Miracle-dz/UniFAR-FTUs huggingface dataset:
MAXIMUM ENTROPY DATA ANALYSIS

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. MAXIMUM ENTROPY DATA ANALYSIS R. Bryan
An Energy-Aware Forwarding Protocol for Multimedia Opportunistic Networks

Emerging modern smartphones are powerful and capable of exchanging larger files in a peer-to-peer manner. Such a connection can be used in opportunistic networks where the permanent end-to-end path does not exist. In this study, we present an energy-aware forwarding protocol for large data messages. We implemented a mobile peer-to-peer network application to forward messages over the Wi-Fi link. The preliminary experimental result shows that the proposed protocol can optimise the energy consumption across the network.
Mendeley: Enabling and understanding scientific collaboration

This short paper provides an update on Mendeley’s approach to scientific collaboration. Mendeley is Desktop software for organizing and collaborating. It provides a website for discovery of research and expertise, and it is a programmatic interface that provides data and functionality for many other services. Based on its collection of data on readings by its members it provides a way to understand scientific impact that compliments citation analysis and impact factors.
An under-sampling method based on fuzzy logic for large imbalanced dataset

Large imbalanced datasets have introduced difficulties to classification problems. They cause a high error rate of the minority class samples and a long training time of the classification model. Therefore, re-sampling and data size reduction have become important steps to pre-process the data. In this paper, a sampling strategy over a large imbalanced dataset is proposed, in which the samples of the larger class are selected based on fuzzy logic. To further reduce the data size, the evolutionary computational method of CHC is employed. The evaluation is done by applying a Support Vector Machine (SVM) to train a classification model from the re-sampled training sets. From experimental results, it can be seen that our proposed method improves both the F-measure and AUC. The complexity of the classification model is also compared. It is found that our proposed method is superior to all other compared methods.
Recent Progress in Optical Biosensors Based on Smartphone Platforms

With a rapid improvement of smartphone hardware and software, especially complementary metal oxide semiconductor (CMOS) cameras, many optical biosensors based on smartphone platforms have been presented, which have pushed the development of the point-of-care testing (POCT). Imaging-based and spectrometry-based detection techniques have been widely explored via different approaches. Combined with the smartphone, imaging-based and spectrometry-based methods are currently used to investigate a wide range of molecular properties in chemical and biological science for biosensing and diagnostics. Imaging techniques based on smartphone-based microscopes are utilized to capture microscale analysts, while spectrometry-based techniques are used to probe reactions or changes of molecules. Here, we critically review the most recent progress in imaging-based and spectrometry-based smartphone-integrated platforms that have been developed for chemical experiments and biological diagnosis. We focus on the analytical performance and the complexity for implementation of the platforms.
Single-Event Transient Characterization of a Radiation-Tolerant Charge-Pump Phase-Locked Loop Fabricated in 130 nm PD-SOI Technology

In this paper, a radiation-tolerant phase-locked loop (PLL) is designed and fabricated with 130 nm PD-SOI technology. A current-based charge pump is hardened using a current compensation technique in combination with the differential charge cancellation (DCC) layout of the complementary switches. Besides, the stacked SOI transistors are employed to mitigate single-event effects of the voltage-controlled oscillator. The experimental results show that the proposed PLL has no significant jitter variations under heavy-ion experiments, compared with TMR-hardened PLL. Besides, pulsed-laser testing comprehensively characterizes the single-event transients of the PLL and demonstrates its radiation tolerant performance.
Intelligent security framework for iot devices cryptography based end-to-end security architecture

