Miracle-dz/UniFAR-FTUs huggingface dataset:
The millimeter-wave properties of superconducting microstrip lines

We have developed a novel technique for making high quality measurements of the millimeter-wave properties of superconducting thin-film microstrip transmission lines. Our experimental technique currently covers the 75-100 GHz band. The method is based on standing wave resonances in an open ended transmission line. We obtain information on the phase velocity and loss of the microstrip. Our data for Nb/SiO/Nb lines, taken at 4.2 K and 1.6 K, can be explained by a single set of physical parameters. Our preliminary conclusion is that the loss is dominated by the SiO dielectric, with a temperature-independent loss tangent of 5.3 ± 0.5 x 10^(-3) for our samples.
Rapid mixing of Gibbs sampling on graphs that are sparse on average

Gibbs sampling also known as Glauber dynamics is a popular technique for sampling high dimensional distributions defined on graphs. Of special interest is the behavior of Gibbs sampling on the Erdős‐Rényi random graph G(n,d/n), where each edge is chosen independently with probability d/n and d is fixed. While the average degree in G(n,d/n) is d(1 ‐ o(1)), it contains many nodes of degree of order log n/log log n.
Moving from Model Systems into Crops : Not Just for Arabidopsis Anymore

Using genomic technologies, it is now possible to address research hypotheses in the context of entire developmental or biochemical pathways, gene networks, and chromosomal location of relevant genes and their inferred evolutionary history. Through a range of platforms, researchers can survey an entire transcriptome under a variety of experimental and field conditions. Interpretation of such data has led to new insights and revealed previously undescribed phenomena. In the area of plant-pathogen interactions, transcript profiling has provided unparalleled perception into the mechanisms underlying gene-for-gene resistance and basal defense, host vs nonhost resistance, biotrophy vs necrotrophy, and pathogenicity of vascular vs nonvascular pathogens, among many others. In this way, genomic technologies have facilitated a system-wide approach to unifying themes and unique features in the interactions of hosts and pathogens. 329 A nn u. R ev . P hy to pa th ol . 2 00 7. 45 :3 29 -3 69 . D ow nl oa de d fr om w w w . a nn ua lr ev ie w s. or g A cc es s pr ov id ed b y Io w a St at e U ni ve rs ity o n 02 /1 6/ 16 . F or p er so na l u se o nl y. ANRV319-PY45-15 ARI 22 June 2007 19:7
Adaptive reconstruction method of missing textures based on perceptually optimized algorithm

This paper presents an adaptive reconstruction method of missing textures based on structural similarity (SSIM) index. The proposed method firstly performs SSIM-based selection of the optimal known local textures to adaptively obtain subspaces for reconstructing missing textures. Furthermore, from the selected known textures, the missing texture reconstruction maximizing the SSIM index is performed. In this approach, the non-convex maximization problem is reformulated as a quasi convex problem, and the adaptive reconstruction of the missing textures becomes feasible. Experimental results show impressive improvement of the proposed method over previously reported reconstruction methods.
Enhanced polychronization in a spiking network with metaplasticity

Computational models of metaplasticity have usually focused on the modeling of single synapses (Shouval et al., 2002). In this paper we study the effect of metaplasticity on network behavior. Our guiding assumption is that the primary purpose of metaplasticity is to regulate synaptic plasticity, by increasing it when input is low and decreasing it when input is high. For our experiments we adopt a model of metaplasticity that demonstrably has this effect for a single synapse; our primary interest is in how metaplasticity thus defined affects network-level phenomena. We focus on a network-level phenomenon called polychronicity, that has a potential role in representation and memory. A network with polychronicity has the ability to produce non-synchronous but precisely timed sequences of neural firing events that can arise from strongly connected groups of neurons called polychronous neural groups (Izhikevich et al., 2004). Polychronous groups (PNGs) develop readily when spiking networks are exposed to repeated spatio-temporal stimuli under the influence of spike-timing-dependent plasticity (STDP), but are sensitive to changes in synaptic weight distribution. We use a technique we have recently developed called Response Fingerprinting to show that PNGs formed in the presence of metaplasticity are significantly larger than those with no metaplasticity. A potential mechanism for this enhancement is proposed that links an inherent property of integrator type neurons called spike latency to an increase in the tolerance of PNG neurons to jitter in their inputs.
Theories of Medical Decision Making and Health: An Evidence-Based Approach

