Miracle-dz/UniFAR-FTUs huggingface dataset:
A 90-Gb/s 2:1 Multiplexer with 1-Tap FFE in SiGe Technology

A 2:1 multiplexer with built-in 1-tap FFE is designed in a SiGe technology with fT of 210 GHz and fMAX of 260 GHz. The FFE is implemented with a delay and a secondary selector. The circuit is able to equalize cable loss of up to 12 dB at 90 Gb/s and 14 dB at 80 Gb/s, while operating from a -3.3 V supply. Error-free operation of the MUX was verified with 231-1 PRBS up to 40 Gb/s, which is the limit of the available error detector.
Counteracting the Nogo Receptor Enhances Optic Nerve Regeneration If Retinal Ganglion Cells Are in an Active Growth State

Mature retinal ganglion cells (RGCs), like other CNS neurons, cannot regrow injured axons into a myelin-rich environment. If stimulated by macrophage-derived factors, however, RGCs can regenerate their axons for considerable distances through the distal optic nerve. Using this “sensitized background,” we investigated the effects of either increasing the expression or suppressing the activity of the Nogo receptor (NgR). NgR mediates the growth-inhibiting effects of three myelin proteins, Nogo, OMgp (oligodendrocyte-myelin glycoprotein), and MAG (myelin-associated glycoprotein). Transfecting growth-sensitized RGCs with adeno-associated viruses expressing a dominant-negative form of NgR (NgRDN) increased axon regeneration several-fold; however, when the growth program of RGCs was not activated, NgRDN expression had no beneficial effects. Overexpression of wild-type NgR blocked almost all regeneration from growth-sensitized RGCs and caused axons proximal to the lesion site to retract. We conclude that gene therapy is an effective approach to enhancing axon regeneration in the CNS and that inactivation of NgR functioning greatly enhances axon regeneration provided the intrinsic growth program of neurons is activated.
A Comparison Between Supervised and Unsupervised Models for Identify a Large Number of Categories

Large amount of categories with skewed category distribution over documents still not a closed question in the state-of-the-art technologies in automated text classification. In this paper we present a proof of concept for an automatic model of complaints screening, using text mining. Through a complaints link of the Office of the Comptroller General (CGU) site, citizens have access to a form to file their complaints. These complaints must be screened and delivered to one of 64 CGU's coordination by subject. Nowadays the complaints screening is done manually. Considering the complaints storage on the database now and the arrival of new complaints, combined with the time spent on manual sorting, the timely analysis of the reported occurrences it becomes increasingly difficult. We compare two approaches: supervised learning with classifiers algorithms and unsupervised leaning with topic modeling and text search. The best results were achieved using ranking based on the Huffman Tree algorithm. This proof of concept demonstrated the feasibility of automatic sorting without the loss of quality compared to manual sorting.
Organized Unidirectional Waves of ATP Hydrolysis within a RecA Filament

The RecA protein forms nucleoprotein filaments on DNA, and individual monomers within the filaments hydrolyze ATP. Assembly and disassembly of filaments are both unidirectional, occurring on opposite filament ends, with disassembly requiring ATP hydrolysis. When filaments form on duplex DNA, RecA protein exhibits a functional state comparable to the state observed during active DNA strand exchange. RecA filament state was monitored with a coupled spectrophotometric assay for ATP hydrolysis, with changes fit to a mathematical model for filament disassembly. At 37 °C, monomers within the RecA-double-stranded DNA (dsDNA) filaments hydrolyze ATP with an observed k cat of 20.8 ± 1.5 min−1. Under the same conditions, the rate of end-dependent filament disassembly (k off) is 123 ± 16 monomers per minute per filament end. This rate of disassembly requires a tight coupling of the ATP hydrolytic cycles of adjacent RecA monomers. The relationship of k cat to k off infers a filament state in which waves of ATP hydrolysis move unidirectionally through RecA filaments on dsDNA, with successive waves occurring at intervals of approximately six monomers. The waves move nearly synchronously, each one transiting from one monomer to the next every 0.5 s. The results reflect an organization of the ATPase activity that is unique in filamentous systems, and could be linked to a RecA motor function.
Access control with ONOS controller in the SDN based WLAN testbed

Nowadays, software-defined networking (SDN) has attracted a lot of interest. Therefore, many research works have introduced the new concepts and architecture to SDN-based network. However, most of existing research studies in wireless network area mainly introduce the theoretical concepts and face a difficulty to implement on the testbed. In addition, useful network applications with SDN controller is essential to improve SDN-based network. In order to overcome these limitations, we propose the access control mechanism on the SDN-based network by using SDN controller. Moreover, we introduce the system architecture and testbed for the proposed scheme. Therefore, we guarantee quality of service (QoS) for the high-priority user group and manage the WLAN AP dynamically.
A Joint Design for Topology and Security in MANETs with Cooperative Communications

