Miracle-dz/UniFAR-FTUs huggingface dataset:
Deep Learning-Based Channel Estimation for Massive MIMO Systems

In this letter, we propose a deep learning (DL)-based channel estimation scheme for the massive multiple-input multiple-output (MIMO) system. Unlike existing studies, we develop the channel estimation scheme for the case that the pilot length is smaller than the number of transmit antennas. The proposed scheme takes a two-stage estimation process: 1) a DL-based pilot-aided channel estimation and 2) a DL-based data-aided channel estimation. In the first stage, the pilot itself and the channel estimator are jointly designed by using both a two-layer neural network (TNN) and a deep neural network (DNN). In the second stage, the accuracy of channel estimation is further enhanced by using another DNN in an iterative manner. The simulation results demonstrate that the proposed channel estimation scheme has much better performance than the conventional channel estimation scheme. We also derive a useful insight into the optimal pilot length given the number of transmit antennas.
Mobile Motion Capture

Lexington Massachusetts This page intentionally left blank. As robotics and augmented reality research continue to advance, a common problem that appears is that of global localization for each components in the system. One solution for this is to use a motion capture room to track all of these components. This is done by marking objects with reflective fiducials that are very visible to infra-red (IR) cameras, which then work together to track the 6 degree of freedom (DoF) poses of these objects. An inherit problem with motion capture rooms is that the space in which you can track objects is limited to only a single room. To increase the capture volume, additional cameras could be purchased and placed more sparsely. This is not a practical solution as it takes about a dozen cameras to cover a single room and each standard camera costs over one thousand dollars; the cost to increase space adds up very quickly. Even more, it is difficult and often impractical to move or expand an existing system to other spaces due to the lengthy calibration process. This project's goal was to create a mobile motion capture system that would use a single device as opposed to having multiple static cameras, allowing for theoretically infinite capture volume. The mobile motion capture system we developed is capable of tracking the same reflective fiducials as a normal motion capture system, but is limited to simple planar objects that must be completely in the field of view of the device; what we gained in mobility and low cost was traded off with with the ability to track more complex objects. An example of a trackable plane in our system is in Figure 1. The configuration of points which are called constellations, contain 4 lines; each line is a unique configuration of 4 points which we call sub constellations. Figure 1. A planar constellation that our system tracks, which is composed of 4 unique lines The device we are using which enabled our project is the Google Project Tango, a project currently being developed by the Advanced Technologies And Project team at Google, or ATAP for short. The Tango device uses visual odometry to estimate its own 6DoF pose relative to where the device was turned on. This grants us a global reference frame just like using a motion capture room provides. In addition to estimating its pose, the Tango has …
LETTER TO THE EDITOR: The phase diagram of an exactly solvable t-J ladder model

We study a system of one-dimensional t-J models coupled to a ladder system. A special choice of the interaction between neighbouring rungs leads to an integrable model with supersymmetry, which is broken by the presence of rung interactions. We analyse the spectrum of low-lying excitations and the ground-state phase diagram at zero temperature.
Using Argument Diagramming Software to Teach Critical Thinking Skills

There is substantial evidence from many domains that visual representations aid various forms of cognition. We aimed to determine whether visual representations of argument structure enhanced the acquisition and development of critical thinking skills within the context of an introductory philosophy course. We found a significant effect of the use of argument diagrams, and this effect was stable even when multiple plausible correlates were controlled for. These results suggest that natural and relatively minor modifications to standard critical thinking courses could provide substantial increases in student learning and performance.
Ac-Immobilized, a Stable Source of Activator Transposase That Mediates Sporophytic and Gametophytic Excision of Dissociation Elements in Maize