In this special section of Medical Decision Making, 3 developers of evidence-based theories of medical decision making and health present their approaches: Fishbein (theory of reasoned action); Prochaska (transtheoretical model); and Reyna (fuzzy-trace theory). Spring, chair of the Evidence-Based Practice Committee of the Society for Behavioral Medicine, follows with a commentary on the 3 approaches and many other topics of keen interest to researchers concerned with the science of decision making and behavioral change, as applied to both patients and health care providers. Although this special section sprang from a symposium at the Annual Meeting of the Society for Medical Decision Making (SMDM), the authors have gone beyond their addresses to summarize the major findings and rationale for each of their positions. The practical payoff to the reader is a brief introduction to current theories that have evidence behind them, theories that are apt to improve assessments, prevention programs (e.g., risk communication), and intervention efforts in medical decision making and health, including decision aids.
Chroma-based statistical audio features for audio matching

Large music collections often contain several recordings of the same piece of music, which are interpreted by various musicians and possibly arranged in different instrumentations. Given a short query audio clip, an important task in audio retrieval is to automatically and efficiently identify all corresponding audio clips irrespective of the specific interpretation or instrumentation. In view of this problem, which is also referred to as audio matching, the main contribution of this paper is to introduce a new type of audio feature that strongly correlates to the harmonic progression of the audio signal. In addition, our feature shows a high degree of robustness to variations in parameters such as dynamics, timbre, articulation, and local tempo deviations. The feature design is carried out in two stages basically taking short-time statistics over chroma-based energy distributions. Here, the chroma correspond to the 12 traditional pitch classes of the equal-tempered scale. Applied to audio matching on a large audio database consisting of a wide range of classical music (112 hours of audio material), our features proved to be a powerful tool providing accurate matchings in an efficient way concerning time as well as memory requirements.
Enhance Rule Based Detection for Software Fault Prone Modules

Abstract Software quality assurance is necessary to increase the level of confidence in the developed software and reduce the overall cost for developing software projects. The problem addressed in this research is the prediction of fault prone modules using data mining techniques. Predicting fault prone modules allows the software managers to allocate more testing and resources to such modules. This can also imply a good investment in better design in future systems to avoid building error prone modules. Software quality models that are based upon data mining from previous projects can identify fault-prone modules in the current similar development project, once similarity between projects is established. In this paper, we applied different data mining rule-based classification techniques on several publicly available datasets of the NASA software repository (e.g. PC1, PC2, etc). The goal was to classify the software modules into either fault prone or not fault prone modules. The paper proposed a modification on the RIDOR algorithm on which the results show that the enhanced RIDOR algorithm is better than other classification techniques in terms of the number of extracted rules and accuracy. The implemented algorithm learns defect prediction using mining static code attributes. Those attributes are then used to present a new defect predictor with high accuracy and low error rate.
Underground Cable Design for Chemical Plants

MOST electrical engineers are aware of the vulnerability of above grade cables to fire and other hazards that could exist, and they are concerned about methods of protecting these cables from such dangers. The intent of underground methods is to provide protection for long cable runs from possible hazards created by nearby units. Other methods can be used within segments of an operating unit where the cables come above grade.
Inter‐temporal economies of scope, organizational modularity, and the dynamics of diversification

