Miracle-dz/UniFAR-FTUs huggingface dataset:
Utilizando um cluster virtual com Hadoop como uma ferramenta para exploração de big data em processamento de imagens digitais

The amount of available remote sensing (RS) data is increasing at an extremely rapid pace due to recent advances in Earth observation technologies. This scenario leads to new challenges related to the ability to handle huge volumes of data with respect to computational techniques and resources. In this sense, RS data processing can be considered a big data problem, and in this context cloud computing is a trend since it offers a powerful infrastructure to perform large-scale computing, which is usually available in a pay-as-you-go model, and alleviates users of the need to acquire and maintain a complex computing infrastructure. Although prices currently practiced by cloud infrastructure providers are reasonably low, the development and testing of cloudbased platforms is a long work, which may become unfeasible considering the total costs involved. This work describes a solution to the problem of the costs involved in the development of methods based on cloud computing, in particular for RS data processing tools based on the Hadoop framework. Such a solution is based on the creation of a configurable virtual cluster on a single physical machine, installed with the software components required to run a distributed application. The virtual infrastructure provided by the solution was used for the development and testing of extensions of a recently proposed architecture for the distributed classification of RS data. To validate the extensions, classification experiments were carried out on hyperspectral images acquired with the ROSIS sensor, covering the University of Pavia in Italy. Palavras-chave: computação em nuvem; Hadoop; cluster; big-data.
Arthroscopic Injection of Platelet Rich Plasma with subchondral drilling in Cartilage Defects of the knee 1

Objective: The aim of our study was to analyse the clinical outcome after the treatment of focal cartilage defects in non-degenerative and degenerative knees with drilling augmented by injection with platelet rich plasma Methods: Twenty patients (18 men and 2 women) underwent drilling of cartilage defects of the knee and augmented by injection with platelet rich plasma concentrate. The mean age was 40 years range (26-55 years). All patients had focal cartilage defects on a load-bearing surface of the knee that extend down to the subchondral bone but not penetrating through it. Results: At 1-year follow-up, the KOOS showed clinically meaningful and significant (P<0.05) improvement compared to baseline Conclusion: platelet rich plasma is a safe, autologous, easy to prepare and to use and relative low cost procedure to deliver growth factors for cartilage healing and regeneration. Although the number of cases in my study was small and the follow up time was short, the preliminary results were promising. [Mohamed Gamal and Nihal Salah El-Deen. Arthroscopic Injection of Platelet Rich Plasma with subchondral drilling in Cartilage Defects of the knee. Life Sci J 2014;11(5):156-164]. (ISSN:1097-8135). http://www.lifesciencesite. com. 21
Glactomannan Index as a Rapid Diagnostic Tool for Invasive Pulmonary Aspergillosis in Patients with Chronic Lung Diseases

Invasive aspergillosis has increased considerably in recent years; this serious infection was primarily described in severely immunocompromised patients and patients with moderate levels of immune suppression. We conducted this study on 85 patients admitted to the chest department and chest ICU with severe exacerbations of chronic lung diseases in the period from April 2018 to April 2019. We collected tracheal aspirates BAL fluid and blood samples for isolation of Aspergillus spp. by convectional culture and assay of galactomannan level in these samples using ELISA. Aspergillus spp. was isolated from (14.3%) of tracheobroncheal aspirate samples, (11%) BAL samples and (2.4%) blood samples. Aspergillus fumigatus represented (70%) of isolates while Aspergillus niger represented (25%). Galactomannan antigen was positively detected in (9.4%) of serum samples, (22%) of tracheobronchial aspirates, and in (22.2%) bronchoalveoalar lavage fluid samples. The sensitivity (52%) and specificity (48%) of culture were much lower than the sensitivity and specificity of galactomannan detection (92%) and (85%) respectively. proven IA patient category represented (2.4%), while Probable IA represented (22.4%), and possible IA represented (22.2%). invasive aspergillosis could be a cause of exacerbation in patients with chronic chest diseases and a cause of their unresponsiveness to relevant treatment. Galactomannan antigen detection is a rapid sensitive diagnostic test of IA in those patients that helps the clinicians to rapidly diagnose IA and start antifungal therapy. K e y w o r d s
Programmable 5 G Avionic Networks

On the verge of next generation 5G networks, techniques such as network slicing and edge computing are proposed to further enhance network capabilities by enabling programmability and increasing flexibility. In the Radio Access Network (RAN) side the network slicing is a relatively new concept. Thus, there remain open issues related to the stochastic nature of the wireless channel and scarce wireless resources. Additionally, future multi-tenant systems are envisioned to allow Over-the-top (OTT) service providers and vertical industries to exploit a common network infrastructure for providing their services. In this paper, we identify some of the open issues regarding network slicing in RAN. Moreover considering an aircraft scenario as a 5G use case, we introduce a potential architecture which enables programmability and virtualization by means of Software-Defined Networking (SDN).
Specification of DNS over Dedicated QUIC Connections

