Miracle-dz/UniFAR-FTUs huggingface dataset:
Post-silicon skew tuning algorithm utilizing setup and hold timing tests

This paper treats post-silicon skew tuning for improving performance yield under various delay variations, and proposes a novel PDE tuning algorithm which utilizes only the result of setup and hold timing tests, not the result of delay measurements. Our algorithm is based on “trial-and-error” approach, and it has a proper level of robustness against the variation of each PDE characteristics. As far as we know, this is the first systematic tuning algorithm whose termination is guaranteed for all chips including malfunctioning chips that have no feasible PDE setting. Simulation results show us that our tuning algorithm achieves yield improvement by around 50 points in percentage, while the loss (our algorithm fails to find a feasible PDE setting while the circuit has it (proven by ILP exact solution)) is kept up to 15 percent.
All-Cause, Stroke/Systemic Embolism–, and Major Bleeding-Related Health-Care Costs Among Elderly Patients With Nonvalvular Atrial Fibrillation Treated With Oral Anticoagulants

In this study, all-cause, stroke/systemic embolism (SE)-related, and major bleeding (MB)-related health-care costs among elderly patients with nonvalvular atrial fibrillation (NVAF) initiating treatment with different oral anticoagulants (OACs) were compared. Patients ≥65 years of age initiating OACs, including apixaban, rivaroxaban, dabigatran, and warfarin, were identified from the Humana Research Database between January 1, 2013, and September 30, 2015. Propensity score matching was used to separately match the different OAC cohorts with the apixaban cohort. All-cause health-care costs and stroke/SE-related and MB-related medical costs per patient per month (PPPM) were compared using generalized linear or 2-part regression models. Compared to apixaban, rivaroxaban was associated with significantly higher all-cause health-care costs (US$2234 vs US$1846 PPPM, P < .001) and MB-related medical costs (US$106 vs US$47 PPPM, P < .001), dabigatran was associated with significantly higher all-cause health-care costs (US$1980 vs US$1801 PPPM, P = .007), and warfarin was associated with significantly higher all-cause health-care costs (US$2386 vs US$1929 PPPM, P < .001), stroke/SE-related medical costs (US$42 vs US$18 PPPM, P < .001), and MB-related medical costs (US$132 vs US$51 PPPM, P < .001). Among elderly patients with NVAF, other OACs were associated with higher all-cause health-care costs than apixaban.
Responsiveness and validity of the Motor Activity Log in patients during the subacute phase after stroke

Purpose. To investigate the responsiveness and cross-sectional and longitudinal validity of the Motor Activity Log (MAL) in the subacute phase after stroke. Method. Data were collected pre-intervention, post-intervention, and at 3-month follow-up evaluations from 30 patients with stroke participating in a randomized trial of forced use. Assessments included MAL, the Fugl-Meyer test, the 16-hole peg test, grip strength, the Action Research Arm Test, and the Motor Assessment Scale. Measurements of responsiveness were effect size, standardized response mean (SRM), and responsiveness ratio (RR). Relationships between the MAL and the other measures were determined with Spearman correlations. Results. The MAL is responsive to change, with effect size, SRM, and RR > 1.0 at the 3-month follow-up, and SRM and RR > 1.0 at post-intervention. Correlations at the separate test occasions between MAL and the other measures were mostly close to 0.50, which shows fair to moderate construct validity. Correlations between changes in MAL and in the other measures were weaker than cross-sectional relationships. Conclusions. The MAL is a responsive measure of daily hand use in patients participating in rehabilitation in the subacute phase after stroke. Correlations of construct validity indicate that daily hand use may need to be measured separately from body function and activity capacity, in line with the underlying constructs of International Classification of Functioning, Disability and Health. To strengthen our findings, they should be repeated in larger samples of patients.
Scales and hierarchies in warped compactifications and brane worlds