Internet of Thing (IoT) provide services by linking the different platform devices. They have the limitation in providing intelligent service. The IoT devices are heterogeneous which includes wireless sensors to less resource constrained devices. These devices are prone to hardware/software and network attacks. If not properly secured, it may lead to security issues like privacy and confidentiality. To resolve the above problem, an Intelligent Security Framework for IoT Devices is proposed in this paper. The proposed method is made up of (1) the light weight Asymmetric cryptography for securing the End-To-End devices which protects the IoT service gateway and the low power sensor nodes and (2) implements Lattice-based cryptography for securing the Broker devices/Gateway and the cloud services. The proposed architecture implements Asymmetric Key Encryption to share session key between the nodes and then uses this session key for message transfer This protects the system from Distributed Denial of Service Attacks, eavesdropping and Quantum algorithm attacks. The proposed protocol uses the unique Device ID of the sensors to generate key pair to establish mutual authentication between Devices and Services. Finally, the Mutual authentication mechanism is implemented in the gateway.
A single conformational transglutaminase 2 epitope contributed by three domains is critical for celiac antibody binding and effects

The multifunctional, protein cross-linking transglutaminase 2 (TG2) is the main autoantigen in celiac disease, an autoimmune disorder with defined etiology. Glutamine-rich gliadin peptides from ingested cereals, after their deamidation by TG2, induce T-lymphocyte activation accompanied by autoantibody production against TG2 in 1–2% of the population. The pathogenic role and exact binding properties of these antibodies to TG2 are still unclear. Here we show that antibodies from different celiac patients target the same conformational TG2 epitope formed by spatially close amino acids of adjacent domains. Glu153 and 154 on the first alpha-helix of the core domain and Arg19 on first alpha-helix of the N-terminal domain determine the celiac epitope that is accessible both in the closed and open conformation of TG2 and dependent on the relative position of these helices. Met659 on the C-terminal domain also can cooperate in antibody binding. This composite epitope is disease-specific, recognized by antibodies derived from celiac tissues and associated with biological effects when passively transferred from celiac mothers into their newborns. These findings suggest that celiac antibodies are produced in a surface-specific way for which certain homology of the central glutamic acid residues of the TG2 epitope with deamidated gliadin peptides could be a structural basis. Monoclonal mouse antibodies with partially overlapping epitope specificity released celiac antibodies from patient tissues and antagonized their harmful effects in cell culture experiments. Such antibodies or similar specific competitors will be useful in further functional studies and in exploring whether interference with celiac antibody actions leads to therapeutic benefits.
Bacteriological Profile of Community Acquired Pneumonia in a Tertiary Care Hospital

1. Fever (temp >37.8 0 C) 2. Production of purulent sputum 3. Cough 4. Leucocytosis (WBC count >10000/ cumm) 1 The etiological agents of CAP are different in different countries. It varies with time and geographical distribution within the same country. Streptococcus pneumoniae is the most common etiological agent in United Kingdom, Europe, United States of America and Iraq. In India S. pneumoniae is most common organism in Delhi, Shimla and Mumbai whereas Pseudomonas aeruginosa in Ludhiana (Shah et al., 2010; Lode, 2007; Bansal et al., 2004).
Response of the alanine/ESR dosimeter to radiation from an Ir-192 HDR brachytherapy source

The response of the alanine dosimeter to radiation from an Ir-192 source with respect to the absorbed dose to water, relative to Co-60 radiation, was determined experimentally as well as by Monte Carlo simulations. The experimental and Monte Carlo results for the response agree well within the limits of uncertainty. The relative response decreases with an increasing distance between the measurement volume and the source from approximately 98% at a 1 cm distance to 96% at 5 cm. The present data are more accurate, but agree well with data published by Schaeken et al (2011 Phys. Med. Biol. 56 6625–34). The decrease of the relative response with an increasing distance that had already been observed by these authors is confirmed. In the appendix, the properties of the alanine dosimeter with respect to volume and sensitivity corrections are investigated. The inhomogeneous distribution of the detection probability that was taken into account for the analysis was determined experimentally.
El tratamiento médico de la recidiva del glioblastoma: experiencia del hospital de Sant Pau 2005-2014

