Miracle-dz/UniFAR-FTUs huggingface dataset:
Action Recognition using Deep Convolutional Neural Networks and Compressed Spatio-Temporal Pose Encodings

Convolutional neural networks have recently shown proficiency atrecognizing actions in RGB video. Existing models are gener-ally very deep, requiring large amounts of data to train effectively.Moreover, they rely mainly on global appearance and could poten-tially underperform in single-environment applications, such as asports event. To overcome these limitations, we propose to short-cut spatial learning by leveraging the activations within a humanpose estimation network. The proposed framework integrates ahuman pose estimation network with a convolutional classifier viacompressed encodings of pose activations. When evaluated onUTD-MHAD, a 27-class multimodal dataset, the pose-based RGBaction recognition model achieves a classification accuracy of 98.4%in a subject-specific experiment and outperforms a baseline methodthat fuses depth and inertial sensor data.
Informatique, numérique et multimédia : Quelques mythes récurrents en didactique des langues

Cet article se propose d'examiner tout d'abord les relations entre apprentissage et moyens multimedias a travers une vision historique succincte de l'evolution des technologies de l'information et de la communication puis pose de maniere indirecte la question de savoir si le multimedia change d'une maniere fondamentale les possibilites d'enseigner et d'apprendre une langue vivante. Au-dela des aspects techniques, scientifiques et didactiques, sont evoques au fil du texte des problemes tres divers, d'ordre physiologique, neurologique et cognitif par exemple ou encore juridique, tous en relation avec la question centrale du multimedia applique a l'enseignement/apprentissage francais langue etrangere.
Towards unified dataset for Modeling and Monitoring of Computer Assisted Medical Interventions

M2CAMI is a working group dedicated to Modeling and Monitoring of Computer Assisted Medical Interventions within the CAMI Labex. It aims at unifying data acquired from different surgical trainers and procedures for collaborative research. In this paper , we propose a generic structure for multi-modal dataset that allows faster development and easier processing. With such formalization, our objective is to go beyond the state of the art by sharing various types of data between international institutions and merge methodological approaches for better detection and understanding of surgical workflows.
Generating, optimizing, and scheduling a compiler level representation of stream parallelism

Stream parallelism is often cited as a powerful programming model for expressing parallel computation for multi-core and heterogeneous computers. It allows programmers to concisely describe the concurrency and communication requirements found in a program and it allows compilers and runtime systems to easily generate efficient code targeting parallel hardware. This type of stream parallelism is often restricted to use the Synchronous Dataflow (SDF) model and implemented using static compilation and scheduling techniques. While powerful, SDF and the associated static methods have real limitations when applied to general purpose programing on general purpose hardware. To increase generality, we can define stream parallelism as a graph of processes communicating with one another over unidirectional data channels. Although dynamic scheduling techniques have been developed for this more general model, the powerful compiler transformations that are available under the SDF model no longer apply. This is made worse by the fact that general purpose models are typically implemented as software frameworks on top of high-level general purpose languages. The Stream and Kernel Intermediate Representation (SKIR) is a compiler level representation of stream parallelism for general purpose languages. A SKIR compiler is able to recognize and take advantage of SDF style parallelism while allowing more general programs. This thesis presents the SKIR program representation and describes how it can be used as compiler target for several different high level languages. We show a dynamic scheduling mechanism for SKIR programs based on the concepts of coroutines and task stealing. We also propose code optimizations to reduce runtime overhead associated with dynamic scheduling. Such techniques are not possible in a high-level software framework and provide performance that meets or exceeds the performance of existing systems while providing greater generality and portability than static methods.
2-D DWT/IDWT processor design for image coding

In this paper, a VLSI architecture for forward/inverse 2-D discrete wavelet transform is presented. This design described and verified by the VHDL is synthesized by the Synopsys-synthesizer. The synthesis results show that the gate-level circuit contains 7140 gates and the throughput can reach 4 M pixel/s when LSI 10 K CMOS process technology is used.
Control of longitudinal dynamics of the aircraft with elevator failure

In this paper, we present the design of a controller for the longitudinal dynamics of an aircraft when the primary control, that of the elevator is stuck. It is shown that control input on thrust alone can be used to regulate the flight path angle while maintaining system stability. Finally, we examine the effect of the magnitude of failure and time used for detection and identification in the presence of system nonlinearities.
Extensions How to Handle Custom File Formats

