Miracle-dz/UniFAR-FTUs huggingface dataset:
Distinct Regions of Right Temporal Cortex Are Associated with Biological and Human–Agent Motion: Functional Magnetic Resonance Imaging and Neuropsychological Evidence

In human lateral temporal cortex, some regions show specific sensitivity to human motion. Here we examine whether such effects reflect a general biological–nonbiological organizational principle or a process specific to human–agent processing by comparing processing of human, animal, and tool motion in a functional magnetic resonance imaging (fMRI) experiment with healthy participants and a voxel-based lesion-symptom mapping (VLSM) study of patients with brain damage (77 stroke patients). The fMRI experiment revealed that in the lateral temporal cortex, the posterior superior temporal sulcus shows a preference for human and animal motion, whereas the middle part of the right superior temporal sulcus/gyrus (mSTS/STG) shows a preference for human and functional tool motion. VLSM analyses also revealed that damage to this right mSTS/STG region led to more severe impairment in the recognition of human and functional tool motion relative to animal motion, indicating the causal role of this brain area in human–agent motion processing. The findings for the right mSTS/STG cannot be reduced to a preference for articulated motion or processing of social variables since neither factor is involved in functional tool motion recognition. We conclude that a unidimensional biological–nonbiological distinction cannot fully explain the visual motion effects in lateral temporal cortex. Instead, the results suggest the existence of distinct components in right posterior temporal cortex and mSTS/STG that are associated, respectively, with biological motion and human–agent motion processing.
Human Motion Planning Based on Recursive Dynamics and Optimal Control Techniques

This paper presents an efficient optimal control and recursive dynamics-based computer animation system for simulating and controlling themotion of articulated figures. A quasi-Newton nonlinear programmingtechnique (super-linear convergence) is implemented to solve minimumtorque-based human motion-planning problems. The explicit analyticalgradients needed in the dynamics are derived using a matrix exponentialformulation and Lie algebra. Cubic spline functions are used to make thesearch space for an optimal solution finite. Based on our formulations,our method is well conditioned and robust, in addition to beingcomputationally efficient. To better illustrate the efficiency of ourmethod, we present results of natural looking and physically correcthuman motions for a variety of human motion tasks involving open andclosed loop kinematic chains.
Cultural trends and eating disorders

Purpose of review Culture has long been recognized as significant to the cause and expression of eating disorders. We reviewed the recent literature about recent trends in the occurrence of eating disorders in different cultures. Recent findings While historically, eating disorders were conceptualized as primarily afflicting Caucasian adolescent or young adult women within high-income, industrialized Western Europe and North America, eating disorders are increasingly documented in diverse countries and cultures worldwide. This study highlights recent trends that reflect the changing landscape of culture and eating disorders: stabilization of the incidence of anorexia nervosa and possibly lower incidence rates of bulimia nervosa in Caucasian North American and Northern European groups; increasing rates of eating disorders in Asia; increasing rates of eating disorders in the Arab region; and increasing rates of binge eating and bulimia nervosa in Hispanic and Black American minority groups in North America. Summary The changing face of eating disorders calls for a new conceptualization of culture in both the emergence and spread of eating disorders across the globe.
Comparison of cervical vertebral separation in the supine and seated positions using home traction units

This study was performed for the purpose of comparing the magnitude of cervical vertebral separation during cervical traction in supine and seated positions using home traction units. A repeated measures design with two within-subject factors (type of traction and time) was used. Seventeen asymptomatic volunteers received cervical traction in seated and supine position. Subjects received 5 minutes of static traction in sitting or supine using a force of 13.6 kg while in 15 degrees of neck flexion. A lateral radiograph of the cervical spine was taken before traction force was applied and after five minutes of static traction. Anterior and posterior distances between the inferior border of C2 and the superior border of C7 were measured by a radiologist. After supine traction there were significant increases (p=0.001) in posterior cervical vertebral separation compared to any changes after seated traction. There were no significant changes in anterior vertebral separation during either supine or seated traction positions (p=0.769). Supine cervical traction may be more effective for increasing posterior vertebral separation than seated cervical traction.
Method on fast DOA estimation of moving nodes in ad-hoc network

In this paper, a new algorithm to fast estimate moving nodes in ad-hoc network was proposed. Instead of the independent estimation at different time of the conditional DOA algorithms, we take full use of the previous results to provide the latter information on the DOA of the nodes, which could greatly speed up the following estimations. Therefore, the algorithm could keep up with the moving nodes more quickly. Simulation results showed the new method was timesaving.
International standards to document remaining autonomic function after spinal cord injury