This document describes the use of QUIC to provide transport privacy for DNS. The encryption provided by QUIC has similar properties to that provided by TLS, while QUIC transport eliminates the head-of- line blocking issues inherent with TCP and provides more efficient error corrections than UDP. DNS over QUIC (DNS/QUIC) has privacy properties similar to DNS over TLS specified in RFC7858, and performance similar to classic DNS over UDP.
’ s report Title : Neuromuscular exercise reduces low back pain intensity and improves physical functioning in nursing duties among female healthcare workers ; secondary analysis of a randomised controlled trial Version : 1 Date : 20 May 2019

References 20-24 in the manuscript refer to deficiencies in movement or postural control among people with LBP, and yes, they are based on cross-sectional data. Also references 25-28, which discuss associations between low physical fitness and LBP are based on cross-sectional data. We don't understand, how a reader gets an impression that we present them as longitudinal data. And finally, in the section where we discuss the treatment strategy for neuromuscular exercise (NME), our references are 2 Cochrane reviews, 1 systematic review and 3 RCT studies. Sorry, we don't understand the reviewer's argument. Could the Reviewer 1 specify more exactly, which section of the Background should be revised with different references?
Aalborg Universitet Empirical Study of Near Ground Propagation in Forest Terrain for Internet-of-Things type Device-to-Device Communication

This paper presents continuous-wave power measurements conducted in forest terrain with a focus on path-loss in a device-to-device (D2D) communication scenario. The measurements are performed at 917.5 MHz with measurement ranges extending to more than 2.5 km, using a purpose-developed measurement system with a dynamic range of 180 dB. The impact of different antenna heights has been investigated by placing antennas at 1.5-, 2.5-, and 3.5-m elevation over the terrain. The measurements show that the antenna elevation in the given scenario has no significant impact on the received power. The measurements also show that the dominant path of propagation is through the foliage for the first approximately 1000 m, resulting in foliage excess loss being the dominant loss mechanism in this region. After approximately 1000 m, the measured received power tends to follow the fourth-power law, indicating that the dominant loss mechanism in this region is the distance-dependent path-loss. Themeasurement results have been compared to models proposed in the literature based on empirical data, as well as models proposed by ITU and COST. The comparison shows that only two models predicted the limit in the foliage excess loss in the measurement data. By applying these excess loss models in combination with path-loss models, it is possible to model the measured total path-loss with a root-mean-square error of less than 10 dB. This is achieved by either applying a model proposed by Tewari or a combination between the two-ray path-loss model and the ITU-R P.2108 clutter loss model. INDEX TERMS Radio propagation, path-loss, excess loss, clutter loss, vegetation, foliage, forest, deviceto-device (D2D), Internet-of-Things (IoT), narrow band IoT (NB-IoT), near ground propagation.
On the Quaternary reptilian fauna of Bashkortostan ( South Urals , Russia )

The history of the Quaternary reptilian fauna of Bashkortostan (South Urals, Russia) is described and the development of climate, landscapes and vegetation are briefly reviewed. Five late Quaternary fossil reptile species {Lacerta agilis, Anguis fragilis, Lacerta vivipara, Natrix natrix, Vipera berus) had been identified for the region. The modern herpetofauna of the Urals started to form approximately in the Late Pliocene. In the South Urals the complete present day herpetofauna had established in the Middle Holocene due to reptiles dispersion from glacial réfugia. The Ural Mountains as well as anthropogenic factors had little influence on the evolutionary history of the recent reptile fauna in the region.
ADC Gain Calibration — Extending the ADC Input Range in MSC 12 xx Devices

The gain parameter plays an important role in analog-to-digital (A/D) conversion, especially in the high-resolution delta-sigma (∆Σ) A/D converter (ADC) implemented in the MSC1210, 1211 and 1212 devices. This application report discusses the following points: a) Methods of ADC gain calibration (GC) b) Adjusting the ADC gain c) Extending the ADC input range This article also applies to the ADS1216, ADS1217 and ADS1218 devices.
Hamstring myoelectrical activity during three different kettlebell swing exercises.

