Miracle-dz/UniFAR-FTUs huggingface dataset:
Cross-talk immune VLSI design using a network of PLAs embedded in a regular layout fabric

We present a VLSI design methodology to address the cross-talk problem, which is becoming increasingly important in Deep Sub-Micron (DSM) IC design. In our approach, we implement the logic netlist in the form of a network of medium sized PLAs. We utilize two regular layout "fabrics" in our methodology, one for areas where PLA logic is implemented, and another for routing regions between such logic blocks. We show that a single PLA implemented in the first fabric style is not only cross-talk immune, but also about 2/spl times/ smaller and faster than a traditional standard cell based implementation of the same logic. The second fabric, utilized in the routing region between individual PLAs, is also highly cross-talk immune. Additionally, in this fabric, power and ground signals are essentially "pre-routed" all over the die. Our synthesis flow involves decomposing the design into a network of PLAs, each of which has a bounded width and height. The number of inputs and outputs of each PLA are flexible as long as the resulting PLA width is bounded. We perform folding of PLAs to achieve better logic density. Routing is performed using 2,3,4,5 and 6 routing layers. State-of-the-art commercial routing tools are utilized for the experiments involving the use of 3,4,5 and 6 routing layers. We have implemented the entire design flow using these ideas. Our scheme results in a reduction in the cross-talk between signal wires of between one and two orders of magnitude. As a result, for a 0.1 /spl mu/m process, the delay variation due to cross-talk dramatically drops from 2.47:1 to 1.02:1. Additionally, our methodology results in circuits that are extremely fast and dense, with a timing improvement of about 15% and an overall area penalty of about 3% compared to standard cells. The regular arrangement of metal conductors in our scheme results in low and highly predictable inductive and capacitive parasitics, resulting in highly predictable designs. The crosstalk immunity, high speed, low area overhead and high predictability of our methodology indicate that it is a strong candidate as the preferred design methodology in the DSM era.
Expression of TSG101 protein and LSF transcription factor in HPV-positive cervical cancer cells

Our previous study demonstrated a decreased expression of tumor susceptibility gene 101 (TSG101) in cervical cancer cells. To identify the mechanism responsible for TSG101 downregulation during cervical cancer development, we analyzed the TSG101 promoter using cis-element cluster finder software. One of the transcription factors whose binding site was detected in the TSG101 promoter was late SV40 factor (LSF). The aim of this study was to analyze the TSG101 protein and LSF expression levels during cervical cancer development. Immunohistochemical analysis confirmed a previously observed decreased expression of TSG101, whereas quantitative polymerase chain reaction (qPCR) and immunohistochemistry analysis revealed high expression of LSF in cervical, precancer and cancer cells compared with human papillomavirus (HPV)-negative non-cancer samples. High expression of LSF in cervical cancer HPV-positive cells suggests that this protein may be important in the regulation of TSG101 expression, as well as in cervical carcinogenesis. The role of LSF as a mediator in cervical cancer development must be confirmed in future studies.
Local identification of overcomplete dictionaries

This paper presents the first theoretical results showing that stable identification of overcomplete $\mu$-coherent dictionaries $\Phi \in \mathbb{R}^{d\times K}$ is locally possible from training signals with sparsity levels $S$ up to the order $O(\mu^{-2})$ and signal to noise ratios up to $O(\sqrt{d})$. In particular the dictionary is recoverable as the local maximum of a new maximisation criterion that generalises the K-means criterion. For this maximisation criterion results for asymptotic exact recovery for sparsity levels up to $O(\mu^{-1})$ and stable recovery for sparsity levels up to $O(\mu^{-2})$ as well as signal to noise ratios up to $O(\sqrt{d})$ are provided. These asymptotic results translate to finite sample size recovery results with high probability as long as the sample size $N$ scales as $O(K^3dS \tilde \varepsilon^{-2})$, where the recovery precision $\tilde \varepsilon$ can go down to the asymptotically achievable precision. Further, to actually find the local maxima of the new criterion, a very simple Iterative Thresholding and K (signed) Means algorithm (ITKM), which has complexity $O(dKN)$ in each iteration, is presented and its local efficiency is demonstrated in several experiments.
Persistent Linked Structures at Constant Worst-Case Cost 1