La terapia del glioblastoma combinando tres tratamientos (cirugia, radioterapia y quimioterapia) ha logrado encontrar un beneficio aunque limitado en la supervivencia de pacientes con glioblastoma multiforme, alcanzando una mediana de supervivencia de alrededor de 12 meses cuando se logra aplicar a todos los pacientes. La realidad asistencial es que en los hospitales se trata gran variedad de pacientes (la tendencia es ver pacientes mas mayores y con gran numero de comorbilidades). Este estudio tiene como objetivo reportar los resultados asistenciales en una serie, sin ningun sesgo de seleccion,de 139 pacientes afectos de glioblastoma atendidos en el Hospital de Sant Pau entre el ano 2005 y 2014 Los resultados que reportamos incrementan la supervivencia global casi 5 meses respecto a otra serie del mismo hospital de los 5 anos precedentes. Se aplican diferentes tipos de farmacos asistencialmente a los pacientes afectos de glioblastoma recidivado sin que haya estudios concluyentes que delimiten un tratamiento claramente estandar en segunda linea (como si lo hay para los pacientes en primera linea). Los tratamientos cuando el glioblastoma recurre aportan un beneficio clinico modesto (aumento de pocos meses de supervivencia) a costa de una posible afectacion de la calidad de vida secundaria a la toxicidad. En este estudio se describen las lineas aplicadas en la recidiva y su posible beneficio clinico.Concluimos que la aplicacion de segundas lineas de tratamiento puede incrementar la supervivencia en enfermos seleccionados. Un objetivo complementario del anterior es cuantificar los costes globales del tratamiento en euros delimitando los gastos que ha supuesto el tratamiento tras la primera linea. El coste global por enfermo (incluyendo cirugia, radioterapia y quimioterapia) es de 17985 euros. El gasto medio en quimioterapia total de todos los casos tratados fue de 7929 euros. El coste extra por enfermo tratado en segunda linea o lineas posteriores fue de 5630 euros. Otro de los objetivos de la tesis es delimitar en un estudio fase II realizado de forma prospectiva con pacientes recurrentes la eficacia de un farmaco inhibidor de EGFR (erlotinib). Los pacientes fueron seleccionados tras evidenciar que expresaban en inmunohistioquimica EGFRvIII y PTEN conservado . Se alcanzo una supervivencia global de 7,1 meses y una supervivencia libre de progresion de 3,9 meses. La toxicidad fue minima (diarrea y toxicidad cutanea, ninguna grado3/4) . El estudio fue negativo y no reprodujo los resultados previos publicados por lo que concluimos que no puede considerarse el uso asistencial de los inhibidores de EGFR en este subgrupo de glioblastomas en la recurrencia dado el alto precio y limitada eficacia.
Penetrating Retrobulbar Orbital Foreign Body: A Transcranial Approach

We report the successful removal of a retrobulbar foreign body using a transcranial approach in a 63-year-old patient with a penetrating injury to the left eye. Initial ocular examination revealed a corneoscleral laceration, hyphema, a traumatic cataract, and vitreous hemorrhage. Visual acuity consisted only of the perception of hand motion. Computed tomography demonstrated an orbital foreign body in the retrobulbar area. Emergency corneoscleral suturing, phacoemulsification of the cataract, and vitrectomy with posterior vitreous detachment were performed. Fifteen days after the emergency operation, we successfully removed the orbital foreign body using a transcranial approach, although the foreign body was very close to the optic nerve. On fundus examination 6 months later, a white, fibrous lesion was seen inferior to the optic disc, and the corrected visual acuity was 20/30. These positive results may be due to the complete vitrectomy at the correct time performed by a retina specialist and the minimal pressure on the eyeball while removing the foreign body, which resulted from the use of a transcranial approach.
Efficient Design of a Compact Wideband EBG Filter for Active Integrated Antennas

In this work an efficient numerical approach, based on a suitable full-wave unit-cell analysis of arbitrarily-shaped printed structures, is applied to accurately characterize Electromagnetic BandGap (EBG) filters able to improve performance in Active Integrated Antennas (AIAs). In particular, a precise control of impedance values is obtained for harmonic tuning by means of properly designed tapered microstrip-line elements. A synthesis procedure for a microwave transmitter with specific constraints is thoroughly carried out, which emphasizes the accuracy and efficiency of this technique.
Human observation-based calibration of multiple RGB-D cameras for intelligent space

