Miracle-dz/UniFAR-FTUs huggingface dataset:
Longer Right Colon Withdrawal Time and Retroflexion Duration Significantly Increases Adenoma Detection Rate: A Randomized Controlled Trial at Three Endoscopy Centers

Purpose Detection of adenomas is the foundation of colorectal cancer screening utilizing screening colonoscopies. Adenoma detection rate (ADR) is an increasingly utilized core quality measure for colonoscopies. Colonoscopy is an effective tool to prevent colon cancer but missed lesions can lead to development of interval colon cancer. These missed lesions are particularly in right-side of the colon. Careful examination of the right colon is recommended but the ideal withdrawal time for the right colon is unknown. Design /Method We conducted a prospective, randomized controlled trial in patients undergoing screening or surveillance colonoscopies for colorectal cancer at three hospitals. Adenoma detection rate was defined as the proportion of colonoscopies in which adenomas were detected, compared to all colonoscopies. ADR was compared in patients with < 3mins right colon (up to hepatic flexure) withdrawal time, to patients with ≥ 3mins right colon withdrawal time. Time spent from identifying the appendiceal orifice till the start of withdrawal, which included time spent intubating the terminal ileum and examining the ileum, was excluded as this time is usually not used to identify polyps. A secondary end point was to
OLD TAHOE AND TAHOE CONGESTION CONTROL ALGORITHMS FOR TCP

One of the imperative elements of TCP is the congestion control of the system which happen when numerous info streams touch base at a router whose yield limit is not as much as the whole of the data sources. This paper introduced how Old Tahoe (Congestion Avoidance) could and Tahoe (Fast Retransmit) affect the congestion control. The system was simulated using Network Simulation Program (NetSim) to study the performance of system in terms of delay and utilization for Old Tahoe (Congestion Avoidance) and Tahoe when the congestion occurred and when there is no congestion and no error and the results showed that fast retransmit was better utilization and low delay than congestion avoidance
Learning spoken language through vision

Humans learn language at an early age by simply observing the world around them. Why can’t computers do the same? Conventional automatic speech recognition systems have a long history and have recently made great strides thanks to the revival of deep neural networks. However, their reliance on highly supervised (and therefore expensive) training paradigms has restricted their application to the major languages of the world, accounting for a small fraction of the more than 7,000 human languages spoken worldwide. This thesis introduces datasets, models, and methodologies for grounding continuous speech signals at the raw waveform level to natural image scenes. The context and constraint provided by the visual information enables our models to efficiently learn linguistic units, such as words, along with their visual semantics. For example, our models are able to recognize instances of the spoken word “water" within spoken captions and associate them with image regions containing bodies of water. Further, we demonstrate that our models are capable of learning cross-lingual semantics by using the visual space as an interlingua to perform speech-to-speech retrieval between English and Hindi. In all cases, this learning is done without linguistic transcriptions or conventional speech recognition yet we show that our methods achieve retrieval scores close to what is possible when transcriptions are available. This offers a promising new direction for speech processing that only requires speakers to provide narrations of what they see. Thesis Supervisor: James R. Glass Title: Senior Research Scientist, CSAIL
Mobile Ad hoc Networking

Recent advances in portable computing and wireless technologies are opening up exciting possibilities for the future of wireless mobile networking. A Mobile Ad hoc NETwork (MANET) consists of mobile platforms which are free to move arbitrarily. This is in contrast with the topology of the existing Internet, where the router topology is essentially static (barring network configuration or router failures). In a MANET, the nodes are mobile and inter-node connectivity may change frequently during normal operation. In this course we will focus our attention on current protocols which provide connectivity in mobile ad hoc networks, such as routing and MAC protocols. Moreover, we will also cover an emerging promising area within ad hoc networks called Sensor Networks and demonstrate its wide applicability. We will conclude this course by discussing current challenges to mobile networking that have not received as much attention from the research community, and then highlighting some of the current wireless protocol standardization efforts within the IETF and the Bluetooth SIG (Special Interest Group).
Conception intégrée de mécanismes

