Miracle-dz/UniFAR-FTUs huggingface dataset:
Zidovudine Impairs Adipogenic Differentiation through Inhibition of Clonal Expansion

ABSTRACT Lipoatrophy is a prevalent side effect of treatment with thymidine analogues. We wished to confine the time point of the antiadipogenic effect of zidovudine (AZT) during adipogenesis and to evaluate the antiproliferative effect of AZT on adipocyte homeostasis. We investigated the effects of AZT on adipogenesis in 3T3-F442A cells and studied their proliferation, differentiation, viability, and adiponectin expression. Cells were exposed to AZT (1 μM, 3 μM, 6 μM, and 180 μM), stavudine (d4T; 3 μM), or dideoxycytosine (ddC; 0.1 μM) for up to 15 days. Differentiation was assessed by real-time PCR and quantification of triglyceride accumulation. Proliferation and clonal expansion were determined by a [3H]thymidine incorporation assay. When they were induced to differentiate in the presence of AZT at the maximum concentration in plasma (Cmax) and lower concentrations, 3T3-F442A preadipocytes failed to accumulate cytoplasmic triacylglycerol and failed to express normal levels of the later adipogenic transcription factors, CCAAT/enhancer-binding protein α and peroxisome proliferator-activated receptor γ. AZT exerted an inhibitory effect on the completion of the mitotic clonal expansion, which resulted in incomplete 3T3-F442A differentiation and, finally, a reduction in the level of adiponectin expression. In addition, AZT impaired the constitutive proliferation in murine and primary human subcutaneous preadipocytes. In contrast, incubation with d4T and ddC at the Cmax did not affect either preadipocyte proliferation or clonal expansion and differentiation. We conclude that the antiproliferative and antiadipogenetic effects of AZT on murine and primary human preadipocytes reveal the impact of the drug on fat tissue regeneration. These effects of the drug are expected to contribute to disturbed adipose tissue homeostasis and to be influenced by differential drug concentration and penetration in individual patients.
A Strategy for Multimedia Data File Retrieval using Hadoop Framework

The storage and retrieval of multimedia data is becoming increasingly important in many application areas including record management, video management and Internet of Things (IoT). In this paper, we propose a technique to retrieve a very large number of files, in multimedia format, using the Hadoop framework. Our strategy is based on the management of metadata that describes the characteristics of files that are stored in Hadoop Distributed File System (HDFS). To retrieve a file from HDFS, the metadata, in RDF format, of the file is looked up in MySQL database which then gives the file path to HDFS. Preliminary experiments on multimedia data files stored in HDFS shows the viability of the proposed strategy.
Optimization Feature Selection for classifying student in Educational Data Mining

Technology has revolutionized the field of education. As a result, the education related data is been increasing rapidly. This made data mining approaches to spot over educational data ended in Educational data mining (EDM). The regulation focuses on investigating educational data to build models for enhancing learning experiences and improving institutional effectiveness. In this paper, the data mining techniques is used for predicting the student performance in different educational levels. Irrelevant features, along with redundant features, rigorously influence the accuracy of the classification of student performance. Therefore, feature selection should be able to detect and eliminate both irrelevant and redundant features as hard as possible. After feature selecting process, two effective classification techniques i.e., Prism and J48 is used for predicting the student performance. Experimentation result is shown that the feature selection method is well effective.
Making Space to Engage: An Open-Ended Exploration of Technology Design with Older Adults

Designing for older adults can be complex. Often, designers struggle to understand people who share a very different life context. At the same time, older adults can have difficulties imagining future technologies for themselves. This creates challenges for design processes bounded by time and outcome expectations. In this paper, the authors explore a long-term, loosely structured and open-ended research process where they provided participants with prototypes to use for as long as they wanted, and only as they wanted to. By working with their own relatives and friends and moving away from structured procedures and external agendas, the authors made space for both participants and designers for deep engagements with the artifacts and process. Participants were able to better understand technology and shape it to their needs. Researchers were better able to understand and iterate on the technology designs. The authors' findings suggest that this approach might be especially appropriate for designing for and with older adults.
R A ] 2 7 A ug 2 01 7 Translatable quadratical quasigroups