In this paper, we propose a method to calibrate multiple RGB-D cameras for the Intelligent Space (iSpace) using human observation. The iSpace, that is consisted of many sensors, can understand what is happening in it and can support people in it based on the understand results. In the iSpace, we can add and remove the sensors easily. The proposed method is suitable for calibrating such system and allows us to calibrate the system without stopping the system. The proposed calibration uses human position observations as feature points. In addition, our method consists of two steps for achieving accurate calibration. In the first step, we conduct calibration based on planar surfaces for initial alignments. Then, we calibrate all RGB-D cameras using human position observations. Experimental results show that our calibration method have enough accuracy for recording and merging 3-D information from various information captured by each camera.
Simulation of Fluid Dynamics and Interactions

Through interaction with surroundings, the fluids may change their properties such as shapes, temperature vastly, and the same would happen to the surroundings simultaneously. On the other hand, different surroundings characterize different interactions, and may change the shapes and motions of the fluids in different ways. Therefore, it is of importance in physically-based simulation of fluids to build physically correct models to represent the varying interactions between fluids and the environments. In this paper, we make a simple summation on the interactions, and in particular focus on those most interesting to us, and model them with various physical solutions. In some of the methods, advantage is taken with the graphics processing unit (GPU) to achieve real-time computation for medial-scale simulation
Cobalt silicate hierarchical hollow spheres for lithium-ion batteries

In this paper, the synthesis of cobalt silicate novel hierarchical hollow spheres via a facile hydrothermal method is presented. With a unique hollow structure, the Co2SiO4 provides a large surface area, which can shorten the lithium ions diffusion length and effectively accommodate the volumetic variation during the lithiation/de-lithiation process. Serving as an anode material in lithium-ion battery application, the Co2SiO4 electrode demonstrates a high reversible specific capacity (first-cycle charge capacity of 948.6 mAh g−1 at 100 mA g−1), a cycling durability (specific capacity of 791.4 mAh g−1 after 100 cycles at 100 mA g−1), and a good rate capability (specific capacity of 349.4 mAh g−1 at 10 A g−1). The results indicate that the cobalt silicate hierarchical hollow sphere holds the potential applications in energy storage electrodes.
Using geometric control to design trajectories for an AUV to map and sample the summit of the Loihi submarine volcano

Autonomous underwater vehicles are commonly used for ocean exploration and this research illustrates one of their typical applications. Here, a practical mapping and sampling mission for the summit of the Loihi submarine volcano, a seismically active seamount southeast of the Island of Hawaii, is designed and simulated. Mapping the underwater volcano is safety-critical for monitoring earthquakes and tsunami warnings caused by the active volcano. mal vents located at the summit also increase the interest in exploration and experimentation. These kinds of underwater scenarios are highly dangerous. For instance, the rapidly changing landscape of Loihi witnesses continuously falling rocks. Therefore, the mathematical framework of geometric control theory is used to take into account the possibility of loosing some degrees of freedom due to actuator failures. Moreover, the proposed control strategy can be augmented with a state feedback control in case of full actuation. Graphic simulations show the effectiveness of this approach in handling initial perturbations.
Reducing UPPAAL models through control flow analysis

This paper present a dead variable analysis algorithm for reducing the state space of UPPAAL models. By resetting irrelevant variables to their initial value reductions of UPPAAL models are achieved. The developed algorithm consists of two parts. In the rst part we dene an algorithm to determine the relevance of variables. We also cope with the various features of UPPAAL like, for instance, function calls and value passing variables and we present an algorithm to determine the relevance of variables that are used in a property. In the second part we transform the original timed automata by introducing resets for irrelevant variables. We improve on extending transformation algorithms by not resetting irrelevant variables at every location. Based on the developed algorithm we implemented a tool that performs the transformation and by executing this tool for three case studies we show that it indeed achieves reductions. We conclude with noting that, next to the reductions, the main benet of our work is that UPPAAL users do not have to perform the resets manually any more, making their work easier and less error prone, as these resets can now be performed automatically.
Analysis of urinary metabolic profile in aging rats undergoing caloric restriction

