Miracle-dz/UniFAR-FTUs huggingface dataset:
HIGH-RESOLUTION MASS MODELS OF DWARF GALAXIES FROM LITTLE THINGS

We present high-resolution rotation curves and mass models of 26 dwarf galaxies from “Local Irregulars That Trace Luminosity Extremes, The H i Nearby Galaxy Survey” (LITTLE THINGS). LITTLE THINGS is a high-resolution (∼6″ angular; <2.6 km s−1 velocity resolution) Very Large Array H i survey for nearby dwarf galaxies in the local volume within 11 Mpc. The high-resolution H i observations enable us to derive reliable rotation curves of the sample galaxies in a homogeneous and consistent manner. The rotation curves are then combined with Spitzer archival 3.6 μm and ancillary optical U, B, and V images to construct mass models of the galaxies. This high quality multi-wavelength data set significantly reduces observational uncertainties and thus allows us to examine the mass distribution in the galaxies in detail. We decompose the rotation curves in terms of the dynamical contributions by baryons and dark matter (DM) halos, and compare the latter with those of dwarf galaxies from THINGS as well as ΛCDM Smoothed Particle Hydrodynamic (SPH) simulations in which the effect of baryonic feedback processes is included. Being generally consistent with THINGS and simulated dwarf galaxies, most of the LITTLE THINGS sample galaxies show a linear increase of the rotation curve in their inner regions, which gives shallower logarithmic inner slopes α of their DM density profiles. The mean value of the slopes of the 26 LITTLE THINGS dwarf galaxies is &agr; = − 0.32 ± 0.24 ? > which is in accordance with the previous results found for low surface brightness galaxies ( &agr; = − 0.2 ± 0.2 ? > ) as well as the seven THINGS dwarf galaxies ( &agr; = − 0.29 ± 0.07 ? > ). However, this significantly deviates from the cusp-like DM distribution predicted by DM-only ΛCDM simulations. Instead our results are more in line with the shallower slopes found in the ΛCDM SPH simulations of dwarf galaxies in which the effect of baryonic feedback processes is included. In addition, we discuss the central DM distribution of DDO 210 whose stellar mass is relatively low in our sample to examine the scenario of inefficient supernova feedback in low mass dwarf galaxies predicted from recent ΛCDM SPH simulations of dwarf galaxies where central cusps still remain.
M-health medical video communication systems: An overview of design approaches and recent advances

The emergence of the new, High Efficiency Video Coding (HEVC) standard, combined with wide deployment of 4G wireless networks, will provide significant support toward the adoption of mobile-health (m-health) medical video communication systems in standard clinical practice. For the first time since the emergence of m-health systems and services, medical video communication systems can be deployed that can rival the standards of in-hospital examinations. In this paper, we provide a thorough overview of today's advancements in the field, discuss existing approaches, and highlight the future trends and objectives.
Unconstrained Face Recognition Using a Set-to-Set Distance Measure on Deep Learned Features

Recently considerable efforts have been dedicated to unconstrained face recognition, which requires to identify faces “in the wild” for a set of images and/or video frames captured without human intervention. Unlike traditional face recognition that compares one-to-one media (either a single image or a video frame) only, we encounter a problem of matching sets with heterogeneous contents containing both images and videos. In this paper, we propose a novel set-to-set (S2S) distance measure to calculate the similarity between two sets with the aim to improve the recognition accuracy for faces with real-world challenges, such as extreme poses or severe illumination conditions. Our S2S distance adopts the kNN-average pooling for the similarity scores computed on all the media in two sets, making the identification far less susceptible to the poor representations (outliers) than traditional feature-average pooling and score-average pooling. Furthermore, we show that various metrics can be embedded into our S2S distance framework, including both predefined and learned ones. This allows to choose the appropriate metric depending on the recognition task in order to achieve the best results. To evaluate the proposed S2S distance, we conduct extensive experiments on the challenging set-based IJB-A face data set, which demonstrate that our algorithm achieves the state-of-the-art results and is clearly superior to the baselines, including several deep learning-based face recognition algorithms.
Experimental evidence for the influence of molecular crowding on nuclear architecture

Many compounds in the cell nucleus are structurally organized. To assess the influence of structural organization on nuclear function, we investigated the physical mechanisms of structure formation by using molecular crowding as a parameter for nuclear integrity. Molecular crowding promotes compaction of macromolecular compounds depending on their size and shape without the need for site-specific interactions. HeLa and MCF7 cells were incubated with hypertonic medium to increase crowding of their macromolecular content as a result of the osmotic loss of water. Supplementation of sucrose, sorbitol or NaCl to the growth medium shifted nuclear organization, observed by fluorescence and electron microscopy, towards compaction of chromatin and segregation of other nuclear compounds. With increasing hypertonic load and incubation time, this nuclear re-organization proceeded gradually, irrespective of the substances used, and reversibly relaxed to a regular phenotype upon re-incubation of cells in isotonic growth medium. Gradual and reversible re-organization are major features of controlled de-mixing by molecular crowding. Of fundamental importance for nuclear function, we discuss how macromolecular crowding could account for the stabilization of processes that involve large, macromolecular machines.
Optimal sequence-based LQG control over TCP-like networks subject to random transmission delays and packet losses

