Miracle-dz/UniFAR-FTUs huggingface dataset:
Resilient Self-Compressive Monitoring for Large-Scale Hosting Infrastructures

Large-scale hosting infrastructures have become the fundamental platforms for many real-world systems such as cloud computing infrastructures, enterprise data centers, and massive data processing systems. However, it is a challenging task to achieve both scalability and high precision while monitoring a large number of intranode and internode attributes (e.g., CPU usage, free memory, free disk, internode network delay). In this paper, we present the design and implementation of a Resilient self-Compressive Monitoring (RCM) system for large-scale hosting infrastructures. RCM achieves scalable distributed monitoring by performing online data compression to reduce remote data collection cost. RCM provides failure resilience to achieve robust monitoring for dynamic distributed systems where host and network failures are common. We have conducted extensive experiments using a set of real monitoring data from NCSU's virtual computing lab (VCL), PlanetLab, a Google cluster, and real Internet traffic matrices. The experimental results show that RCM can achieve up to 200 percent higher compression ratio and several orders of magnitude less overhead than the existing approaches.
Automatic acquisition of concepts from domain texts

Domain specific concept extraction is a key com- ponent in ontology construction for Semantic Web applications. Manual concept extraction is costly both in time and labor. In this paper, we present several heuristic methods for automatic concepts extraction from domain texts. These methods aim to improve the precision and recall over the word frequency-based techniques. Precision is improved by elimination of irrelevant terms using word sense information. Recall is enhanced by adding new concepts formed by composition of relevant words. Our methods are domain independent, and can be applied in fully automatic way to the concept extraction task. Experimental results on the electronic voting domain texts (from New York Times) are presented which show the promise of the proposed methods. Index Terms— Concept extraction, ontology engineering, text processing, WordNet, WordNet Senses.
Learning Texture Features for Enhancement and Segmentation of Historical Document Images

Many challenges and open issues related to the tremendous growth in digitizing collections of cultural heritage documents have been raised, such as information retrieval in digital libraries or analyzing page content of historical books. Recently, graphic/text segmentation in historical documents has posed specific challenges due to many particularities of historical document images (e.g. noise and degradation, presence of handwriting, overlapping layouts, great variability of page layout). To cope with those challenges, a method based on learning texture features for historical document image enhancement and segmentation is proposed in this article. The proposed method is based on using the simple linear iterative clustering (SLIC) superpixels, Gabor descriptors and support vector machines (SVM). It has been evaluated on 100 document images which have been selected from the databases of the competitions (i.e. historical document layout analysis and historical book recognition) in the context of ICDAR conference and HIP workshop (2011 and 2013). To demonstrate the enhancement and segmentation quality, the evaluation is based on manually labeled ground truth and shows the effectiveness of the proposed method through qualitative and numerical experiments. The proposed method provides interesting results on historical document images having various page layouts and different typographical and graphical properties.
THE GLOBAL LAND DATA ASSIMILATION SYSTEM

A Global Land Data Assimilation System (GLDAS) has been developed. Its purpose is to ingest satellite- and ground-based observational data products, using advanced land surface modeling and data assimilation techniques, in order to generate optimal fields of land surface states and fluxes. GLDAS is unique in that it is an uncoupled land surface modeling system that drives multiple models, integrates a huge quantity of observation-based data, runs globally at high resolution (0.25°), and produces results in near–real time (typically within 48 h of the present). GLDAS is also a test bed for innovative modeling and assimilation capabilities. A vegetation-based “tiling” approach is used to simulate subgrid-scale variability, with a 1-km global vegetation dataset as its basis. Soil and elevation parameters are based on high-resolution global datasets. Observation-based precipitation and downward radiation and output fields from the best available global coupled atmospheric data assimilation systems are employe.
Physical mapping and performance study of a multi-clock 3-Dimensional Network-on-Chip mesh

The physical performance of a 3-Dimensional Network-on-Chip (NoC) mesh architecture employing Through Silicon Vias (TSV) for vertical connectivity is investigated with a cycle-accurate RTL simulator. The physical latency and area impact of TSVs, switches, and the on-chip interconnect is evaluated to extract the maximum signaling speeds through the switches, horizontal and vertical network links. The relatively low parasitics of TSVs compared to the on-chip 2-D interconnect allow for higher signaling speeds between chip layers. The system-level impact on overall network performance as a result of clocking vertical packets at a higher rate through the TSV interconnect is simulated and reported.
FACE: Fast and Customizable Sorting Accelerator for Heterogeneous Many-core Systems

