Miracle-dz/UniFAR-FTUs huggingface dataset:
Neural networks applied to the determination of thickness and defocus from high resolution transmission electron microscopy images

In this paper we show how neural networks can be used as powerful tools for quantitative extraction of relevant information from high resolution transmission electron microscopy (HRTEM) images. Different data preprocessing and modelling strategies (including Multilayer Perceptrons and Probabilistic Neural Networks) were analyzed. The methodology has been applied to the determination of thickness and defocus from HRTEM images corresponding to GaN structures with wurtzite crystalline structure using a field emission gun JEOL 2010F equipped with an energy filter.
MAXIMUM KURTOSIS BEAMFORMING

In prior work, the current authors investigated the use of optimization criteria for beamforming that exploit the non-Gaussianity of human speech. In particular, we examined beamforming algorithms designed to maximize the kurtosis or negentropy of the subband output of a generalized sidelobe canceller. These techniques, while effective, require making multiple passes through the data, and hence are unsuitable for online implementation. Thus, in this work, we propose an online implementation of the maximum kurtosis beamformer. In a set of distant speech recognition experiments, we compare the effectiveness of the proposed technique to several common beamformer designs. Compared to a single channel of the array, the proposed algorithm reduced word error rate from 24.0% to 10.3%, which is the best performance yet achieved on this task.
Modelización de diseños split-plot y estructuras de covarianza no estacionarias: un estudio de simulación

espanolUn tema que ha suscitado mayor interes entre los investigadores del analisis de datos longitudinales ha sido el desarrollo, a traves de estudios de simulacion, de modelos de analisis que incorporen aquellas estructuras de covarianza que mejor se ajusten a los datos. Al analizar las estructuras de covarianza en el ambito de datos longitudinales, nos encontramos que no siempre las varianzas son constantes. Asi, es frecuente que las varianzas incrementen con el tiempo cuando las correlaciones entre observaciones igualmente espaciadas no son homogeneas. En este trabajo llevamos a cabo un estudio de simulacion, a fin de analizar dos estructuras de coeficientes aleatorios con correlaciones no estacionarias. La primera con varianzas constantes (RC) y la segunda, dada su utilidad en contextos longitudinales, con varianzas que presentan una estructura lineal (RCL). Una vez generadas ambas matrices de covarianza, RC y RCL, se ajustan once estructuras de covarianza mediante el PROC MIXED para el criterio Akaike, lo que permite seleccionar la de mejor ajuste. El objetivo de este estudio es conocer cuales son los porcentajes de ajuste de las distintas matrices de covarianza y en que medida la de mejor ajuste es la matriz de covarianza de la poblacion. EnglishA topic that has aroused great interest among researchers who analyse longitudinal data has been the development, by means of simulation studies, of analytic models that incorporate the covariance structures which best fit the data. When analysing covariance structures within the context of longitudinal data one finds that the variances are not always constant. Indeed, the variances commonly increase over time when the correlations between equally spaced observations are not homogeneous. This paper reports a simulation study which analysed two random coefficient models with nonstationary correlations. The first had constant variances (RC), while the second, given its utility in longitudinal contexts, showed variances with a linear structure (RCL). Once the two covariance matrices (RC and RCL) had been generated, eleven covariance structures were fitted by means of PROC MIXED for the Akaike criterion, thus enabling the best fit to be selected. The aim of the study was to determine the fit percentages of the different covariance matrices and the extent to which the one with the best fit corresponds to the population covariance matrix.
Multimedia non-invasive hand therapy monitoring system

In this paper, we present a novel non-invasive multimedia therapy retrieval framework to assist therapists in evaluating and managing the progress of Hemiplegic patients using inexpensive off-the-shelf 3D motion sensor. We have developed therapy retrieval analytics to detect, recognize and track key rotational and angular movements of different hand joints. The framework stores the raw motion data in a network repository, retrieves the raw motion data on demand and produces live plots that show quality of improvement metrics such as range of motion of each joint movement in the hand. These statistical reports would assist therapists and caregivers to get an insight about the progress of a patient's therapy and thus help adapting her/his future therapy assignments accordingly. Finally, we will present the analysis of initial test results that show the viability and potential of our system.
nfluence of the conductor network composites on the electromechanical erformance of ionic polymer conductor network composite actuators

We investigate the influence of conductor network composites (CNCs) on the electromechanical performance of the ionic polymer conductor network composite (IPCNC) actuators fabricated by the direct assembly method with ionic liquids as the solvent. It was observed that the newly developed IPCNCs with the layer-by-layer (LbL) self-assembled Au nanocomposite CNC layers exhibit a high strain response (∼14% peak-to-peak strain) in comparison with that of IPCNCs with the traditional RuO2/Nafion nanocom-
Highly Expandable Reconfigurable Platform using Multi-FPGA based Boards

