Miracle-dz/UniFAR-FTUs huggingface dataset:
INVESTIGATION ON DATA PROCESSING METHOD IN MULTI ANTENNA GPS SYSTEM DESIGNED FOR LANDSLIDE

Original scientific paper The global positioning system (GPS) is a satellite navigation system in the middle distance circular orbit. It can provide accurate positioning, speed testing, and high precision time standard in most parts of the earth's surface. Position can be quickly determined with only 3 satellites, but if want more accurate location, more satellites should be coupled. The conventional GPS monitoring method for deformation is that the GPS receiver is installed in each monitoring point. When there are many monitoring points, cost of the monitoring system will be quite high. In order to solve this problem, multi antenna GPS monitoring system has been proposed. Multiple antennas are connected to a receiver according to an additional GPS signal switch. So the data obtained in the system will be much larger than by the conventional GPS system. How to effectively process the large amount of data is a difficult problem. In this paper, the main content is to study the data processing method for a multi antenna GPS. Data compression method in a multi antenna GPS system with a high sampling rate is investigated. Data effective degree is used in the method to extract useful information. GPS data is coded by multi coding methods. According to the verification, the results show that the method is valid, and it can be used in the GPS data compression.
SUPPLEMENT TO CORRIGENDUM TO “COMMUNICATION AND EQUILIBRIUM IN DISCONTINUOUS GAMES OF INCOMPLETE INFORMATION”

THIS IS A SUPPLEMENT that contains some omitted details from a “Corrigendum to ‘Communication and Equilibrium in Discontinuous Games of Incomplete Information’. ” We thank Andreas Blume for pointing out an error in a claim that we made in Example 1, and Eric Balder for pointing out that the proof of a lemma contains an assertion that is far from obvious and that two steps of the main proof contain typos and misstatements that make the steps difficult to follow. We offer corrections here. In Example 1 we claim that no equilibrium exists for any type-independent tiebreaking rule. Andreas Blume has pointed out the following counterexample to that claim. Consider a tie-breaking rule where all ties are broken in favor of bidder 1.1 Bidder 2 bids 3.5 for all types. Bidder 1 bids 3.5 if his type is . 5 or higher, and bids 3 5 − εt1 when of type t1 < 5. For small ε > 0, this is an equilibrium. The error in our proof of the nonexistence claim comes in the assertion that if there exists an equilibrium, then there exists one in weakly increasing strategies. To justify that assertion, we appealed to Proposition 1 of Maskin and Riley (2002), to which the above is also a counterexample.2 A slight modification of our Example 1 resurrects the claim that there does not exist an equilibrium for any type-independent tie-breaking rule. Consider exactly the same setting except for the following: with probability 1−ε there is one item available that is awarded to the high bidder at the high price; and with probability 0 < ε < 1/200 there are two items available, in which case the auctioneer randomly draws a number x from a uniform distribution on [0 6] and gives an item to each bidder whose bid exceeds x at a price of 0.3 With this modification, whenever there exists an equilibrium there also exists one in weakly increasing strategies. This follows from the observation that if one type of a bidder weakly prefers a high bid to a low one, then a higher type of the bidder will strictly prefer the higher bid to the lower one, as now any increase in bids increases the probability of obtaining an object. The remaining proof shows that in any equilibrium the bottoms of the supports of the bidding strategies must be identical and must be bid by both bidders with positive probability. A contradiction is then reached by showing that for any choice of this lowest bid that results in a positive probability of ties, at least one bidder would deviate. A detailed proof is as follows: With this perturbation, monotonicity is easy to see: Consider any pair of bids b′ b′′ with b′′ > b′, and consider player 1. Because types are
Iron chaperones PCBP1 and PCBP2 mediate the metallation of the dinuclear iron enzyme deoxyhypusine hydroxylase

