Miracle-dz/UniFAR-FTUs huggingface dataset:
Advances in Brief Identification of Cellular TSG 1 O 1 Protein in Multiple Human Breast Cancer Cell Lines '

tsglOl was identified as a tumor susceptibifity gene by homozygous functional inactivation ofallelic loci mouse 3T3 fibroblasts. The human homologue was mapped at chromosome llplS. lâ€”2 and found to have intragenic deletion In 7 of 15 breast cancer specimens. To further confirm the relevance of defects in this gene to breast cancer, antibodies specific for the putative gene product were prepared and used to identify cellular TSG1O1 protein. The antibodies recognized a 46-kDa protein in human retinoblastoma WERI-27 cells labeled with [35S]methionine. This protein was not detected with preimmune sera, In cell fractionation studies, the 46-kDa protein cofractionating with glutathione S-transferase was found mainly in the cytoplasm. Similarly, when cells were Immunostained with anti-TSG1O1 antibodies, fluorescence was localized in the cytoplasm of most of the cells. A full-size 46-kDa TSG1O1 protein was detected in a panel of 10 breast cancer cell lines and 2 normal breast epithelial cell lines with the same antibodies. Consistently, the full-length TSGJOJ mRNA was also detected in these breast cells using reverse transcription-PCR. These results indicate that homozygous intragemc deletion of TSGJOJ is rare in breast cancer cells,
Maximum power entropy method for ecological data analysis

In ecology predictive models of the geographical distribution of certain species are widely used to capture the spatial diversity. Recently a method of Maxent based on Gibbs distribution is frequently employed to have reasonable accuracy of a target distribution of species at a site using environmental features such as temperature, precipitation, elevation and so on. It requires only presence data, which is a big advantage to the case where absence data is not available or unreliable. It also incorporates our limited knowledge into the model about the target distribution such that the expected values of environmental features are equal to the empirical average. Moreover, the visualization of the inhabiting probability of species is easily done with the aid of geographical coordination information from Global Biodiversity Inventory Facility (GBIF) in a statistical software R. However, the maximum entropy distribution in Maxent is derived from the Boltzmann-Gibbs-Shannon entropy, which causes unstable estim.
Cosmological and black hole spacetimes in twisted noncommutative gravity

We derive noncommutative Einstein equations for abelian twists and their solutions in consistently symmetry reduced sectors, corresponding to twisted FRW cosmology and Schwarzschild black holes. While some of these solutions must be rejected as models for physical spacetimes because they contradict observations, we find also solutions that can be made compatible with low energy phenomenology, while exhibiting strong noncommutativity at very short distances and early times.
THE SECOND-GENERATION GUIDE STAR CATALOG: DESCRIPTION AND PROPERTIES

The Guide Star Catalog II (GSC-II) is an all-sky database of objects derived from the uncompressed Digitized Sky Surveys that the Space Telescope Science Institute has created from the Palomar and UK Schmidt survey plates and made available to the community. Like its predecessor (GSC-I), the GSC-II was primarily created to provide guide star information and observation planning support for Hubble Space Telescope. This version, however, is already employed at some of the ground-based new-technology telescopes such as GEMINI, VLT, and TNG, and will also be used to provide support for the James Webb Space Telescope (JWST) and GAIA space missions as well as the Large Sky Area Multi-Object Fiber Spectroscopic Telescope, one of the major ongoing scientific projects in China. Two catalogs have already been extracted from the GSC-II database and released to the astronomical community. A magnitude-limited (RF = 18.0) version, GSC2.2, was distributed soon after its production in 2001, while the GSC2.3 release has been available for general access since 2007. The GSC2.3 catalog described in this paper contains astrometry, photometry, and classification for 945,592,683 objects down to the magnitude limit of the plates. Positions are tied to the International Celestial Reference System; for stellar sources, the all-sky average absolute error per coordinate ranges from 0. ″2 to 0. ″28 depending on magnitude. When dealing with extended objects, astrometric errors are 20% worse in the case of galaxies and approximately a factor of 2 worse for blended images. Stellar photometry is determined to 0.13–0.22 mag as a function of magnitude and photographic passbands (RF, BJ, IN). Outside of the galactic plane, stellar classification is reliable to at least 90% confidence for magnitudes brighter than RF = 19.5, and the catalog is complete to RF = 20.
A Crossover Intervention Trial Evaluating the Efficacy of a Chlorhexidine-Impregnated Sponge in Reducing Catheter-Related Bloodstream Infections among Patients Undergoing Hemodialysis