We present a method for making linked structures with nodes of in-degree not exceeding 1 partially persistent at a worst-case time cost of O(1) per access step and a worst-case time and space cost of O(1) per update step. The last two improve the best previous result, which gave O(1) amortized bounds on time and space. Our results extend to full persistence.
Associations Between Daily Mood States and Brain Gray Matter Volume, Resting-State Functional Connectivity and Task-Based Activity in Healthy Adults

Numerous studies have shown differences in the functioning in the areas of the frontal-limbic circuitry between depressed patients and controls. However, current knowledge on frontal-limbic neural substrates of individual differences in mood states in everyday life in healthy individuals is scarce. The present study investigates anatomical, resting-state, and functional neural correlates of daily mood states in healthy individuals. We expected to observe associations between mood and the frontal-limbic circuitry and the default-mode network (DMN). A total of 42 healthy adults (19 men, 23 women; 34 ± 1.2 years) regularly followed for behavior and psychosocial functioning since age of 6, underwent a functional magnetic resonance imaging scan, and completed a daily diary of mood states and related cognitions for 5 consecutive days. Results showed that individuals with smaller left hippocampal gray matter volumes experienced more negative mood and rumination in their daily life. Greater resting-state functional connectivity (rsFC) within the DMN, namely between posterior cingulate cortex (PCC) and medial prefrontal cortex regions as well as between PCC and precuneus, was associated with both greater negative and positive mood states in daily life. These rsFC results could be indicative of the role of the DMN regional functioning in emotional arousal, irrespective of valence. Lastly, greater daily positive mood was associated with greater activation in response to negative emotional stimuli in the precentral gyri, previously linked to emotional interference on cognitive control. Altogether, present findings might reflect neural mechanisms underlying daily affect and cognition among healthy individuals.
Oxidative stress and anti-oxidant defense system in Iranian women with polycystic ovary syndrome

Background: Polycystic ovary syndrome (PCOS) is a common disorder of infertility which affects more than 100 million women. It is characterized by chronic anovulation, hyper androgenism and obesity. PCOS is also associated with oxidative stress changes. Objective: Here, we aimed to investigate the level of antioxidants and oxidative stress in Iranian women with PCOS as a predictive factor for cardiovascular disease for the first time in Iran. Materials and Methods: In this cross sectional study 30 women with PCOS and 30 healthy women were included. C-reactive protein, serum insulin, advanced oxidation protein products, and level of total antioxidants status were measured from blood samples. Results: The levels of serum insulin, C-reactive protein, advanced oxidation protein productswere significantly increased in women with PCOS compared with healthy women but there was a decrease in level of total antioxidants status in PCOS women. Conclusion: These changes show that oxidative stress contributes to PCOS and the decrease of antioxidants leads to increase of oxidation products contributing to PCOS.
Novel Virostatic Agents against Bluetongue Virus