Background and aims: While caloric restriction (CR) is associated with a prolonged lifespan in multiple species by regulating metabolism, a comprehensive profile of metabolism under CR conditions remains largely unclear. Therefore, in this study we aimed to characterize the metabolomic profiling associated with CR using a rat model. Methods: Rapid resolution liquid chromatography/electrospray ionization quadrupole-time of flight mass spectrometry (RRLC/ESI-Q-TOFMS) was employed to analyze metabolomic profiling of urine samples from aging rats who underwent caloric restriction (CR; n=7) or were provided a normal diet (N; n=8) for 12 weeks time. Multivariate data analysis was performed on the mass data of metabolomic profiles to uncover the differences between the CR and N groups. Results: CR treatment led to manifest metabolic changes in aging rats, and fifteen urinary metabolites including hypoxanthine, hippurate, dimethylglycine and creatinine were significantly different in the rat groups. Conclusion: Our study demonstrates the high reliability of the HPLC-based metabolomic approach towards the study of anti-aging effects induced by CR, while the urinary metabolites we identified may become potential biomarkers of aging.
Regression with spatially misaligned data

We present a simple approach to the problem of estimating the regression slope parameter from spatially misaligned point data. We assume a linear regression model with errors and covariates from two independent Gaussian spatial processes where covariate and response are observed at different locations. Correlation in the covariate is exploited to predict unobserved covariates via kriging. Kriged values are used to find weighted least squares estimates of regression parameters in a ‘krige‐and‐regress’ (KR) procedure. The variance of this estimator is calculated, and a variance estimator is proposed. Because the model and assumptions make it possible to write down the joint likelihood of the data, a maximum likelihood (ML) estimator can be found. Under regularity conditions, this estimator is asymptotically normal with asymptotic variance given by the inverse information matrix, which yields a variance estimator for the ML estimator of the regression parameters. The KR and ML estimators are compared in an example using Environmental Protection Agency data and a simulation study is conducted. While the ML estimator of the slope parameter has a smaller variance than the KR estimator, the ML variance estimator is too small to be used for inference whereas the KR variance estimator gives approximately correct inference. Copyright © 2007 John Wiley & Sons, Ltd.
Ectodermal stimulation of the production of hyaluronan‐dependent pericellular matrix by embryonic limb mesodermal cells

Interaction of ectoderm and underlying mesoderm is essential for normal vertebrate limb morphogenesis. One of the functions of limb bud ectoderm is its influence on the composition of extracellular matrix in subectodermal mesoderm, which in turn participates in morphogenesis of this region of the limb. This matrix is highly enriched in hyaluronan, even at the time when the level of hyaluronan in the chondrogenic and myogenic regions of the limb decreases, due to secretion of a stimulatory factor by the ectoderm. In this study we show that limb bud ectoderm not only stimulates hyaluronan synthesis but induces formation of large hyaluronan‐dependent, pericellular matrices around cultured limb bud mesodermal cells. The ectodermal activity is mimicked in great part by fibroblast growth factor‐2 and transforming growth factor‐β, and antibodies to these proteins inhibit induction of mesodermal pericellular matrix by the ectodermal factor. It has been shown by other investigators that fibroblast growth factor‐2 is produced by limb ectoderm whereas transforming growth factor‐β is present in limb mesodermal tissues. Thus we conclude that the unique properties of mesodermally produced matrix underlying limb bud ectoderm are regulated, at least in part, by ectodermal fibroblast growth factor‐2, probably in concert with mesodermal transforming growth factor‐β. © 1995 wiley‐Liss, Inc.