Miracle-dz/UniFAR-FTUs huggingface dataset:
A review on cloud robotics based frameworks to solve simultaneous localization and mapping (slam) problem

Cloud Robotics is one of the emerging area of robotics. It has created a lot of attention due to its direct practical implications on Robotics. In Cloud Robotics, the concept of cloud computing is used to offload computational extensive jobs of the robots to the cloud. Apart from this, additional functionalities can also be offered on run to the robots on demand. Simultaneous Localization and Mapping (SLAM) is one of the computational intensive algorithm in robotics used by robots for navigation and map building in an unknown environment. Several Cloud based frameworks are proposed specifically to address the problem of SLAM, DAvinCi, Rapyuta and C2TAM are some of those framework. In this paper, we presented a detailed review of all these framework implementation for SLAM problem.
Multisensor Approach to Walking Distance Estimation with Foot Inertial Sensing

Walking distance estimation is an important issue in areas such as gait analysis, sport training or pedestrian localization. A natural location for portable inertial sensors for gait monitoring is to attach them to the user shoes. Step length can be computed by means of a biaxial accelerometer and a gyroscope on the sagital plane. But estimations based on the direct signal integration are prone to error. This paper shows the results achieved by using a multisensor model approach to reduce uncertainty. Unbounded growth of error is reduced by means of sensor fusion techniques. The method has been tested, and early experimental results show that it provides an estimation of the walking distance with a standard deviation smaller than with single IMU similar systems.
Mitochondrial Sources of H2O2 Generation Play a Key Role in Flow-Mediated Dilation in Human Coronary Resistance Arteries

Abstract— We previously showed that hydrogen peroxide (H2O2) contributes to flow-induced dilation in human coronary resistance arteries (HCRAs); however, the source of this H2O2 is not known. We hypothesized that the H2O2 is derived from superoxide (O2•−) generated by mitochondrial respiration. HCRAs were dissected from right atrial appendages obtained from patients during cardiac surgery and cannulated with micropipettes. H2O2-derived radicals and O2•− were detected by electron spin resonance (ESR) using BMPO as the spin trap and by histofluorescence using hydroethidine (HE, 5 &mgr;mol/L) and dichlorodihydrofluorescein (DCFH, 5 &mgr;mol/L). Diameter changes to increases in pressure gradients (20 and 100 cm H2O) were examined in the absence and the presence of rotenone (1 &mgr;mol/L), myxothiazol (100 nmol/L), cyanide (1 &mgr;mol/L), mitochondrial complex I, III, and IV inhibitors, respectively, and apocynin (3 mmol/L), a NADPH oxidase inhibitor. At a pressure gradient of 100 cm H2O, ubisemiquinone and hydroxyl radicals were detected from effluents of vessels. Including superoxide dismutase and catalase in the perfusate reduced the ESR signals. Relative ethidium and DCFH fluorescence intensities in HCRAs exposed to flow were enhanced (1.45±0.15 and 1.57±0.12, respectively compared with no-flow) and were inhibited by rotenone (0.87±0.17 and 0.95±0.07). Videomicroscopic studies showed that rotenone and myxothiazol blocked flow-induced dilation (% max. dilation at 100 cm H2O: rotenone, 74±3% versus 3±13%; myxothiazol, 67±3% versus 28±4%; P <0.05). Neither cyanide nor apocynin altered flow-induced dilation. These results suggest that shear stress induced H2O2 formation, and flow-induced dilation is derived from O2•− originating from mitochondrial respiration.
Unraveling the Complexities of DNA-Dependent Protein Kinase Autophosphorylation