Significance One-third of the proteins expressed in eukaryotic and prokaryotic cells may require bound metal ions or metal cofactors for activity. In human cells, the processes by which proteins acquire their native cofactors and avoid mismetallation are largely unknown. The multifunctional adaptor proteins poly(rC)-binding protein (PCBP)1 and PCBP2 are iron chaperones that deliver ferrous iron via a metal-mediated, protein–protein interaction. Three PCBP targets have been identified: ferritin, an iron storage protein; and prolyl and asparagyl hydroxylase, two mononuclear iron enzymes. Here, we show that PCBP1 and PCBP2 deliver iron to deoxyhypusine hydroxylase, a dinuclear iron enzyme representing a major class of nonheme iron enzymes. PCBPs may generally function to maintain nonheme iron cofactors in cytosolic enzymes, especially when iron becomes scarce. Although cells express hundreds of metalloenzymes, the mechanisms by which apoenzymes receive their metal cofactors are largely unknown. Poly(rC)-binding proteins PCBP1 and PCBP2 are multifunctional adaptor proteins that bind iron and deliver it to ferritin for storage or to prolyl and asparagyl hydroxylases to metallate the mononuclear iron center. Here, we show that PCBP1 and PCBP2 also deliver iron to deoxyhypusine hydroxylase (DOHH), the dinuclear iron enzyme required for hypusine modification of the translation factor eukaryotic initiation factor 5A. Cells depleted of PCBP1 or PCBP2 exhibited loss of DOHH activity and loss of the holo form of the enzyme in cells, particularly when cells were made mildly iron-deficient. Lysates containing PCBP1 and PCBP2 converted apo-DOHH to holo-DOHH in vitro with greater efficiency than lysates lacking PCBP1 or PCBP2. PCBP1 bound to DOHH in iron-treated cells but not in control or iron-deficient cells. Depletion of PCBP1 or PCBP2 had no effect on the cytosolic Fe-S cluster enzyme xanthine oxidase but led to loss of cytosolic aconitase activity. Loss of aconitase activity was not accompanied by gain of RNA-binding activity, a pattern suggesting the incomplete disassembly of the [4Fe-4S] cluster. PCBP depletions had minimal effects on total cellular iron, mitochondrial iron levels, and heme synthesis. Thus, PCBP1 and PCBP2 may serve as iron chaperones to multiple classes of cytosolic nonheme iron enzymes and may have a particular role in restoring metal cofactors that are spontaneously lost in iron deficient cells.
On the analysability of English exocentric compounds

In the past two decades, numerous studies have been written on the successful application of metaphor, metonymy and blending in the analysis of idiomatic expressions which traditional linguistic literature treated as semantically unanalysable phenomena, that go against the theory of compositionality (on the nonanalysability of idioms see for example Allen 1986, Cruse 1991, Fraser 1970; on the analysability of idioms see for example Benczes 2002, Gibbs 1994, Lakoff 1987, Kovecses and Szabo 1996). A similar view was adopted for the so-called exocentric compound expressions (for the original definition of endoand exocentricity see Bloomfield 1933). Since the vast majority of English compounds is endocentric (Bloomfield 1933), linguistic literature has a tendency to mention exocentric combinations only peripherally (if they are mentioned at all), and views these constructions as semantically non-transparent (see for example Dirven and Verspoor 1998, Jespersen 1954, Katamba 1993, Levi 1978, Marchand 1960, Selkirk 1982, Spencer 1991). The present paper takes a close look at these much-ignored constructions and claims that the semantic relations that might hold between the modifier and head elements of such compounds are exactly the same
Variational Neural Conversational Model

Neural conversation model has been offered with great promise in the recent year thanks to the development of sequence to sequence model proposed in 2014. Incorporating generative models like Variational autoencoder (VAE) with recurrent neural network (RNN) has became a very promising approach in text generation, that neatly combines the strength of deep learning and variational Bayesian methods with re-parameterization and well crafted objective function for optimization. In this project, we explored the strength of both the seq2seq model and variational methods in dialogue generation. We proved that our proposed method, Variational Nested Recurrent Autoencoder (VNRAE) is able to model the context information and produce reasonable response given the that information.
Quantum cascade laser tuning by digital micromirror array-controlled external cavity

A quantum cascade laser (QCL) tuning mechanism based on an external laser cavity containing a Micro ElectroMechanical System (MEMS) spatial light modulator in the form of a two-dimensional digital micromirror array (DMA) is described. The laser is tuned by modulating the reflectivity of DMA micromirror pixels under computer control. The resulting functionality enables fast (<0.1ms switching time) digitally controlled random-access wavelength tuning, high-bandwidth wavelength modulation (~30kHz modulation rate), and stable wavelength locking of the laser output. With one or more QCL gain elements built into the cavity, it is possible to cover a wide portion of the mid-wave and/or long-wave spectral range with a single device. The fast wideband digitally controlled laser tuning technology described is applicable to other tunable laser including solid-state, diode, gas, and fiber lasers.
Investment Strategy and Selection Bias: An Equilibrium Perspective on Overoptimism

Investors implement projects based on idiosyncratic signal observations, without knowing how signals and returns are jointly distributed. The following heuristic is studied: investors collect information on previously implemented projects with the same signal realization, and invest if the associated mean return exceeds the cost. The corresponding steady states result in suboptimal investments, due to selection bias and the heterogeneity of signals across investors. When higher signals are associated with higher returns, investors are overoptimistic, resulting in overinvestment. Rational investors increase the overoptimism of sampling investors, thereby illustrating a negative externality imposed by rational investors. (JEL D82, G11, G31, L26, M13)
Developing Variation Aware Simulation Tools, Models, and Designs for STT-RAM