Author(s): DeWolfe, O. ; Giddings, S. B. | Abstract: Warped compactifications with branes provide a new approach to the hierarchy problem and generate a diversity of four-dimensional thresholds. We investigate the relationships between these scales, which fall into two classes. Geometrical scales, such as thresholds for Kaluza-Klein, excited string, and black hole production, are generically determined solely by the spacetime geometry. Dynamical scales, notably the scale of supersymmetry breaking and moduli masses, depend on other details of the model. We illustrate these relationships in a class of solutions of type IIB string theory with imaginary self-dual fluxes. After identifying the geometrical scales and the resulting hierarchy, we determine the gravitino and moduli masses through explicit dimensional reduction, and estimate their value to be near the four-dimensional Planck scale. In the process we obtain expressions for the superpotential and Kahler potential, including the effects of warping. We identify matter living on certain branes to be effectively sequestered from the supersymmetry breaking fluxes: specifically, such "visible sector" fields receive no tree-level masses from the supersymmetry breaking. However, loop corrections are expected to generate masses, at the phenomenologically viable TeV scale.
Chaotic Analog-to-Information Conversion with Chaotic State Modulation

Chaotic compressive sensing is a nonlinear framework for compressive sensing. Along the framework, this paper proposes a chaotic analog-to-information converter, chaotic modulation, to acquire and reconstruct band-limited sparse analog signals at sub-Nyquist rate. In the chaotic modulation, the sparse signal is randomized through state modulation of continuous-time chaotic system and one state output is sampled as compressive measurements. The reconstruction is achieved through the estimation of the sparse coefficients with principle of chaotic impulsive synchronization and Lp-norm regularized nonlinear least squares. The concept of supreme local Lyapunov exponents (SLLE) is introduced to study the reconstructablity. It is found that the sparse signals are reconstructable, if the largest SLLE of the error dynamical system is negative. As examples, the Lorenz system and Liu system excited by the sparse multi-tone signals are taken to illustrate the principle and the performance.
Decimating samples for mesh simplification

Modern scanning devices allow to obtain a dense sample of discrete points from the surface of a physical object. A piecewise linear surface interpolating these points is com puted toreconstructhe sampled surface. Typically such surfaces have a large combinatorial description since the inpu t is usually too dense. In this paper we present an algorithm to decimate the samples to eliminate oversampling. The algorithm decimates the sample with the guarantee that the remaining points are sufficient to reconstruct the surface and has a density controlled by an user input.
Exploring Deep and Recurrent Architectures for Optimal Control

Sophisticated multilayer neural networks have achieved state of the art results on multiple supervised tasks. However, successful applications of such multilayer networks to control have so far been limited largely to the perception portion of the control pipeline. In this paper, we explore the application of deep and recurrent neural networks to a continuous, high-dimensional locomotion task, where the network is used to represent a control policy that maps the state of the system (represented by joint angles) directly to the torques at each joint. By using a recent reinforcement learning algorithm called guided policy search, we can successfully train neural network controllers with thousands of parameters, allowing us to compare a variety of architectures. We discuss the differences between the locomotion control task and previous supervised perception tasks, present experimental results comparing various architectures, and discuss future directions in the application of techniques from deep learning to the problem of optimal control.
LOGA: Local grouping architecture for self-healing femtocell networks

Self-healing functionality is developed to allow Self-Organizing Networks (SON) autonomously recover from outage. The dynamic topology and configurations of femtocell access points (femto APs) bring significant challenges for enabling self-healing functionality in femtocell networks. Observing that outage in femtocells only has local impacts, this paper proposes a local grouping architecture (LOGA). To recover from outage, LOGA forms the Inner Group to make reconfigurations of femtocells as local as possible. Furthermore, to prevent these reconfigurations from causing extra outages, LOGA sets additional constraints on the Outer Group, which consists of femtocells in the vicinity of the reconfigured femtocells. To properly form local groups in this architecture, a sequential grouping algorithm is proposed. Numerical results demonstrate that LOGA outperforms the existing self-healing scheme both in the number of reconfigured femtocells and in the recovered SINR.
CytoHiC: a cytoscape plugin for visual comparison of Hi-C networks