Sources A source abstracts input locations and provides uniform methods for access. Each source must provide implementations for following interface functions: close() closes the source and returns it, eoi() returns TRUE if the end of input of the source is reached, getElem() fetches the element at the current position, length() gives the number of elements, open() opens the source and returns it, reader() returns a default reader for processing elements, pGetElem() (optional) retrieves all elements in parallel at once, and stepNext() increases the position in the source to the next element. Retrieved elements must be encapsulated in a list with the named components content holding the document and uri pointing to the origin of the document (e.g., a file path or a URL; NULL if not applicable or unavailable). Custom sources are required to inherit from the virtual base class Source and typically do so by extending the functionality provided by the simple reference implementation SimpleSource. E.g., a simple source which accepts an R vector as input could be defined as > VecSource getElem.VecSource pGetElem.VecSource <+ function(x) lapply(x$content, function(y) list(content = y, uri = NULL))
Security and Privacy-Preserving Challenges of e-Health Solutions in Cloud Computing

A systematic and comprehensive review of security and privacy-preserving challenges in e-health solutions indicates various privacy preserving approaches to ensure privacy and security of electronic health records (EHRs) in the cloud. This paper highlights the research challenges and directions concerning cyber security to build a comprehensive security model for EHR. We carry an intensive study in the IEEE, Science Direct, Google Scholar, PubMed, and ACM for papers on EHR approach published between 2000 and 2018 and summarized them in terms of the architecture types as well as evaluation strategies. We surveyed, investigated, and reviewed various aspects of several articles and identified the following tasks: 1) EHR security and privacy; 2) security and privacy requirements of e-health data in the cloud; 3) EHR cloud architecture, and; 4) diverse EHR cryptographic and non-cryptographic approaches. We also discuss some crucial issues and the ample opportunities for advanced research related to security and privacy of EHRs. Since big data provide a great mine of information and knowledge in e-Health applications, serious privacy and security challenges that require immediate attention exist. Studies must focus on efficient comprehensive security mechanisms for EHR and also explore techniques to maintain the integrity and confidentiality of patients’ information.
Higher bifurcation of brachial artery with superficial course of radial artery in forearm: A study report -

Background: Normally brachial artery divides into its terminal branches namely radial and ulnar arteries at the neck of the radius in the cubital fossa and these are the main arteries responsible for the irrigation of the forearm. In the present study we found higher division of brachial artery into radial and ulnar arteries with superficial course of radial artery unilaterally during routine dissection for MBBS student. Accurate information regarding these variations is important during vascular and re-constructive surgery and also in evaluation of angiographic images. Aims & Objective: The altered anatomy of the blood vessels may make them more vulnerable to trauma and to haemorrhage but at the same time more accessible for cannulation. Our aim is to report the occurrence of the higher division of brachial artery with superficial course of radial artery in a sample of western Indian population. Material and Methods: A prospective evaluation was conducted on cadavers at various Medical Colleges, in Gujarat. The upper limbs of cadavers were dissected and observed for any variation in the course of brachial artery and its terminal branches radial and ulnar arteries. Results: A total of 96 arms of 48 subjects were studied. In three upper limbs we found higher division of brachial artery with superficial course of radial artery. The variant was present unilaterally in left upper limb of three males (6.25%, n = 48). Conclusion: Anomalies in origin and course of principal arteries have practical importance for orthopaedicians, radiologists and vascular surgeons. Awareness of incidence of this variation is necessary to avoid complication during pre-operative procedure or surgeries in the upper limb.
Query language for protein molecular structures

Secondary structure representation of proteins provides important information regarding protein general construction and shape. This representation is often used in protein similarity searching. Since existing commercial database management systems do not offer integrated exploration methods for biological data e.g. at the level of the SQL language, the structural similarity searching is usually performed by external tools. In the paper, we present our newly developed PSS-SQL language, which allows searching the database in order to identify proteins having secondary structure similar to the structure specified by the user in a PSS-SQL query. Therefore, we provide a simple and declarative language for protein structure similarity searching.
Distress with Breathing in People with Lung Cancer: A Systematic Review