This paper addresses the problem of sequence-based controller design for Networked Control Systems (NCS), where control inputs and measurements are transmitted over TCP-like network connections that are subject to random transmission delays and packet losses. To cope with the network effects, the controller not only sends the current control input to the actuator, but also a sequence of predicted control inputs at every time step. In this setup, we derive an optimal solution to the Linear Quadratic Gaussian (LQG) control problem and prove that the separation principle holds. Simulations demonstrate the improved performance of this optimal controller compared to other sequence-based approaches.
Multivariate Statistical Analysis of Decathlon Performance Results in Olympic Athletes (1988-2008)

The performance results of the athletes competed in the 1988-2008 Olympic Games were analyzed (n = 166). The data were obtained from the IAAF official protocols. In the principal component analysis, the first three principal components explained 70% of the total variance. In the 1st principal component (with 43.1% of total variance explained) the largest factor loadings were for 100m (0.89), 400m (0.81), 110m hurdle run (0.76), and long jump (–0.72). This factor can be interpreted as the ‘sprinting performance’. The loadings on the 2nd factor (15.3% of the total variance) presented a counter-intuitive throwing-jumping combination: the highest loadings were for throwing events (javelin throwing 0.76; shot put 0.74; and discus throwing 0.73) and also for jumping events (high jump 0.62; pole vaulting 0.58). On the 3rd factor (11.6% of total variance), the largest loading was for 1500 m running (0.88); all other loadings were below 0.4. Keywords—Decathlon, principal component analysis, Olympic Games, multivariate statistical analysis.
Quantitative magnetic resonance imaging in temporal lobe epilepsy: Relationship to neuropathology and neuropsychological function

Magnetic resonance images (MRIs) were obtained from 25 patients with medically refractory epilepsy of temporal lobe origin (12 on the left, 13 on the right) and 14 right‐handed control subjects. The hippocampi and temporal lobes were traced by computer on successive coronal images and the resulting measurements of area were summed for each region. The left and right hippocampi were symmetrical in the control subjects; however, for patients the hippocampus was smaller on the side of the seizure focus. Moreover, the left‐right hippocampal ratio significantly differentiated the control subjects from each patient group. The left temporal lobe was significantly smaller than the right in control subjects. The epileptics' temporal lobes were smaller on the side of the seizure focus, compared to the temporal lobes in the control subjects. MRI hippocampal measurements were compared to hippocampal neuronal densities obtained postoperatively. Significant correlations were obtained between the ration (side ipsilateral to focus/side contralateral to focus) of MRI hippocampal measurements and neuronal densities in all hippocampal subfields except CA2. Prior to surgery, patients were administered the Wechsler Memory Scale and the verbal Selective Reminding Test. Significant correlations existed between MRI measurements of the left hippocampus and the Wechsler logical memory percent retention scores and between the left temporal lobe measurements and the verbal Selective Reminding Test scores for patients with seizure foci in the left temporal lobe.
Predicting Protein Ligand Binding Sites by Combining Evolutionary Sequence Conservation and 3D Structure

Identifying a protein's functional sites is an important step towards characterizing its molecular function. Numerous structure- and sequence-based methods have been developed for this problem. Here we introduce ConCavity, a small molecule binding site prediction algorithm that integrates evolutionary sequence conservation estimates with structure-based methods for identifying protein surface cavities. In large-scale testing on a diverse set of single- and multi-chain protein structures, we show that ConCavity substantially outperforms existing methods for identifying both 3D ligand binding pockets and individual ligand binding residues. As part of our testing, we perform one of the first direct comparisons of conservation-based and structure-based methods. We find that the two approaches provide largely complementary information, which can be combined to improve upon either approach alone. We also demonstrate that ConCavity has state-of-the-art performance in predicting catalytic sites and drug binding pockets. Overall, the algorithms and analysis presented here significantly improve our ability to identify ligand binding sites and further advance our understanding of the relationship between evolutionary sequence conservation and structural and functional attributes of proteins. Data, source code, and prediction visualizations are available on the ConCavity web site (http://compbio.cs.princeton.edu/concavity/).
Parental problem drinking, marital aggression, and child emotional insecurity: a longitudinal investigation.