Performance improvements of a single-core processor relying on high clock rates reached the limit. Instead of a single-core processor, multi-core and many-core processors have been mainstream to accelerate applications by parallel processing. Year by year, the number of cores integrated in a single chip has been increased due to improvements of semiconductor integration technologies depending on Moore's Law. On the other hand, Moore's Law will be ended in the near future. This means that the approaches relying on the increase in the number of cores will be hopeless, thus we have to consider other effective ways. One of them is to design application specific hardware. Several research organizations have explored it and reported its remarkable findings. We focus on such an acceleration approach with dedicated hardware. As a case study with dedicated hardware, we present a sorting acceleration method. Sorting is an extremely important computation kernel that should be accelerated in a lot of fields, such as databases, image processing, data compression, etc. We propose a sorting accelerator combining Sorting Network and Merge Sorter Tree, and detail the design and implementation. Our proposed sorting accelerator is customizable, thus designers can implement a sorting accelerator composed of required hardware resources by means of tuning design parameters. Our experiments show that the proposed hardware achieves up to 10.06x sorting performance, compared with Intel Core i7-4770 operating at 3.4GHz, when sorting 256M 32-bits integer elements. In order to allow every designer to easily and freely use this accelerator, the RTL source code is released as an open-source hardware.
Modeling Nonlinear Evolution of Baryon Acoustic Oscillations: Convergence Regime of $N$-body Simulations and Analytic Models

We used a series of cosmological N-body simulations and various analytic models to study the evolution of the matter power spectrum in real space in a A cold dark matter universe. We compared the results of N-body simulations against three analytical model predictions; standard perturbation theory, renormalized perturbation theory, and a closure approximation. We included the effects from a finite simulation box size under comparison. We determined the values of the maximum wavenumbers, k(1%)(lim) and k(3%)(lim) below which the analytic models and the simulation results agree with accuracy to within 1 and 3 percent. We then provided a simple empirical function that describes the convergence regime determined by comparisons between our simulations and the analytical models. We found that if we use the Fourier modes within the convergence regime alone. the characteristic scale of baryon acoustic oscillations can be determined with an accuracy of 1% from future surveys with a volume of a few h(-3) Gpc(3) at z similar to 1 or z similar to 3 in the absence of any systematic distortion of the power spectrum.
Selective removal of copper from the artificial nickel electrolysis anolyte by a novel chelating resin: batch, column and mechanisms

Abstract The selective removal of copper from the artificial nickel electrolysis anolyte was presented with a novel N-octyl-2-aminomethylpyridine-funcionalized chelating resin (abbreviated as CP-AMPO) in this study. In the single system, the adsorption characters of the CP-AMPO resins for Cu2+ and Ni2+ were examined through pH of solution, concentration of metal ions, contact time and temperature. Through the experimental investigation, the isotherm adsorption behavior of Cu2+ fitted well with Langmuir isotherm, whereas the adsorption behavior of Ni2+ followed the Langmuir and the Freundlich isotherm. The kinetic adsorption parameters were proved to be in agreement with the pseudo-second kinetic model, the thermodynamics data demonstrated the adsorption behaviors of Cu2+ and Ni2+ were a spontaneous and endothermic process. Additionally, from the competitive adsorption in the binary systems, the separation factor of copper/nickel reached 2000, indicating higher selectivity for copper over nickel. Moreover, the residual concentration of copper was less than 3 mg/L at the beginning of 8 BV in the artificial nickel electrolysis anolyte after purification and the mass ratio of copper/nickel exceeded 15 in the saturated resins by the dynamic adsorption curves. The results could well satisfy the production requirement of the nickel electro-refining procedure. Therefore, the CP-AMPO resins could be used as the high-performance adsorbent to remove copper from the nickel electrolysis anolyte in the large-scale industry. Consequently, the extended study of the chelating resin on the mechanisms of selective adsorption for copper and nickel was assessed by X-ray photoelectron spectroscopy (XPS). Graphical Abstract
Revolution in the Cognitive Psychology of Development

The recent revolutionary changes in the cognitive psychology of development, touching upon the basic conceptions of psychology, are generalized in this article. The problem of theoretical changes connected with systemic evolutionary approach, dynamic nonlinear system theory, and connectionism, is discussed. The author analyses four basic theses of revolutionary changes: from sensory-motor infant to representative one; from the leading role of activity to the unity of perception and action; about the continuity of the subject formation, instead of axiom of subjectivity of the adult, mature person; about the continuance of genetic and environmental instead of social primacy in the mental development of a person. There are key arguments of new conceptions, obtained by the author and other researchers.
Peer and family support in children and adolescents with type 1 diabetes.