SUMMARY With the introduction of the Hi-C method new and fundamental properties of the nuclear architecture are emerging. The ability to interpret data generated by this method, which aims to capture the physical proximity between and within chromosomes, is crucial for uncovering the three dimensional structure of the nucleus. Providing researchers with tools for interactive visualization of Hi-C data can help in gaining new and important insights. Specifically, visual comparison can pinpoint changes in spatial organization between Hi-C datasets, originating from different cell lines or different species, or normalized by different methods. Here, we present CytoHiC, a Cytsocape plugin, which allow users to view and compare spatial maps of genomic landmarks, based on normalized Hi-C datasets. CytoHiC was developed to support intuitive visual comparison of Hi-C data and integration of additional genomic annotations. AVAILABILITY The CytoHiC plugin, source code, user manual, example files and documentation are available at: http://apps.cytoscape. org/apps/cytohicplugin
Methodology for Emulating Self Organizing Maps for Visualization of Large Datasets

The self-organizing map (SOM) methodology does vector quantization and clustering on the dataset, and then projects these clusters in a lower dimensional space, such as 2D map, by positioning similar clusters in locations that are spatially closer in the lower dimension space. This makes the SOM methodology an effective tool for data visualization. However, in a world where mined information from big data have to be available immediately, SOM becomes an unattractive tool because of its space and time complexity. In this paper, we propose an alternative visualization methodology for large datasets with clustering information without the speed and memory constraints inherent to SOM. To demonstrate the efficiency and the vast potential of the proposed scheme as a fast visualization tool, the methodology is used to cluster and project the 3,823 image samples of handwritten digits of the Optical Recognition of Handwritten Digits dataset.
Robust Joint Congestion Control and Scheduling for Time-Varying Multi-Hop Wireless Networks With Feedback Delay

Joint congestion control and link scheduling has been proposed as an approach to fair resource allocation in wireless networks. Existing solutions usually favor a distributed cross-layer deployment that requires timely communications among network components in seeking system stability and global optimum. However, this is unrealistic with feedback delay and channel capacity perturbation. The stability and efficiency of these algorithms face significant challenges. In this paper, we present a robust joint congestion control and scheduling algorithm, i.e., ROCS, for time-varying multi-hop mesh wireless networks with feedback delay, to bridge the gap between the existing approaches and the reality of wireless networks. The fundamental idea behind ROCS is capacity space projection, which combines the slow time scale part of the channel capacity and a margin estimated from the fast time scale part, to form a new capacity space. The resource allocation problem is formulated into a utility maximization framework over the newly generated capacity space. The problem is solved by a control algorithm consisting of link scheduling and congestion control. Link scheduling coordinates wireless link utilization, and congestion control allocates flow rates according to feedback information. Experiments conducted over simulated and real-world traces demonstrate that ROCS substantially achieves robustness and efficiency.
Mental health status of primary school children of Chittagong town

A total of 197 respondents (129 parents of boys and 68 parents of girls) constituted the sample of the study. To measure mental health status, Bengali version of (Mullick, 2001) Strength and Difficulties Questionnaire (SDQ) was used for the collection of data which was originally developed by Michael Rutter and Robert Goodman. Purposive sampling procedure was used for this purpose. The results showed that about 20.3% students had pro-social problem and 19.3% students were in borderline level in pro-social behavior. Only 0.5% students had Peer problems and 15.7% students were found at borderline level of this problem. About 6.6% students had hyperactivity problem and about 5.6% students were found at borderline level of this problem. About 1.5% students had Emotional symptom problem and 0.5% students were found at borderline level. About 19.3% students had conduct problem and 23.9% students were in borderline level of this problem. About 27.4% students were facing total difficulties problems and 38.1% students were in borderline level. In terms of above all mental health status, boys were found to have more problems than girls. But no significant differences were found between boys and girls at any dimension score or even total difficulties score. DOI: http://dx.doi. org/10.3329/cujbs.v6i1-2.17238 The Chittagong Univ. J. B. Sci.,Vol. 6(1&2):119-133, 2011
Building a corpus and testing speech recognition