We have identified and characterized a novel Activator (Ac) element that is incapable of excision yet contributes to the canonical negative dosage effect of Ac. Cloning and sequence analysis of this immobilized Ac (Ac-im) revealed that it is identical to Ac with the exception of a 10-bp deletion of sequences at the left end of the element. In screens of ∼6800 seeds, no germinal transpositions of Ac-im were detected. Importantly, Ac-im catalyzes germinal excisions of a Ds element resident at the r1 locus resulting in the recovery of independent transposed Ds insertions in ∼4.5% of progeny kernels. Many of these transposition events occur during gametophytic development. Furthermore, we demonstrate that Ac-im transactivates multiple Ds insertions in somatic tissues including those in reporter alleles at bronze1, anthocyaninless1, and anthocyaninless2. We propose a model for the generation of Ac-im as an aberrant transposition event that failed to generate an 8-bp target site duplication and resulted in the deletion of Ac end sequences. We also discuss the utility of Ac-im in two-component Ac/Ds gene-tagging programs in maize.
Polydopamine Coated Single-Walled Carbon Nanotubes as a Versatile Platform with Radionuclide Labeling for Multimodal Tumor Imaging and Therapy

Single-walled carbon nanotubes (SWNTs) with various unique properties have attracted great attention in cancer theranostics. Herein, SWNTs are coated with a shell of polydopamine (PDA), which is further modified by polyethylene glycol (PEG). The PDA shell in the obtained SWNT@PDA-PEG could chelate Mn2+, which together with metallic nanoparticulate impurities anchored on SWNTs offer enhanced both T1 and T2 contrasts under magnetic resonance (MR) imaging. Meanwhile, also utilizing the PDA shell, radionuclide 131I could be easily labeled onto SWNT@PDA-PEG, enabling nuclear imaging and radioisotope cancer therapy. As revealed by MR & gamma imaging, efficient tumor accumulation of SWNT@PDA-131I-PEG is observed after systemic administration into mice. By further utilizing the strong near-infarared (NIR) absorbance of SWNTs, NIR-triggered photothermal therapy in combination with 131I-based radioisotope therapy is realized in our animal experiments, in which a remarkable synergistic antitumor therapeutic effect is observed compared to monotherapies. Our work not only presents a new type of theranostic nanoplatform based on SWNTs, but also suggests the promise of PDA coating as a general approach to modify nano-agents and endow them with highly integrated functionalities.
Incremental tree height reduction for high level synthesis

A new local and incrementolTree Height Reduction (THR) technique for parallelization of application programs is presented. Although THR was introduced many years ago-it has not been widely used in HLS scheduling systems. The two main reasons for that were the inability of most systems to compact beyond basic blocks of the program, thus limiting the strength of THR and the fact that traditionally THR required a global view of the program which made i t either inefficient or impossible to integrate into local transformations. THR has several interesting p rop erties: while known compaction techniques yield constant factor of speed-up (even with unlimited resources), THR has speed-up of O(n/ log n). Furthermore, THR is able to compact programs when other techniques fail (due to data dependency between operations). The capability of our system to integrate THR with beyond-basic-blocks compaction and with loop pipelining means that more operations may be considered for THR which may yield much more aggressive compaction.
La Familia Telerín: Connected Learning through Transmedia

Nowadays, transmedia storytelling has shaped new ways to produce children’s content, in which the audience has an increasingly active role (Livingstone and Bovill 2013; Cortesi et al. 2015). The fruition of storytelling content through digital media allows to connect it with personal interests and school activities as well as to enhance the link between adults and children (Ito et al. 2013; Jenkins, Īto, and boyd 2015). The main goal of this paper is to analyze the new transmedia release of one the most successful and recognized TV cartoons all over Spain and Latin America: La Familia Telerin. Specifically, we want to discover how the cartoon was re-valued by the production company Anima Kitchen, and understand the role that transmedia storytelling played out in this regard. Adopting a digital anthropology approach (Horst and Miller 2012), our findings come from big data, a focus group and through a virtual ethnography. The findings provide us with a clear understanding about how transmedia storytelling supports social values, media skills and learning activities into the everyday life of children.
The vascular repair process after injury of the carotid artery is regulated by IL-1RI and MyD88 signalling.