DEVELOPING VARIATION AWARE SIMULATION TOOLS, MODELS, AND DESIGNS FOR STT-RAM Enes Eken, PhD University of Pittsburgh, 2017 In recent years, we have been witnessing the rise of spin-transfer torque random access memory (STT-RAM) technology. There are a couple of reasons which explain why STT-RAM has attracted a great deal of attention. Although conventional memory technologies like SRAM, DRAM and Flash memories are commonly used in the modern computer industry, they have major shortcomings, such as high leakage current, high power consumption and volatility. Although these drawbacks could have been overlooked in the past, they have become major concerns. Its characteristics, including low-power consumption, fast read-write access time and non-volatility make STT-RAM a promising candidate to solve the problems of other memory technologies. However, like all other memory technologies, STT-RAM has some problems such as long switching time and large programming energy of Magnetic Tunneling Junction (MTJ) which are waiting to be solved. In order to solve these long switching time and large programming energy problems, Spin-Hall Effect (SHE) assisted STT-RAM structure (SHE-RAM) has been recently invented. In this work, I propose two possible SHE-RAM designs from the aspects of two different write access operations, namely, High Density SHE-RAM and Disturbance Free SHE-RAM, respectively. In addition to the SHE-RAM designs, I will also propose a simulation tool for STT-RAMs. As an early-stage modeling tool, NVSim has been widely adopted for simulations of emerging nonvolatile memory technologies in computer architecture research, including STT-RAM, ReRAM, PCM, etc. I will introduce a new member of NVSim family – NVSim-VXs, which enables statistical simulation of STT-RAM for write performance, errors, and energy consumption.
Characterization of a Bacteriocin from Bacillus amyloliquefaciens

Since the 1940s, reports of antimicrobial substances abound in the scientific literature. These include early discovery of substances such as Nisin (Mattick and Hirsch, 1947) and Subtilin (Salle and Jann, 1945), now classified as bacteriocins. Bacteriocins aremicrobicidal or microbistaticpeptides produced by a wide range of bacterial speciesand have a wide variety of characteristics including a range of molecular masses, heat stability, and posttranslational modifications. Perhaps the most widely studied group of bacteriocins come from the lactic acid bacteria (LAB) (AlvarezSieiro et al., 2016; Nes et al., 2007; Zendo, 2013) followed closely by studies on bacteriocins from Bacillus species (Tagg et al., 1976; Abriouel et al., 2011). LAB bacteriocins have been classified and reclassified over the years (Alvarez-Sieiro et al., 2016; Nes et al., 2007)to include three classes and sometimes subclasses; lantibiotics (class I), small, linear peptides (class II), and large heat-labile (class III). More recently, a classification system with classes and subclasses paralleling LAB bacteriocins has been proposed for the Bacillus bacteriocins (Abriouel et al., 2011). This includes posttranslationally modified peptides (class I), non-modified peptides (class II), and other linear peptides (class III). Bacteriocins have been isolated from more than 20 Bacillus species, including several strains for some International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 7 Number 06 (2018) Journal homepage: http://www.ijcmas. com
Macrophage inflammatory protein-1 a is an osteoclastogenic factor in myeloma that is independent of receptor activator of nuclear factor kB ligand

http://bloodjournal.hematologylibrary. org/content/97/11/3349.full. html Updated information and services can be found at: (4217 articles) Neoplasia  (564 articles) Chemokines, Cytokines, and Interleukins  Articles on similar topics can be found in the following Blood collections http://bloodjournal.hematologylibrary. org/site/misc/rights.xhtml#repub_requests Information about reproducing this article in parts or in its entirety may be found online at: http://bloodjournal.hematologylibrary. org/site/misc/rights.xhtml#reprints Information about ordering reprints may be found online at: http://bloodjournal.hematologylibrary. org/site/subscriptions/index.xhtml Information about subscriptions and ASH membership may be found online at:
An Anti-Clone Attack Key Management Scheme for Wireless Sensor Networks

Wireless Sensor Networks (WSNs) are subject to various kinds of attacks such as replaying of messages, battery exhausting, and nodes compromising. While most of these attacks can be dealt with through cryptographic security protocols provided by key management schemes, there are always a few that manage to really cause problems. One such attack that is most common and significant in WSNs is cloning attack. In clone attack, the intruder tries to capture and compromise some nodes and inject them into several locations throughout the network in order to conduct other types of attacks. Moreover, if this attack is not detected early, then these replicated injected nodes will consume a large amount of the network resources. In this paper, we analyze several key management schemes that can be used for checking integrity and preventing cloning attacks. After analyzing the problems associated with these schemes, we propose a model that allows us to distinguish between legitimate nodes and cloned nodes in such sensor networks.
Computergestützte Modellierung von Blutfluss für die Therapie zere- braler Aneurysmen Computer-Aided Modelling of Blood Flow for the Treatment of Cere- bral Aneurysms