Kettlebell exercises have become an increasingly popular form of resistance training and component of lower body rehabilitative training programs; despite a lack of scientific literature illustrating internal mechanisms and effectiveness of these approaches. Participants (n=14) performed three different styles of kettlebell swings (hip hinge, squat and double knee extension) and were assessed for medial hamstrings (MH) and biceps femoris (BF) myoelectrical activity via surface electromyography (sEMG). Bipolar pre-gelled Ag/AgCl surface electromyography (sEMG) electrodes (10mm diameter, 20mm inter-electrode distance) were placed on the participant's dominant limb after correct skin preparation.There was a main effect for swing type (p = 0.004), where the hip hinge swing elicited a greater overall MH and BF sEMG in comparison to the squat swing (mean difference = 3.92; 95% CI = 1.53 to 6.32; p = 0.002) and the double knee extension swing (mean difference = 5.32; 95% CI = 0.80 to 9.83; p = 0.020). Across all swing types, normalised percentage of MH sEMG was significantly higher compared to the BF (mean difference = 9.93; 95% CI = 1.67 to 18.19; p = 0.022). The hip hinge kettlebell swing produced the greatest amount of hamstring sEMG for the three styles of kettlebell swings assessed. These findings have implications for the application of kettlebell swing exercises in strength and conditioning, injury prevention and rehabilitation programs.
Ti 6 Al 4 V / Wollastonite Composite Through Powder Injection Molding Process For Bone Implant Application

Titanium and its alloy (Ti6Al4V) have been successfully used widely since the year of 1940 for medical applications, aerospace and chemical industries (Callister and Rethwisch, 2014). The advantages of using titanium in medical applications are biocompatibility and high mechanical properties (Ye et al., 2009). However, Ti6Al4V is a bio-inert materials which cannot supplies biological elements for fixation to the surrounding tissues after the implantation process (Nakahira and Eguchi, 2001). In order to improve the bioactivity of alloy, bioceramic was added. Wollastonite (W) is a bioceramic materials have recently received an interest because of its bioactivity properties. This bioceramic materials have an ability to stimulate body tissues for repairing process and bone ingrowth(Fiocco et al., 2015). The wollastonite contains of CaO and SiO3 were found to bond to living bond and have bioactive properties (De La Casa-Lillo et al., 2011). The combination of both Ti6Al4V and W can have produced high mechanical properties and biocompatible which can be used in bone implant applications. Powder injection molding (PIM) is a combination from plastic injection and powder metallurgy process. This PIM can produces high mechanical properties product, high density, complex shapes (Huang et al., 2003). This process consists of four main steps which are mixing, injection molding, debinding and sintering. There is no previous report using PIM process to produce Ti6Al4V/W composite. The most common process used is coating (Li et al., 2015; Sharma et al., 2009). In this study, palm stearin (PS) were used and a based binder to produce a Ti6Al4V/W feedstock. Palm stearin has a good properties, low cost and wide availability. PS is a fraction of palm oil which have the decomposition temperature of 200-500 °C (Foudzi et al., 2013). This temperature is higher than injection temperature and below the sintering temperature of Ti6Al4V/W composite which make it suitable use as a binder. PS in binder system will act as surfactant and lubricant to facilitate the feedstock to inject and removed from the mold (Arifin et al., 2015; Omar et al., 2012). The main objective in this study is to analyze the rheological properties of the Ti6Al4V/W feedstock and to produce the sintered part with no defects.
Improving Soil Health to Suppress Soil Borne Diseases of Ginger

To successfully enhance soil suppressiveness, it is necessary to understand how farming practices can improve key indicators of soil health as they relate to increased biodiversity of the soil ecosystem. These indicators include measures of nematode communities in the soil, microbial enzyme analysis, as well as physical and chemical soil components that were correlated with disease suppression and high yield.
9 Squares: Framing Data Privacy Issues

In order to frame discussions on data privacy in varied contexts, this paper introduces a categorisation of personal data along two dimensions. Each of the nine resulting categories offers a significantly different flavour of issues in data privacy. Some issues can also be perceived as a tension along a boundary between different categories. The first dimension is data ownership: who holds or publishes the data. The three possibilities are “me”, i.e. the data subject; “us”, where the data subject is part of a community; and “them”, where the data subject is indeed a subject only. The middle category contains social networks as the most interesting instance. The amount of control for the data subject moves from complete control in the “me” category to very little at all in the “them” square – but the other dimension also plays a role in that. The second dimension has three possibilities, too, focusing on the type of personal data recorded: “attributes” are what would traditionally be found in databases, and what one might think of first for “data protection”. The second type of data is “stories”, which is personal data (explicitly) produced by the data subjects, such as emails, pictures, and social network posts. The final type is “behaviours”, which is (implicitly) generated personal data, such as locations and browsing histories. The data subject has very little control over this data, even in the “us” category. This lack of control, which is closely related to the business models of the “us” category, is likely the major data privacy problem of our time.
Factors Associated with Cost Variations in Patients with Hip Fracture : Mini-Review