OBJECTIVE To examine social support and peer and family involvement in relation to diabetes management within a developmental context. METHODS Sixty-eight youths ages 8 to 17 diagnosed with type 1 diabetes participated. This study represents the phase 1 data from a multisystemic, home-based intervention. Data included parent and youth report of disease management and conflict, youth-reported perceptions of support, peer participation in the intervention, and HbA1c. RESULTS Adolescents perceived greater diabetes-related peer support than did school-age children. Perceived peer and family support were not correlated with metabolic control. Peer participation in the intervention was correlated with metabolic control. CONCLUSIONS There is a developmental shift in perceptions of peer support. Increased perceptions of peer and family support overall may not result in improved metabolic control. Social support interventions should focus on the types of support that are most highly associated with positive health outcomes.
Determining the similarity of deformable shapes

Determining the similarity of two shapes is a significant task in both machine and human vision systems that must recognize or classify objects. The exact properties of human shape similarity judgements are not well understood yet, and this task is particularly difficult in domains where the shapes are not related by rigid transformation. In this paper we identify a number of possibly desirable properties of a shape similarity method, and determine the extent to which these properties can be captured by approaches that compare local properties of the contours of the shapes, through elastic matching. Special attention is devoted to objects that possess articulations, i.e. articulated parts. Elastic matching evaluates the similarity of two shapes as the sum of local deformations needed to change one shape into another. We show that similarities of part structure can be captured by such an approach, without the explicit computation of part structure. This may be of importance, since although parts appear to play a significant role in visual recognition, it is difficult to stably determine part structure. We also show novel results about how one can evaluate smooth and polyhedral shapes with the same method. Finally, we describe shape similarity effects that cannot be handled by current approaches.
Role of Cyclic Nucleotide-Gated Channels in the Modulation of Mouse Hippocampal Neurogenesis

Neural stem cells generate neurons in the hippocampal dentate gyrus in mammals, including humans, throughout adulthood. Adult hippocampal neurogenesis has been the focus of many studies due to its relevance in processes such as learning and memory and its documented impairment in some neurodegenerative diseases. However, we are still far from having a complete picture of the mechanism regulating this process. Our study focused on the possible role of cyclic nucleotide-gated (CNG) channels. These voltage-independent channels activated by cyclic nucleotides, first described in retinal and olfactory receptors, have been receiving increasing attention for their involvement in several brain functions. Here we show that the rod-type, CNGA1, and olfactory-type, CNGA2, subunits are expressed in hippocampal neural stem cells in culture and in situ in the hippocampal neurogenic niche of adult mice. Pharmacological blockade of CNG channels did not affect cultured neural stem cell proliferation but reduced their differentiation towards the neuronal phenotype. The membrane permeant cGMP analogue, 8-Br-cGMP, enhanced neural stem cell differentiation to neurons and this effect was prevented by CNG channel blockade. In addition, patch-clamp recording from neuron-like differentiating neural stem cells revealed cGMP-activated currents attributable to ion flow through CNG channels. The current work provides novel insights into the role of CNG channels in promoting hippocampal neurogenesis, which may prove to be relevant for stem cell-based treatment of cognitive impairment and brain damage.
Mobile Intelligent Terminal Based Remote Monitoring and Management System

It is very important and difficult for remote monitoring and alarming in places such as Laboratory, Office, Residential Area and Hotels etc. This paper implemented a Remote Monitoring Alarming and Management System Based on Mobile Intelligent Terminal (RMAS-MIT), the remote monitoring and alarming system (RMAS) is composed of the front video collecting system, pre-processing system, data transmission system, data processing center. The data processing center will determine if there exists an abnormal event according to both the processed result from the collected video and the abnormal conditions set by the administrator. If an abnormal event appears, it will start the alarming work, for example, play alarm sound, send short message to the administrator's mobile, send email to the administrator etc. Aiming at the shortage of IPv4 address, this paper utilized both Port Map and Dynamic DNS technologies to implement the Dynamic Reverse Connection Trace (DRCT) to solve the remote management of RSMS-MIT located behind private networks. To implement the anywhere and anytime management of RSMS-MIT, this paper development the Mobile Intelligent Terminal based remote monitoring management system (RMAS-MIT).
Analysis and Prediction of Epilepsy Based on Visibility Graph

To classify and predict epilepsy seizure, visibility graph method is applied to analyze epileptic EEG. This stragety transform EEG time series to a complex network, and then EEG time series is analyzed from network topology and statistical characteristics. This paper devotes to classify epileptic EEG in ictal and interictal period and predict epilepsy seizure using visibility graph with sliding window. The results show that clustering coefficient is statistically higher in ictal period than in interictal period, and there is no obvious difference for their average path length. Clustering coefficient can be regarded as a new marker of epiletic seizure and is used to predict seizure. The EEG analysis method provides a new idea for epilepsy diagnosis and prediction.
The role of neighborhood physical environment on mobility and social participation among people using mobility assistive technology