Abstract This is the first guideline describing the International Standards to document remaining Autonomic Function after Spinal Cord Injury (ISAFSCI). This guideline should be used as an adjunct to the International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) including the ASIA Impairment Scale (AIS), which documents the neurological examination of individuals with SCI. The Autonomic Standards Assessment Form is recommended to be completed during the evaluation of individuals with SCI, but is not a part of the ISNCSCI. A web-based training course (Autonomic Standards Training E Program (ASTeP)) is available to assist clinicians with understanding autonomic dysfunctions following SCI and with completion of the Autonomic Standards Assessment Form (www.ASIAlearningcenter.com).
Exploiting Known Interference as Green Signal Power for Downlink Beamforming Optimization

We propose a data-aided transmit beamforming scheme for the multi-user multiple-input-single-output (MISO) downlink channel. While conventional beamforming schemes aim at the minimization of the transmit power subject to suppressing interference to guarantee quality of service (QoS) constraints, here we use the knowledge of both data and channel state information (CSI) at the transmitter to exploit, rather than suppress, constructive interference. More specifically, we design a new precoding scheme for the MISO downlink that minimizes the transmit power for generic phase shift keying (PSK) modulated signals. The proposed precoder reduces the transmit power compared to conventional schemes, by adapting the QoS constraints to accommodate constructive interference as a source of useful signal power. By exploiting the power of constructively interfering symbols, the proposed scheme achieves the required QoS at lower transmit power. We extend this concept to the signal to interference plus noise ratio (SINR) balancing problem, where higher SINR values compared to the conventional SINR balancing optimization are achieved for given transmit power budgets. In addition, we derive equivalent virtual multicast formulations for both optimizations, both of which provide insights of the optimal solution and facilitate the design of a more efficient solver. Finally, we propose a robust beamforming technique to deal with imperfect CSI, that also reduces the transmit power over conventional techniques, while guaranteeing the required QoS. Our simulation and analysis show significant power savings for small scale MISO downlink channels with the proposed data-aided optimization compared to conventional beamforming optimization.
Audio part mixture alignment based on hierarchical nonparametric Bayesian model of musical audio sequence collection

This paper proposes “audio part mixture alignment,” a method for temporally aligning multiple audio signals, each of which is a rendition of a non-disjoint subset of a common piece of music. The method decomposes each audio signal into shared components and components unique to each rendition. At the same time, it aligns each audio signal based on the shared component. Decomposition of audio signal is modeled using a hierarchical Dirichlet process (Hierarchical DP, HDP), and sequence alignment is modeled as a left-to-right hidden Markov model (HMM). Variational Bayesian inference is used to jointly infer the alignment and component decomposition. The proposed method is compared with a classic audio-to-audio alignment method, and it is found that the proposed method is more robust to the discrepancy of parts between two audio signals.
Edge Preserving and Noise Reducing Reconstruction for Magnetic Particle Imaging

Magnetic particle imaging (MPI) is an emerging medical imaging modality which is based on the non-linear response of magnetic nanoparticles to an applied magnetic field. It is an important feature of MPI that even fast dynamic processes can be captured for 3D volumes. The high temporal resolution in turn leads to large amounts of data which have to be handled efficiently. But as the system matrix of MPI is non-sparse, the image reconstruction gets computationally demanding. Therefore, currently only basic image reconstruction methods such as Tikhonov regularization are used. However, Tikhonov regularization is known to oversmooth edges in the reconstructed image and to have only a limited noise reducing effect. In this work, we develop an efficient edge preserving and noise reducing reconstruction method for MPI. As regularization model, we propose to use the nonnegative fused lasso model, and we devise a discretization that is adapted to the acquisition geometry of the preclinical MPI scanner considered in this work. We develop a customized solver based on a generalized forward-backward scheme which is particularly suitable for the dense and not well-structured system matrices in MPI. Already a non-optimized prototype implementation processes a 3D volume within a few seconds so that processing several frames per second seems amenable. We demonstrate the improvement in reconstruction quality over the state-of-the-art method in an experimental medical setup for an in-vitro angioplasty of a stenosis.
Ultrasonic Vibration Assisted Grinding of Sintered Dental Zirconia Ceramics: An Experimental Study on Surface Roughness

Dental zirconia ceramics have been widely used in dental restorations due to their superior aesthetical and mechanical properties. Ultrasonic vibration assisted grinding (UVAG), as a novel effective machining process for hard and brittle materials, is introduced into directly machining sintered dental zirconia ceramics. This study is dedicated to investigating the influence of input variables (spindle speed, feedrate and cutting depth) on surface roughness during UVAG of sintered dental zirconia ceramics. The experiment is conducted through single-factor method, and the experimental results are statistically analyzed by One-Way ANOVA. Besides, the influence tendency of input variables on surface roughness is also obtained. The results indicate that the influence of spindle speed on surface roughness is highly significant. The value of surface roughness rises with the increase of spindle speed, feedrate, and cutting depth. Therefore, a better surface quality will be achieved with the combination of lower spindle speed, cutting depth and feedrate.
Structural, optical and electrical properties of tin oxide thin films for application as a wide band gap semiconductor