Security is an important issue in mobile ad hoc networks (MANETs). However, security schemes have significant impacts on throughput. That is because 1) they need some overhead and consume some network resources, thus decrease throughput consequently, 2) most previous works consider security and throughput separately in designing a MANET, which can not achieve an overall optimization of network performance. In this paper, we propose a topology control scheme to improve throughput by jointly designing upper layer security schemes and physical layer schemes related to channel conditions and relay selections for cooperative communications. Simulation results show that our scheme can substantially improve throughput in MANETs.
The Art of Metric Embeddings — A technique oriented approach

During the last two decades, embeddings into finite metric spaces has emerged as an important are of research in both discrete mathematics and computer science. The powerful techniques underlying this research find numerous applications in the design and analysis of algorithms. In this survey, we try to cover the basic approach and techniques, as well as some of their applications. Unlike most surveys, we do not put as much emphasis on the results achieved in this burgeoning field. The reason is that metric embedding is such a wide domain that it seems impossible for us to present a comprehensive review in a short survey. Instead, we try to uncover the most essential ideas and techniques used in the field and relate them to similar methods used in other areas. We hope this approach would be useful to people who wish to understand why and how metric embeddings can yield so many deep and surprising results in algorithm design. This survey is in partial fulfillment of the requirements for the Ph.D. qualifying examination in computer science, HKUST The Hong Kong University of Science & Technology Ph.D Qualifying Exam Computer Science and Engineering
Modeling and Verifying Hybrid Dynamic Systems Using CheckMate

This article introduces a computational tool called CheckMate. CheckMate is a tool for modelling, prototyping, simulating specific situation and formally verifying hybrid dynamic systems based on the MATLAB/Simulink and Stateflow Toolbox from The MathWorks, Inc. This paper presents the elements of CheckMate from the user’s perspective and illustrates its features using a three dimensional linear system example. The theory underlying CheckMate is also reviewed briefly. More complete presentations of the theory can be found in [1-7].
Ending Extreme Poverty and Sharing Prosperity: Progress and Policies

With 2015 marking the transition from the Millennium to the Sustainable Development Goals, the international community can celebrate many development successes since 2000. Three key challenges stand out: the depth of remaining poverty, the unevenness in shared prosperity, and the persistent disparities in non-income dimensions of development. First, the policy discourse needs to focus more directly on the poorest among the poor. While pockets of ultra-poverty exist around the world, Sub-Saharan Africa is home to most of the deeply poor. To make depth a more central element in policy formulation, easy-to-communicate measures are needed, and this note attempts a step in this direction with person-equivalent measures of poverty. Second, the eradication of poverty in all of its forms requires steady growth of the incomes of the bottom 40 percent. Yet, economic growth, a key driver of shared prosperity, may not be as buoyant as before the global financial crisis. Third, unequal progress in non-income dimensions of development requires addressing widespread inequality of opportunity, which transmits poverty across generations and erodes the pace and sustainability of progress for the bottom 40. To meet these challenges, three ingredients are core to the policy agenda: sustaining broad-based growth, investing in human development, and insuring the poor and vulnerable against emerging risks.
Multicistronic Lentiviral Vector-Mediated Striatal Gene Transfer of Aromatic l-Amino Acid Decarboxylase, Tyrosine Hydroxylase, and GTP Cyclohydrolase I Induces Sustained Transgene Expression, Dopamine Production, and Functional Improvement in a Rat Model of Parkinson's Disease.

Parkinson's disease (PD) is a neurodegenerative disorder characterized by the selective loss of dopaminergic neurons in the substantia nigra. This loss leads to complete dopamine depletion in the striatum and severe motor impairment. It has been demonstrated previously that a lentiviral vector system based on equine infectious anemia virus (EIAV) gives rise to highly efficient and sustained transduction of neurons in the rat brain. Therefore, a dopamine replacement strategy using EIAV has been investigated as a treatment in the 6-hydroxydopamine (6-OHDA) animal model of PD. A self-inactivating EIAV minimal lentiviral vector that expresses tyrosine hydroxylase (TH), aromatic amino acid dopa decarboxylase (AADC), and GTP cyclohydrolase 1 (CH1) in a single transcription unit has been generated. In cultured striatal neurons transduced with this vector, TH, AADC, and CH1 proteins can all be detected. After stereotactic delivery into the dopamine-denervated striatum of the 6-OHDA-lesioned rat, sustained expression of each enzyme and effective production of catecholamines were detected, resulting in significant reduction of apomorphine-induced motor asymmetry compared with control animals (p < 0.003). Expression of each enzyme in the striatum was observed for up to 5 months after injection. These data indicate that the delivery of three catecholaminergic synthetic enzymes by a single lentiviral vector can achieve functional improvement and thus open the potential for the use of this vector for gene therapy of late-stage PD patients.
Wage Growth and Job Mobility in the U.K. And Germany