The concept of a k-translatable groupoid is introduced. Those k-translatable quadratical quasigroups induced by the additive group of integers modulo m, where k < 40, are listed for m 6 1200. The fine structure of quadratical quasigroups is explored in detail and the Cayley tables of quadratical quasigroups of orders 5, 9, 13 and 17 are produced. All but those of order 9 are k-translatable, for some k. Quadratical quasigroups induced by the additive group of integers modulo m are proved to be k-translatable, for some k. Open questions and thoughts about future research in this area are given.
Reduced-complexity decoding of high-rate LDPC codes over partial-response channels

In this paper, we consider high-rate low-density parity-check (LDPC) codes for magnetic recording systems. We propose an efficient approach to reduce the computational complexity of the sum-product algorithm (SPA) for LDPC decoding by restricting the check operation to a small subset of input messages. Furthermore, the first-order MacLaurin Series is used to simplify the core operation and an attenuation factor is introduced to improve bit-error-rate (BER) performance by scaling down log-likelihood ratio (LLR) reliabilities in the decoding process. Simulation results show that the proposed decoder can obtain a noticeable performance gain over the conventional SPA at high signal-to-noise ratios (SNR) when used in turbo equalization schemes; while achieving a significantly lower computational complexity.
Expression at 279 K, purification, crystallization and preliminary X-ray crystallographic analysis of a novel cold-active β-1,4-D-mannanase from the Antarctic springtail Cryptopygus antarcticus.

The CaMan gene product from Cryptopygus antarcticus, which belongs to the glycoside hydrolase family 5 type β-1,4-D-mannanases, has been crystallized using a precipitant solution consisting of 0.1 M Tris-HCl pH 8.5, 25%(w/v) polyethylene glycol 3350 by the microbatch crystallization method at 295 K. The CaMan protein crystal belonged to space group P212121, with unit-cell parameters a = 73.40, b = 83.81, c = 163.55 Å. Assuming the presence of two molecules in the asymmetric unit, the solvent content was estimated to be about 61.29%. CaMan-mannopentaose (M5) complex crystals that were isomorphous to the CaMan crystals were obtained using the same mother liquor containing 1 mM M5.
Identi ¢ cation of interaction between MEK 2 and ARaf-1

Mitogen-activated protein (MAP) kinases are activated by dual-specificity kinases, termed MEKs. Using MEK2 as bait in yeast two-hybrid screening, besides c-Raf and KSR, A-Raf was identified as a novel partner that interacts with MEK2. This interaction was confirmed by in vitro binding assay. Further investigation indicates that regions critical for this interaction were located between residues 255 and 606 that represent the kinase domain of A-Raf. ß 2002 Elsevier Science B.V. All rights reserved.
THE EFFECT OF THE THICKNESS OF THE POROUS MATERIAL ON THE PARALLEL PLATE CHANNEL FLOW OF CASSON FLUID WHEN THE WALLS ARE PROVIDED WITH NON-ERODIBLE POROUS LINING

The flow of a Jeffrey fluid in a parallel plate channel is investigated when the walls are provided with non-erodible porous lining. The flow in the porous and free flow regions are described using Darcy law and Jeffrey model respectively. The velocity in the free flow region is obtained and the effect of thickness of porous lining on the flow parameters is discussed in detail with graphs.
Electrospinning of Polyacrylonitrile Nanofiber Membrane for Bacteria Removal

