Miracle-dz/UniFAR-FTUs huggingface dataset:
Oncogenes & Tumor Suppressors ARF Regulates the Stability of p 16 Protein Via REG g-Dependent Proteasome Degradation

The cell-cycle regulatory gene INK4A-ARF (CDKN2A) has two alternative transcripts that produce entirely different proteins, namely p14 and p16, which have complementary functions as regulators of p53 and pRB tumor suppressor pathways, respectively. The unusual organization of INK4A-ARF has long led to speculation of a need for coordinated regulation of p14 and p16.We now show that p14 (ARF) regulates the stability of p16 protein in human cancer cell lines, as well as in mouse embryonic fibroblasts (MEFs). In particular, ARF promotes rapid degradation of p16 protein, which ismediated by the proteasome and,more specifically, by interaction of ARF with one of its subunits, REGg . Furthermore, this ARF-dependent destabilization of p16 can be abrogated by knockdown ofREGg or by pharmacologic blockade of its nuclear export. Thus, our findings have uncovered a novel crosstalk of 2 key tumor suppressorsmediated by aREGg-dependentmechanism.The ability of ARF to control p16 stability may influence cell-cycle function. Implications: The ability of ARF to control p16 stability may influence cell cycle function. Visual Overview: http://mcr.aacrjournals. org/content/11/8/828/F1.large. jpg. Mol Cancer Res; 11(8); 828–33.
Evaluation of Data Mining Methods

Several classes of computational and statistical methods for data mining are available. Each class can be parameterised so that models within the class differ in terms of such parameters (see, for instance, Giudici, 2003; Hastie et al., 2001; Han & Kamber, 2000; Hand et al., 2001; Witten & Frank, 1999): for example, the class of linear regression models, which differ in the number of explanatory variables; the class of Bayesian networks, which differ in the number of conditional dependencies (links in the graph); the class of tree models, which differ in the number of leaves; and the class multi-layer perceptrons, which differ in terms of the number of hidden strata and nodes. Once a class of models has been established the problem is to choose the “best” model from it.
Multimodal text designers: A case study of literacy events in a multicultural context

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Estrogen Receptors and the Activity of Nitric Oxide Synthase in the Artery of Female Rats Receiving Hormone Replacement Therapy

Objective: To observe the expression of estrogen receptor and the activity of NOS in the arteries of female rats receiving estrogen replacement therapy. Methods: Seventy-two female rats were randomly divided into four groups: group A: sham-ovariectomy; group B: ovariectomy; group C: ovariectomy with estrogen replacement therapy (benzoate estradiol, 5 μg i.m. once in 2 days); group D: ovariectomy with estrogen and progesterone replacement therapy (benzoate estradiol, 5 μg i.m. once in 2 days and progesterone, 1 mg i.m. once in 2 days). The rats were killed after 2 months. The receptor-binding assay was adopted to measure the estrogen receptors in the arteries of the rats, and the activity of NOS in the arteries was assessed by the hemoglobin reductase method. Results: The ER number and NOS activity in the arteries of the ovariectomized group are less than those in sham-ovariectomy group (p < 0.05). The ER number and NOS activity in the arteries of groups C and D are larger and higher than those in the ovariectomized group (p < 0.05). No significant differences in the ER number and NOS activity were observed between groups C and D. Conclusion: The ER number and NOS activity in the rat artery significantly decrease after ovariectomy, while hormone replacement therapy can significantly increase the artery NOS activity and retain the ER number in the artery of the ovariectomized rats to normal level. The result may contribute to explaining the beneficial effect of estrogen in the prevention of coronary artery diseases in postmenopausal women.
Scanning face models with desktop cameras

Generating face models of humans from video sequences is an important problem in many multimedia applications ranging from teleconferencing to virtual reality. Most practical approaches try to fit a generic face model in the two-dimensional image, and adjust the model parameters to arrive at the final answer. These approaches require the identification of specific landmarks on the face, and this identification routine may or may not be an automated process. In this paper, we present a method for deriving the three-dimensional (3-D) face model from a monocular image sequence, using a few standard results from the affine camera geometry literature in computer vision, and spline-fitting techniques adopted from the nonparametric regression literature in statistics. No prior knowledge of the camera calibration parameters and the shape of the face is required by the system, and the entire process requires no user intervention. The system has been successfully demonstrated to extract the 3-D face structure of humans in several image sequences.
Novel topology of Fabry-Perot electronically steerable leaky-wave antenna