AIM The aim of this study was to determine whether innate immune signalling influences the vascular repair process in response to mechanical injury of arteries in mice. METHODS AND RESULTS A non-obstructive collar was introduced around the carotid artery of MyD88-deficient mice, and neointima formation was compared with that observed in MyD88-competent mice. MyD88-deficient mice are characterized by impaired signal transduction from interleukin (IL)-1/IL-18 receptors and most Toll-like receptors (TLRs). The vascular response to injury was severely impaired in MyD88-deficient mice as neointima formation was not different from sham-operated mice, whereas MyD88-competent mice displayed robust neointima formation. Furthermore, infiltration of CD68-positive leucocytes was dependent on MyD88. During the early response to injury, 3 days after collar placement, a transient increase in the expression of TLR4 on vascular smooth muscle cells was observed. To determine the relative importance of IL-1 receptor and TLR4 activation in the vascular response to injury, mice were injected with blocking antibodies to these receptors prior to the collar placement. Neointima formation was reduced by 80% in mice administered IL-1RI blocking antibodies compared with mice given a control antibody, whereas administration of TLR4 blocking antibodies was without effect. CONCLUSION These results show that inhibition of MyD88- or IL-1 receptor signalling reduces neointima formation in response to vascular injury and could offer therapeutic options for reducing clinical complications of excessive smooth muscle cell proliferation, such as that observed in in-stent restenosis.
Proceedings of the 10 th International Conference on Computer Supported Cooperative Work in Design Building Tools for Emergent Design with COPPEER

In this work, we first present a model of emergent design which allows a community of designers to collectively translate a set of requirement specifications into a completed design. Then, we describe the COPPEER framework, an environment for developing and running collaborative peer-to-peer applications which directly supports the main requirements elicited in our proposal.
Substantial Reduction in Single Sympathetic Nerve Firing After Renal Denervation in Patients With Resistant Hypertension

Renal denervation (RDN) has been shown to reduce blood pressure (BP) and muscle sympathetic nerve activity (MSNA) in patients with resistant hypertension. The mechanisms underlying sympathetic neural inhibition are unknown. We examined whether RDN differentially influences the sympathetic discharge pattern of vasoconstrictor neurons in patients with resistant hypertension. Standardized office BP, single-unit MSNA, and multi-unit MSNA were obtained at baseline and at 3-month follow-up in 35 patients with resistant hypertension. Twenty-five patients underwent RDN, and 10 patients underwent repeated measurements without RDN (non-RDN). Baseline BP averaged 164/93 mm Hg (RDN) and 164/87 mm Hg (non-RDN) despite use of an average of 4.8±0.4 and 4.4±0.5 antihypertensive drugs, respectively. Mean office BP decreased significantly by −13/−6 mm Hg for systolic BP (P<0.001) and diastolic BP (P<0.05) with RDN but not in non-RDN at 3-month follow-up. RDN moderately decreased multi-unit MSNA (79±3 versus 73±4 bursts/100 heartbeats; P<0.05), whereas all properties of single-unit MSNA including firing rates of individual vasoconstrictor fibers (43±5 versus 27±3 spikes/100 heartbeats; P<0.01), firing probability (30±2 versus 22±2% per heartbeat; P<0.02), and multiple firing incidence of single units within a cardiac cycle (8±1 versus 4±1% per heartbeat; P<0.05) were substantially reduced at follow-up. BP, single-unit MSNA, and multi-unit MSNA remained unaltered in the non-RDN cohort at follow-up. RDN results in the substantial and rapid reduction in firing properties of single sympathetic vasoconstrictor fibers, this being more pronounced than multi-unit MSNA inhibition. Whether the earlier changes in single-unit firing patterns may predict long-term BP response to RDN warrants further exploration.
Correlated MIMO Rayleigh Channels: Eigenmodes and Capacity Analyses