Reconfigurable computing has become an essential part of research since last few decades. By placing computationally intensive applications in the reconfigurable logic area of the system, the remarkable performance gains have been found. Among the different research directions in the domain of reconfigurable computing, the use of multiple reconfigurable devices has become the most promising solution for highly expandable reconfigurable computing platforms. In this research paper an emerging design of a Multi-FPGA based platform has been presented with the characteristics of being highly expandable for incorporating many devices according to future needs. The design of this platform is encountering the capability of being usable for highly scalable reconfigurable computing applications. The presented platform is based on an emerging concept of using multidimensional computing nodes with most optimal configuration propagation latencies.
Significance of results in cancer imaging

The effective management of patients with cancer requires a multidisciplinary team approach with the diagnostic radiologist playing an extremely important role in that team. Increasingly it is realized that it is often the responsibility of the radiologist to understand and elucidate the significance of the findings of a test. Its significance lies not only in the clinical context but also in appreciating the impact that the test will have on the patient’s outcome. The latter requires a knowledge of the cost-effectiveness of the use of any imaging technique.
Citation for Published Item: Use Policy Biogeographic Variation in the Diet and Behaviour of Cercopithecus Mitis Dietary Variation in Cercopithecus Mitis Introduction

The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that: • a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders. Please consult the full DRO policy for further details. Abstract 32 33 Primate species are characterised by variation in foraging behaviour and dietary composition across their 34 geographic range. Here we examine how ecological conditions account for variation in the behavioural 35 ecology of a widespread arboreal guenon, Cercopithecus mitis. Although substantial variation existed in 36 time budgets, group size, home range and day journey length, clear biogeographic patterns were not 37 apparent. In contrast, dietary variation was correlated with underlying climatic conditions. Temperature 38 seasonality, which tends to increase with latitude, was significantly positively related to the proportion of 39 fruit in the diet and negatively related to the proportion of animal matter. Both dietary components were 40 'preferred' foods, with the variability between populations reflecting the availability of different food types 41 across their geographic range. Although we found no significant relationships between climate and the 42 proportion of leaves in the diet, the ability for C. mitis to vary their diet to include a diversity of food types, 43 and to incorporate a significant proportion of leaves when preferred sources are scarce, likely underpins 44 their ability to survive across such a large distribution.
Dynamic Online Planning and Scheduling Using a Static Invariant-Based Evaluation Model

Sequential decision-making under uncertainty often uses an approach in which a plan is built over a given horizon ahead using a deterministic model, the first decisions in this plan are applied, new information is acquired, the plan is adapted or rebuilt from scratch over a sliding horizon, and so on. This paper introduces a generic local search library that can be used in this context to quickly build and rebuild good quality plans. This library is built upon the notion of invariant used in constraint-based local search. Invariants allow temporal constraints, resource constraints, and criteria to be very quickly evaluated from a variable assignment and re-evaluated from a small change in this assignment. The paper also shows how the library can be used to reason on dynamic problem instances using a unique static problem model, without dynamic memory allocation. The approach is illustrated on a problem of data download under uncertainty about the volume of data, coming from the space domain.
Atomic Data Access in Content Addressable Networks A Position Paper

While recent proposals for content addressable networks address the crucial issues of communication efficiency and load balancing in dynamic networks, they do not guarantee strong semantics of concurrent data accesses. Given that many of these proposals involve aggressive data replication without a strategy for concurrency control, they admit the possibility of returning stale data, or falsely reporting certain data as unavailable, if certain sequences of joins, leaves, and updates/lookups occur. While it is well known that guaranteeing availability and consistency in an asynchronous and failure prone network is impossible, we believe that guaranteeing atomic semantics is crucial for establishing CANs as a robust middleware service, and this property should not depend on the timing of the underlying system. In this paper, we describe a simple CAN algorithm that maintains the atomicity property regardless of timing, failures, or concurrency in the system. The liveness of the algorithm, while not dependent on the order of operations in the system, does require that node failures are masked (through state machine replication or through recovery from persistent storage) and that the network eventually delivers all messages to intended recipients.
Presidential Compensation and Institutional Revenues: Testing the Return on Investment for Public University Presidents

