the exact probability distribution, do not need warm-up, and end in a number of hops bounded by the network diameter.

Node sampling using random centrifugal walks

Sampling a network with a given probability distribution has been identified as a useful operation. In this paper we propose distributed algorithms for sampling networks, so that nodes are selected by a special node, called the source, with a given probability distribution. All these algorithms are based on a new class of random walks, that we call Random Centrifugal Walks (RCW). A RCW is a random walk that starts at the source and always moves away from it. Firstly, an algorithm to sample any connected network using RCW is proposed. The algorithm assumes that each node has a weight, so that the sampling process must select a node with a probability proportional to its weight. This algorithm requires a preprocessing phase before the sampling of nodes. In particular, a minimum diameter spanning tree (MDST) is created in the network, and then nodes weights are efficiently aggregated using the tree. The good news are that the preprocessing is done only once, regardless of the number of sources and the number of samples taken from the network. After that, every sample is done with a RCW whose length is bounded by the network diameter. Secondly, RCW algorithms that do not require preprocessing are proposed for grids and networks with regular concentric connectivity, for the case when the probability of selecting a node is a function of its distance to the source. The key features of the RCW algorithms (unlike previous Markovian approaches) are that (1) they do not need to warm-up (stabilize), (2) the sampling always finishes in a number of hops bounded by the network diameter, and (3) it selects a node with the exact probability distribution.

Power management techniques in an FPGA-Based WSN node for high performance application

In this work, the power management techniques implemented in a high-performance node for Wireless Sensor Networks (WSN) based on a RAM-based FPGA are presented. This new node custom architecture is intended for high-end WSN applications that include complex sensor management like video cameras, high compute demanding tasks such as image encoding or robust encryption, and/or higher data bandwidth needs. In the case of these complex processing tasks, yet maintaining low power design requirements, it can be shown that the combination of different techniques such as extensive HW algorithm mapping, smart management of power islands to selectively switch on and off components, smart and low-energy partial reconfiguration, an adequate set of save energy modes and wake up options, all combined, may yield energy results that may compete and improve energy usage of typical low power microcontrollers used in many WSN node architectures. Actually, results show that higher complexity tasks are in favor of HW based platforms, while the flexibility achieved by dynamic and partial reconfiguration techniques could be comparable to SW based solutions.

FPGA-Based Wireless Sensor Node Architecture for High Performance Applications

While for years traditional wireless sensor nodes have been based on ultra-low power microcontrollers with sufficient but limited computing power, the complexity and number of tasks of today’s applications are constantly increasing. Increasing the node duty cycle is not feasible in all cases, so in many cases more computing power is required. This extra computing power may be achieved by either more powerful microcontrollers, though more power consumption or, in general, any solution capable of accelerating task execution. At this point, the use of hardware based, and in particular FPGA solutions, might appear as a candidate technology, since though power use is higher compared with lower power devices, execution time is reduced, so energy could be reduced overall. In order to demonstrate this, an innovative WSN node architecture is proposed. This architecture is based on a high performance high capacity state-of-the-art FPGA, which combines the advantages of the intrinsic acceleration provided by the parallelism of hardware devices, the use of partial reconfiguration capabilities, as well as a careful power-aware management system, to show that energy savings for certain higher-end applications can be achieved. Finally, comprehensive tests have been done to validate the platform in terms of performance and power consumption, to proof that better energy efficiency compared to processor based solutions can be achieved, for instance, when encryption is imposed by the application requirements.

A novel topology control approach to maintain the node degree in dynamic wireless sensor networks

Topology control is an important technique to improve the connectivity and the reliability of Wireless Sensor Networks (WSNs) by means of adjusting the communication range of wireless sensor nodes. In this paper, a novel Fuzzy-logic Topology Control (FTC) is proposed to achieve any desired average node degree by adaptively changing communication range, thus improving the network connectivity, which is the main target of FTC. FTC is a fully localized control algorithm, and does not rely on location information of neighbors. Instead of designing membership functions and if-then rules for fuzzy-logic controller, FTC is constructed from the training data set to facilitate the design process. FTC is proved to be accurate, stable and has short settling time. In order to compare it with other representative localized algorithms (NONE, FLSS, k-Neighbor and LTRT), FTC is evaluated through extensive simulations. The simulation results show that: firstly, similar to k-Neighbor algorithm, FTC is the best to achieve the desired average node degree as node density varies; secondly, FTC is comparable to FLSS and k-Neighbor in terms of energy-efficiency, but is better than LTRT and NONE; thirdly, FTC has the lowest average maximum communication range than other algorithms, which indicates that the most energy-consuming node in the network consumes the lowest power.