Electrospinning is a popular method to obtain nanofibers. Polyacrylonitrile (PAN) nanofibers in the range of 50 to 750 nm were prepared by electrospinning of homogeneous viscous solutions with varied polymer concentration in 10 – 16% (w/v) range in N, NDimethylformamide (DMF). The morphology of fibers observed by Scanning Electron Microscopy (SEM) indicated that the morphology transformation from beaded fiber to cylindrical form occurred at 14%, and the average fiber diameter at this concentration is 379 ± 54 nm. The polyacrylonitrile nanofibers were characterized by the Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR). Differential Scanning Calorimeter (DSC) study of electrospun fibers revealed the presence of three thermal transitions in glass transition of PAN fibers. Membrane of 14% PAN nanofiber was subjected to vacuum for removal of air from the pores along with partial densification. This membrane was tested for bacteria reduction and found to eliminate model E. coli bacteria up to 99.9997%. In addition, membranes of different thicknesses in the range of 125 μm to 750 μm were also electrospun and flow rate of water (flux) was measured. It was found that the flux exponentially decreased with the increase in thickness due to the strong resistance to flow through nanosized pores.
Performance Analysis of Training and Blind Equalization Algorithms for Wireless Communication using 64-QAM

Equalization is of utmost importance in all types of wireless communication systems. Every signal that is wirelessly transmitted must face the problem of multipath propagation. Multipath propagation results in spreading of individual symbols over time and hence results in InterSymbol Interference (ISI). The ISI causes the received signal to severely distort. In order to receive the original sent signal, the ISI must be eliminated from the received signal. In order to remove the ISI, a technique called as equalization is applied. In equalization we give the receiver certain information about the signal that is being sent. The receiver use that information to calculate the channel noise. The channel noise is then removed from the received signal in order to extract the original signal. There are two major types of equalization methods used in modern communication technology, the training based adaptive equalization algorithm and the blind equalization algorithm. In modern communication system, we have to look at various factors like voice quality, delay in signal transmission, distortion due to rapid movement of receiver or transmitter node or both. In this research, we will analyse the performance of these algorithm to figure out which algorithm suites the modern communication system and fulfil the demands of 4G and the upcoming 5G.
Hepatic Progenitor Cells in Hepatocellular Adenomas

Hepatocellular adenoma is a benign tumor of the liver that has a small but not negligible risk of malignant transformation into hepatocellular carcinoma. In analogy with the established role of oval cells in hepatocarcinogenesis in rodent models, human hepatic progenitor cells may have a function in the development of liver tumors. To investigate this issue, we performed immunohistochemistry on biopsies of 10 consecutively resected hepatocellular adenomas using markers for hepatic progenitor cells. Sections of paraffin-embedded and frozen biopsies were stained using antibodies against cytokeratins 7, 8, 18, and 19, chromogranin-A, OV-6, and neural cell adhesion molecule. Hepatic progenitor cells were observed in five of 10 hepatocellular adenomas. These five tumors also contained cells with an immunohistochemical phenotype intermediate between hepatic progenitor cells and hepatocytes. Hepatic progenitor cells and intermediate hepatocyte-like cells were scattered throughout the tumors with a density that varied from area to area. Ultrastructural examination confirmed the presence of hepatic progenitor cells. Our study shows that hepatic progenitor cells are present in a considerable proportion of hepatocellular adenomas, supporting the hypothesis that human hepatic progenitor cells can play a role in the development of hepatocellular tumors.
F eb 2 01 9 Gaussian approximation of maxima of Wiener functionals and its application to high-frequency data

This paper establishes an upper bound for the Kolmogorov distance between the maximum of a highdimensional vector of smooth Wiener functionals and the maximum of a Gaussian random vector. As a special case, we show that the maximum of multiple Wiener-Itô integrals with common orders is well-approximated by its Gaussian analog in terms of the Kolmogorov distance if their covariance matrices are close to each other and the maximum of the fourth cumulants of the multiple Wiener-Itô integrals is close to zero. This may be viewed as a new kind of fourth moment phenomenon, which has attracted considerable attention in the recent studies of probability. This type of Gaussian approximation result has many potential applications to statistics. To illustrate this point, we present two statistical applications in high-frequency financial econometrics: One is the hypothesis testing problem for the absence of lead-lag effects and the other is the construction of uniform confidence bands for spot volatility.
Small variance among different subcategories Artic Tern Caspian Tern Large variance in the same subcategory Common Tern Salty Backed Gull Salty Backed Gull Salty Backed Gull