ABSTRACT DNA-dependent protein kinase (DNA-PK) orchestrates DNA repair by regulating access to breaks through autophosphorylations within two clusters of sites (ABCDE and PQR). Blocking ABCDE phosphorylation (by alanine mutation) imparts a dominant negative effect, rendering cells hypersensitive to agents that cause DNA double-strand breaks. Here, a mutational approach is used to address the mechanistic basis of this dominant negative effect. Blocking ABCDE phosphorylation hypersensitizes cells to most types of DNA damage (base damage, cross-links, breaks, and damage induced by replication stress), suggesting that DNA-PK binds DNA ends that result from many DNA lesions and that blocking ABCDE phosphorylation sequesters these DNA ends from other repair pathways. This dominant negative effect requires DNA-PK's catalytic activity, as well as phosphorylation of multiple (non-ABCDE) DNA-PK catalytic subunit (DNA-PKcs) sites. PSIPRED analysis indicates that the ABCDE sites are located in the only contiguous extended region of this huge protein that is predicted to be disordered, suggesting a regulatory role(s) and perhaps explaining the large impact ABCDE phosphorylation has on the enzyme's function. Moreover, additional sites in this disordered region contribute to the ABCDE cluster. These data, coupled with recent structural data, suggest a model whereby early phosphorylations promote initiation of nonhomologous end joining (NHEJ), whereas ABCDE phosphorylations, potentially located in a “hinge” region between the two domains, lead to regulated conformational changes that initially promote NHEJ and eventually disengage NHEJ.
Nuevos problemas en la evaluación de proyectos de ingeniería : evaluación de la vulnerabilidad y de la percepción del riesgo en el análisis coste-beneficio medioambiental

espanolEsta tesis doctoral intenta estudiar en profundidad la metodologia del analisis coste-beneficio medioambiental y la posibilidad de incorporar en ella el estudio de algunos de los atributos ambientales que definen un ecosistema con respecto a su capacidad para resistir impactos. Para ello primero se estudiara el ACB medioambiental en si mismo, tanto su metodologia, como los problemas asociados a la aplicacion de la misma, senalando tanto sus fortalezas como debilidades como una forma de analizar profundamente el metodo. Seguidamente se estudiaran cuatro conceptos medioambientales que pueden definir el comportamiento de los ecosistemas: sostenibilidad, resiliencia, vulnerabilidad y percepcion del riesgo. El analisis de ellos tanto por separado como en conjunto debe permitir determinar las relaciones que entre ellos existen. Por ultimo, se estudiara la posibilidad de incorporar estos conceptos en la propia metodologia del ACB medioambiental. EnglishThis PhD. thesis aims to study in depth the environmental CBA methodology and the possibility of incorporating into it the study of some environmental attributes with respect to their impact resistance. On a first approach, the analysis is led by means of studying the CBA itself, the main methodologies, and all the problems associated to it, pointing out both the strengths and criticisms that are made to it, so as to analyze all the issues related to the method. Second, studying four environmental concepts that can define some of the behaviors of an ecosystem: sustainability, resilience, vulnerability and risk perception. The analysis of each one of these terms both separately and altogether will allow to determine the possible relationships that exist between them. And finally, the possibility of incorporating these concepts into the methodology of environmental CBA will be studied.
Synaptic Self: How Our Brains Become Who We Are

Joseph Le Doux believes that the synapses - the little spaces between the neurons in our brains - are the key to everything the brain does. They are the channels of communication by which we think, act, imagine, feel and remember. But synapses do more. They also allow interactions between mental processes, allowing us to remember the important stuff in life better than the trivial. What's more, synapses encode the essence of the individual, allowing us to be the same person from moment to moment, week to week and year to year. In short, the self is synaptic.
Allostatic Load: A Mechanism of Socioeconomic Health Disparities?

