Miracle-dz/UniFAR-FTUs huggingface dataset:
Accuracy of Mesh-based Cosmological Hydrocodes: Tests and Corrections

We perform a variety of tests to determine the numerical resolution of the cosmological TVD Eulerian code. Tests include 5123 and 2563 simulations of a Pk∝k−1 spectrum to check for self-similarity and a comparison of results with those from higher resolution smooth-particle hydrodynamics (SPH) codes and grid-based calculations. We conclude that in regions where density gradients are not produced by shocks, the code degrades resolution with a Gaussian smoothing (radius) length of 1.7 cells. At shock-caused gradients (for which the code was designed) the smoothing length is 1.1 cells. Finally, for β-model-fitted clusters, we can approximately correct the numerical resolution by the transformation R2core→R2core-(CΔl)2, where Δl is the cell size and C=1.1-1.7. When we use these corrections on our previously published computations for the standard cold dark matter (SCDM) and ΛCDM models, we find luminosity-weighted zero-redshift X-ray cluster core radii of 210 ± 86 h−1 and 280 ± 67 h−1 kpc, respectively, which are marginally consistent with observed values of 50-200 h−1 kpc. Using the corrected core radii, the COBE-normalized SCDM model predicts a number of bright (LX>1043 ergs s-1) clusters that is too high by a factor of ~20, and the ΛCDM model is consistent with observations.
Tactile controller using fuzzy logic for robot inhand manipulation

Autonomous manipulation is one the the most complex fields of humanoid robotics research, because it involves several domains such as: object recognition, object tracking, manipulator positioning, grasping, etc. In this paper a tactile controller based on fuzzy logic is proposed, capable of complex inhand manipulation tasks. This fuzzy logic approach assures finger motion smoothness by dealing with sensor nonlinearities and uncertainties, thus reducing the need of knowing the object dimensions or exact position in relation to the robot hand.
Estradiol downregulates miR-21 expression and increases miR-21 target gene expression in MCF-7 breast cancer cells

Select changes in microRNA (miRNA) expression correlate with estrogen receptor α (ERα) expression in breast tumors. miR-21 is higher in ERα positive than negative tumors, but no one has examined how estradiol (E2) regulates miR-21 in breast cancer cells. Here we report that E2 inhibits miR-21 expression in MCF-7 human breast cancer cells. The E2-induced reduction in miR-21 was inhibited by 4-hydroxytamoxifen (4-OHT), ICI 182 780 (Faslodex), and siRNA ERα indicating that the suppression is ERα-mediated. ERα and ERβ agonists PPT and DPN inhibited and 4-OHT increased miR-21 expression. E2 increased luciferase activity from reporters containing the miR-21 recognition elements from the 3′-UTRs of miR-21 target genes, corroborating that E2 represses miR-21 expression resulting in a loss of target gene suppression. The E2-mediated decrease in miR-21 correlated with increased protein expression of endogenous miR-21-targets Pdcd4, PTEN and Bcl-2. siRNA knockdown of ERα blocked the E2-induced increase in Pdcd4, PTEN and Bcl-2. Transfection of MCF-7 cells with antisense (AS) to miR-21 mimicked the E2-induced increase in Pdcd4, PTEN and Bcl-2. These results are the first to demonstrate that E2 represses the expression of an oncogenic miRNA, miR-21, by activating estrogen receptor in MCF-7 cells.
City Research Online

—BitTorrent is the most widely used Peer-to-Peer (P2P) protocol and it comprises the largest share of trafﬁc in Europe. To make BitTorrent more Internet Service Provider (ISP) friendly, BitTorrent Inc. invented the Micro Transport Protocol (uTP). It is based on UDP with a novel congestion control called Low Extra Delay Background Transport (LEDBAT). This protocol assumes that the receiver always gives correct feedback, since otherwise this deteriorates throughput or yields to corrupted data. We show through experimental investigation that a misbehaving uTP receiver, which is not interested in data integrity, can increase the bandwidth of the sender by up to ﬁve times. This can cause a congestion collapse and steal large share of a victim’s bandwidth. We present three attacks, which increase the bandwidth usage signiﬁcantly. We have tested these attacks in a real world environment and show its severity both in terms of number of packets and total trafﬁc generated. We also present a countermeasure for protecting against the attacks and evaluate the performance of that defence strategy.
Adaptive backstepping PI sliding-mode control for interior permanent magnet synchronous motor drive systems