Tin oxide (SnO) thin films were synthesized using thermal evaporation technique. Ultra pure metallic tin was deposited on glass substrates using thermal evaporator under high vacuum. The thickness of the tin deposited films was kept at 100nm. Subsequently, the as-deposited tin films were annealed under oxygen environment for a period of 3hrs to obtain tin oxide films. To analyse the suitability of the synthesized tin oxide films as a wide band gap semiconductor, various properties were studied. Structural parameters were studied using XRD and SEM-EDX. The optical properties were studied using UV-Vis Spectrophotometry and the electrical parameters were calculated using the Hall-setup. XRD and SEM confirmed the formation of SnO phase. Uniform texture of the film can be seen through the SEM images. Presence of traces of unoxidised Sn has also been confirmed through the XRD spectra. The band gap calculated was around 3.6eV and the optical transparency around 50%. The higher value of band gap and lower value o.
Arrangements of lines in 3-space: a data structure with applications

Let an arrangement of blue lines in 3-space be fixed, and imagine a movable red line entangled in the arrangement. We show an <italic>&Ogr;</italic>(<italic>n</italic><supscrpt>4</supscrpt>α(<italic>n</italic>)) algorithm for building a data structure that permits enumeration of mutually inaccessible classes of such red lines, where α(<italic>n</italic>) is the inverse Ackermann function. The core of the algorithm is a construction of <italic>&Ogr;</italic>(<italic>n</italic><supscrpt>2</supscrpt>) 2-D arrangement of hyperbolas, each in <italic>&Ogr;</italic>(<italic>n</italic><supscrpt>2</supscrpt>α(<italic>n</italic>)) time.The algorithm is applied to stabbing 3-polytopes, enumerating pairwise-visible face pairs, enumerating 2-D projections of convex 4-polytopes, and other problems, resulting in <italic>&Ogr;</italic>(<italic>n</italic><supscrpt>4</supscrpt>α(<italic>n</italic>)) algorithms in each case.
Pushing the spatio-temporal resolution limit of urban air pollution maps

Up-to-date information on urban air pollution is of great importance for health protection agencies to assess air quality and provide advice to the general public in a timely manner. In particular, ultrafine particles (UFPs) are widely spread in urban environments and may have a severe impact on human health. However, the lack of knowledge about the spatio-temporal distribution of UFPs hampers profound evaluation of these effects. In this paper, we analyze one of the largest spatially resolved UFP data set publicly available today containing over 25 million measurements. We collected the measurements throughout more than a year using mobile sensor nodes installed on top of public transport vehicles in the city of Zurich, Switzerland. Based on these data, we develop land-use regression models to create pollution maps with a high spatial resolution of 100m × 100 m. We compare the accuracy of the derived models across various time scales and observe a rapid drop in accuracy for maps with subweekly temporal resolution. To address this problem, we propose a novel modeling approach that incorporates past measurements annotated with metadata into the modeling process. In this way, we achieve a 26% reduction in the root-mean-square error-a standard metric to evaluate the accuracy of air quality models-of pollution maps with semi-daily temporal resolution. We believe that our findings can help epidemiologists to better understand the adverse health effects related to UFPs and serve as a stepping stone towards detailed real-time pollution assessment.
My Botnet Is Bigger Than Yours (Maybe, Better Than Yours): Why Size Estimates Remain Challenging

As if fueled by its own fire, curiosity and speculation regarding botnet sizes abounds. Among researchers, in the press, and in the classroom--the questions regarding the widespread effect of botnets seem never-ending: what are they? how many are there? what are they used for? Yet, time and time again, one lingering question remains: how big are today's botnets? We hear widely diverging answers. In fact, some may argue, contradictory. The root cause for this confusion is that the term botnet size is currently poorly defined. We elucidate this issue by presenting different metrics for counting botnet membership and show that they lead to widely different size estimates for a large number of botnets we tracked. In particular, we show how several issues, including cloning, temporary migration, and hidden structures significantly increase the difficulty of determining botnet size with any accuracy. Taken as a whole, this paper calls into question speculations about botnet size, and more so, questions whether size really matters.
Regional mutagenesis of the gene encoding the phage Mu late gene activator C identifies two separate regions important for DNA binding