Bluetongue virus (BTV), a member in the family Reoviridae, is a re-emerging animal disease infecting cattle and sheep. With its recent outbreaks in Europe, there is a pressing need for efficacious antivirals. We presented here the identification and characterization of a novel virostatic molecule against BTV, an aminothiophenecarboxylic acid derivative named compound 003 (C003). The virostatic efficacy of C003 could be improved via chemical modification, leading to a de novo synthesized compound 052 (C052). The 50% effective concentrations (EC50) of C003 and C052 were determined at 1.76±0.73 µM and 0.27±0.12 µM, respectively. The 50% cytotoxicity concentration (CC50) of C003 was over 100 µM and the CC50 of C052 was at 82.69 µM. Accordingly, the 50% selective index (SI50) of C003 and C052 against BTV was over 57 and 306, respectively. The inhibitory effect of C003/C052 on BTV-induced apoptosis was also confirmed via the inhibition of caspase-3/-7 activation post BTV infection. C003/C052 could inhibit BTV induced CPE even when added as late as 24 h.p.i. , indicating that they might act at late stage of viral life-cycle. C003/C052 could reduce over two-logs of both the progeny virus production and the number of genomic viral RNA copies. Interestingly, both the activation of host autophagy and viral protein expression were inhibited post BTV infection when cells were treated with C003 and C052, suggesting that C003/C052 might act as virostatic agents via inhibiting host autophagy activation. Although further investigations might be needed to pin down the exact mechanism of C003/C052, our finding suggested that these compounds might be potent lead compounds with potential novel mechanism of action against BTV.
Virtual environments for shipboard firefighting training

A virtual environment (VE) of portions of the ex-USS Shadwell, the Navy's full-scale fire research and test ship, has been developed to study the feasibility of using immersive VE as a tool for shipboard firefighting training and mission rehearsal. The VE system uses a head-mounted display and 3D joystick to allow users to navigate through and interact with the environment. Fire and smoke effects are added to simulate actual firefighting conditions. This paper describes the feasibility tests that were performed aboard the Shadwell and presents promising results of the benefits of VE training over conventional training methods.
CentralMatch: A Fast and Accurate Method to Identify Blog-Duplicates

A group of documents is called near-duplicates if they are almost the same with just a slight difference. Since near-duplicates are major concerns of Web search engines, it is necessary to identify and filter them effectively. Among existing near-duplicate identification methods, MinHashing is the most well-known one. It identifies near-duplicates regardless of locations of different parts in two documents. In blog environment, however, most near-duplicates differ only in their beginning or end. According to our preliminary experiment, about 99% of near-duplicates differ in the beginning or end (blog-duplicates hereafter) and only 1% of them differ in the middle. Thus, blog-duplicates have a long matched sequence in their central parts. Based on this important observation, we present a novel algorithm, Central Match, to identify blog-duplicates efficiently and accurately. When searching a document database for possible log-duplicates of a given document, Central Match runs50 times faster than MinHashing. In addition, Central Match identifies blog-duplicates more accurately than MinHashing. According to our experiments, when the precisions of Min-Hashing and Central Match are fixed to 0.9, their recalls are around 0.5 and 0.9, respectively, which means Central Match finds 80% more blog-duplicates than MinHashing.
Distributed workload and response time management for web applications

Managing workload for large scale web applications is a fundamental task for satisfactory quality of service, low management and operation cost. In this paper, we present SCOPS, a system of distributed workload management to achieve service differentiation and overload protection in such large scale deployment. Our system splits the workload management logic into distributed components on each back-end server and front-end proxy. The control solution is designed to protect the backend server from overloading and to achieve both efficient usage of system resource and service differentiation by employing a unique optimization target. The control components are automatically organized based on the flow of workloads, such that management overhead is minimized. SCOPS is extremely flexible because it requires no source code changes to host OS, application servers, or web applications. Additionally, the distributed design makes it scalable and robust for cloud scale server deployment. Experiments with our implementation confirm SCOPS's performance with dynamic heavy workload, incurring neglectable runtime overhead. More importantly, SCOPS also ensures fault-tolerance and fast convergence to system failures.
Cultural heritage omni-stereo panoramas for immersive cultural analytics — From the Nile to the Hijaz

The digital imaging acquisition and visualization techniques described here provides a hyper-realistic stereoscopic spherical capture of cultural heritage sites. An automated dualcamera system is used to capture sufficient stereo digital images to cover a sphere or cylinder. The resulting stereo images are projected undistorted in VR systems providing an immersive virtual environment in which researchers can collaboratively study the important textural details of an excavation or historical site. This imaging technique complements existing technologies such as LiDAR or SfM providing more detailed textural information that can be used in conjunction for analysis and visualization. The advantages of this digital imaging technique for cultural heritage can be seen in its non-invasive and rapid capture of heritage sites for documentation, analysis, and immersive visualization. The technique is applied to several significant heritage sites in Luxor, Egypt and Saudi Arabia.
A Comparative Study of Load Balancing Algorithms in Computational Grid Environment