Abstract:Many critics consider public institution presidents' compensation to be excessive, while others argue the money yields a return on investment in private fundraising and state appropriations. Our study asks whether presidential compensation at public, four-year institutions is associated with increased institutional revenue from state appropriations and private fundraising. Using executive salary data from The Chronicle of Higher Education,our study implements ordinary least squares regression with fixed effects and temporally adjusted outcome variables while controlling for institutional and state attributes. We find no evidence of a relationship between presidential compensation and revenue generation from increased fundraising or state appropriations.
Remarkably efficient inhaled antifungal monotherapy for invasive pulmonary aspergillosis

To the Editors: Voriconazole is a broad-spectrum antifungal agent that is effective against moulds such as Aspergillus fumigatus . It inhibits the cytochrome P450-dependent 14-α–lanosterol demethylase, preventing the conversion of lanosterol to ergosterol. This results in the accumulation of toxic methylsterols in the fungal wall and the inhibition of fungal growth [1]. Voriconazole is available as an intravenous infusion solution containing a cyclodextrin molecule (Captisol®; Ligand Pharmaceuticals Inc., La Jolla, CA, USA) to increase its solubility in water [2]. Adverse effects, such as gastrointestinal disorders, visual disturbances and elevated transaminase levels, complicate the use of voriconazole if used systemically. The therapeutic concentration range of voriconazole is from 1 to 5.5 μg·mL−1 and, although higher concentrations (>5.5 μg·mL−1) are associated with better clinical outcomes, they are also associated with more severe and less common side-effects, including encephalopathy and hallucinations [1]. Inhaled voriconazole reduces histological manifestations of invasive aspergillosis in rodents [3] and it has been proposed that a favourable lung tissue to plasma concentration ratio is obtained through this route of administration [4]. Consequently, inhaled voriconazole may provide higher concentrations at the site of infection without increasing the risk of systemic side-effects. We present three cases in which life-threatening invasive aspergillosis was treated with systemic voriconazole, but due to unacceptable adverse effects, the treatment had to be withdrawn. With no other conventional treatment options, inhaled voriconazole was administered. In September 2009, a 66-yr-old, otherwise healthy male was admitted to our Dept of Infectious Diseases due to symptomatic pneumonia that had lasted for 4 weeks. The patient was a previous smoker (40 pack-yrs) and due to brain surgery for an incidental meningioma, he was treated with steroids. Due to complications, he was treated with methylprednisolone (100 mg) for >1 …
How Salience of Consistency Norms Affects Individual Differences in Ambivalent Answering in North Americans

Previous studies have found a positive relationship between trait dialecticism and ambivalent answering (Church et al., 2012; Hamamura et al., 2008). The current study explored how this relationship is affected for situational personality tests after manipulating the saliency of consistency norms (inconsistency vs. consistency manipulation), and classifying participants‘ reactions to the manipulations (Non-Reactance vs. Reactance). The results indicated that (1) Non-reactant participants showed a strong relationship between dialecticism and ambivalent answering in the inconsistency manipulation, but there was no relationship between the two in the consistency manipulation; and (2) Reactant participants showed a weaker relationship in the inconsistency manipulation, and a strong relationship in the consistency manipulation. In addition to these findings, the results indicated a positive relationship between self-knowledge and ambivalent answering, finding that the inconsistency manipulation significantly attenuates this relationship. Implications for cultural/personality research with experimental manipulations, and how to emphasize individual differences when designing manipulations, are discussed. (150 words)
Accurate analytical performance model of communications in MPI applications

This paper presents a new LogP-based model, called LoOgGP, which allows an accurate characterization of MPI applications based on microbenchmark measurements. This new model is an extension of LogP for long messages in which both overhead and gap parameters perform a linear dependency with message size. The LoOgGP model has been fully integrated into a modelling framework to obtain statistical models of parallel applications, providing the analyst with an easy and automatic tool for LoOgGP parameter set assessment to characterize communications. The use of LoOgGP model to obtain a statistical performance model of an image deconvolution application is illustrated as a case of study.
An agent-based searchable encryption scheme in mobile computing environment

The cryptographic operations in existing searchable encryption protocols will consume a lot of energy of terminals if they are used in mobile computing environment. To address this issue, novel schemes of searchable encryption are required. In this paper, for reducing user's computational burden generated by the expensive cryptographic operations, an agent-based searchable encryption (ABSE) scheme with its security model is proposed in order that the searchable encryption can be used in mobile computing environment. A concrete implement of ABSE with its security proof is presented to help user search the related data with some keywords trapdoors in either cases that the agent is online or offline. Performance analysis is also provided to show this scheme is suitable to be used in mobile environments.
The Effect of Real-time Headbox Adjustments on Data Quality