An adaptive backstepping PI sliding-mode control is proposed for speed control of the drive of an interior permanent magnet synchronous motor (IPMSM) subjected to load disturbances. First, a nonlinear model with uncertainties is derived for the IPMSM, and then an adaptive backstepping sliding-mode controller incorporating a linear load torque estimator is designed. Next, the parametric uncertainties of the model are handled with adaptive laws in the design of the controller. To attenuate the chattering problem without sacrificing the feature of the sliding-mode control, an adaptive Pi-saturation function is used to approximate the signum function within the boundary layer. Asymptotic stability of the proposed control method is proven by Lyapunov stability theory and Barbalat's lemma. A digital signal processor, TMS320LF2407, is adopted to implement the proposed control scheme. The experimental results show that the proposed system can effectively reduce the chattering phenomenon and has fast transient response, good load disturbance rejection response, and good tracking response.
Empirical Studies of ECG Multiple Fiducial-Points Based Binary Sequence Generation (MFBSG) Algorithm in E-Health Sensor Platform

In this paper, the Arduino Uno based e-Health Sensor Platform V2.0 by Libelium is enhanced with the ECG Multiple Fiducial-points based Binary Sequence Generation (MFBSG) algorithm to secure wireless sensors within Wireless Body Area Networks (WBANs). The eHealth kit includes biometric and other medical related functionalities to monitor the human body conditions by utilizing 10 different sensors that includes electrocardiogram (ECG). Therefore, MF-BSG algorithm generates secret keys for encryption, decryption and authentication purposes. Furthermore, we have analyzed the performance of the enhanced version of the toolkit and compared it with the Enhanced Very Fast Decision Tree (EVFDT) mechanism based health care systems in terms attack detection accuracy. The results confirm that the monitored data is transferred to the required destination in a more accurate and secure manner as compared to previous algorithms.
A Survey Paper on Noise Estimation and Removal Through Principal Component Analysis

Digital images are noisy due to the circuit or sensors heat. To ensure the quality of image quality in image processing noise estimation and removal are very important step before analysis or using image. Estimation and removal of noise from digital images are big task from proposed till now. Principal component analysis (PCA) is used for noise estimation and removal. This papers presents comparative analysis of various noise estimation and removal algorithms based on principal component analysis.
Energy-Aware Quality of Service Adaptation

Abstract : In a wide variety of embedded control applications, it is often the energy resources that form the fundamental limits on the system, not the system's computing capacity. Various techniques have been developed to improve energy efficiency in hardware, such as Dynamic Voltage Scaling (DVS), effectively extending the battery life of these systems. However, a comprehensive mechanism of task adaptation is needed in order to make the best use of the available energy resources, even in the presence of DVS or other power-reducing mechanisms. Further complicating this are the strict timeliness guarantees required by real-time applications commonly found in embedded systems. This paper develops a new framework called Energy-aware Quality of Service (EQoS) that can manage realtime tasks and adapt their execution to maximize the benefits of their computation for a limited energy budget. The concept of an adaptive real-time task and the notion of utility, a measure of the benefit or value gained from their execution, are introduced. Optimal algorithms and heuristics are developed to maximize the utility of the system for a desired system runtime and a given energy budget, and then extended to optimize utility without regard to runtime. We demonstrate the effects of DVS on this system and how EQoS in conjunction with DVS can provide significant gains in utility for fixed energy budgets. Finally, we evaluate this framework through both simulations and experimentation on a working implementation.
Dual-Tone Radio Interferometric Positioning Systems Using Undersampling Techniques