Speech recognition is still a rapidly developing area of research. It is used for all kinds of applications. In this article a corpus will be build that consists of sentences collected in human-computer dialogs. The corpus will be created in a Wizard-of-Oz environment where the user has to perform several tasks in a virtual environment related to navigation. The raw audio collected in these experiments was transcribed and then recognized by a large vocabulary recognizer. The first recognition results indicate that using a large vocabulary recognizer with a standard language and acoustic model gives poor recognition. It is curious that the recognition performance differs greatly with different participants in the experiment. Possible future steps are testing the corpus with adapted acoustic or language models, or using it for evaluating other speech recognition systems.
INDICES CORRELATE WITH PHYSICAL ACTIVITY

The purpose of this study was to assess the effect of physical deconditioning on skeletal muscle’s oxidative metabolism as evaluated by phosphorus-31 magnetic resonance spectroscopy (P MRS). Twentyseven subjects without muscle disease, representing a wide range of fitness levels, were evaluated with P MRS. Spectra were obtained at rest and during recovery from in-magnet exercise. The data show a significant correlation between maximum resting metabolic equivalent (MET) score and the following P MRS recovery indices: adenosine diphosphate and phosphocreatine recovery half-time; initial phosphocreatine resynthesis rate; calculated estimation of mitochondrial capacity; pH at end of exercise; and phosphocreatine depletion. In addition, significant differences between the deconditioned and conditioned group were found for all of the aforementioned recovery indices. At rest, only the inorganic phosphate concentration was significantly different between the two groups. These data indicate that physical activity level should be taken into account when assessing patients’ oxidative metabolism with P MRS. © 2000 John Wiley & Sons, Inc. Muscle Nerve 23: 175–181, 2000 MUSCLE PHOSPHORUS MAGNETIC RESONANCE SPECTROSCOPY OXIDATIVE INDICES CORRELATE WITH PHYSICAL ACTIVITY M. CARMELA TARTAGLIA, BSc, 1 JACQUELINE T. CHEN, BSc, 1 ZOGRAFOS CARAMANOS, MA, 1 TANJA TAIVASSALO, BSc, 1 DOUGLAS L. ARNOLD, MD, 1 and ZOHAR ARGOV, MD 1,2 1 Magnetic Resonance Spectroscopy Unit, Montreal Neurological Institute & Hospital, 3801 University Street, Montreal, Quebec H3A 2B4, Canada 2 Department of Neurology, Hebrew University–Hadassah Medical School,
Information Sharing to Reduce Misperceptions of Interactions Among Complementary Projects: A Multi-Agent Approach

Agents who invest periodically in two complementary projects i and j try to minimize shortfall due to misperceptions concerning the interaction a between i and j. Previous studies have analytically solved such problems but they have been limited to two agents making one decision. We set out with the hypothesis of a large number of deciders sharing information with their nearest neighbors in order to improve the understanding of a. After each period of time, they exchange information on their real payoff values which enables them to choose the best neighbor expected perception of i i in order to minimize their shortfall. To model this situation, we used an agent-based approach and we considered that the payoff information transmission was more or less efficient depending on the difficulty to assess the real values or when agents voluntarily transfer wrong data to their neighbors. Our simulation results showed that the total shortfall of the network: i. ) declines in case of overestimation of a, ii. ) depends on the initial agent opinions about a, iii. ) evolves in two different curve morphologies, iv. ) is influenced by information quality and can express a high heterogeneity of final opinions and v. ) declines if the size of the neighborhood increases, which is a counterintuitive result.
Tenascin mediates cell attachment through an RGD-dependent receptor