En faisant une etude critique du systeme interactif de conception assistee par mecanismes (SICAM), nous proposons de developper un nouvel outil de conception alliant les avantages de la conception assistee par ordinateur (CAO) avec l'intelligence artificielle (IA). Le logiciel doit permettre la liaison entre la CAO et l'IA, mais aussi avec des modules de calculs, et des bases de donnees. Il est apparu interessant d'utiliser le systeme expert comme nœud central, autour duquel s'articulent tous les modules. Cette configuration presente un certain nombre d'avantages dans le cas du pre-dimensionnement mais egalement dans le cas de la verification, ou de l'optimisation
12DoF Interaction for Scientific Visualisation

This short extended abstract investigates human-computer interactions in relation to a speciﬁc Six Degree of Freedom (6DoF) input device; described is the driver development and calibration required for a novel piece of hardware; and after initial user tests and a questionnaire of satisfaction, we consider areas for further research. This abstract concludes with a discussion of the design and use of dual-6DoF input devices and from feedback how new interaction modes will be exploited
VGG-based BAPL Score Classification of 18F-Florbetaben Amyloid Brain PET

Amyloid brain positron emission tomography (PET) images are visually and subjectively analyzed by the physician with a lot of time and effort to determine the β -Amyloid (A β ) deposition. We designed a convolutional neural network (CNN) model that predicts the A β -positive and A β -negative status. We performed 18F-florbetaben (FBB) brain PET on controls and patients (n=176) with mild cognitive impairment and Alzheimer's Disease (AD). We classified brain PET images visually as per the on the brain amyloid plaque load score. We designed the visual geometry group (VGG16) model for the visual assessment of slice-based samples. To evaluate only the gray matter and not the white matter, gray matter masking (GMM) was applied to the slice-based standard samples. All the performance metrics were higher with GMM than without GMM (accuracy 92.39 vs. 89.60, sensitivity 87.93 vs. 85.76, and specificity 98.94 vs. 95.32). For the patient-based standard, all the performance metrics were almost the same (accuracy 89.78 vs. 89.21), lower (sensitivity 93.97 vs. 99.14), and higher (specificity 81.67 vs. 70.00). The area under curve with the VGG16 model that observed the gray matter region only was slightly higher than the model that observed the whole brain for both slice-based and patient-based decision processes. Amyloid brain PET images can be appropriately analyzed using the CNN model for predicting the A β -positive and A β -negative status.
Centenario de la doctrina de la coagulación sanguínea

El misterio de la coagulacion de la sangre estimulo durante siglos la curiosidad de los investigadores. El conocimiento sobre este fenomeno se ha incrementado notablemente en el ultimo siglo y ha permitido comprender numerosos fenomenos fisiopatogenicos en diversas enfermedades hemorragicas y tromboticas. Con ello ha sido posible la aparicion de variados medicamentos de probada eficacia para prevenirlas y tratarlas. Esta era se inicio en 1905, cuando Paul Morawitz publico una extensa monografia sobre los cuatro factores de coagulacion conocidos hasta entonces (fibrinogeno, trombina, trombokinasa y calcio). En ese trabajo propuso un modelo de coagulacion dividido en dos etapas: la generacion de trombina y la coagulacion del fibrinogeno. A partir de la decada de 1940 se vivio una verdadera epoca de oro de la coagulacion, cuando aparecieron los frutos de la prueba de laboratorio de coagulacion mas empleada desde entonces, el tiempo de protrombina descrito por Armand Quick en 1935; estos incluyeron el descubrimiento y clasificacion de numerosos factores involucrados en esta funcion. El descubrimiento y la introduccion de la heparina y los cumarinicos en la terapeutica anticoagulante abrio un panorama inconmensurable para el advenimiento de los nuevos medicamentos antitromboticos. A mediados del siglo XX se habia logrado descifrar el mecanismo de la coagulacion practicamente en forma completa y se propusieron diversos modelos basados en funciones enzimaticas secuenciales, llamadas en cadena primero y en cascada despues. En la segunda mitad del siglo XX se identificaron numerosos mecanismos de regulacion de la coagulacion y aparecieron diversas pruebas de laboratorio que han permitido diagnosticar con alta precision numerosas enfermedades. Las tecnicas de separacion sanguinea permitieron producir concentrados de factores para uso clinico. Con la identificacion de los genes que codifican la sintesis de los.
Considering Network Heterogeneity in Global Application Layer Multicast Provision