Cerebral aneurysms (pathologically dilated vessels) bear a higher risk of rupture. The evaluation of shape, position, and size of aneurysms is not sufficient to estimate this risk. Since it has major impact on the formation of aneurysms, the characteristic blood flow is an important source of information, not only with respect to risk estimation, but also for therapy planning and the development of new, low-risk-risk treatment techniques. In the following we motivate the computer-aided modelling of blood flow for the therapy of cerebral aneurysms. We describe the data pipeline, discuss the role of simulation parameters and show application examples from the fields of simulation, visualization and interaction.
Sharing the Full Range of Leadership in Student Teams: Developing an Instrument

Brian Novoselich is an active duty Lieutenant Colonel in the United States Army and currently a Ph.D. Candidate in the Department of Engineering Education at Virginia Tech. His is a former assistant professor at the United States Military Academy. His research interests include capstone design teaching and assessment, undergraduate engineering student leadership development, and social network analysis.
Characterization of nanocrystalline silicon germanium film and nanotube in adsorption gas by Monte Carlo and Langevin dynamic simulation

The nanocrystalline silicon-germanium films (Si/Ge) and Si/Ge nanotubes have low band gaps and high carrier mobility, thus offering appealing potential for absorbing gas molecules. Interaction between hydrogen molecules and bare as well as functionalized Si/Ge nanofilm and nanotube was investigated using Monte Carlo (MC) and Langevin dynamic (LD) simulation methods. It was found that the binding energy of the H 2 on the Si/Ge surface is weak, and be enhanced by increasing curvature of surface to tube form and increasing temperature. The structural, total energy and energy band gaps of H 2 absorbed nanocrystalline silicon germanium film (Si/Ge) and as it passes through Si/Ge nanotube was also studied. They are computed with MC and LD simulation the methods at different temperatures. All the calculations were carried out using HyperChem 7.0 program package. KEY WORDS: Monte Carlo , Langevin dynamic simulation, Silicon-germanium films (Si/Ge), Si/Ge nanotube Bull. Chem. Soc. Ethiop. 2008 , 22(2), 277-286.
On the Concentration Properties of Interacting Particle Processes

This monograph presents some new concentration inequalities for Feynman-Kac particle processes. We analyze different types of stochastic particle models, including particle profile occupation measures, genealogical tree based evolution models, particle free energies, as well as backward Markov chain particle models. We illustrate these results with a series of topics related to computational physics and biology, stochastic optimization, signal processing and Bayesian statistics, and many other probabilistic machine learning algorithms. Special emphasis is given to the stochastic modeling, and to the quantitative performance analysis of a series of advanced Monte Carlo methods, including particle filters, genetic type island models, Markov bridge models, and interacting particle Markov chain Monte Carlo methodologies.
UTS-CMU-D2DCRC Submission at TRECVID 2016 Video Localization

In this report, we summarize our solution to TRECVID 2016 Video Localization task. We mainly use Faster R-CNN to localize objects in the spatial domain which is combined with frame-level and shot-level detectors to localize concepts in the temporal domain. We collected images with annotated bounding box from external sources, e
Improving Implicit Recommender Systems with View Data

Most existing recommender systems leverage the primary feedback data only, such as the purchase records in E-commerce. In this work, we additionally integrate view data into implicit feedback based recommender systems (dubbed as Implicit Recommender Systems). We propose to model the pairwise ranking relations among purchased, viewed, and non-viewed interactions, being more effective and ﬂexible than typical pointwise matrix factorization (MF) methods. However, such a pairwise formulation poses efﬁciency challenges in learning the model. To address this problem, we design a new learning algorithm based on the element-wise Alternating Least Squares (eALS) learner. Notably, our algorithm can efﬁciently learn model parameters from the whole user-item matrix (including all missing data), with a rather low time complexity that is dependent on the observed data only. Extensive experiments on two real-world datasets demonstrate that our method outperforms several state-of-the-art MF methods by 10% ∼ 28.4%. Our implementation is available at: https://github.com/ dingjingtao/View_enhanced_ALS.
Mr. Plotter: Unifying Data Reduction Techniques in Storage and Visualization Systems

As the rate of data collection continues to grow rapidly, developing visualization tools that scale to immense data sets is a serious and ever-increasing challenge. Existing approaches generally seek to decouple storage and visualization systems, performing just-in-time data reduction to transparently avoid overloading the visualizer. We present a new architecture in which the visualizer and data store are tightly coupled. Unlike systems that read raw data from storage, the performance of our system scales linearly with the size of the ﬁnal visualization, essentially independent of the size of the data. Thus, it scales to massive data sets while supporting interactive performance (sub-100 ms query latency). This enables a new class of visualization clients that automatically manage data, quickly and transparently requesting data from the underlying database without requiring the user to explicitly initiate queries. It lays a groundwork for supporting truly interactive exploration of big data and opens new directions for research on scalable information visualization systems.