Background. Catheter-related bloodstream infections (CRBSIs) account for the majority of hemodialysis-related infections. There are no published data on the efficacy of the chlorhexidine-impregnated foam dressing at reducing the rate of CRBSI among patients undergoing hemodialysis. Design. A prospective, nonblinded, crossover intervention trial to determine the efficacy of a chlorhexidine-impregnated foam dressing to reduce the rate of CRBSI among patients undergoing hemodialysis. Setting. Two outpatient dialysis centers. Patients. A total of 121 patients who underwent dialysis through tunneled central venous catheters received the intervention during the trial. Methods. The primary outcome of interest was the incidence of CRBSI. A nested cohort study of all patients who received the chlorhexidine-impregnated foam dressing was also conducted. Backward stepwise logistic regression analysis was used to determine independent risk factors for development of CRBSI. Results. Thirty-seven CRBSIs occurred in the intervention group, for an incidence of 6.3 CRBSIs per 1,000 dialysis sessions, and 30 CRBSIs occurred in the control group, an incidence of 5.2 CRBSIs per 1,000 dialysis sessions (risk ratio, 1.22 [95% confidence interval {CI}, 0.75-1.97]; P = .46). The chlorhexidine-impregnated foam dressing was well tolerated, with only 2 patients (<2%) experiencing dermatitis that led to its discontinuation. The only independent risk factor for development of CRBSI was dialysis treatment at one dialysis center (adjusted odds ratio, 4.4 [95% CI, 1.77-13.65]; P = .002). Age of at least 60 years (adjusted odds ratio, 0.28 [95% CI, 0.09-0.82]; P = .02) was associated with lower risk of CRBSI. Conclusions. The use of a chlorhexidine-impregnated foam dressing did not decrease the incidence of CRBSI among patients with tunneled central venous catheters who were undergoing hemodialysis.
A review of audio Class D amplifiers

Class D amplifiers (CDAs) are increasingly ubiquitous as the audio power amplifier (loudspeaker driver) in audio devices due to their significantly higher power-efficiency compared to their linear counterparts. In this paper, a comprehensive review on the design of audio Class D amplifiers is provided, including a comparison of commonly used design architectures/modulation schemes. The key design parameters, including Total Harmonic Distortion, Power Supply Rejection Ratio, Intermodulation Distortion, are discussed and the design tradeoffs between these parameters delineated.
The Case for Thread Migration : Predictable IPC in a Customizable and Reliable OS

Synchronous inter-process communication (IPC) between threads is a popular mechanism for coordination in μ-kernels and component-based operating systems. Significant focus has been placed on its optimization, and consequently the efficiency of practical implementations approaches the lower limits set by hardware. This paper qualitatively compares the predictability properties of the synchronous IPC model with those of the migrating thread model. We assess the idealized communication models, and their practical implementations both in different versions of L4, and in the COMPOSITE component-based OS. We study three main factors – execution accounting, communication end-points, and system customizability – and discuss the trade-offs involved in each model. We make the case that the migrating thread model is as suitable as synchronous IPC, if not more so, in configurable systems requiring strict
Arousal, Mood, and The Mozart Effect