Fine-grained visual categorization is to recognize hundreds of subcategories belonging to the same basic-level category, which is a highly challenging task due to the quite subtle and local visual distinctions among similar subcategories. Most existing methods generally learn part detectors to discover discriminative regions for better categorization performance. However, not all parts are beneficial and indispensable for visual categorization, and the setting of part detector number heavily relies on prior knowledge as well as experimental validation. As is known to all, when we describe the object of an image via textual descriptions, we mainly focus on the pivotal characteristics, and rarely pay attention to common characteristics as well as the background areas. This is an involuntary transfer from human visual attention to textual attention, which leads to the fact that textual attention tells us how many and which parts are discriminative and significant to categorization. So textual attention could help us to discover visual attention in image. Inspired by this, we propose a fine-grained visual-textual representation learning (VTRL) approach, and its main contributions are: (1) Fine-grained visual-textual pattern mining devotes to discovering discriminative visual-textual pairwise information for boosting categorization performance through jointly modeling vision and text with generative adversarial networks (GANs), which automatically and adaptively discovers discriminative parts. (2) Visual-textual representation learning jointly combines visual and textual information, which preserves the intra-modality and intermodality information to generate complementary fine-grained representation, as well as further improves categorization performance. Comprehensive experimental results on the widely-used CUB-200-2011 and Oxford Flowers-102 datasets demonstrate the effectiveness of our VTRL approach, which achieves the best categorization accuracy compared with state-of-the-art methods.
, Munich n 3 l A Framework for Numerical Simulation of Turbulent Incompressible Unsteady Flame Dynamics Coupled with Acoustic Calculations in Time And Frequency Domains

A generalized formulation of combustion-acoustic coupling at simultaneous multiple timeand length-scales is presented. The scale separation is applied to the compressible NavierStokes equations, and the flow quantities are expanded about the mean flow Mach number. This results in equations separating into the one governing the combustion at shorter length/longer time-scale, and the other, the acoustics at longer length/shorter time-scale. Explicit coupling terms, the dilatation of the base flow as a source of acoustic energy and the acoustic Reynolds stress (ARS) as the source to base flow momentum are identified. Simulations are carried out in a dump combustor, under laminar flow conditions as a model problem, and under turbulent conditions as in real cases. The turbulent flow is simulated by large eddy simulation (LES) and unsteady Reynolds-averaged Navier-Stokes (URANS) approach. Additional turbulentacoustic interaction terms are identified in the decomposition and are modeled. The results show good agreement with experimental data.
Profiling bare-metal cores in AMP systems

In this paper we describe OProfileBM, an extension to the sampling-based Linux system profiler OProfile. It enables cheap and easy to use performance analysis on multi-core platforms operated using asymmetric multiprocessing (AMP). OProfileBM is linked to standalone applications that run on bare-metal cores without an operating system, and collects samples in the background, while the application is running. The collected data is then transferred to an OProfile instance running on Linux for further analysis. OProfileBM integrates seamlessly with the existing OProfile frontend.
A review of wind-turbine structural stability, failure and alleviation

Advancements in materialistic life styles and increasing awareness about adverse climatic changes and its negative effects on human life have been the driving force of finding new and clean sources of energy. Wind power has become technologically mature and commercially acceptable on global scale. However, fossil fuels have been the major sources of energy in most countries, renewable energy (particularly wind) is now booming worldwide. To cope with this wind energy technology, various related aspects have to be understood by the scientific, engineering, utility, and contracting communities. This study is an effort towards the understanding of the (i) wind turbine blade and tower structural stability issues, (ii) turbine blade and tower failures and remedial measures, (iii) weather and seismic effects on turbine blade and tower failures, (iv) gear box failures, and (v) turbine blade and tower failure analysis tools.
www.ssoar.info Cooperation in Networked Populations of Selfish Adaptive Agents: Sensitivity to Learning Speed