Although research on health disparities has been prioritized by the National Institutes of Health, the Institute of Medicine, and Healthy People 2010, little has been published that examines the biology underlying health disparities. Allostatic load is a multisystem construct theorized to quantify stress-induced biological risk. Differences in allostatic load may reflect differences in stress exposure and thus provide a mechanistic link to understanding health disparities. The purpose of this systematic review is to examine the construct of allostatic load and the published studies that employ it in an effort to understand whether the construct can be useful in quantifying health disparities. The published literature demonstrates that allostatic load is elevated in those of low socioeconomic status (SES) as compared to those of high SES. The reviewed articles vary in the justification for inclusion of variables. Recommendations for future research are made in the contexts of measurement, methodology, and racial composition of participants.
Pre-fetching Webpages on Mobile Social Network: User-Aware Dynamic Markov Chain

Different users, different servicing is an important commercial strategy. As VIP users are the main source of revenue, how to provide precise and personalized services for them becomes a hot spot for Mobile Social Network(MSN) providers. Effective pre-fetching of web-pages can improve Quality of Experience (QoE) for MSN users by reducing latency perceived from end-to-end. In this paper, we propose a novel user-aware dynamic Markov chain model to provide personalized pre-fetching for VIP users while guaranteeing the common pre-fetching for ordinary users. It can avoid the weak points generated by applying the former pre-fetching mechanisms to MSN: non-user awareness, low accuracy, high complexity, and repetitive training. Based on real click-stream data of wap.renren. com collected from a main Mobile Telecom Carrier in Chongqing province of China, we evaluate the model.
Liver‐specific knockout of GRP94 in mice disrupts cell adhesion, activates liver progenitor cells, and accelerates liver tumorigenesis

Liver cancer is one of the most common solid tumors, with poor prognosis and high mortality. Mutation or deletion of the tumor suppressor phosphatase and tensin homolog deleted on chromosome 10 (PTEN) is strongly correlated with human liver cancer. Glucose‐regulated protein 94 (GRP94) is a major endoplasmic reticulum (ER) chaperone protein, but its in vivo function is still emerging. To study the role of GRP94 in maintaining liver homeostasis and tumor development, we created two liver‐specific knockout mouse models with the deletion of Grp94 alone, or in combination with Pten, using the albumin‐cre system. We demonstrated that while deletion of GRP94 in the liver led to hyperproliferation of liver progenitor cells, deletion of both GRP94 and PTEN accelerated development of liver tumors, including both hepatocellular carcinoma (HCC) and cholangiocarcinoma (CC), suggestive of progenitor cell origin. Furthermore, at the premalignant stage we observed disturbance of cell adhesion proteins and minor liver injury. When GRP94 was deleted in PTEN‐null livers, ERK was selectively activated. Conclusion: GRP94 is a novel regulator of cell adhesion, liver homeostasis, and tumorigenesis. (Hepatology 2014;59:947–957)
Evaluation of Measures to Facilitate Access to Care for Pregnant Deaf Patients: Use of Interpreters and Training of Caregivers in Sign Language

Objectives: Deafness affects about 7% of the French population. In this context, the clinic of obstetrics and gynecology of Grenoble University Hospital (France) has set up two affirmative action’s to assist pregnant signingdeaf patients (who preferentially “speak” sign language). One is, a partnership with qualified French Sign Language interpreters from the Deaf Patient Reception and Care Unit, and the second is, sign language training for nine medical professionals. The aim of this study is to evaluate these initiatives in deaf patient care and propose some potential improvements. Material and methods: This was a descriptive study conducted from information contained in the computerized and paper files of 22 pregnant signaling deaf patients. Results: There is significant adaptation of patient management during scheduled consultations and hospitalization, whereas the adaptation rate remains poor for emergency situations. Conclusion: The adaptation of care to the deaf turns out to be perfectible, through advance planning of the entire pregnancy consultation schedule. In emergency situations, the creation of a sign language interpreter on-call position would greatly improve the access to appropriate for these patients.
Chronometric explorations of mind : the third Paul M. Fitts lectures, delivered at the University of Michigan, September 1976