Following a patent owned by Tobii, the framerate of a CMOS camera can be increased by reducing the size of the recording window so that it fits the eyes with minimum room to spare. The position of the recording window can be dynamically adjusted within the camera sensor area to follow the eyes as the participant moves the head. Since only a portion of the camera sensor data is communicated to the computer and processed, much higher framerates can be achieved with the same CPU and camera. Eye trackers can be expected to present data at a high speed, with good accuracy and precision, small latency and with minimal loss of data while allowing participants to behave as normally as possible. In this study, the effect of headbox adjustments in real-time is investigated with respect to the above-mentioned parameters. It was found that, for the specific camera model and tracking algorithm, one or two headbox adjustments per second, as would normally be the case during recording of human participants, could be tolerated in favour of a higher framerate. The effect of adjustment of the recording window can be reduced by using a larger recording window at the cost of the framerate.
The persistence of erroneous familiarity 3 Acknowledgements

We report the case of a 39 year-old, temporal lobe epileptic male, MH. Prior to complex partial seizure, experienced up to three times a day, MH often experiences an aura experienced as a persistent sensation of déjà vu. Data-driven theories of déjà vu formation suggest that partial familiarity for the perceived stimulus is responsible for the sensation. Consequently, diverting attention away from this stimulus should cause the sensation to dissipate. MH, whose sensations of déjà vu persist long enough for him to shift his perceptual focus a number of times during the experience, spontaneously reports that these shifts make no difference to the sensation experienced. This novel observation challenges data-driven theories of déjà vu formation which have been used to explain the occurrence of déjà vu in those with temporal lobe epilepsy and the general population. Clearly, in epilepsy, erratic neuronal firing is the likely contributor, and in this paper we postulate that such brain firing causes higher-order erroneous 'cognitive feelings'. We tentatively extend this account to the general population. Rather than being a reaction to familiar elements in perceptual stimuli, déjà vu is likely to be the result of a cognitive feeling borne of the erroneous activation of neural familiarity circuits such as the parahippocampal gyrus, persisting as long as this activation persists.
Automatic Video Object Segmentation with Opacity Estimate

This paper proposes an automatic video object segmentation with opacity estimate to obtain good alpha mattes and the foreground objects. In the proposed method, the trimap is automatically generated from the result obtained using video object segmentation based on motion information without background construction. Next, closed-form matting is used with the automatically generated trimaps to yield the alpha mattes and the foreground objects. Experimental results show that the proposed method has good performance in video object segmentation with opacity estimate.
Visual Analysis of Dimensionality Reduction in an Interactive Virtual Environment for Exploring Bat Flight Kinematics

We present an experiment to study two approaches for modeling complex skeletal motion of a bat in flight. Both the domain-enhancement approach and the data-fidelity approach use proper orthogonal decomposition (POD) to study animal locomotion. The motion was displayed in a fishtank virtual environment (VE) with a threedimensional user interface (3D UI) that supports flight comparison. The UI design was evaluated by biologists and engineering scientists, who explored the linear combinations of individual components described by POD and subsequently uncovered and verified patterns in animal locomotion using the two approaches. Our experimental results suggest that displaying experimental kinematics data in an interactive 3D visualization system gave the scientists an intuitive biological interpretation of biomechanical patterns of animal flight. In particular, feedback from experts who compared this environment with traditional two-dimensional (2D) graphs stressed the advantage of seeing inherently 3D data in a VE, letting them concentrate more readily on particular aspects of data analyses. Subsequently, they were able to notice new motion patterns as well as differences and similarities in flight behaviors. Comparison of the two modeling methods shows similarities in the types of motions presented.
QProbe: locating the bottleneck in cellular communication

Mobile communication is often frustratingly slow. When a user encounters poor performance, and perhaps even "confirms" the same by running a speed test, the tendency is to ascribe blame to the user's last-mile provider. However, as we argue in this paper, a more nuanced approach is needed to identify the location of the bottleneck responsible for the poor performance. Specifically, we focus on the question of whether the bottleneck lies in the cellular last hop (3G or LTE link) or elsewhere in the WAN path. We present QProbe, a tool that takes advantage of the proportional fair (PF) scheduler employed in cellular networks to determine whether queuing is happening at the cellular link. After validating QProbe through simulations and controlled experiments, we present our findings from a measurement study conducted over a 2 month period involving over 600 real-world users across 51 operator networks in 33 countries. We find that, for example, the cellular last-hop link is the bottleneck in 68.9% and 25.7% of the total bottleneck cases for 3G and LTE clients, respectively, suggesting that there is a significant fraction of cases where the poor performance experienced by the user is due to the WAN and could potentially be routed around. Moreover, we show that QProbe detects the bottleneck link location with greater than 85% accuracy for both 3G and LTE clients in our measurement study.