High accuracy and low cost are challenging requirements for localization in wireless sensor networks (WSNs). The radio interferometric positioning system (RIPS) proposed in aims to meet both requirements at the same time. However, it is vulnerable to channel fading, and suffers from the noise aggravation due to the square operation. In this paper, we propose a dual-tone radio interferometric positioning system (DRIPS) using undersampling techniques, named uDRIPS. Our proposed methodology is immune to flat fading effects, and avoids the amplification of measurement noise by directly undersampling the received signal. Furthermore, the time-of-arrival (TOA) information is extracted from the phases of the received dual-tone signals in the uDRIPS. As a result, it is able to localize an asynchronous target with the help of synchronous anchors (nodes with known positions). Moreover, we investigate the integer ambiguity problem due to phase wrapping, and develop a localization algorithm to estimate the unknowns alternatively. Simulation results corroborate the efficiency of our proposed algorithm.
Isolation and Characterization of Neural Crest-Derived Stem Cells from Dental Pulp of Neonatal Mice

Dental pulp stem cells (DPSCs) are shown to reside within the tooth and play an important role in dentin regeneration. DPSCs were first isolated and characterized from human teeth and most studies have focused on using this adult stem cell for clinical applications. However, mouse DPSCs have not been well characterized and their origin(s) have not yet been elucidated. Herein we examined if murine DPSCs are neural crest derived and determined their in vitro and in vivo capacity. DPSCs from neonatal murine tooth pulp expressed embryonic stem cell and neural crest related genes, but lacked expression of mesodermal genes. Cells isolated from the Wnt1-Cre/R26R-LacZ model, a reporter of neural crest-derived tissues, indicated that DPSCs were Wnt1-marked and therefore of neural crest origin. Clonal DPSCs showed multi-differentiation in neural crest lineage for odontoblasts, chondrocytes, adipocytes, neurons, and smooth muscles. Following in vivo subcutaneous transplantation with hydroxyapatite/tricalcium phosphate, based on tissue/cell morphology and specific antibody staining, the clones differentiated into odontoblast-like cells and produced dentin-like structure. Conversely, bone marrow stromal cells (BMSCs) gave rise to osteoblast-like cells and generated bone-like structure. Interestingly, the capillary distribution in the DPSC transplants showed close proximity to odontoblasts whereas in the BMSC transplants bone condensations were distant to capillaries resembling dentinogenesis in the former vs. osteogenesis in the latter. Thus we demonstrate the existence of neural crest-derived DPSCs with differentiation capacity into cranial mesenchymal tissues and other neural crest-derived tissues. In turn, DPSCs hold promise as a source for regenerating cranial mesenchyme and other neural crest derived tissues.
Potential Therapeutic Agents for the Treatment of Fatty Degeneration of Liver and Atheromatous Plaques: An Experimental Study in Rats

Background: Since long high fat diet (HFD) is being blamed for causing fatty degeneration of liver and formation of atheromatous plaques. At present, no proper pharmacotherapy is available for both the conditions. In this study, different substances containing monounsaturated fatty acids were used to observe their protective effects in the HFD induced damage to liver and coronary vessels. Objectives: To discover effective therapeutic agents for HFD induced fatty degeneration of liver and atheromatous plaques. Materials and Methods: The study was conducted from September 2015 to April 2016. In this study, rats were divided into nine groups according to dietary regimen. Each group comprised six rats. Saturated fat was given in the form of butter, and unsaturated fat was given in the form of corn oil, olive oil, Nigella sativa oil, and crushed garlic. Serum samples were taken to estimate lipid profile, liver functions, cardiac functions, and kidney functions. Visceras were removed after animal sacrifice, and histopathological examination was done. Results and Conclusion: During the study period, the weight of animals changed significantly in some groups. Those animals which were given crushed garlic along with high saturated fat diet, showed protection against accumulation of lipids in the hepatocytes. Olive oil and Nigella sativa oil were comparatively less effective. Abbreviations used: HFD: High Fat Diet; NS: Nigella Sativa; TQ: Thymoquinone; KFMRC: King Fahad Medical Research Center; BUN: Blood Urea Nitrogen; BNF: Buffered Neutral Formalin; G: Group
Shorter contributions First results from the use of local ATOVS data in the Australian region