This paper investigates job mobility and estimates the returns to tenure and experience in the United Kingdom and Germany. We show evidence that job mobility is higher in the UK than in Germany, and that job movers may be negatively selected in Germany, but not in the UK. Our findings suggest that returns to experience are substantially higher in the UK. According to our estimates, ten years of labour market experience are associated with average wage returns of around 70 percent in the UK and 30 percent in Germany. Separate estimates for different qualification groups show that in Germany, it is the group of workers with apprenticeship training that is driving the low returns to labour market experience, while wages growth due to labour market experience is similar between the two countries for the other skill groups. Furthermore, returns to tenure are close to zero in both countries, while wage growth due to the macro trend is markedly higher in Germany.
The reddest ISO-2MASS quasar

Context. While there is growing consensus on the existence of numerous dust-enshrouded red quasars, their discovery and detailed exploration is still an observational challenge. In the course of the near-mid-infrared AGN search combining the 6.7 μm ISOCAM Parallel Survey and 2MASS we have discovered 24 type-1 quasars about a third of which are too red to be discriminated by optical/UV search techniques. Aims. Here we report on a detailed case study of the reddest type-1 quasar of our sample, 2MASS J23410667−0914327 (for short J2341) at redshift z = 0.236 with M_K = −25.8 and J − K_s = 1.95. This source has a very red optical appearance but lacks the far-infrared emission typically seen in known dust enshrouded AGN. Therefore we here explore its enigmatic nature. Methods. We performed spectroscopy in the optical with VLT/FORS1 and in the mid-infrared (5–38 μm) with the Spitzer Space Telescope as well as near-infrared (NIR) imaging with ISPI at the CTIO 4m-telescope. To explain the red optical continuum of the quasar we examine nuclear dust reddening of an intrinsically blue quasar continuum in combination with dilution by stellar light of the host galaxy. Results. The optical and NIR observations reveal a star forming emission-line galaxy at the same redshift as the quasar with a projected linear separation of 1". 8 (6.7 kpc). The quasar and its companion are embedded in diffuse extended continuum emission. Compared with its companion the quasar exhibits redder optical-NIR colours, which we attribute to hot nuclear dust. The mid-infrared spectrum shows only few emission lines superimposed on a power-law spectral energy distribution typically seen in type-1 AGN. However, the lack of strong far-infrared emission suggests that our potentially interacting object contains much less gas and dust and is in a stage different from dust reddened ULIRG-AGN like Mrk 231. The optical spectrum shows signatures for reddening in the emission-lines and no post-starburst stellar population is detected in the host galaxy of the quasar. The optical continuum emission of the active nucleus appears absorbed and diluted. Conclusions. Even the combination of absorption and host dilution is not able to match J2341 with standard quasar templates.While the BLR shows only a rather moderate absorption of E_(B−V) = 0.3, the continuum shorter than 4500 A requires strong obscuration with E_(B−V) = 0.7, clearly exceeding the constraints from the low upper limit on the silicate 9.7 μm absorption. This leads us to conclude that the continuum of the quasar J2341 is intrinsically redder than that of typical quasars.
Evaluation of speech inverse filtering techniques using a physiologically based synthesizer

Glottal inverse filtering methods are designed to derive a glottal flow waveform from a speech signal. In this paper, we evaluate and compare such methods using a speech synthesizer that simulates voice production in a physiologically-based manner that includes complexities such as nonlinear source-tract coupling. Five inverse filtering techniques are evaluated on 90 synthesized speech waveforms generated by setting six vowel configurations, three glottal models, and five fundamental frequencies. Using normalized mean square error as the primary performance metric of the estimated glottal flow derivative, results show that the accuracy of all methods depends on the configuration of the vocal tract, glottis and the fundamental frequency. Averaged over these conditions, the closed phase covariance and one weighted covariance algorithm yield lower error rates (0.41 ± 0.2) than iterative and adaptive inverse filtering (0.49 ± 0.1) and complex cepstrum decomposition (0.76 ± 0.1).
An Efficient Algorithm for Mining Maximal Frequent Item Sets

Problem Statement: In today's life, the mining of frequent patterns is a basic problem in data mining applications. The algorithms which are used to generate these frequent patterns must perform efficiently. The objective was to propose an effective algorithm which generates frequent patterns in less time. Approach: We proposed an algorithm which was based on hashing technique and combines a vertical tidset representation of the database with effective pruning mechanisms. It removes all the non-maximal frequent item-sets to get exact set of MFI directly. It worked efficiently when the number of item-sets and tid-sets is more. Results: The performance of our algorithm had been compared with recently developed MAFIA algorithm and the results show how our algorithm gives better performance. Conclusions: Hence, the proposed algorithm performs effectively and generates frequent patterns faster.
Power Signatures of High-Performance Computing Workloads