The question of whether corporations add value beyond that created by individual businesses has engendered much debate in recent years. Some of this debate has focused on the pros and cons of related vs. unrelated diversification. A standard explanation of the benefits of related diversification has to do with the ability to obtain intra‐temporal economies of scope from contemporaneous sharing of resources by related businesses within the firm. In contrast, this paper deals with inter‐temporal economies of scope that firms achieve by redeploying resources and capabilities between related businesses over time, as firms exit some markets while entering others. The transfer of resources due to market exit distinguishes our treatment of inter‐temporal economies of scope from standard intra‐temporal economies of scope. In addition, these inter‐temporal economies can benefit from a decentralized and modular organizational structure. This ability to obtain inter‐temporal economies of scope via organizational modularity and recombination suggests that corporations do not necessarily need a high degree of coordination between business units in order to benefit from a strategy of related diversification. Copyright © 2004 John Wiley & Sons, Ltd.
Subjective memory and strategy use in mild cognitive impairment and healthy aging

information is available about subjective memory and strategy use in seniors with mild cognitive impairment (MCI). We investigated whether differences exist in the perception of changes in memory, perceived frequency of forgetting, overall memory evaluation, and strategy use between seniors with MCI and unimpaired older adults. The study included 56 participants, aged 60 years and older, including 28 normal controls (NC) and 28 MCI patients. The participants completed the Short Cognitive Performance Test, the Story and Grocery list recall tasks, the 15-item Geriatric Depression Scale, the Memory Complaint Questionnaire for the perception of changes in episodic memory, the McNair Frequency of Forgetting Questionnaire, and a single question that evaluated overall memory. The Bousfield semantic clustering measure was calculated to assess semantic clustering for list recall. The number of underlined words during story encoding was calculated to assess strategy use. Participants with MCI had significantly worse scores on Story and Grocery list recall, semantic clustering, and overall memory evaluation. No differences were found in the number of underlined words. List recall was significantly correlated with semantic clustering in both groups (NC: r = .58, p = .001; MCI: r = .57, p = .002). Participants with MCI appeared to be less efficacious when using memory strategies, which may be associated with poor memory performance.
The Use of Sep‐Pak™ C18 Cartridges During the Isolation of Gangliosides

Abstract: The use of Sep‐Pak™ C18 reverse‐phase cartridges to adsorb gangliosides from aqueous solutions was studied. When upper phases formed from chloroform‐methanol tissue extracts or aqueous salt solutions containing gangliosides are rapidly passed through the cartridges, the lipids are retained and the non‐lipid components can be washed through. Gangliosides and other retained lipids can subsequently be eluted with methanol or chloroform‐methanol.
On Noise in Distributed Amplifiers at Microwave Frequencies

Formulas for the noise figure, and the minimum noise figure of a multi-link distributed amplifier have been developed. In addition, a relatively simple approximation formula has been devised that predicts the minimum noise figure of a practical amplifier design with good accuracy up to frequencies of 9 GHz. Finally, after the dependence of the noise characteristics on the circuit parameters is discussed, the noise figures of a 2--18-GHz three-link module are computed and compared with those measured on an actual amplifier. The measured data across the 2--18-GHz band compare favorably with the computed results. Measurements and theory agree that only small improvements in noise figure may he achieved, when noise matching the module's input impedance.
Interactive cognitive-behavioural decision making system

Praca przedstawia wyniki przeksztalcenia modelu psychologicznego czlowieka w interaktywny, poznawczo-behawioralny, system podejmowania decyzji, uwarunkowany zarowno środowiskowo, jak i ze wzgledu na stany spelnienia zalozonych potrzeb. Model ludzkiej psychologii oparty jest na psychologii poznawczej i psychologii osobowości. Zawiera on emocje, potrzeby i struktury ludzkich procesow poznawczych. Opracowany model i sposob realizacji systemu wyrazony jest z wykorzystaniem zbiorow rozmytych oraz sieci neuronowo-rozmytych.
Unsupervised Basis Function Adaptation for Reinforcement Learning