The NOAA-K, -L, -M series of Polar Orbiting Environmental Satellites (POES) herald a new era of improved atmospheric monitoring. The first of these satellites (NOAA-15) was launched in May 1998 and carries an ATOVS (Advanced TIROS Operational Vertical Sounder) instrument complement that represents a significant improvement over previous NOAA polar orbiting spacecraft (NOAA, 1998). Here, we provide a brief description of the new spacecraft, describe the Australian facility to receive and process the data, and record the first results of their impact on regional (operational) numerical weather prediction.
Millimeter-wave identification for future sensing, tracking, positioning and communicating systems

The emerging millimeter-wave identification (MMID) technology is poised to exploit special advantages from operating in this frequency band and to circumvent the limitations of low-frequency RFID. In this work, the state-of-art of innovative techniques, which allow propelling the MMID technology in the front line of future wireless systems such as smart homes, are presented. Two recent developments in our group are highlighted with simulations and experiments, namely (1) extremely miniaturized and highly-secure chipless tag techniques for short- and mid-range; and (2) a new generation of high data-rate, fully integrated, battery-free, yet active MMID tag on a single CMOS die with no external components. In this paper, great potentials and exciting prospects of MMID sensing systems as well as their technological challenges in terms of security, networking, mass production and deployment issues are discussed. Successful development of MMIDs and their penetration into the market constitute a critical future smart living and result in better life in terms of green environment, efficient energy usage and secure information.
The Routing Strategy of Pervasive Computing

In the near future, a pervasive computing environment can be expected based on the recent progresses and advances in computing and communication technologies. This paper describes the recent network model that can be applied in pervasive computing. The routing strategy among networks is presented in pervasive computing. Special attention is paid on key research issues include X-cast routing algorithms, security schemes, and QoS model
De Novo Design and Evolution of Artificial Disulfide Isomerase Enzymes Analogous to the Bacterial DsbC*

The Escherichia coli disulfide isomerase, DsbC is a V-shaped homodimer with each monomer comprising a dimerization region that forms part of a putative peptide-binding pocket and a thioredoxin catalytic domain. Disulfide isomerases from prokaryotes and eukaryotes exhibit little sequence homology but display very similar structural organization with two thioredoxin domains facing each other on top of the dimerization/peptide-binding region. To aid the understanding of the mechanistic significance of thioredoxin domain dimerization and of the peptide-binding cleft of DsbC, we constructed a series of protein chimeras comprising unrelated protein dimerization domains fused to thioredoxin superfamily enzymes. Chimeras consisting of the dimerization domain and the α-helical linker of the bacterial proline cis/trans isomerase FkpA and the periplasmic oxidase DsbA gave rise to enzymes that catalyzed the folding of multidisulfide substrate proteins in vivo with comparable efficiency to E. coli DsbC. In addition, expression of FkpA-DsbAs conferred modest resistance to CuCl2, a phenotype that depends on disulfide bond isomerization. Selection for resistance to elevated CuCl2 concentrations led to the isolation of FkpA-DsbA mutants containing a single amino acid substitution that changed the active site of the DsbA domain from CPHC into CPYC, increasing the similarity to the DsbC active site (CGYC). Unlike DsbC, which is resistant to oxidation by DsbB-DsbA and does not normally catalyze disulfide bond formation under physiological conditions, the FkpA-DsbA chimeras functioned both as oxidases and isomerases. The engineering of these efficient artificial isomerases delineates the key features of catalysis of disulfide bond isomerization and enhances our understanding of its evolution.
Oxford Internet Survey 2007 Report: The Internet in Britain