Workload-aware power management and scheduling techniques have the potential to save energy while minimizing negative impact on performance. The effectiveness of these techniques depends on the stability of a workload's power consumption pattern across different input data, resource allocations (e.g. number of cores), and hardware platforms. In this paper, we show that the power consumption behavior of HPC workloads can be accurately captured by concise signatures built from their power traces. We validate this approach using 255 traces collected from 13 high-performance computing workloads on 4 different hardware platforms. First, we use both feature-based and time-series-based distance metrics to cluster our traces, and we quantitatively show that feature-based clusterings segregate traces by workload just as effectively as the more compute- and space-intensive time-series-based clusterings. Second, we demonstrate that unlabeled traces can be classified by workload with over 85% accuracy, based only on these concise statistical signatures.
Personal Control, Social Problem-Solving and Social Adjustment in Obsessive-Compulsive Disorder

Different studies conducted among obsessive-compulsive disorder (OCD) patients explain the relevance of investigating social adjustment impairments due to its pervasiveness in a patient’s occupational, recreational and/or interpersonal functioning. Upon careful examination of the social adjustment contributing factors, both personal control and social problem-solving were identified as variables that influence the adjustment capacities in different clinical groups. Nevertheless, few studies have examined these variables among OCD patients. This study aimed to examine the relationship between the aforementioned factors in an OCD sample group (n=128) and a control group (n=235). The results showed that OCD patients exhibited more of an external locus of control than did the control group. OCD patients also demonstrated a significant impairment in overall social problem-solving skills compared to their control counterparts. Moreover, a negative problem orientation itself has been found to mediate the relationship between the locus of control and social adjustment. Overall, these results convey the importance of social problem-solving in understanding altered social functioning among OCD patients.
Motif-based searching in TOPS protein topology databases

MOTIVATION TOPS cartoons are a schematic ion of protein three-dimensional structures in two dimensions, and are used for understanding and manual comparison of protein folds. Recently, an algorithm that produces the cartoons automatically from protein structures has been devised and cartoons have been generated to represent all the structures in the structural databank. There is now a need to be able to define target topological patterns and to search the database for matching domains. RESULTS We have devised a formal language for describing TOPS diagrams and patterns, and have designed an efficient algorithm to match a pattern to a set of diagrams. A pattern-matching system has been implemented, and tested on a database derived from all the current entries in the Protein Data Bank (15,000 domains). Users can search on patterns selected from a library of motifs or, alternatively, they can define their own search patterns. AVAILABILITY The system is accessible over the Web at http://tops.ebi. ac.uk/tops
A tensor higher-order singular value decomposition for integrative analysis of DNA microarray data from different studies

We describe the use of a higher-order singular value decomposition (HOSVD) in transforming a data tensor of genes × “x-settings,” that is, different settings of the experimental variable x × “y-settings,” which tabulates DNA microarray data from different studies, to a “core tensor” of “eigenarrays” × “x-eigengenes” × “y-eigengenes. ” Reformulating this multilinear HOSVD such that it decomposes the data tensor into a linear superposition of all outer products of an eigenarray, an x- and a y-eigengene, that is, rank-1 “subtensors,” we define the significance of each subtensor in terms of the fraction of the overall information in the data tensor that it captures. We illustrate this HOSVD with an integration of genome-scale mRNA expression data from three yeast cell cycle time courses, two of which are under exposure to either hydrogen peroxide or menadione. We find that significant subtensors represent independent biological programs or experimental phenomena. The picture that emerges suggests that the conserved genes YKU70, MRE11, AIF1, and ZWF1, and the processes of retrotransposition, apoptosis, and the oxidative pentose phosphate pathway that these genes are involved in, may play significant, yet previously unrecognized, roles in the differential effects of hydrogen peroxide and menadione on cell cycle progression. A genome-scale correlation between DNA replication initiation and RNA transcription, which is equivalent to a recently discovered correlation and might be due to a previously unknown mechanism of regulation, is independently uncovered.
Feature Extraction of EEG Signal using Wavelet Transform

EEG signal analysis is such an important thing for disease analysis and brain–computer analysis. Using Electroencephalography (EEG) monitoring the state of the user’s brain functioning and treatment for any psychological disorder, where the difficulty in learning and comprehending the arithmetic exists and it could allow for analysis disease the user to train the corresponding brain. In this paper, we proposed a method for EEG signal processing includes signal de-noising, segmentation of de-noise signal using PCM and signal segments feature extraction done using wavelet as an alternative to the commonly used discrete Fourier transform (DFT). These feature classified using support vector machine classifier, Using the Matlab software proposed method accompanied.