When using reinforcement learning (RL) algorithms it is common, given a large state space, to introduce some form of approximation architecture for the value function (VF). The exact form of this architecture can have a significant effect on an agent's performance, however, and determining a suitable approximation architecture can often be a highly complex task. Consequently there is currently interest among researchers in the potential for allowing RL algorithms to adaptively generate (i.e. to learn) approximation architectures. One relatively unexplored method of adapting approximation architectures involves using feedback regarding the frequency with which an agent has visited certain states to guide which areas of the state space to approximate with greater detail. In this article we will: (a) informally discuss the potential advantages offered by such methods; (b) introduce a new algorithm based on such methods which adapts a state aggregation approximation architecture on-line and is designed for use in conjunction with SARSA; (c) provide theoretical results, in a policy evaluation setting, regarding this particular algorithm's complexity, convergence properties and potential to reduce VF error; and finally (d) test experimentally the extent to which this algorithm can improve performance given a number of different test problems. Taken together our results suggest that our algorithm (and potentially such methods more generally) can provide a versatile and computationally lightweight means of significantly boosting RL performance given suitable conditions which are commonly encountered in practice.
Making Recursions Manipulable by Constructing Medio-types

A catamorphism, generic version of our familiar foldr on lists, is quite a simple recursive scheme associated with data type de nitions. It plays a very important role in program calculation, since for it there exists a general transformation rule known as Promotion Theorem. However, its structure is so tight that many recursions cannot be speci ed by catamorphisms because of their irregular reference to compound data structures. In this paper, aiming at manipulating functions de ned by more general recursive schemes, we propose a method to factorize these functions into a composition of a catamorphism and a type reformer based on the construction of a medio-type { suitable intermediate data type extracted from recursion. Consequently, our method extends the applicability of transformational techniques specially geared to catamorphisms. Some examples are also given to illustrate our idea.
Extended Collaboration Description Language (X-CODL)

Enterprise computing requires seamless collaboration between business parties. One major factor that decides the success of collaboration activities is coordination. In this paper, we introduce an Extended Collaboration Description Language (X-CODL) as a plug in to define collaboration-related coordination requirements in a uniform manner. Bound to multiple coordination points of discussion threads, X-CODL realizes fine-grained coordination control. We also propose a mechanism to formally verify and reason about X-CODL specifications through colored Petri nets
Context-dependent phone models and models adaptation for phonotactic language recognition

The performance of a PPRLM language recognition system depends on the quality and the consistency of phone decoders. To improve the performance of the decoders, this paper investigates the use of context-dependent instead of contextindependent phone models, and the use of CMLLR for model adaptation. This paper also discusses several improvements to the LIMSI 2007 NIST LRE system, including the use of a 4gram language model, score calibration and fusion using the FoCalMulti-class toolkit (with large development data) and better decoding parameters such as phone insertion penalty. The improved system is evaluated on the NIST LRE-2005 and the LRE-2007 evaluation data sets. Despite its simplicity, the system achieves for the 30s condition a Cavg of 2.4% and 1.6% on these data sets, respectively.
Distributed Model Predictive Control of Spatially Decoupled Systems Using Switched Cost Functions

This note investigates the stabilization problem of a class of spatially decoupled systems by applying distributed model predictive control (DMPC) with switched cost functions. The proposed DMPC scheme switches the optimization index on a switching surface generated by control invariant sets. By applying the index-switching strategy, stability of the closed-loop system is ensured by the feasibility of a series of constrained optimal control problems. The stability conditions established in this note does not require terminal equality constraints of the optimization problem, and preserves the quadratic program property that is desired in practical applications. It is also observed that the proposed DMPC scheme has benefits dealing with systems that need to take into account safety-related spatial constraints.
13. Non-nominative (major) subjects and case stacking in Korean

Non-nominative Subject Constructions (NNSCs, hereafter) in Korean have been investigated from a variety of perspectives (Gerdts & Youn 1988, 1999; Youn 1990, 1998; Y-J Kim 1990; KS Hong 1991; Yoon 1996, inter alia). Not surprisingly, the constructions exhibit a number of properties that are found across a wide spectrum of languages that have been claimed to possess NNSCs. In particular, most properties of NNSCs in Korean closely parallel those in Japanese (Shibatani 1999; Ura 1999).
Quasi-diagonal flows