Launched by the Oxford Internet Institute in 2003, OxIS has become an authoritative source of information about Internet access, use and attitudes - and the difference this makes for everyday life - in Britain. Areas covered include: digital and social inclusion and exclusion; regulation and governance of the Internet; privacy, trust and risk concerns; and uses of the Internet, including social networking, entertainment and online education. The OxIS 2007 survey is the third in a series, with previous surveys conducted in 2003 and 2005. Each has used a multi-stage national probability sample of 2000 people in the UK, enabling us to project estimates to Britain as a whole. OxIS provides the UK's link to the World Internet Project (WIP), an international collaborative project that joins over two dozen nations in studies of the social, economic and political implications of the Internet. The first part of this report focuses on describing users, ex-users and non-users, based on such attributes as their demographic characteristics, uses of, and attitudes towards, ICTs. The second part focuses on describing how people with different backgrounds use and think about the Internet. A description of the methodology is available at the end of this report, and the full protocol for the interviews is available on the OxIS website.
Simultaneous Determination of Wage Rates and Tenure

Labor economists have recognized the potential for simultaneous determination of a worker’s wage rate and tenure on a job in both theoretical and empirical models. Modeling this endogeneity illustrates when parameters related to wage and tenure determination may be subject to estimation bias or inconsistency. In this paper, we use a new specification that explicitly considers the simultaneous determination of the wage rate and tenure in estimation of the wage equation. In a discrete-time duration analysis framework, we specify a worker’s tenure as an accumulation of periodic mobility decisions. We combine these decisions with an econometric model for the wage rate that allows tenure to affect the outcome in each period. Our empirical findings show that a worker with 10 years of tenure is paid approximately 6.9% more than a worker who holds a sequence of one-year duration jobs.
The Design and Implementation of ViPER

A video sequence may contain any number of persons, objects and activities. ViPER-GT is a tool for annotating a video with detailed spatial and temporal information about its contents. This paper is for people who wish to extend it for their own needs, or curious users who wish to understand some of its design choices. It presents information about ViPER-GT's predecessors (and antecedents), information about its design and implementation and some use cases.
Quantified Self : An Overview & the Development of a Universal Tracking Application

Quantified self is the concept of tracking, recording and analyzing various pieces of data about ourselves to discover previously unknown patterns. Quantified self can involve manually or automatically recording and tracking data, like the time spent asleep, heart rate, mood or the amount of coffee consumed, using technological tools. This thesis aims to describe the new form of self-tracking, called quantified self. This is performed by looking into the following topics: how the concept has emerged, how it is performed, the present technological tools used, how captured data can be interpreted and how to act on the data. As a contribution to the field, a tool for the quantified self practice has been developed in form of a prototype with the main purposes of universal tracking and future data source collaboration.
The X-ray Afterglow of GRB030329 at Early and Late Times

Thanks to its extraordinary brightness, the X‐ray afterglow of GRB030329 could be studied by XMM‐Newton up to two months after the prompt Gamma‐ray emission. We present the results of two XMM‐Newton observations performed on May 5 and 29, as well as an analysis of the Rossi‐XTE data of the early part of the afterglow, discussing in particular the stability of the X‐ray spectrum and presenting upper limits on the presence of X‐ray emission lines.
An Efficient Dynamic Threshold Buffer Allocation Scheme for the Future Internet

 The current Internet uses a single queue per output port to buffer packets destined for that port. This often causes congestion leading to packet loss and delay. Real-time applications are delay and loss sensitive. There is therefore a need to develop a buffer management system that will effectively accommodate both real-time and non-real-time applications. In this paper, we propose a dynamic threshold buffer management scheme. This scheme uses complete sharing with virtual partitioning. Pre-emption is used to minimise congestion. Out of profile high priority packets are dropped during pre-emption period. To add fairness to the scheme, low priority packets are guaranteed a minimum buffer space. We simulated the scheme and found that DTBAS performs well in terms of packet loss and buffer utilisation.