A novel topology of electronically-steerable one-dimensional Fabry-Perot leaky-wave antenna (LWA) is proposed. The structure is based on a host parallel-plate waveguide (PPW) which encloses a Fabry-Perot cavity created by two printed-circuits boards (PCB): a top planar partially reflective surface (PRS) and a bottom tunable high impedance surface (HIS) loaded with varactors. The control of the scattering properties of the bottom tunable HIS by the variation of the varactors' capacitance enables control of the Fabry-Perot cavity resonance and thus the scanning of the antenna pointing angle from broadside towards the endfire direction at a fixed frequency. Full-wave simulations obtained with commercial finite element method solver (HFSS) demonstrate as a proof of concept a continuous scanning range of the pointing angle from 5° to 50° at a design frequency of 5.6 GHz.
Improved cerebral oxygenation response and executive performance as a function of cardiorespiratory fitness in older women: a fNIRS study

Cardiorespiratory fitness has been shown to protect and enhance cognitive and brain functions, but little is known about the cortical mechanisms that underlie these changes in older adults. In this study, functional near infrared spectroscopy (fNIRS) was used to investigate variations in oxyhemoglobin [HbO2] and in deoxyhemoglobin [HHb] in the dorsolateral prefrontal cortex (DLPFC) during the performance of an executive control task in older women with different levels of cardiorespiratory fitness (VO2max). Thirty-four women aged 60–77 years were classified as high-fit and low-fit based on VO2max measures. They all performed a control counting (CNT) task and the Random Number Generation (RNG) task at two different paces (1 number/1 s and 1 number/1.5 s), allowing to manipulate task difficulty, while hemodynamic responses in the bilateral DLPFCs were recorded using continuous-wave NIRS. The behavioral data revealed that the high-fit women showed significantly better performance on the RNG tasks compared with the low-fit women. The high-fit women showed significant increases in [HbO2] responses in both left and right DLPFCs during the RNG task, while the low-fit women showed significantly less activation in the right DLPFC compared with the right DLPFC of the high-fit women and compared with their own left DLPFC. At the level of the whole sample, increases in the [HbO2] responses in the right DLPFC were found to mediate in part the relationship between VO2max level and executive performance during the RNG task at 1.5 s but not at 1 s. These results provide support for the cardiorespiratory fitness hypothesis and suggest that higher levels of aerobic fitness in older women are related to increased cerebral oxygen supply to the DLPFC, sustaining better cognitive performance.
Balancing job performance with system performance via locality-aware scheduling on torus-connected systems

Torus-connected network is widely used in modern supercomputers due to its linear per node cost scaling and its competitive overall performance. Job scheduling system plays a critical role for the efficient use of supercomputers. As supercomputers continue growing in size, a fundamental problem arises: how to effectively balance job performance with system performance on torus-connected machines? In this work, we will present a new scheduling design named window-based locality-aware scheduling. Our design contains three novel features. First, rather than one-by-one job scheduling, our design takes a “window” of jobs, i.e. multiple jobs, into consideration for job prioritizing and resource allocation. Second, our design maintains a list of slots to preserve node contiguity information for resource allocation. Finally, we formulate our scheduling decision making into a 0-1 Multiple Knapsack Problem and present two algorithms to solve the problem. A series of trace-based simulations using job logs collected from production supercomputers indicate that this new scheduling design has real potentials and can effectively balance job performance and system performance.
Herding and financial panics: a role for cognitive psychology?

The purpose of this Research Memorandum is to assess whether concepts from psychological theory may be useful in explaining herding and crises in financial markets. The conclusion is that the theory of cognitive dissonance, which assumes that the human brain seeks and processes information in a biased way, seems to be able to explain both phenomena. A possible policy implication is, that intensive and careful information dissemination may be important both for socially optimal investor behaviour and in creating financial stability.
Resource allocation and scheduling in cloud computing

Cloud computing is a platform that hosts applications and services for businesses and users to accesses computing as a service. In this paper, we identify two scheduling and resource allocation problems in cloud computing. We describe Hadoop MapReduce and its schedulers, and present recent research efforts in this area including alternative schedulers and enhancements to existing schedulers. The second scheduling problem is the provisioning of virtual machines to resources in the cloud. We present a survey of the different approaches to solve this resource allocation problem. We also include recent research and standards for inter-connecting clouds and discuss the suitability of running scientific applications in the cloud.
Video Metrology Using a Single Camera