OBJECTIVE Marital aggression plays an important role in relations between parental problem drinking and child maladjustment. The purpose of the current study was to apply emotional security theory as a framework for understanding the role of marital aggression. METHOD A community sample of 235 children in kindergarten participated once a year for 3 years. Parents completed measures of parental problem drinking and marital aggression, and children were interviewed about their emotional security reactions to marital conflict vignettes. RESULTS Greater parental problem drinking was directly associated with children's more negative emotional reactions to conflict. Maternal problem drinking predicted increased sad reactions and negative expectations for the future. Paternal problem drinking predicted increases in child anger reactions and negative expectations for the future. Parental problem drinking was also indirectly associated with child reactions via marital aggression. CONCLUSIONS Results confirmed hypotheses that parental problem drinking would be related to child emotional insecurity and that associations would be indirect via greater marital conflict. Findings are interpreted in terms of emotional security theory as a framework for understanding the effects of parental problem drinking on marital aggression and child development.
Rapid discrimination of Mycobacterium avium strains from AIDS patients by randomly amplified polymorphic DNA analysis

A randomly amplified polymorphic DNA (RAPD) analysis was performed for the molecular typing of Mycobacterium avium strains. This method was applied to epidemiologically unrelated M. avium strains isolated from the blood of 10 different AIDS patients and to strains that were considered epidemiologically related, as they had been isolated from the same patient but from different body locations (4 patients, 10 strains). Three oligonucleotide primers among the six tested were found to generate RAPD profiles with DNA from all M. avium strains and to successfully type them. This method for the typing of M. avium strains is rapid and easy to perform.
Use of Cystatin C and Serum Creatinine for the Diagnosis of Contrast-Induced Nephropathy in Patients Undergoing Contrast-Enhanced Computed Tomography at an Oncology Centre

Objective Our aim was to assess renal function using as laboratory measurements serum creatinine and cystatin C concentrations before and after administration of low-osmolarity (nonionic) iodinated contrast medium in patients with cancer undergoing computed tomography (CT). Methods This prospective study included 400 oncologic outpatients. Serum creatinine and cystatin C concentrations were measured before and 72 h after contrast administration. Glomerular filtration rates (GFRs) were estimated using serum creatinine–based [Modification of Diet in Renal Disease (MDRD) and Cockroft-Gault and cystatin C based (Larsson) equations. Exploratory data analysis was performed. The nonparametric Wilcoxon test was used to compare pre and post contrast of test results and estimated clearance. The confidence interval used in the analysis was 95%. Results Compared with the pre-contrast values, the mean serum creatinine concentration was significantly higher and average GFRs estimated using MDRD and Cockcroft-Gault equations were significantly lower after the administration of contrast (p <0.001). It was also observed a significant increase after contrast in the concentration of Cystatin C (p = 0.015). In addition, a decrease in GFR estimated using the average Larsson (p = 0.021) was observed between time points. However, none of the patients presented clinically significant nephropathy. Conclusions Assessment using serum creatinine and cystatin C concentrations showed changes in renal function among patients with cancer undergoing contrast-enhanced CT examination in this study. No significant renal damage related to the use of low-osmolarity iodinated contrast medium of the type and dosage employed in this study was observed. This contrast medium is thus safe for use in patients with cancer.
Sequence pair based voltage island floorplanning

In the nanometer era of VLSI design, high power consumption is considered to be a “show-stopper” for many applications. Voltage Island design has emerged as a popular method for addressing this issue. This technique requires multiple supply voltages on the same chip with blocks assigned to different supply voltages. Implementation challenges force blocks with similar supply voltages to be placed contiguous to one another, thereby creating “islands”. Classical floorplanners assume a single supply voltage in the entire SoC and thus require additional design steps to realize voltage islands. In this paper we present a new floorplanning algorithm based on the sequence pair representation that can floorplan blocks in the form of islands. Given the possible supply voltage choices for each block, the floorplanner simultaneously attempts to reduce power and area of the chip. Our floorplanner integrates the tasks of assigning blocks to different supply voltages and the placing of the blocks in the chip. Compared to previous work, the proposed floorplanner on average reduces the area overhead of the chip by 13.5% with 34% runtime improvement. Additionally we explore the tradeoff between power and area for different floorplan solutions.
Prevalence, Detection, and Management of the Metabolic Syndrome in Patients with Acute Myocardial Infarction: Role of an Obesity-Centric Definition