This paper investigates the evolution of cooperation in iterated Prisoner's Dilemma (IPD) games with individually learning agents, subject to the structure of the interaction network. In particular, we study how Tit-for-Tat or All-Defection comes to dominate the population on Watts-Strogatz networks, under varying learning speeds and average network path lengths. We find that the presence of a cooperative regime (where almost the entire population plays Tit-for-Tat) is dependent on the quickness of information spreading across the network. More precisely, cooperation hinges on the relation between individual adaptation speed and average path length in the interaction topology. Our results are in good agreement with previous works both on discrete choice dynamics on networks and in the evolution of cooperation literature.
APPLICATION OF GIS AND REMOTE SENSING IN 3 D MODELLING AND DETERMINATION OF MORPHOMETRIC FEATURES OF THE “ AGRI VOLCANO ” , AGRI , TURKEY

Improving research methods and techniques present researchers with many advantages. Geographical information systems (GIS) and Remote Sensing (RS) are methods that researchers apply to reach the end-users. GIS and RS have developed in parallel and have uses in many scientıfic disciplines including in geomorphological and 3D imaging studies. To illustrate the potential of GIS and RS to determine 3D images, geomorphological features and the way they are examined, the Ağrı Volcano (Mount Ararat) within Ağrı city was selected as the study area. Data sources included 1/25000 scaled topographical maps, The Shuttle Radar Topography Mission (SRTM) data and Landsat 1987 TM, 2000 ETM satellite images. Geometric corrections of satellite and topgraphical maps were applied using ERDAS 9.1 software. Contour lines and vectoral data from 1/25000 scaled topographical maps were digitised using slope, aspect and other morphometrical features from Digital Elevation Model (DEM). Drainage network features derived from DEM and topographical maps were also evaluated. In order to create a 3D model of the Ağrı Volcano, Landsat satellite images, SRTM and DEM data were used. With the aid of the ArcGlobe and ArcScene modules of the ArcGIS software, various point of view were achieved.
StoKlaim : A Stochastic Extension of Klaim

Global (or network-aware) computing entails large-scale networks of computers performing tasks in a cooperative and coordinated manner. Programming and modeling languages such as Klaim focus on key functional aspects of global computing such as distribution awareness, (code and agent) mobility, and privacy aspects. This paper instead concentrates on their performance and dependability aspects. It proposes StoKlaim, an extension of Klaim which permits the description of random phenomena such as spontaneous computer crashes and spurious network hick ups. The operational semantics of StoKlaim is based on continuoustime Markov chains. The approach is illustrated by modeling the spreading of a virus through a network.
Simulation of a Variable Stiffness Actuator in Gazebo

Abstract Variable Stiffness Actuators (VSAs) are becoming ubiquitous in soft-robotics, for they present the novel capability of adapting their mechanical output stiffness. To fully integrate their possibilities in modern Computer Aided Engineering design-simulation loops and ultimately speed up the design process and the application development, a detailed simulation of their behavior is fundamental. Up to the authors knowledge,no current mainstream robotic simulator features VSAs as possibility for joint actuation, hence the motivation of this work. The Gazebo simulation environment is widely used in robotics due to its many qualities, its connection with the Robot Operating System (ROS), its relation to the DARPA Robotics challenge (DRC) and its wide user community. This makes it an ideal candidate to host the proposed simulation module. This paper focuses on the qbmove VSA, whose designs are published open-source on the Natural Machine Motion Initiative (NMMI) platform. After a brief description of the the device design and function, the simulation implementation is presented and a comparison between the simulation and real experimental data is performed. Finally, we present some usage examples in which several instances of the module are assembled in complex structures. The simulation module and the assembled examples are freely available in the form a easy-to-use plug-in, and released open-source under the Apache v2.0 on the NMMI platform.