Lytic development of bacteriophage Mu is controlled by a regulatory cascade and involves three phases of transcription: early, middle and late. Late transcription requires the host RNA polymerase holoenzyme and a 16.5-kDa Mu-encoded activator protein C. Consistent with these requirements, the four late promoters Plys, PI, PP and Pmom have recognizable −10 hexamers but lack typical −35 hexamers. The C protein binds to a 16-bp imperfect dyad-symmetrical sequence element centered at −43.5 and overlapping the −35 region. Based on the crystal structure of the closely related Mor protein, the activator of Mu middle transcription, we predict that two regions of C are involved in DNA binding: a helix-turn-helix region and a β-strand region linking the dimerization and helix-turn-helix domains. To test this hypothesis, we carried out mutagenesis of the corresponding regions of the C gene by degenerate oligonucleotide-directed PCR and screened the resulting mutants for their ability to activate a Plys-galK fusion. Analysis of the mutant proteins by gel mobility shift, β-galactosidase and polyacrylamide gel electrophoresis assays identified a number of amino acid residues important for C DNA binding in both regions.
Unikernels: Rise of the Virtual Library Operating System

Cloud computing has been pioneering the business of renting computing resources in large data centers to multiple (and possibly competing) tenants. The basic enabling technology for the cloud is operating-system virtualization such as Xen1 or VMWare, which allows customers to multiplex VMs (virtual machines) on a shared cluster of physical machines. Each VM presents as a self-contained computer, booting a standard operating-system kernel and running unmodified applications just as if it were executing on a physical machine.
Heterosynaptic Modulation of Motor Cortical Plasticity in Human

Inductions of long-term potentiation (LTP) and depression (LTD) are modulated if they are preceded by a priming protocol, in a manner consistent with metaplasticity. Depotentiation refers to reversal of LTP by a subsequent protocol that has no effect by itself. Paired associative stimulation (PAS) at interstimulus interval of 25 ms (PAS25) and 10 ms (PAS10) produces spike timing-dependent LTP-like and LTD-like effects in human primary motor cortex. Continuous theta burst stimulation (cTBS) with 600 pulses produces an LTD-like effect, whereas cTBS with 150 pulses (cTBS150) has no effect by itself. We investigated whether cortical plasticity induced by PAS can be modulated by heterosynaptic inputs of cTBS150. PAS25 and PAS10 primed and followed by cTBS150 were compared withPAS25 and PAS10 alone. Motor evoked potential (MEP) amplitude, recruitment curve, and intracortical circuits including short-interval intracortical inhibition (SICI), long-interval intracortical inhibition (LICI), intracortical facilitation, and short-latency afferent inhibition were measured before and after the interventions. After PAS25 alone, MEP amplitude increased while intracortical circuits did not change. A priming cTBS150 enhanced the effects of PAS25 with further increase in MEP amplitude and led to reduction in SICI and LICI. PAS25 followed by cTBS150 led to reduced MEP amplitude and increased LICI and SICI. Both priming and following cTBS150 reversed the LTD-like effect produced by PAS10 with little change in intracortical circuits. We conclude that cortical plasticity induced by PAS and cTBS interacts in a heterosynaptic and bidirectional manner. The order of the interventions determines whether the underlying mechanisms are related to metaplasticity or depotentiation.
Dimension Projection Matrix/Tree: Interactive Subspace Visual Exploration and Analysis of High Dimensional Data

For high-dimensional data, this work proposes two novel visual exploration methods to gain insights into the data aspect and the dimension aspect of the data. The first is a Dimension Projection Matrix, as an extension of a scatterplot matrix. In the matrix, each row or column represents a group of dimensions, and each cell shows a dimension projection (such as MDS) of the data with the corresponding dimensions. The second is a Dimension Projection Tree, where every node is either a dimension projection plot or a Dimension Projection Matrix. Nodes are connected with links and each child node in the tree covers a subset of the parent node's dimensions or a subset of the parent node's data items. While the tree nodes visualize the subspaces of dimensions or subsets of the data items under exploration, the matrix nodes enable cross-comparison between different combinations of subspaces. Both Dimension Projection Matrix and Dimension Project Tree can be constructed algorithmically through automation, or manually through user interaction. Our implementation enables interactions such as drilling down to explore different levels of the data, merging or splitting the subspaces to adjust the matrix, and applying brushing to select data clusters. Our method enables simultaneously exploring data correlation and dimension correlation for data with high dimensions.
MIT Sloan School of Management

We consider the scheduling problem of minimizing the average weighted completion time on identical parallel machines when jobs are arriving over time. For both the preemptive and the nonpreemptive setting, we show that straightforward extensions of Smith’s ratio rule yield smaller competitive ratios compared to the previously best-known deterministic on-line algorithms, which are (4 + " )-competitive in either case. Our preemptive algorithm is 2-competitive, which actually meets the competitive ratio of the currently best randomized on-line algorithm for this scenario. Our nonpreemptive algorithm has a competitive ratio of 3 : 28. Both results are characterized by a surprisingly simple analysis; moreover, the preemptive algorithm also works in the less clairvoyant environment in which only the ratio of weight to processing time of a job becomes known at its release date, but neither its actual weight nor its processing time. In the corresponding nonpreemptive situation, every on-line algorithm has an unbounded competitive ratio.