As an alternative approach to the non-yet widely available IP Multicast, Application Layer Multicast (ALM) has recently become subject of intense research. Running on top of existing transport layers, most proposed ALM protocols assume homogeneous underlays, not taking into account the continuing availability of more and more different access technologies like e. g. , DSL, cell-based mobile networks and (wireless) local area networks. Also, techniques not yet available globally (quality of service support, IP Multicast, .) may be employed in parts of the Internet by certain ISPs. We present an approach that enhances a specific ALM protocol by considering several factors concerning attributes of member nodes' underlay specifications as well as their capacities and properties, configurable through the employed application that uses the protocol for data dissemination. The ALM protocol is part of the Future Internetarchitecture SpoVNet.
Estandarización de la Escala Wechsler de Inteligencia Para Adultos-Cuarta Edición en Chile Standardization of the Wechsler Intelligence Scale for Adults-Fourth Edition in Chile

Ricardo Rosas, Marcela Tenorio, Marcelo Pizarro, Patricio Cumsille y Angelica BoschPontificia Universidad Catolica de Chile Susana Arancibia Marcos Carmona-Halty Claudia P. Perez-Salas Universidad Catolica del Norte Universidad de Tarapaca Universidad de Concepcion Eduardo Pino Beatriz Vizcarra Pamela Zapata-Sepulveda Universidad de Magallanes Universidad de la Frontera Universidad de Tarapaca
Outcomes of Epidural Neuroplasty Utilizing Adhesiolysis by Means of Hydraulic and Mechanical force

Background: Sciatica due to contained herniated discs can be managed with epidural neuroplasty which has emerged as a minimally invasive technique for the treatment of low back pain. Epiduroscopy also provides an alternative minimally invasive technique that offers diagnostic and therapeutic advantages. However, both procedures are not free of complications. The most commonly seen complications are related to the drugs and hypertonic fluid administered. The aim of this retrospective study is to evaluate the efficacy of epidural neuroplasty in the treatment of degenerative chronic low back pain and radiculopathy, and the prevention of complications by means of hydraulic and mechanical adhesiolysis with Cordis® catheter. Methods: 112 patients treated by epidural neuroplasty were included in our retrospective, non-randomized case series. The outcomes and complications of epidural neuroplasty by hydraulic and mechanical adhesiolysis in patients with chronic low back pain or nerve irritation due to nerve root compression by a single-level, contained herniated disc were assessed. A blinded investigator assessed the patients before and at 3, 6, and 12 months after treatment. Patients were asked to quantify their pain using the visual analog scale (VAS) and were also surveyed in regards to their pain medication usage. The Oswestry Disability Index (ODI) was quantified by third-party observers. Observed data at 3, 6, and 12 months after management were matched to baseline. Results: The level of pain intensity and medication usage lessened considerably in the first three months after the management. An improvement in functional status was also observed in the first 3 months. Pain scores and medication use continued to increase and functional status continued to decline in our patients over the 12-month follow-up period. There were no procedure-related complications observed. Conclusion: This retrospective study of mechanical adhesiolysis with Cordis® catheter demonstrated a statistically significant improvement in VAS pain scores, functional status and a reduction in medication intake. These findings suggest that epidural neuroplasty can be a safe and effective procedure for selected patients. To evaluate the long-term efficacy of this minimally invasive technique, further randomized, controlled studies are required.
Analysis of Stability and Dynamic Limitations of a VSC Terminal with DC Voltage Droop Control