Tenascin is an extracellular matrix glycoprotein expressed in association with mesenchymal-epithelial interactions during development and in the neovasculature and stroma of undifferentiated tumors. This selective expression of tenascin indicates a specific role in cell matrix interactions. We now show that tenascin can support the adhesion of a variety of cell types, including various human tumor cells, normal fibroblasts, and endothelial cells, all of which can attach to a substrate coated with tenascin. Detailed studies on the mechanism of the tenascin-promoted cell attachment were carried out with the human glioma cell line U251MG. The attachment of these cells and others to tenascin were inhibited specifically by peptides containing the RGD cell attachment signal. Affinity chromatography procedures similar to those that have been used to isolate other adhesion receptors yielded a heterodimeric cell surface protein which bound to a tenascin affinity matrix in an RGD-dependent fashion. One of the subunits of this putative tenascin receptor comigrates with the beta subunit of the fibronectin receptor in SDS-PAGE and cross reacts with antibodies prepared against the fibronectin receptor in immunoblotting. These results identify the tenascin receptor as a member of the fibronectin receptor family within the integrin superfamily of receptors. The cell attachment response on tenascin is distinctly different from that seen on fibronectin, suggesting that cell adhesion and motility may be modulated at those sites where tenascin is expressed in the extracellular matrix.
Feedforward compensation of resonant converters with heavy ripple in the DC bus for LED lamp driver applications

For reliability reasons, electrolytic capacitors are not recommended in electronic drivers for light emitting diodes (LEDs). This design constraint is difficult to fulfill, especially at medium to high-power levels. In this paper, the proposed driver is composed of two stages. The input stage is a low-cost valley-fill power factor corrector stage, which produces a DC-link voltage with a heavy ripple. The output stage is a phase-controlled LCpCs resonant converter. The effect of the voltage ripple on the output current is cancelled out by a feedforward action. The DC-link input voltage is sensed in order to shift the phase, Ψ, of the transistor drive signals of the converter. The fast dynamics of the resonant stage ensures an operation free of instabilities and flicker effects. A 120W prototype has been built to validate the design proposal.
Stereoelectronic and steric effects in side chains preorganize a protein main chain

Preorganization is shown to endow a protein with extraordinary conformational stability. This preorganization is achieved by installing side-chain substituents that impose stereoelectronic and steric effects that restrict main-chain torsion angles. Replacing proline residues in (ProProGly)7 collagen strands with 4-fluoroproline and 4-methylproline leads to the most stable known triple helices, having Tm values that are increased by > 50 °C. Differential scanning calorimetry data indicate an entropic basis to the hyperstability, as expected from an origin in preorganization. Structural data at a resolution of 1.21 Å reveal a prototypical triple helix with insignificant deviations to its main chain, even though 2/3 of the residues are nonnatural. Thus, preorganization of a main chain by subtle changes to side chains can confer extraordinary conformational stability upon a protein without perturbing its structure.
Electronic structure and charge transport in nonstoichiometric tantalum oxide

The atomic and electronic structure of nonstoichiometric oxygen-deficient tantalum oxide TaOx<2.5 grown by ion beam sputtering deposition was studied. The TaOx film content was analyzed by x-ray photoelectron spectroscopy and by quantum-chemistry simulation. TaOx is composed of Ta2O5, metallic tantalum clusters and tantalum suboxides. A method for evaluating the stoichiometry parameter of TaOx from the comparison of experimental and theoretical photoelectron valence band spectra is proposed. The charge transport properties of TaOx were experimentally studied and the transport mechanism was quantitatively analyzed with four theoretical dielectric conductivity models. It was found that the charge transport in almost stoichiometric and nonstoichiometric tantalum oxide can be consistently described by the phonon-assisted tunneling between traps.