Abstract This paper presents a systematic literature review on the impact of the neighborhood physical environment on mobility and social participation among people using mobility assistive technology (MAT). Peer-reviewed articles from eight databases published in French or English from 1990 to 2016 were searched. Thirty studies were included in this review. Factors related to neighborhood environmental features, mobility in transit, and accessibility of homes and public buildings influenced mobility and social participation of MAT users. The majority of reviewed studies combined different types of MAT, which made the interpretation of the results challenging. Few studies included walker, cane, and crutch users. Definitions of mobility and social participation lacked consistency and were often simplistic. Future empirical research needs to examine the impact of neighborhood physical environment factors separately for different MAT users. Causality and links between mobility and social participation of different MAT users at the neighborhood level should be further explored.
MRI Guided Surgical Robot

The advantages of surgical robots and manipulators are well recognised in the clinical and technical community. Precision, accuracy and the potential for telesurgery are the prime motivations in applying advanced robot technology in surgery. In this paper a magnetic resonance compatible surgical assist robot design and construction are described. The robot is designed to position and direct an axisymmetric tool, such as a laser pointer or a biopsy catheter. The main mechanical body is located above the head of a surgeon with two rigid arms extending to the workspace. This configuration contributed to a small occupancy in the workspace and good MR compatibility. The robot is not affected by the presence of strong magnetic fields and is able to manoeuvre during imaging without compromising the quality of images.
Contextualising the bycatch 'problem' in the Olifants Estuary Small-Scale Gillnet Fishery using an Ecosystem Approach to Fisheries

3 Acknowledgements. 5 List of Figures . 8 List of Tables . 11 List of Pictures . 12 List of Acronyms, Abbreviations and Units . 13 List of Fish Species Nomenclature . 15 Chapter 1: Introduction . 16 1.
Parallel structure of algorithms and training computational technology specialists

A universal method for describing an algorithm’s parallel structure was developed as a part of AlgoWiki Open Encyclopedia of Parallel Algorithmic Features. AlgoWiki is not just an important source of information on specific algorithms, but also a good training ground for students. To develop a high-quality algorithm description, one needs to study its structure, identify its key properties, obtain the data by practical experiments on a supercomputer and learn to visualize the results. This article describes the experience of conducting a computer lab course on parallel algorithm structure at the Faculty of Computational Mathematics and Cybernetics at Lomonosov Moscow State University.
Bone mineral metabolism in children with juvenile idiopathic arthritis--preliminary report.

INTRODUCTION There are very few reports assessing bone mineral mass and its metabolism in the course of juvenile idiopathic arthritis (JIA). STUDY OBJECTIVE To assess the levels of selected serum markers of bone formation (OCN) and resorption (CTx) in JIA children. MATERIAL AND METHODS The study involved 52 children with JIA diagnosed according to the EULAR criteria of 1997, aged 6-18 years. All patients underwent densitometric measurements using dual-energy X-ray absorptiometry (DXA) to assess TBBMD (g/cm2), Spine BMD (g/cm2), Z-score for SBMD, TBBMC (g), and LBM (g). The following parameters were determined in blood serum: the level of osteocalcin (OCN) and C-terminal type I alpha-collagen chain telopeptide (CTx) using the Elecsys 2010 system (N-MID Osteocalcin, Beta-CrossLaps). A gender- and age-matched control group consisted of 16 healthy children. RESULTS The mean concentrations of both osteocalcin (p<0.001) and CTx (p<0.005) were significantly higher in JIA patients as compared to the healthy controls (OCN 113.2+/-54.9 ng/ml vs. 70.2+/-48.3 ng/ml; CTx 1.4+/-0.5 mug/l vs. 1.2 +/-0.45 microg/l). The concentrations of the bone turnover markers were significantly reduced in children with higher degrees of joint destruction compared to those with anatomically normal joints (p<0.05). The mean concentration of CTx showed a significant negative correlation with the TB BMC/LBM Z-score (p<0.05). Reduced bone mass (Z-score for SBMD< -2.0) was found in 23.6% of the affected children. CONCLUSIONS The JIA patients had elevated levels of OCN and CTx compared to the healthy controls. Reduced bone turnover was observed in children with higher degrees of joint destruction.
Surgical Guidance in Prostate Cancer: “From Molecule to Man” Translations

Given the frequency of the disease and the difficulty of tumor resections, image-guided surgery technologies may aid the surgical management of prostate cancer patients. The “from molecule to man” translation of such approaches is, however, complex and depends on many different features, both from a technical and a practical perspective. Clin Cancer Res; 22(6); 1304–6. ©2015 AACR. See related article by Sonn et al., p. 1403
Techniques and Systems for Large Dynamic Graphs

Many applications regularly generate large graph data. Many of these graphs change dynamically, and analysis techniques for static graphs are not suitable in these cases. This thesis proposes an architecture to process and analyze dynamic graphs. It is based on a new computation model called Grab'n Fix. The architecture includes a novel distributed graph storage layer to support dynamic graph processing. These proposals were inspired by an extensive quantitative and qualitative analysis of existing graph analytics platform.