Grids are a form of distributed computing whereby a 'super virtual computer' is composed of many networked loosely coupled computers acting together to perform very large tasks. This technology has been applied to computationally intensive scientific, mathematical and academic problems through volunteer computing, and it is used in commercial enterprises for many diverse applications. Computational grid provides resource sharing through multiinstitutional virtual organizations for dynamic problem solving. Load balancing is an important property in grid computing as the load scenarios of individual grid resources are dynamic in nature. In order to make computational grids more effective and reliable, balanced load across the grid is necessary. The objective of this paper is to review different existing load balancing algorithms or techniques applicable in grid computing. This paper also proposes an algorithm to solve the prevailing problem of dynamic load balancing with respect to deadline of job submitted by the clients.
A robust dead-reckoning pedestrian tracking system with low cost sensors

The emergence of personal mobile device with low cost sensors, such as accelerometer and digital compass, has made dead-reckoning (DR) an attractive choice for indoor pedestrian tracking. In this paper, we propose a robust DR pedestrian tracking system on top of such commercially accessible sensor sets capable of DR. The proposed method exploits the fact that, multiple DR systems, carried by the same pedestrian, have stable relative displacements with respect to the center of motion, and therefore to each other. We first formulate the robust tracking task as a generalized maximum a posteriori sensor fusion problem, and then we narrow it to a simple computation procedure with certain assumptions. A prototype is implemented and evaluated with a benchmark system that collects ground truth efficiently and accurately. In a practical indoor testbed, the proposed scheme has exhibited robust tracking performance, with reduction in average tracking error up to 73.7%, compared to traditional DR tracking methods.
The Potential Benefits of Targeted Attentional Bias Modification on Cognitive Arousal and Sleep Quality in Worry-Related Sleep Disturbance

Attentional bias for sleep-related negative information is believed to contribute to symptoms of insomnia by elevating arousal during the presleep period. In the present study, we examined whether the delivery of an attentional bias modification (ABM) procedure in the presleep period could produce transient benefits for sleep-disturbed individuals by reducing presleep cognitive arousal and improving ease of sleep onset. In a counterbalanced repeated A-B design, participants alternated completing an ABM training task and a nontraining control task across six nights and reported on presleep cognitive arousal and sleep onset latency. Significant reductions in presleep cognitive arousal and sleep onset latency were observed on nights where the ABM task was completed relative to nights where the control task was completed. These results suggest that delivery of ABM can attenuate cognitive arousal and sleep onset latency and highlights the possibility that targeted delivery of ABM could deliver real-world benefits for sleep-disturbed individuals.
THE STRUCTURAL BASIS OF CILIARY BEND FORMATION