The “Mozart effect” refers to claims that people perform better on tests of spatial abilities after listening to music composed by Mozart. We examined whether the Mozart effect is a consequence of between-condition differences in arousal and mood. Participants completed a test of spatial abilities after listening to music or sitting in silence. The music was a Mozart sonata (a pleasant and energetic piece) for some participants and an Albinoni adagio (a slow, sad piece) for others. We also measured enjoyment, arousal, and mood. Performance on the spatial task was better following the music than the silence condition, but only for participants who heard Mozart. The two music selections also induced differential responding on the enjoyment, arousal, and mood measures. Moreover, when such differences were held constant by statistical means, the Mozart effect disappeared. These findings provide compelling evidence that the Mozart effect is an artifact of arousal and mood.
Development of Fuzzy Controller for Water Level in Stream Boiler Tank

Problem statement: The process control of steam boiler is very popula r used in the industrial. The temperature of the water is transferred directl y by electrical heater. The pressure will increase based on the changing of the temperature. The purpose of the control is to change the opening set point for the valve when the temperature and pressure in the tank are changed. For this problem, we develop fuzzy algorithm to adjust the optimal percentage of valve open. Approach: In this study, the fuzzy control application was programmed in fuzzy control language in form of the function block using structure control language. The input information consisted o f real variables in the form of measurable process variables, as well as set points. And the output va riables were real variables in the form of correcti ng variables. Results: The fuzzy control was developed, which consists of two input variables, the degree of temperature and pressure in boiler tank measured by sensor. For fuzzy system of water level control, the algorithm is basically implemented in form of the M ATLAB code. In the experiment, we assumed that the water level would not effect to the temperature and pressure. Conclusion: The research for the development of the fuzzy logic and the model was te sted with the step inputs and the changing of the inputs. The whole simulation process was built to t est the behavior of the system when the inputs chan ge.
CSP: Cluster-based Self-organizing Protocol for vehicular networks

Vehicle Communication (VC) represents an interesting item for both research and industry communities, since it supplies an efficient way to improve the transport quality. However, VC is confronted with a number of new challenges, in particular due to the extremely dynamic network topology and the large variable number of mobile nodes. To overcome these problems, an effective solution is to define a convenient and robust self-organizing architecture that facilitates the network management task and permits to deploy wide panoply of services In this paper, we propose CSP (Cluster-based Self-organizing Protocol), a proactive self-organizing protocol that structures intelligently the vehicular network by portioning roads into adjacent segments and where vehicles located in the same segment form one cluster. We compare our protocol to existing solutions and we analyze its performance using simulation and realistic mobility models.
SELF-DUAL CODES AND FIXED-POINT-FREE PERMUTATIONS OF ORDER 2

We construct new binary optimal self-dual codes of length 50. We develop a construction method for binary self-dual codes with a fixed-point-free automorphism of order 2. Using this method, we find new binary optimal self-dual codes of length 52. From these codes, we obtain Lee-optimal self-dual codes over the ring F2 + uF2 of lengths 25 and 26.
Randomly Optimized Grid Graph for Low-Latency Interconnection Networks

In this work we present randomly optimized grid graphs that maximize the performance measure, such as diameter and average shortest path length (ASPL), with subject to limited edge length on a grid surface. We also provide theoretical lower bounds of the diameter and the ASPL, which prove optimality of our randomly optimized grid graphs. We further present a diagonal grid layout that significantly reduces the diameter compared to the conventional one under the edge-length limitation. We finally show their applications to three case studies of off-and on-chip interconnection networks. Our design efficiently improves their performance measures, such as end-to-end communication latency, network power consumption, cost, and execution time of parallel benchmarks.
An Approach to Clustering and Sequencing of Textual Requirements

Natural language is often used to write software systems requirements. However, it may be prone to misunderstandings due to its ambiguities. Moreover, it is not easy to modularize these requirements and then find all related ones. In order to find out the impact of requirements in one another, it is necessary to look at every requirement rather than just a group of related requirements. When presented in large numbers, the understanding, organization and sequencing of requirements requires substantial time and effort. In this work, we introduce an approach based both on the clustering of textual requirements and on a data dictionary to organize them, as well as suggest a sequence for their implementation. A case study based on User Stories from Agile processes is introduced to illustrate the approach.
Stereo-motion estimation for visual object tracking