Equipping a wireless system’s transmitter and receiver with multiple antennas represents one of the most promising solutions to improve the bandwidth efficiency and system reliability without need to use extra bandwidth or transmitting more power into the channel. Such a system is called Multiple Input Multiple Output (MIMO) and offers high capacity. This gain in capacity is affected by the channel correlation and the number of receive and transmit antennas. In this paper, the MIMO Rayleigh channel matrix will be analyzed. The behaviour of channel matrix eigenmodes and the power levels allocated to them by the water-filling algorithm with SNR and with the channel correlation will be explored. Capacity of the channel eigenmodes and total capacity of the channel will also be studied. It was found that the transmitter allocates all transmitted power to the strongest eigenmode at low SNR, and divides this power equally among the eigenmodes at high SNRs. The strongest eigenmode of a channel matrix increases with correlation, while the other eigenmodes of the channel decrease. When the channel correlation approaches 1, the strongest eigenmode approaches the Mr * Mt, while the other eigenmodes approach zero. At low SNRs, the transmitter allocates the power to the strongest eigenmode only, so that the capacity of the channel increases with the channel correlation. The channel matrix is considered perfectly known at both sides of the wireless link.
Interplay of Culture, Learning, Politics, and Institutions: A Structurational Framework of Information Technology-Induced Organizational Change

The organizational consequences of IT has long been a central topic of interest in IS research. However, findings from this research stream have been inconsistent, limiting their value to both theory and practice. Attempting to address this discrepancy, we build upon prior research to propose a structurational framework that integrates four theoretical perspectives of IT-induced organizational change: political theory, organizational culture, organizational learning, and institutional theory. Housed under the framework based on structures, modalities and actions, the pertinent elements in the four theoretical perspectives are explicated through the lens of structuration theory. Further, the inter-relationships among these elements from the four perspectives are brought to light. In particular, organizational learning is seen as the focal mechanism through which IT-induced change takes place. By constructing such an analytical framework, we aim to provide a more holistic understanding of the IT-induced organizational change phenomenon. The framework may also serve as a sensitizing device for practitioners to better manage the complex organizational change processes induced by IT implementation.
INVESTIGASI PROSES PIROLISIS PADA NON-SWEEP GAS FIXED-BED REACTOR UNTUK MEMPRODUKSI ASAP CAIR DENGAN BAHAN BAKU BIO-MASSA

Penggunaan sweep gas pada reaktor pirolisis sudah umum digunakan, untuk mempersingkat masa tinggal uap di dalam reaktor dan pada akhirnya akan meningkatkan cairan yang dihasilkan. Penggunaan nitrogen sebagai sweep gas akan mengakibatkan timbulnya biaya tambahan dan penambahan komponen proses. Pada penelitian ini akan dilakukan investigasi tentang reaktor pirolisis yang tidak menggunakan sweep gas dengan pendekatan thermo-hydraulic. Tujuan dari Penelitian untuk mendapatkan karakterisasi perubahan temperatur dan energi pada non-sweep gas reactor dan bahan baku dari biomassa terhadap produk cair yang dihasilkan. Reaktor pirolisi berfungsi untuk dekomposisi bahan baku dari biomassa menjadi uap dan dicairkan di dalam liquid collection system untuk menjadi asap cair. Asap cair ini dapat digunakan sebagai bahan pengawet makanan, bahan bakar dan berbagai jenis zat kimia lainnya. Energi pemanas diberikan untuk mencapai temperatur reaksi pada biomassa di dalam reaktor, sehingga untuk mendapatkan efisiensi yang maksimum pada operasionalnya, dibutuhkan investigasi tentang mekanisme pemanas pada non-sweep gas reactor. Jenis reaktor yang digunakan adalah fixed bed yang dilengkapi pemanas listrik yang dilengkapi pengatur tegangan sebagai pembatas energi yang masuk ke dalam reaktor. Termokopel dipasang pada beberapa titik untuk memantau kondisi perubahan di dalam sistem dan disambungkan ke data acquisition yang dihubungkan dengan komputer. Penelitian telah dilakukan dengan variasi pada energi masuk 1000 dan 2000 Watt, dan maksimum temperatur yang dibatasi pada 300, 400 dan 500 °C dengan bahan baku serbuk kayu dari biomassa. Produk cairan maksimum dihasilkan pada kondisi daya yang diberikan 1000 Watt, pada temperatur 500 °C dengan laju pemanasan 7.38 °C/min.
A new optimal seam selection method for airborne image stitching