While the prevalence of shortness of breath has been reported to be as frequent as pain in people with lung cancer, less attention has been paid to the distress associated with this symptom (dyspnea). This systematic undertaken to investigate how this symptom has been assessed and whether breathlessness in people with lung cancer is distressing. Using a pre-determined search strategy and inclusion criteria, thirty in this review. A variety of outcome measures have been used to assess the experience of dyspnea with domains including intensity, distress, quality of life, qualitative sensation and prevalence. The distress associated with breathl variable, with some studies reporting it to be the most distressing sensation, while others report lower levels of distress. the studies reflect a high prevalence of dyspnea in lung cancer patients, with subjects experiencing intensity and interference with activities of daily living. Overall, the findings of this review indicate that dyspnea was a symptom experienced by people with lung cancer with varying degrees of intensity and unpleasantn pain are both distressing sensations for people with lung cancer, this has potential implications for both clinical and acade areas, with regards to both management strategies and further research. BACKGROUND There are currently in excess of 1.3 million people worldwide affected by lung cancer. cancer death in the United States, with an estimated 565,650 people dying from lung cancers in 2008. lung cancer is related to active cigarette smoking, with the remaining ten percent mainly caused by passive smoking and exposure to medical radiation and environmental factors such asbestos and silica symptoms which vary between individuals, resulting in a range of symptoms which people might find distressing. several common signs and symptoms associated with lung cancer, which can be classified as a result of the primary tumour, intra-thoracic spread, distant metastases, paraneoplastic syndromes or they may be non signs and symptoms relating to a primary lung tumour, and therefore corresponding to early stage disease, are: cough, dyspnea (distress with breathing or breathing discomfort) haemoptysis (coughing up blood) and chest discomfort. Non such as weight-loss or fatigue are also common in the initial stages of lung cancer. Pain and dyspnea have been reported to be common distressing symptoms in people that while 6 to 25% of people with lung cancer will experience bone pain and 20 between 3 and 60% will experience dyspnea.3 While the incidence of dyspnea in people with be at least as frequent as pain, its presence is underappreciated and potentially not scrutinized or investigated to the same extent.4 For example, a preliminary search of the database Scopus reveals Vol. 7 No. 4 ISSN 1540-580X Lung Cancer: A Systematic Review , B. Physiotherapy (Hons)1 Marie Williams, PhD2
Performance studies of GooFit while estimating the global statistical significance of a new physical signal

Graphical Processing Units (GPUs) represent one of the most sophisticated and versatile parallel computing architectures that are currently entering the High Energy Physics field. GooFit is an open source tool interfacing ROOT/RooFit to the CUDA platform on nVidia GPUs that acts as an interface between the MINUIT minimization algorithm and a parallel processor which allows a Probability Density Function to be evaluated in parallel. In order to test the computing capabilities of GPUs with respect to traditional CPU cores, a high-statistics pseudo-experiment method has been implemented both in ROOT/RooFit and GooFit frameworks with the purpose of estimating the local statistical significance of an already known signal. The optimized GooFit application running on GPUs provides striking speed-up performances with respect to the RooFit application parallelized on multiple CPU workers by means of the PROOF-Lite tool. This method is extended to situations when, dealing with an unexpected signal, a global significance must be estimated. The Look-Elsewhere-Effect is taken into account by means of a scanning technique in order to consider - within the same background-only fluctuation and everywhere in the relevant mass spectrum - any fluctuating peaking behavior with respect to the background model. The execution time of the fitting procedure for each MC toy can considerably increase, thus the RooFit-based approach gets so time-expensive that may become unreliable while GooFit is an excellent tool to carry reliably out this p-value estimation method.
Morphosyntactic disambiguation and shallow parsing in computational processing of Basque

Our goal in this article is to show the improvements in the computational treatment of Basque, and more specifically, in the areas of morphosyntactic disambiguation and shallow parsing. The improvements presented in this paper include the following: analyses of previously identified ambiguities in morphosyntax and in syntactic functions, their disambiguation, and finally, an outline of possible steps in terms ofshallow parsing based on the results provided by the disambiguation process. The work is part of the current research within the field of Natural Language Processing (NLP) in Basque, and more specifically, part of the work that is being done within the IXA group.
Undercounting File Downloads from Institutional Repositories

ABSTRACT A primary impact metric for institutional repositories (IR) is the number of file downloads, which are commonly measured through third-party Web analytics software. Google Analytics, a free service used by most academic libraries, relies on HTML page tagging to log visitor activity on Google's servers. However, Web aggregators such as Google Scholar link directly to high value content (usually PDF files), bypassing the HTML page and failing to register these direct access events. This article presents evidence of a study of four institutions demonstrating that the majority of IR activity is not counted by page tagging Web analytics software, and proposes a practical solution for significantly improving the reporting relevancy and accuracy of IR performance metrics using Google Analytics.
Chance of chaos? Discussion

In my survey of mathematical statistics in 1940 the concept of chance was assigned a central role. Some remarks are now made on the comparatively new concept of chaos (which can arise in non-linear systems even when «deterministic»), first of all in relation to two papers in epidemiology by Schaffer (1985) and Olsen et al. (1988), and then more generally on the recognition and properties of chaos and its relation with chance
Visual Techniques for Exploring Databases

u Explorative Analysis • starting point: data without hypotheses about the data • process: interactive, usually undirected search for structures, trends, etc. • result: visualization of the data, which provides hypotheses about the data u Confirmative Analysis • starting point: hypotheses about the data • process: goal-oriented examination of the hypotheses • result: visualization of the data, which allows the confirmation or rejection of the hypotheses u Presentation • starting point: facts to be presented are fixed a priori • process: choice of an appropriate presentation technique • result: high-quality visualization of the data presenting the facts Definition Database Exploration is the process of searching and analyzing databases to find implicit but potentially useful information. Database Exploration is the process of finding a • subset D' of the database D and • hypotheses H U (D', C) that a user U considers useful in an application context C.
Risk score propagation algorithms for domain-domain networks