This paper presents a video metrology approach using an uncalibrated single camera that is either stationary or in planar motion. Although theoretically simple, measuring the length of even a line segment in a given video is often a difficult problem. Most existing techniques for this task are extensions of single image-based techniques and do not achieve the desired accuracy especially in noisy environments. In contrast, the proposed algorithm moves line segments on the reference plane to share a common endpoint using the vanishing line information followed by fitting multiple concentric circles on the image plane. A fully automated real-time system based on this algorithm has been developed to measure vehicle wheelbases using an uncalibrated stationary camera. The system estimates the vanishing line using invariant lengths on the reference plane from multiple frames rather than the given parallel lines, which may not exist in videos. It is further extended to a camera undergoing a planar motion by automatically selecting frames with similar vanishing lines from the video. Experimental results show that the measurement results are accurate enough to classify moving vehicles based on their size.
2D1431 Machine Learning Lab 1: Concept Learning & Decision Trees

You have to prepare the solutions to the lab assignments prior to the scheduled labs, which are mainly for examination. In order to pass the lab you present your program and answers to the question to the assistent. Labs can be presented in groups of two, however both students need to fully understand the entire solution and answers. It is also assumed that you complete the assignment on your own and do not use parts of someone else’s code or solution. Violation of these rules may result in failing the entire course. Before you start this lab you should be familiar with programming in MATLAB. In particular you should understand how MATLAB performs matrix computations, simple graphics, simple programming constructs, functions and the help system in MATLAB. If you want to learn MATLAB or refresh your knowledge I recommend that you carefully study the online guide Practical Introduction to MATLAB (S.Gockenback, 1999) and the MATLAB Primer (Sigmon, 1993) to which you find links on the course webpage. In this lab you will use some predefined functions for building decision trees and analyzing their performance, but you will also have to program some computations yourself. During the examination with the lab assistent, you will not only present your results but also the code that you wrote. It is assumed that you are familiar with the basic concepts of decision trees and that you have read chapters 2 and 3 on concept learning and decision trees in the course book Machine Learning (Mitchell, 1997).
P2Y1 Receptor Activation Elicits Its Partition out of Membrane Rafts and Its Rapid Internalization from Human Blood Vessels: Implications for Receptor Signaling

The nucleotide P2Y1 receptor (P2Y1R) is expressed in both the endothelial and vascular smooth muscle cells; however, its plasma membrane microregionalization and internalization in human tissues remain unknown. We report on the role of membrane rafts in P2Y1R signaling by using sodium carbonate or OptiPrep sucrose density gradients, Western blot analysis, reduction of tissue cholesterol content, and vasomotor assays of endothelium-denuded human chorionic arteries. In tissue extracts prepared either in sodium carbonate or OptiPrep, approximately 20 to 30% of the total P2Y1R mass consistently partitioned into raft fractions and correlated with vasomotor activity. Vessel treatment with methyl β-cyclodextrin reduced the raft partitioning of the P2Y1R and obliterated the P2Y1R-mediated contractions but not the vasomotor responses elicited by either serotonin or KCl. Perfusion of chorionic artery segments with 100 nM 2-methylthio ADP or 10 nM [[(1R,2R,3S,4R,5S)-4-[6-amino-2-(methylthio)-9H-purin-9-yl] 2,3dihydroxybicyclo[3.1. 0]hex-1-yl]methyl] diphosphoric acid mono ester trisodium salt (MRS 2365), a selective P2Y1R agonist, not only displaced within 4 min the P2Y1R localization out of membrane rafts but also induced its subsequent internalization. 2′-Deoxy-N6-methyladenosine 3′,5′-bisphosphate tetrasodium salt (MRS 2179), a specific P2Y1R antagonist, did not cause a similar displacement but blocked the agonist-induced exit from rafts. Neither adenosine nor uridine triphosphate displaced the P2Y1R from the membrane raft, further evidencing the pharmacodynamics of the receptor-ligand interaction. Vascular reactivity assays showed fading of the ligand-induced vasoconstrictions, a finding that correlated with the P2Y1R exit from raft domains and internalization. These results demonstrate in intact human vascular smooth muscle the association of the P2Y1R to membrane rafts, highlighting the role of this microdomain in P2Y1R signaling.
VisSym’99: Joint EUROGRAPHICS – IEEE TCVG Symposium on Visualization