—This paper addresses the problem of analyzing the dynamic limitations of a VSC terminal with DC voltage droop control. Thanks to its fast response, DC voltage droop control is usually used to adjust the DC voltage in case of power imbalance. To ensure the stability of the VSC terminal, the dynamics between the dq currents ( i l,dq ) and the DC voltage ( u c ) must be well distinguished. Therefore, the choice of the droop control gain K u and the dq current control gains K dq is still a challenging problem. First, we assume that there exist K u and K dq such that a slow and a fast dynamics can be imposed on u c and i l,dq , respectively. Then, we propose a novel methodology based on separation of dynamics to prove the existence of these control gains. Subsequently, a detailed stability analysis is carried out via Lyapunov theory, from which a necessary condition and a sufﬁcient condition are derived for the control gains. To verify this methodology, numerical simulations are carried out in MATLAB/SIMULINK.
Mifrenz: Safe email for children

Products currently available for monitoring children\'s email usage are either considered to encourage dubious ethical behaviour or are time consuming for parents to administer. This paper describes the development of a new email client application for children called Mifrenz. This new application gives parents the ability to let their children safely use email, with the minimum of intervention. It was developed using mostly free software and also with the desire to provide real first hand programming examples to demonstrate to students.
An anarchy of man : Cartesian and post-Cartesian representations of the self in selected Western literature

This Master of Arts thesis is in two parts: a novel, An Anarchy of Man, and an exegesis which places the novel in relation to philosophical concerns about the self and the way those concerns are portrayed in selected works of Western literature. The novel is set in Canberra and Sydney and tells the story of the relationship between two characters: Joe and Gin. It explores the way we in the modern Western world think about ourselves and those around us. Chapter One considers the view of the self in the work of the philosopher Rene Descartes and explores how this view is portrayed in three contemporary Australia novels, and in An Anarchy of Man. Chapter Two examines post-Cartesian views of the self, especially those in the work of the philosopher Ludwig Wittgenstein, and then considers the way the self is portrayed in Proust's Remembrance of Things Past, and in my own An Anarchy of Man. Chapter Three examines postmodern conceptions of the self and considers how these conceptions are portrayed in the work of the contemporary American novelist Don DeLillo and in my own An Anarchy of Man.
Disconnected Forbidden Subgraphs, Toughness and Hamilton Cycles

In 1974, Goodman and Hedetniemi proved that every 2-connected -free graph is hamiltonian. This result gave rise many other conditions for Hamilton cycles concerning various pairs and triples of forbidden connected subgraphs under additional connectivity conditions. In this paper we investigate analogous problems when forbidden subgraphs are disconnected which affects more global structures in graphs such as tough structures instead of traditional connectivity structures. In 1997, it was proved that a single forbidden connected subgraph in 2-connected graphs can create only a trivial class of hamiltonian graphs (complete graphs) with . In this paper we prove that a single forbidden subgraph can create a non trivial class of hamiltonian graphs if is disconnected: every -free graph either is hamiltonian or belongs to a well defined class of non hamiltonian graphs; every 1-tough -free graph is hamiltonian. We conjecture that every 1-tough -free graph is hamiltonian and every 1-tough -free graph is hamiltonian.
StochasticNet in StochasticNet