Organizational computer networks are at risk of being compromised by making connections to malicious domains, which can lead to sensitive information being stolen by cyber criminals. It can therefore be helpful to have an estimation of the risk level of domains, expressed as a risk score, before connections are made. To this end, we explore network science methods to construct domain-domain networks from passive DNS data. We propose three score computation algorithms that can calculate risk scores for domains. Two of our proposed algorithms (LISC and NORMLISC) are capable of modelling complex interactions between nodes in the network. However, these algorithms have the unwelcome properties that lower risk scores can be computed for a node than for its neighbours which have higher scores in the initial state (i.e., ‘swapping’) and that the position of the node in the network is not taken into account for score computation. In contrast, our third algorithm (MAXDIF) has fewer free parameters, takes the position of nodes in the network into account and does not suffer from ‘swapping’, but gives no freedom in modelling complex interactions between nodes. All in all, computing risk scores is now possible using our proposed algorithms.
The Effect of Nonlinear Scleral Properties on Optic Nerve Head Biomechanics

Glaucoma is a group of potentially blinding ocular diseases caused by gradual and progressive damage to the optic nerve, and is usually associated with elevated intraocular pressure (IOP) [1]. This damage occurs at the optic nerve head (ONH), the site where the optic nerve axons leave the posterior eye. IOP-related biomechanical factors are hypothesized to play a key role in the pathogenesis of glaucomatous damage [2]. Copyright © 2007 by ASME
On-chip error correcting techniques for new-generation flash memories

In new-generation flash memories, issues such as disturbs and data retention become more and more critical as a consequence of reduced cell size and decreased oxide thickness. Furthermore, the progressive increase in the cell count within a single die tends to decrease device reliability. In particular, reliability issues turn out to be more critical in multilevel (ML) flash memories, due to the reduced spacing between adjacent programmed levels. It is therefore deemed that the use of on-chip error correction codes (ECCs) will gain widespread acceptance in large-capacity flash memories. ECCs for flash memories must have very fast and compact encoding/decoding circuitry so as to have a minimum impact on memory access time. The area penalty due to check cells must also be minimized. Moreover, specific codes must be developed for ML storage. This paper presents error control coding techniques and schemes for new-generation flash memories, focusing on ML devices. The basic concepts of error control coding are reviewed, and the on-chip ECC design procedure is analyzed. Dedicated codes such as polyvalent ECCs, able to correct data stored in ML memories working at a variable number of bits per cell, and bit-layer organized ECCs are described.
Management of Periprosthetic Joint Infections (PJIs)

Management of Periprosthetic Joint Infections (PJIs): Management of PJIs discusses periprosthetic joint infection (PJI), a fairly rare occurrence that is nonetheless one of the most serious complications in joint replacement surgery. Intricate interactions between the pathogen, the host, and the implant can result in PJIs which are not only physically devastating for the patient, but also financially crippling for health authorities and insurance companies. Actions taken to minimize the risk of PJIs can be extremely challenging for the orthopaedic community. Consequently, new research, which is detailed in this comprehensive book, is being undertaken to minimize and manage these challenging infections. Provides essential background knowledge on the mechanisms and identification of PJIs Dedicated chapters focus on the complex, but vital eccentricities between PJIs in different areas of the body Contains contributions from a mixture of clinical and academic experts in the field, thus ensuring balanced coverage.
From the Inside Looking Out: Andragogically Buidling a Doctor of Andragogy Program

Developing and implementing a Doctor of Andragogy Program andragogically provides an opportunity to “think outside the box. ” It requires congruency between talking and action, and active involvement of the learners. With many successes in the first two years, a concern emerged over the lack of interest and attendance in the initiative. Using andragogy to investigate the concern, opportunities emerged for improvement.
The Sense of Hearing

Contents: Preface. Introduction. The Nature of Sound. Production, Propagation, and Processing. A Journey Through the Auditory System. Frequency Selectivity. Loudness and Intensity Coding. Pitch and Periodicity Coding. Hearing Over Time. Spatial Hearing. The Auditory Scene. Speech. Concluding Remarks.
Application of a fast real time recurrent learning algorithm to text-to-phoneme conversion

This paper attempts to perform text-to-phoneme conversion by using recurrent neural networks trained with the real time recurrent learning (RTRL) algorithm. As recurrent neural networks deal well with spatial temporal problems, they are proposed to tackle the problem of converting English text streams into their corresponding phonetic transcriptions. We found that, due to the high computational complexity, the original RTRL algorithm takes a long time to finish the learning. We propose a fast RTRL algorithm (FRTRL), with a lower computational complexity, to shorten the time consumed in the learning process.