Background. We sought to determine and compare the prevalence of the Metabolic Syndrome (MS) in patients with acute myocardial infarction (AMI) utilizing the new International Diabetes Federation (IDF) definition with the older National Cholesterol Education Program (NCEP) definition. We also examined the clinical utility of MS in this context. Methods. A total of 107 consecutive patients with AMI were prospectively evaluated for MS. Fasting lipids obtained at admission and fasting glucose at discharge were used. A postdischarge folder audit verified rates of discharge coding and implementation of specific management strategies for MS. Results. Baseline patient characteristics included: mean age 59 ± 13 years; males 80%; diabetes 19%; mean BMI 29.7 ± 8.4 kg/m2. MS prevalence was 54% by the IDF definition and 49% by the NCEP definition, with good agreement between definitions: κ = 0.664, P < . 001. Factors predictive of MS after multivariate analysis included: hypertension, fasting glucose, waist circumference, and serum HDL (all P < .05). Despite the high prevalence, MS was recognized at discharge in only 1 patient, and referral for exercise and/or weight-loss programs was undertaken in 5 patients. Conclusion. There is a high prevalence of MS utilizing contemporary definitions in patients with AMI: 54% by the IDF definition and 49% by NCEP criteria. Despite the high prevalence, MS was under-recognized and under-treated in this population.
Valuing American Options by Simulation: A Simple Least-Squares Approach

This article presents a simple yet powerful new approach for approximating the value of American options by simulation. The key to this approach is the use of least squares to estimate the conditional expected payoff to the optionholder from continuation. This makes this approach readily applicable in path-dependent and multifactor situations where traditional finite difference techniqes cannot be used. We illustrate this technique with several realistic examples including valuing an option when the underlying asset follows a jump-diffusion process and valuing an American swaption in a 20-factor string model of the term structure.
Security of audio secret sharing scheme encrypting audio secrets with bounded shares

Secret sharing is a method of encrypting a secret into multiple pieces called shares so that only qualified sets of shares can be employed to reconstruct the secret. Audio secret sharing (ASS) is an example of secret sharing whose decryption can be performed by human ears. This paper examines the security of an audio secret sharing scheme encrypting audio secrets with bounded shares, and optimizes the security with respect to the probability distribution used in its encryption.
Pricing-Based Distributed Downlink Beamforming in Multi-Cell OFDMA Networks

We address the problem of downlink beamforming for mitigating the co-channel interference in multi-cell OFDMA networks. Based on the network utility maximization framework, we formulate the problem as a non-convex optimization problem subject to the per-cell power constraints, in which a general utility function of SINR is used to characterize the network performance. To solve the problem in a distributed fashion, we devise an algorithm based on the non-cooperative game with pricing mechanism. We give a sufficient condition for the convergence of the algorithm to the Nash equilibrium (NE). Moreover, to speed up the optimization of the beam-vectors at each cell, we derive an efficient algorithm to solve the KKT conditions at each cell. We provide extensive simulation results to demonstrate that the proposed distributed multi-cell beamforming algorithm converges to an NE point in just a few iterations with low information exchange overhead. Moreover, it provides significant performance gains, especially under the strong interference scenario, in comparison with several existing multi-cell interference mitigation schemes, such as the distributed interference alignment method.
Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers

We propose a Bayesian generalized low-rank regression model (GLRR) for the analysis of both high-dimensional responses and covariates. This development is motivated by performing searches for associations between genetic variants and brain imaging phenotypes. GLRR integrates a low rank matrix to approximate the high-dimensional regression coefficient matrix of GLRR and a dynamic factor model to model the high-dimensional covariance matrix of brain imaging phenotypes. Local hypothesis testing is developed to identify significant covariates on high-dimensional responses. Posterior computation proceeds via an efficient Markov chain Monte Carlo algorithm. A simulation study is performed to evaluate the finite sample performance of GLRR and its comparison with several competing approaches. We apply GLRR to investigate the impact of 1071 SNPs on top 40 genes reported by AlzGene database on the volumes of 93 regions of interest (ROI) obtained from Alzheimer’s Disease Neuroimaging Initiative (ADNI). Supplementary materials for this article are available online.
Enhancement of Crack Distribution of UHP-SHCC under Axial Tension Using Steel Reinforcement

Ultra High Performance-Strain Hardening Cementitious Composites (UHP-SHCC) are a composite material comprising a cement-based matrix and short fibers with outstanding mechanical and protective performance. Surface protection repair using a thin layer of UHP-SHCC to extend the service life of concrete structures has been proposed, and surface protec-tion performance associated with both a durable matrix and multiple fine cracks is required. This paper presents an ex-ample of decreased cracking ability and decreased strain capacity in UHP-SHCC specimens of a practical size. Note that, the small size dumbbell-shaped UHP-SHCC specimen can exhibit a large number of cracks and higher strain capacity. Also, this paper assesses the usage of a small amount of steel reinforcement in order to enhance the crack distribution and strain capacity of practical size UHP-SHCC specimens in tension. Practical-size specimen dimensions (cross sectional size: 200 x 50mm), which are similar to the typical size used for surface protection repair applications (depth of 30 to 70 mm), were selected in this study. Different reinforcement ratios ranging from 0.3% to 1.2% were used to evaluate the effect of the reinforcement ratio on the specimens' strain capacity and crack distribution.