Deep neural networks have been shown to outperform conventional state-of-the-art approaches in several structured prediction applications. While high-performance computing devices such as GPUs has made developing very powerful deep neural networks possible, it is not feasible to run these networks on low-cost, lowpower computing devices such as embedded CPUs or even embedded GPUs. As such, there has been a lot of recent interest to produce efficient deep neural network architectures that can be run on small computing devices. Motivated by this, the idea of StochasticNets was introduced, where deep neural networks are formed by leveraging random graph theory. It has been shown that StochasticNet can form new networks with 2X or 3X architectural efficiency while maintaining modeling accuracy. Motivated by these promising results, here we investigate the idea of Stochastic- Net in StochasticNet (SiS), where highly-efficient deep neural networks with Network in Network (NiN) architectures are formed in a stochastic manner. Such networks have an intertwining structure composed of convolutional layers and micro neural networks to boost the modeling accuracy. The experimental results show that SiS can form deep neural networks with NiN architectures that have 4X greater architectural efficiency with only a 2% drop in accuracy for the CIFAR10 dataset. The results are even more promising for the SVHN dataset, where SiS formed deep neural networks with NiN architectures that have 11.5X greater architectural efficiency with only a 1% decrease in modeling accuracy.
Signature Similarity Search Using Cluster Image Retrieval

Significant image search in the database of signatures on previous research is still 65%, because the data stored that result capture camera [13, 14, ]. In this paper, we do the retrieval pattern signatures automatically, the algorithm that is used to find data points based on contributions. Similarity search algorithms will optimize the intra cluster and claster signatures in 3 classes i.e., Gx, Gy, gt. image capture-based content, which can calculate the similarity between the shape and texture of the images and do a grouping of pictures with minimum Euclidean distance consideration. CBIR is a set of techniques for taking pictures of semantically relevant than just image database based on recommended sources of images automatically. Performance evaluation method is now done with precision and recall for a different database. Response time to find most of the signatures from 3 grade database, giving the effect of a 78% accuracy rate higher.
The experience and the creation in the air traffic control labour

Is there perspective of the creation in the work developed under standards and strict rules and time pressure? This paper aims to analyze the experience of the air traffic controllers, by analyzing the data carried out with air traffic controllers in Sao Paulo and Rio de Janeiro. These activity is developed using process, images and mental representations There is effort and commitment to develop this activity to account for an employment density. But, when it is analyzing the air traffic controllers in their activity, it verify some actions to improve the activity. These strategies are developed based on structure of guidance and knowledge network to create another process, which is appropriate by the workers. Such strategies can be considered as creation.
Object identification in images acquired through underwater turbulent media

Images acquired through underwater turbulent media make the image processing tasks in image restoration and object identification challenging. Turbulence in water is associated with random fluctuations of temperature and salinity. These fluctuations are responsible for changing the refractive index, for attenuating illumination, imposing geometric distortions and space-variant blur on images, thus making object identification more difficult. In this paper, we propose a patch-wise deconvolution procedure for removing the space-variant blur from images for restoration purpose prior to resolving the object identification issue. The deconvolution procedure is aided with an image alignment procedure for obtaining better results. Next, an image segmentation algorithm based on fuzzy clustering is considered for object identification. Computational experiments are conducted using a real-world dataset to demonstrate the efficiency of the proposed method.
Shared decision-making about treatments for early breast cancer : preferences of older patients and clinicians

This thesis describes the preferences of both older patients with breast cancer and clinicians to optimize the current care of this patient group. The significant increase in the number of breast cancer patients above the age of 65 years necessitates insight into their preferences. Decision-making regarding treatment of early breast cancer is often difficult as decisions need to be made between two surgical options and about the addition of systemic therapy. Like younger patients, older patients are faced with these difficult decisions (together with their clinician). However, treatments for early breast cancer differ substantially between younger and older patients, which possibly can be explained by the preferences of older patients or their clinicians. Currently, little is known about the preferences of older patients, while this knowledge is particularly of great value. To assess how the current care of older patients and the treatment-decision-making process with this patient group can be optimised, we explore the preferences and motivations of older patients with early breast cancer; if and how their preferences for treatment and participation in decision-making differ from those of younger patients; and the treatment preferences of breast cancer specialists with regard to treatment of older patients.