Aplicación web de gestión financiera personal desarrollada con MEAN.JS

En este trabajo de fin de grado se llevará a cabo la elaboración de una aplicación web de gestión de gastos personales desde sus inicios, hasta su completo funcionamiento. Estas aplicaciones poseen un crecimiento emergente en el mercado, lo cual implica que la competencia entre ellas es muy elevada. Por ello el diseño de la aplicación que se va a desarrollar en este trabajo ha sido delicadamente cuidado. Se trata de un proceso minucioso el cual aportará a cada una de las partes de las que va a constar la aplicación características únicas que se plasmaran en funcionalidades para el usuario, como son: añadir sus propios gastos e ingresos mensuales, confeccionar gráficos de sus principales gastos, obtención de consejos de una fuente externa, etc… Estas funcionalidades de carácter único junto con otras más generalistas, como son el diseño gráfico en una amplia gama de colores, harán su manejo más fácil e intuitivo. Hay que destacar que para optimizar su uso, la aplicación tendrá la característica de ser responsive, es decir, será capaz de modificar su interfaz según el tamaño de la pantalla del dispositivo desde el que se acceda. Para su desarrollo, se va a utilizar una de las tecnologías más novedosas del mercado y siendo una de las más revolucionarias del momento, MEAN.JS. Con esta innovadora tecnología se creará la aplicación de gestión económica de gastos personales. Gracias al carácter innovador de aplicar esta tecnología novedosa, los retos que plantea este proyecto son muy variados, desde cómo estructurar las carpetas del proyecto y toda la parte de backend hasta como realizar el diseño de la parte de frontend. Además una vez finalizado su desarrollo y puesta en marcha se analizaran posibles mejoras para poder perfeccionarla en su totalidad. ABSTRACT In this final degree project will take out the development of a web application from its inception, until its full performance management. These applications have an emerging market growth, implying that competition between them is very high. Therefore the design of the application that will be developed in this work has been delicately care. It's a painstaking process which will provide each of the parties which will contain the application unique features that were translated into functionality for the user, such as: add their own expenses and monthly income, make graphs of your major expenses, obtaining advice from an external source, etc... These features of unique character together with other more general, such as graphic design in a wide range of colors, will make more easy and intuitive handling. It should be noted that to optimize its use, the application will have the characteristic of being responsive, will be able to modify your interface according to the size of the screen of the device from which are accessed. For its development, it is to use one of the newest technologies on the market and being one of the most revolutionary moment, MEAN. JS. The economic management of personal expenses application will be created with this innovative technology. Thanks to the innovative nature of applying this new technology, the challenges posed by this project are varied, from how to structure the folders of the project and all the backend part up to how to perform the part of frontend design. In addition once finished its development and commissioning possible improvements will analyze to be able to perfect it in its entirety.

Development of a Dashboard for Sentiment Analysis of Football in Twitter based on Web Components and D3.js

This thesis is the result of a project whose objective has been to develop and deploy a dashboard for sentiment analysis of football in Twitter based on web components and D3.js. To do so, a visualisation server has been developed in order to present the data obtained from Twitter and analysed with Senpy. This visualisation server has been developed with Polymer web components and D3.js. Data mining has been done with a pipeline between Twitter, Senpy and ElasticSearch. Luigi have been used in this process because helps building complex pipelines of batch jobs, so it has analysed all tweets and stored them in ElasticSearch. To continue, D3.js has been used to create interactive widgets that make data easily accessible, this widgets will allow the user to interact with them and �filter the most interesting data for him. Polymer web components have been used to make this dashboard according to Google's material design and be able to show dynamic data in widgets. As a result, this project will allow an extensive analysis of the social network, pointing out the influence of players and teams and the emotions and sentiments that emerge in a lapse of time.

Disrupted splenic architecture, but normal lymph node development in mice expressing a soluble lymphotoxin-β receptor–IgG1 fusion protein

Early in ontogeny, the secondary lymphoid organs become populated with numerous cells of mesodermal origin which forms both the lymphoid and stromal elements. The critical receptor/ligand interactions necessary for lymphoid organogenesis to occur are for the most part unknown. Although lymphotoxin-α (LTα) has been shown to be required for normal lymph node, Peyer’s patch, and splenic development, it is unclear if soluble LTα3, and/or cell-bound lymphotoxin-αβ (LTαβ) mediate these developmental events. Here we report that blocking LTαβ/lymphotoxin-β receptor (LTβR) interaction in vivo by generating mice which express a soluble LTβR–Fc fusion protein driven by the human cytomegalovirus promoter results in an array of anatomic abnormalities affecting both the spleen and Peyer’s patches, but not the lymph nodes. These results demonstrate that surface LTαβ ligand plays a critical role in normal lymphoid organ development.