Visual object tracking is a problem that has been studied by the computer community for decades. Computational stereo refers to the problem of determining 3-dimentional structure of a scene from two or more images taken from distinct viewpoints. An approach to detect stereo-moving objects with bio-cameras is presented in this thesis. Stereo and motion are detected simultaneously under a modified formulation of energy function. We extend the application from static stereo match and motion mono-camera detection to handle the whole problem together at a time, which results in a reduction of computation time and ability to handle more difficult situation. Experiments on several video-images, that showing convictive object detecting performances demonstrate its strong adaptability to stereo-motion application.
Hyper-spectral microscopic discrimination between normal and cancerous colon biopsies

The spectral study of cancer dates back50 years, but it is still not known whether spectral measurements suffice to distinguish cancerous from normal tissue. An objecti ve approach to that question is designing automatic classifier s for discrimination between these two classes and then estimati ng generalization error rates. Previous studies have not esti mated errors adequately: it is not a priori clear whether unseen spectra from patients in the algorithm’s test set are sufficiently independent of the training data to provide a fair evaluation. We show experimentally that to obtain accurate error estimations,spectra from unseen patients are necessary. Our results suggest tha t although spectra are not sufficient to distinguish fully bet ween cancerous and normal tissue, some high degree of discrimina tion is possible. This leads us to ask how discriminatory spectra l features should be selected. The features in previous work o n cancer spectroscopy have been chosen according to heuristi c . We use the “best basis” algorithm to select a Haar wavelet pac ket basis which is optimal for the discrimination task at hand. These provide interpretable spectral features consisting of con tiguous wavelength bands. However they are outperformed by feature s which use information from all parts of the spectrum, combined linearly at random.
Women Pose Innocent Victims of Landmines in Postwar Iran

Background: Although in the last few years there has been an increasing attention to the problem of landmines, to date, the implications of women being victims of landmine has not been duly dealt with in the world including Iran, which is estimated to be the second most landmine infested country in the world. Still, provinces by the west border of Iran, 18 years after cessation of Iraq-Iran war suffer from the burden of vast areas, highly infested with landmines. This study aimed to provide a gender focused insight into landmine accidents in Iran Methods: In this retrospective study, women with documented deaths or injuries due to landmine and/or unexploded ordnances (UXO) explosions as documented in their medical records between Jul 1988 (after ceasefire) and Feb 2003 were studied in 5 western provinces of Iran. Data was analyzed by SPSS for Windows Version 11. P value under 0.05 was considered statistically significant Results: During the 14-year study period, 252 women from 5 western provinces of Iran were reported to have injuries or death due to landmine and UXOs. All of the victims were civilians and the majority of them (47.6%) had one or more amputations. Most of them were injured in the period between1994 and 1998. The majority of the patients were young. Conclusion: Women who should take care of themselves as well as their families are more prone to sufferings inflicted by landmines and UXO.
Effect of persistence on trend detection via regression

Trends in hydrologic sequences may be assessed in various ways. The coefficient of regression of flow on time may be used, particularly if the sequences are very long. Under the assumption of stationarity the variance of the regression coefficient is expressed as a function of sequence length and the autocorrelation coefficients of relevant order. Thus the variance inflation factor for assessing the statistical significance of estimated regression coefficients may be readily determined for any given stationary process. The variance inflation factor is determined for four stationary processes: independent, Markov, autoregressive‐moving average of order (1, 1), and fractional Gaussian noise. The effectiveness of prewhitening observed sequences with a Markov process is nearly the same whether the first order autocorrelation coefficient is known per se or through estimation.
Unplanned admissions and the organisational management of heart failure: a multicentre ethnographic, qualitative study