Introduction: Osteoporotic hip fractures are important health problems in geriatric patients. Several studies have evaluated the impact of hospitalization for hip fracture on the utilization of health resources and costs for sanitary services with a significant increase of them in the last years. The cost is not only related with hospitalization but also with long term complications, functional disability, rehabilitation and drug consumption. The objective of this study is to describe the new knowledge in the factors associated with the increase in the costs in patients with hip fracture. Methods: The present review was carried out by conducting an electronic search in OVID (Medline and Embase) on hip fracture, its costs and the factors associated with them. The search was limited to publications in the last 5 years and in English, Portuguese and Spanish. A total of 86 articles were obtained, of which 27 were finally selected. Results: Papers can be grouped into those that find or not a relationship between cost variations and their associated factors. The factors most frequently associated with cost increases are the patient's previous functional status and comorbidity, the location and type of fracture, the occurrence of adverse events (infection or delirium) and the waiting time until surgery. On the other hand, the implantation of multidisciplinary teams (orthogeriatric units) reduces the costs of care in these patients. Conclusion: The available evidence suggests that certain surgical interventions may be costeffective, and although the Health Economic Evaluation (HEE) for patients with hip fractures are increasing in publication in recent years, most of these studies do not adopt a social perspective and the key aspects of its methodology are deficient.
Software Developers Sentiment Analysis: A Systematic Mapping

Sentiment Analysis is a research area that has been also focused on software developers in the latest years. However, there is a need to map the way in which this area is structured. The goal of this article is to answer research questions through a systematic mapping in order to be aware of the existing works in this area. As a result, a growth curve related to the number of publications has been perceived as well as the association between the emotional condition of a developer and his/her performance in software projects.
Detection of Marine Animals in a New Underwater Dataset with Varying Visibility

The increasing demand for marine monitoring calls for robust automated systems to support researchers in gathering information from marine ecosystems. This includes computer vision based marine organism detection and species classiﬁcation systems. Current state-of-the-art marine vision systems are based on CNNs, which in nature require a relatively large amount of varied training data. In this paper we present a new publicly available underwater dataset with annotated image sequences of ﬁsh, crabs, and starﬁsh captured in brackish water with varying visibility. The dataset is called the Brackish Dataset and it is the ﬁrst part of a planned long term monitoring of the marine species visiting the strait where the cameras are permanently mounted. To the best of our knowledge, this is the ﬁrst annotated underwater image dataset captured in temperate brackish waters. In order to obtain a baseline performance for future reference, the YOLOv2 and YOLOv3 CNNs were ﬁne-tuned and tested on the Brackish Dataset.
An Image Comparing-based GUI Software Testing Automation System

This paper proposes an automated GUI (Graphical User Interface) testing method to support regression testing when a company requests new functionality additions or program changes during the development phase. In this paper, we propose an automated GUI testing method based on two processes. An event-driven testing method can test the target program directly. A capture and replay testing method can repeat recordings of the tester's actions. GUI verification is image comparing-based. To demonstrate the advantages of our proposed method, we implemented a prototype system based on C#.
Parallel State of the Art Algorithms for Frequent Itemset Mining – A Concise Descriptive Summary of Scalable Approaches

: Frequent Item set Mining is a Data Mining task that has attracted the researchers’ interests in a way that very few other tasks have done. This concept is generally used in Decision Support problems. Many serial and parallel algorithms have been developed for Frequent Item set Mining. In this paper, we have focused on the developments of parallel algorithms in this area so far. We start with an Apriori-based parallel algorithm that focuses on minimizing the communication overhead even if, in parallel, it requires redundant duplicate computations. Then we discuss an algorithm that utilizes the system memory in amore effective manner. Then we give an account of the algorithm that reduces the synchronization between the processors, segments the database, and integrates load balancing. Then we describe an algorithm that partitions the Candidate Item sets intelligently. Finally, we give an account of an algorithm that combines two famous algorithms to leverage their cumulative advantage. While keeping the original ideas intact, we have avoided the cumbersome notations to keep it easily intelligible.
SEQUENCE-TO-SEQUENCE KOREAN PHONEME-TO-TEXT CONVERSION FOR KOREAN SPEECH RECOGNITION

In this paper, phoneme-to-text conversion based on sequence-to-sequence learning for speech recognition of Korean standard languages is proposed. To model the difference of Korean phonological change phenomenon, an RNN-LSTM network is used. 22.28% character error rate was achieved in an experiment with 2,200 Korean standard language sentences.
Integrating Connectionist and Symbolic Computation for the Theory of Language ; CU-CS-628-92

In this article, we present some of the fundamental principles of a research program - the Sub-Symbolic Paradigm (SSP) - based on a particular approach to unifying connectionist and symbolic computation. SSP has been developed primarily for the study of higher cognitive domains, and in this article we focus on SSP research on language and grammar. The SSP principles integrating connectionist and symbolic computation are developed by establishing mathematical relationships between two levels of description of a single computational system. Applied to natural language, these computational principles entail that a central organizing principle of grammar is optimality. This constitutes a novel framework for formal grammar which emerges from the connectionist computational substrate