In this widely cited volume, Professor Posner describes a unified experimental approach to the study of the mind based on experiments concerning the time course of human information processing. Drawing systematically on studies of performance, subjective experience, and brain processes, he develops relationships between cognitive psychology and neuroscience. Professor Posner has written a new preface for the paperback edition.
Learning by Actively Querying Strong Modal Features

Complex objects are usually with multiple modal features. In multi-modal learning, modalities closely related to the target tasks are known as strong modalities. While collecting strong modalities of all instances is often expensive, and current multi-modal learning techniques hardly take the strong modal feature extraction expenses into consideration. On the other hand, active learning is proposed to reduce the labeling expenses by querying the ground truths for specific selected instances. In this paper, we propose a training strategy, ACQUEST (ACtive QUErying STrong modalities), which exploits strong modal information by actively querying the strong modal feature values of "selected" instances rather than their corresponding ground truths. In ACQUEST, only the informative instances are selected for strong modal feature acquisition. An inverse prediction technique is also proposed to make the ACQUEST a unified optimization form. Experiments on image datasets show that ACQUEST achieves better classification performance than conventional active learning and multi-modal learning methods with less feature acquisition costs and labeling expenses.
Web site success metrics: addressing the duality of goals

T he Internet’s ascension from an obscure U.S. Department of Defense experiment to a cultural icon has been remarkable. In less than a decade, it has extended into nearly every facet of society, from commerce to education to gaming. As of August 2006, there were approximately 92 million Web sites [3]. With the sheer quantity of sites, evaluating their success has added importance, but determining appropriate metrics to measure success isn’t a trivial task. Previous research on Web site success has often taken the perspective of the user, more specifically looking at consumer adoption of e-commerce Web sites. However, Web sites will have various goals, and success is clearly linked to achieving these goals. In addition, users and Web site owners may have different goals as well, and unless there is convergence of these goals, success will be evaluated differently by the two parties. Since users view the organization through its Web site and the organization represents itself through its Web site, we argue that successful Web sites should be designed to address the multiple goals of the owner while taking into account the multiple audiences of the site. The better a site can help the convergence of the goals of the users and the owners, the more successful the site will be. These perspectives are captured in the following Web site success considerations:
The importance of the telomere and telomerase system in hematological malignancies

Telomeres are specialized chromosomal end structures composed of repeat TTAGGG sequences in humans. They shorten with each cell division and thus serve as the "mitotic clock" of the cell. One of their main functions is the maintenance of chromosomal integrity and their excessive shortening is associated with DNA instability. Telomerase, a unique reverse transcriptase, is inactive in most somatic human cells and is up-regulated in most cancer cells. Recently, the biology of the telomere/telomerase system has attracted much attention because of its possible role in carcinogenesis and aging. In this article we review the biology of this system and its relevance to normal and malignant hematopoietic cells. The biological, diagnostic and prognostic value of telomere/telomerase biology is discussed, as well as its potential future applications in cancer therapeutics.
Use of Markov Chain for Deterioration Modeling and Risk Management of Infrastructure Assets

Current annual expenditure for management and renewal of Infrastructure assets around the world is 500 billion US dollars. With an aging stock of infrastructure, innovative methods for management of risk of failure and optimizing of maintenance expenditure becomes extremely important. Whilst different infrastructure assets may have different attributes, governing issues are similar in nature. Prediction of deterioration of some infrastructure is complex since they can constitute of a number of discrete elements with a vast range of influencing factors. A major issue currently faced by local government agencies in Australia is the inability to predict maintenance and replacement expenditure with a reasonable accuracy, which creates situations where emergency repairs would use the funds kept for routine maintenance, which then creates a vicious circle of deterioration.
An Approach for Secure Distributed Deduplication System