Objectives Heart failure is a common cause of unplanned hospital admissions but there is little evidence on why, despite evidence-based interventions, admissions occur. This study aimed to identify critical points on patient pathways where risk of admission is increased and identify barriers to the implementation of evidence-based interventions. Design Multicentre, longitudinal, patient-led ethnography. Setting National Health Service settings across primary, community and secondary care in three geographical locations in England, UK. Participants 31 patients with severe or difficult to manage heart failure followed for up to 11 months; 9 carers; 55 healthcare professionals. Results Fragmentation of healthcare, inequitable provision of services and poor continuity of care presented barriers to interventions for heart failure. Critical points where a reduction in the risk of current or future admission occurred throughout the pathway. At the beginning some patients did not receive a formal clinical diagnosis, in addition patients lacked information about heart failure, self-care and knowing when to seek help. Some clinicians lacked knowledge about diagnosis and management. Misdiagnoses of symptoms and discontinuity of care resulted in unplanned admissions. Approaching end of life, patients were admitted to hospital when other options including palliative care could have been appropriate. Conclusions Findings illustrate the complexity involved in caring for people with heart failure. Fragmented healthcare and discontinuity of care added complexity and increased the likelihood of suboptimal management and unplanned admissions. Diagnosis and disclosure is a vital first step for the patient in a journey of acceptance and learning to self-care/monitor. The need for clinician education about heart failure and specialist services was acknowledged. Patient education should be seen as an ongoing ‘conversation’ with trusted clinicians and end-of-life planning should be broached within this context.
Constellations for Imperfect Channel State Information at the Receiver

We consider the problem of digital communication in a Rayleigh flat fading environment using a multiple antenna system. We assume that the transmitter doesn’t know the channel coefficients, and that the receiver has only an estimate of them with some known estimation error. Inspired by the Stein’s lemma, we propose to use the Kullback-Leibler distance between distributions assigned to the transmitted symbols as a performance criterion. Using this performance criterion, we derive a design criterion based on maximizing the minimum KL distance between constellation points. As an example, we design constellations for a single transmit antenna system using the above criterion, and through simulation, show that the new constellations can provide a substantial improvement in the performance over existing and widely-used constellations.
04 06 00 3 v 1 3 1 M ay 2 00 4 IRAC Colors of Young Stellar Objects

We compare the infrared colors predicted by theoretical models of protostellar envelopes and protoplanetary disks with initial observations of young stellar objects made with the Infrared Array Camera (IRAC) on the Spitzer Space Telescope (Werner et al. 2004, Fazio et al. 2004). Disk and envelope models characterized by infall and/or accretion rates found in previous studies can quantitatively account for the range of IRAC colors found in four young embedded clusters: S 140, S 171, NGC 7129, and Cep C. The IRAC color-color diagram ([3.6]− [4.5] vs. [5.8]− [8.0]) can be used to help to distinguish between young stars with only disk emission and protostars with circumstellar envelopes. Subject headings: young stars: general — young stars: colors — young stars: disks
Importing MAGE-ML format microarray data into BioConductor

UNLABELLED The microarray gene expression markup language (MAGE-ML) is a widely used XML (eXtensible Markup Language) standard for describing and exchanging information about microarray experiments. It can describe microarray designs, microarray experiment designs, gene expression data and data analysis results. We describe RMAGEML, a new Bioconductor package that provides a link between cDNA microarray data stored in MAGE-ML format and the Bioconductor framework for preprocessing, visualization and analysis of microarray experiments. AVAILABILITY http://www.bioconductor. org. Open Source.
Design Issues for an Assistance Service with Force Feedback

This article analyzes and discusses problems related to the design of a force-feedback assistance service (FAS) for human-computer interfaces. FAS is a service which can be applied to human-computer interfaces which utilize a force-feedback pointing device, which guides the user’s hand in order to facilitate direct manipulation tasks: point, select, move and resize. The FAS uses artificial neural networks to adapt, in real-time, to the user’s task. In order to facilitate the design and understanding of the FAS, a physical metaphor was developed: that of the canter. It utilizes the inherent elements of classical direct manipulation, supplemented by metaphoric units to defme forces.