We introduce two notions for flows on quasi-diagonal C*-algebras, quasi-diagonal and pseudo-diagonal flows; the former being apparently stronger than the latter. We derive basic facts about these flows and give various examples. In addition we extend results of Voiculescu from quasi-diagonal C*-algebras to these flows.
Unconventional decoding of the AUA codon as methionine by mitochondrial tRNAMet with the anticodon f5CAU as revealed with a mitochondrial in vitro translation system

Mitochondrial (mt) tRNAMet has the unusual modified nucleotide 5-formylcytidine (f5C) in the first position of the anticodon. This tRNA must translate both AUG and AUA as methionine. By constructing an in vitro translation system from bovine liver mitochondria, we examined the decoding properties of the native mt tRNAMet carrying f5C in the anticodon compared to a transcript that lacks the modification. The native mt Met-tRNA could recognize both AUA and AUG codons as Met, but the corresponding synthetic tRNAMet lacking f5C (anticodon CAU), recognized only the AUG codon in both the codon-dependent ribosomal binding and in vitro translation assays. Furthermore, the Escherichia coli elongator tRNAMetm with the anticodon ac4CAU (ac4C = 4-acetylcytidine) and the bovine cytoplasmic initiator tRNAMet (anticodon CAU) translated only the AUG codon for Met on mt ribosome. The codon recognition patterns of these tRNAs were the same on E. coli ribosomes. These results demonstrate that the f5C modification in mt tRNAMet plays a crucial role in decoding the nonuniversal AUA codon as Met, and that the genetic code variation is compensated by a change in the tRNA anticodon, not by a change in the ribosome. Base pairing models of f5C-G and f5C-A based on the chemical properties of f5C are presented.
The Pseudorabies Virus DNA Polymerase Accessory Subunit UL42 Directs Nuclear Transport of the Holoenzyme

Pseudorabies virus (PRV) DNA replication occurs in the nuclei of infected cells and requires the viral DNA polymerase. The PRV DNA polymerase comprises a catalytic subunit, UL30, and an accessory subunit, UL42, that confers processivity to the enzyme. Its nuclear localization is a prerequisite for its enzymatic function in the initiation of viral DNA replication. However, the mechanisms by which the PRV DNA polymerase holoenzyme enters the nucleus have not been determined. In this study, we characterized the nuclear import pathways of the PRV DNA polymerase catalytic and accessory subunits. Immunofluorescence analysis showed that UL42 localizes independently in the nucleus, whereas UL30 alone predominantly localizes in the cytoplasm. Intriguingly, the localization of UL30 was completely shifted to the nucleus when it was coexpressed with UL42, demonstrating that nuclear transport of UL30 occurs in an UL42-dependent manner. Deletion analysis and site-directed mutagenesis of the two proteins showed that UL42 contains a functional and transferable bipartite nuclear localization signal (NLS) at amino acids 354–370 and that K354, R355, and K367 are important for the NLS function, whereas UL30 has no NLS. Coimmunoprecipitation assays verified that UL42 interacts with importins α3 and α4 through its NLS. In vitro nuclear import assays demonstrated that nuclear accumulation of UL42 is a temperature- and energy-dependent process and requires both importins α and β, confirming that UL42 utilizes the importin α/β-mediated pathway for nuclear entry. In an UL42 NLS-null mutant, the UL42/UL30 heterodimer was completely confined to the cytoplasm when UL42 was coexpressed with UL30, indicating that UL30 utilizes the NLS function of UL42 for its translocation into the nucleus. Collectively, these findings suggest that UL42 contains an importin α/β-mediated bipartite NLS that transports the viral DNA polymerase holoenzyme into the nucleus in an in vitro expression system.