The sliding microtubule model of ciliary motility predicts that cumulative local displacement (Δl) of doublet microtubules relative to one another occurs only in bent regions of the axoneme. We have now tested this prediction by using the radial spokes which join the A subfiber of each doublet to the central sheath as markers of microtubule alignment to measure sliding displacements directly. Gill cilia from the mussel Elliptio complanatus have radial spokes lying in groups of three which repeat at 860 Å along the A subfiber. The spokes are aligned with the two rows of projections along each of the central microtubules that form the central sheath. The projections repeat at 143 Å and form a vernier with the radial spokes in the precise ratio of 6 projection repeats to 1 spoke group repeat. In straight regions of the axoneme, either proximal or distal to a bend, the relative position of spoke groups between any two doublets remains constant for the length of that region. However, in bent regions, the position of spoke groups changes systematically so that Δl (doublet 1 vs. 5) can be seen to accumulate at a maximum of 122 Å per successive 860-Å spoke repeat. Local contraction of microtubules is absent. In straight regions of the axoneme, the radial spokes lie in either of two basic configurations: (a) the parallel configuration where spokes 1–3 of each group are normal (90°) to subfiber A, and (b) the tilted spoke 3 configuration where spoke 3 forms an angle (θ) of 9–20°. Since considerable sliding of doublets relative to the central sheath (∼650 Å) has usually occurred in these regions, the spokes must be considered, functionally, as detached from the sheath projections. In bent regions of the axoneme, two additional spoke configurations occur where all three spokes of each group are tilted to a maximum of ± 33° from normal. Since the spoke angles do not lie on radii through the center of bend curvature, and Δl accumulates in the bend, the spokes must be considered as attached to the sheath when bending occurs. The observed radial spoke configurations strongly imply that there is a precise cycle of spoke detachment-reattachment to the central sheath which we conclude forms the main part of the mechanism converting active interdoublet sliding into local bending.
Self-Organizable P2P Document Search Engine for Knowledge Management

Locating contents is an essential function, but it presents a very diAEcult and challenging problem for large-scale Peer-to-Peer (P2P) systems. Many P2P systems, protocols, architectures, and search strategies are proposed for this problem. In this paper, we focus on the selforganization of a community structure based on user preferences for P2P systems. We propose these methods to improve P2P search performance: 1) Extended Pong, 2) Pong Proxy, 3) QRP with Firework 4) Backward Learning, and 5) Community Self-Organization Algorithm. We evaluate the performance of the self-organized community network through simulations. These results show that the self-organized community network maintains a high query hit rate without over ow. As an example of implementation, we propose the Self-Organizable P2P Search Engine.
New Researches about Dominant Color Descriptor and Graph Edit Distance

Dominant color descriptor(DCD) is one of the color descriptors defined in MPEG-7. It is always used for image classification, but its performance is greatly limited by the lack of spatial color distribution information and the color accuracy problem. In this paper, a new representative color extraction algorithm based on MPEG-7, and an improved graph representation method based on graph edit distance are outlined. The experimental results have showed that these improvements are effective.
Utilizing artificial skin for direct physical interaction

Focusing on the development of flexible robots for industrial and household environments, we identify intuitive teaching as the key feature and direct physical interaction and guidance as the most important interface. In the current work we introduce a multi redundant robotic assistant equipped with a touch sensitive skin around the upper- and the forearm, in order to incorporate contact forces into the arm control. A context-sensitive interpretation of the contact forces is being used to guide the attention of the robot, to avoid obstacles and to move the robot arm directly by the human operator.
Splitting and merging components of a nonconjugate Dirichlet process mixture model

Abstract. The inferential problem of associating data to mixture components is difficult when components are nearby or overlapping. We introduce a new split-merge Markov chain Monte Carlo technique that efficiently classifies observations by splitting and merging mixture components of a nonconjugate Dirichlet process mixture model. Our method, which is a Metropolis-Hastings procedure with split-merge proposals, samples clusters of observations simultaneously rather than incrementally assigning observations to mixture components. Split-merge moves are produced by exploiting properties of a restricted Gibbs sampling scan. A simulation study compares the new split-merge technique to a nonconjugate version of Gibbs sampling and an incremental MetropolisHastings technique. The results demonstrate the improved performance of the new sampler.
Fine structure of Choptuik's mass scaling relation

We conjecture (analytically) and demonstrate (numerically) the existence of a fine-structure above the power-law behavior of the mass of black-holes that form in gravitational collapse of spherical massless scalar field. The fine-structure is a periodic function of the critical-separation $(p-p^*)$. We predict that the period $\varpi$ is {\it universal} and that it depends on the previous universal parameters, the critical exponent, $\beta$, and the echoing period $\Delta$ as $\varpi = \Delta /\beta$.