In this paper we introduce a deduplication system with improved reliability. As we all know the cloud computing performs a number of operations on data. All commercial cloud service providers know that the users demand for huge amount of storage space because number of online operations. Deduplication is good thing to implement but it will not work on encrypted data because of conflict in encryption. As we know convergent encryption, where key is derived from the hash of data which is recovered by the same encryption key.to overcome from all such interrupts we need a secure system which will perform the deduplication. The system checks at block level as well as file level with assignment of tags. Digital libraries contains huge amounts of data. Most of the times while data storage the number of copies of the same data are stored, again and again, so to remove such duplicate data copies we need a Deduplication technique. The deduplication removes unnecessary data, but at the same time, it is beneficial if it retrieves it with more reliability. In this paper, we have studied various approaches to improve the reliability of data after removing duplicate copies in data storage. The use of such deduplication schemes also reduces the data transfer rate to upload and download data . The time
Learning Task Specific Web Services Compositions with Loops and Conditional Branches from Example Executions

Majority of the existing approaches to service composition, including the widely popular planning based techniques, are not able to automatically compose practical workflows that include complex repetitive behaviors (loops), taking into account possibility of failures and non-determinism of web service execution results. In this work, we present a learning based approach for composing task specific workflows. We present an approach for learning task specific web service compositions from a very small number of observations (one or more) of example service execution sequences (traces) that solve a given goal. The workflows learned by this approach generalize to the tasks justified by the observed execution trace. The generalization captures the repetitive executions of service sequences, conditional branching executions, and repetitions and branching resulting from failures. We evaluate the approach on a complex web services application involving arbitrary number of repetitive executions and failed executions.
Astrovirus Infection in an Immunocompromised Adult With Encephalitis by Unbiased Next-Generation Sequencing

Samia N. Naccache, Karl S. Peggs, Frank M. Mattes, Rahul Phadke, Jeremy A. Garson, Paul Grant, Erik Samayoa, Scot Federman, Steve Miller, Michael P. Lunn, Vanya Gant, and Charles Y. Chiu Department of Laboratory Medicine, University of California, San Francisco, and UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, California; Departments of Clinical Hematology, Clinical Microbiology, Neuropathology, Neurology, University College London Hospitals NHS Foundation Trust, and Research Department of Infection, Division of Infection and Immunity, University College London, United Kingdom; and Department of Medicine, Division of Infectious Diseases, University of California, San Francisco
Transition Function for Closed-Form Representation of Metasurface Reactance

Metasurfaces are thin metamaterials used for manipulating propagation of plane waves and surface-waves (SWs). They can be characterized by homogenized-boundary conditions, which, in absence of losses, can be represented through an equivalent reactance. In this paper, we introduce a general representation of isotropic frequency-dependent reactance which is valid along the dispersion curve of the relevant TM SW. This representation is written in terms of a transition function derived from a manipulation of the Cardano's formula for third-degree algebraic equations. Throughout a large portion of the dispersion curve, this transition function depends on one parameter only, which is an equivalent quasi-static capacitance. Approaching the Floquet-Bloch region, where many higher order Floquet modes are excited, two additional parameters should be extracted from the full-wave data to complete the transitional representation of the reactance until the upper boundary of the Brillouin region. The final formula is valid for a generic isotropic reactance and for an anisotropic reactance when the direction of propagation is along a symmetry axis of the unit cell element.
Torque ripple analysis of PMSG in standalone mode supplying harmonic loads

Standalone generation system is the most preferred for local energy supply. Since, the generator supplies directly to the load, its nature affect the generator performance. Thus, analysis of generator performance in such environment becomes critical. Therefore, under such environment, the choice of generator and it proper sizing becomes vital. In this paper, the performance of such a standalone system, supplying non-linear loads is analyzed. The generator considered is permanent magnet synchronous generator (PMSGs). The generator is considered in horizontal configuration. The study has been performed using MATLAB/Simulink. The results obtained show that, a) torque ripples are induced in the PMSG under such conditions, and b) For same type of load, supplied by same type PMSG, higher ratings produce more ripples. Also, the effect of the harmonic currents on the flux of the generator has been demonstrated.