Image stitching techniques are widely used to integrate multi-view or sequential images into one image. But visible seams, blurring, or ghosting effects may occur in the overlapping regions for real image stitching. One approach to solve this problem is to find some kinds of seams in regions where the images agree, and then a weighted or blended integrating can be carried out around the pixels on the seams, which makes the transitions from one image to the other not visible. The traditional dynamic programming based method is proved to be effective to find such optimal seam but has an obvious drawback that its searching direction is restricted, so that it is not suitable to find an optimal seam connecting two specified points which is often required for sequential image stitching. Facing the above problem, a new optimal seam definition based on minimum cost is given, and then an optimal seam selection method based on enhanced dynamic programming is proposed in this paper. The analysis and visual results of our experiments using some real airborne sequential images show that, the approach proposed in this paper can handle significant structure misalignment and eliminates structure seam for the global seamless image stitching.
Establishment of a seafood index to assess the seafood consumption in pregnant women

Background Seafood (fish and shellfish) is an excellent source of several essential nutrients for pregnant and lactating women. A short food frequency questionnaire (FFQ) that can be used to quantitatively estimate seafood consumption would be a valuable tool to assess seafood consumption in this group. Currently there is no such validated FFQ in Norway. Objective The objective of this study was to establish and validate a seafood index from a seafood FFQ against blood biomarkers (the omega-3 index, the omega-3 HUFA score, and serum 25OH vitamin D). Design We assessed maternal seafood consumption during the 28th gestation week in healthy Norwegian women (n=54) with a seafood FFQ. A seafood index was developed to convert ordinal frequency data from the FFQ into numerical scale data. The following blood biomarkers were used as a validation method: omega-3 index, omega-3 HUFA score, and the serum 25OH vitamin D. Results The reported frequency of seafood as dinner and as spread was strongly correlated with the estimated frequencies of seafood as dinner and as spread. This indicated that the seafood index is a valuable tool to aggregate reported frequencies from the seafood FFQ. The seafood index composed of the frequency of seafood consumption and intake of omega-3 supplements, termed the total seafood index, correlated positively with the omega-3 index, omega-3 HUFA score, and 25OH vitamin D. Conclusion We established and validated a seafood index from a seafood FFQ. The developed seafood index can be used when studying health effects of seafood consumption in large populations. This seafood FFQ captures seafood consumption and omega-3 supplement intake considerably well in a group of pregnant women.
Dynamic clustering of evolving streams with a single pass

Stream data is common in many applications, e.g., stock quotes, merchandize sales record, system logs, etc. It is of great importance to analyze these stream data. As one of the most commonly used techniques, clustering on streams can help to detect and monitor correlations among streams. Due to the unique nature of streaming data, direct application of most existing clustering algorithms fails to deliver efficient results. We introduce a novel model of stream cluster, which employs a weighted distance measure. In addition, we device a novel efficient algorithm which can effectively discover all stream clusters.
Stubborn ants

In ant colony optimization methods, including ant system and max-min ant system, each ant stochastically generates its candidate solution, in a given iteration, based on the same pheromone tau and heuristic eta information as every other ant. In this paper, we propose a variation in which if an ant generates a particular candidate solution St-1 in iteration t - 1, then the solution components of St-1 will have a higher probability of being selected in the candidate solution St generated by that ant in iteration t. In other words, each ant will be biased in favor of its past decisions, i.e. it will be stubborn. We evaluate this variation in the context of max-min ant system and the traveling salesman problem (TSP), using different degrees of stubbornness, and applying the ANOVA test of statistical significance to determine the level of significance of the results.
Towards a Matrix-based Distributional Model of Meaning

Vector-based distributional models of semantics have proven useful and adequate in a variety of natural language processing tasks. However, most of them lack at least one key requirement in order to serve as an adequate representation of natural language, namely sensitivity to structural information such as word order. We propose a novel approach that offers a potential of integrating order-dependent word contexts in a completely unsupervised manner by assigning to words characteristic distributional matrices. The proposed model is applied to the task of free associations. In the end, the first results as well as directions for future work are discussed.