This work presents an extension of shell rendering that is more flexible and yields higher quality volume renderings. Shell rendering consists of efficient data-structures and methods to manipulate and render structures with non-precise boundaries in volume data. We have updated these algorithms by creating an implementation that makes effective use of ubiquitously available commercial graphics hardware. More significantly, we have extended the algorithm to make use of elliptical Gaussian splats instead of straightforward voxel projection. This dramatically increases the quality of the renderings, especially with anisotropically sampled volumes. The use of the graphics hardware alleviates the performance penalty of using splats.
Subband-Based Blind Separation for Convolutive Mixtures of Speech

We propose utilizing subband-based blind source separation (BSS) for convolutive mixtures of speech. This is motivated by the drawback of frequency-domain BSS, i.e., when a long frame with a fixed long frame-shift is used to cover reverberation, the number of samples in each frequency decreases and the separation performance is degraded. In subband BSS, (1) by using a moderate number of subbands, a sufficient number of samples can be held in each subband, and (2) by using FIR filters in each subband, we can manage long reverberation. We confirm that subband BSS achieves better performance than frequency-domain BSS. Moreover, subband BSS allows us to select a separation method suited to each subband. Using this advantage, we propose efficient separation procedures that consider the frequency characteristics of room reverberation and speech signals (3) by using longer unmixing filters in low frequency bands and (4) by adopting an overlap-blockshift in BSS's batch adaptation in low frequency bands. Consequently, frequency-dependent subband processing is successfully realized with the proposed subband BSS.
Noise Provides Some New Signals About the Spatial Vision of Amblyopes

Amblyopia results in a loss of contrast sensitivity and position acuity. Here we report the results of experiments using noise to try to better understand the nature of the neural losses in amblyopia. In the first experiment, we used noise to derive the template or classification image used to detect a target and to discriminate its position. We found that some amblyopic observers show markedly abnormal templates for the position task and moderately abnormal classification images for the detection task; however, the abnormal template could not fully account for the loss of performance (efficiency). Reduced efficiency in the amblyopic visual system may reflect a poorly matched template, a high fraction of internal to external noise, or both. Comparison of the observers' performance with that of their template suggests that the amblyopes have a high fraction of internal (relative to external) noise. To analyze the internal noise further, we used a “double-pass” technique, in which observers performed the identical experiment twice. The amount of disagreement between the two experiments provides another estimate of the fraction of internal noise. Amblyopes show a much higher fraction of stimulus-dependent internal noise than do normal observers. We conclude that the loss of efficiency in amblyopia is attributable in part to a poorly matched template, but to a greater degree, to a high fraction of internal (relative to external) noise.
Efficacy of inferior turbinate coblation for treatment of nasal obstruction

Abstract Objective: To determine the efficacy of inferior turbinate coblation for the treatment of nasal obstruction. Methods: Twenty patients awaiting submucosal diathermy to the inferior turbinates were recruited into the study. All underwent inferior turbinate coblation. Pre-operative and post-operative nasal function was investigated using posterior rhinomanometry and subjective symptom scales. Results: There was no significant increase in nasal conductance two weeks after inferior turbinate coblation (p = 0.159). However, three months after inferior turbinate coblation, median nasal conductance had increased significantly, from 203 to 324 cm3/s (p = 0.004). The median increase in nasal conductance was 73 cm3/s or 43.5 per cent. Post-operative visual analogue patients' reported post-operative visual analogue scales scores for nasal obstruction decreased significantly, both two weeks (p = 0.006) and three months after inferior turbinate coblation (p = 0.001) when compared to Pre-operative values. There was no change in the reported severity of rhinorrhoea, nasal itching or sneezing. There was a significant relationship (ρ = −0.57, p = 0.014) between pre-operative nasal conductance and change in nasal conductance after inferior turbinate coblation. Conclusions: This study confirms the short-term efficacy of inferior turbinate coblation for the treatment of nasal obstruction. The benefit was greatest in patients with lower pre-operative nasal conductance. Objective measures of nasal obstruction may be important when selecting patients for inferior turbinate coblation.
Comparison of Swendsen‐Wang and heat‐bath dynamics

We prove that the spectral gap of the Swendsen‐Wang process for the Potts model on graphs with bounded degree is bounded from below by some constant times the spectral gap of any single‐spin dynamics. This implies rapid mixing for the two‐dimensional Potts model at all temperatures above the critical one, as well as rapid mixing at the critical temperature for the Ising model. After this we introduce a modified version of the Swendsen‐Wang algorithm for planar graphs and prove rapid mixing for the two‐dimensional Potts models at all non‐critical temperatures. © 2012 Wiley Periodicals, Inc. Random Struct. Alg. , 42, 520–535, 2013