gebhart/patrepeval huggingface dataset:
A frequency-domain adaptive filter (FDAF) prediction error method and ARLS for speech echo cancellation (2016)

Technological influence on society has made man to depend more on human computer interactions in his day to day life. Removal of unwanted and rebound of sound from speech signal is must to enhance the clarity of the voice in such interactions. A novel frequency domain adaptive algorithm to eliminate rebound sound effect in speech signal inside an auditorium is presented here. The forgetting Factor (λ) on which steadiness of adaptive algorithm depends is kept constant in the suggested RLS algorithm. To enhance the computational power and confluence rate, a frequency domain dynamic filter algorithm is often utilized in abolishment of acoustic feedback. However, the correct step size is always an adjustment between the confluence rate and the stable-state performance. To solve this problem, Nitsch adapted a varying step-size procedure, where the step size is modified by spectral confluence state. A novel methodology to estimate the optimal step size is the subject of this paper. In addition, an artificial delay is inserted in the way of signal to estimate the time-domain system mismatch. Both flat stable-state misadjustment and quick confluence are achieved by the designed algorithm. Simulation results exhibit the effectiveness and the sturdiness of the designed method. At last, MATLAB is used to execute suggested algorithm and the experimentation outcomes demonstrated that the suggested average RLS and optimal step size is compared.
Space Charge Segregation at Grain Boundaries in Titanium Dioxide: II, Model Experiments (1993)

A quantitative study of space charge solute segregation at grain boundaries in TiO 2 is conducted, using a new STEM method for the measurement of aliovalent solute accumulation. It is shown that the electrostatic potential at grain boundaries can be varied in sign and magnitude with doping, oxygen pressure, and temperature, and that the isoelectric point lies in slightly donor‐doped compositions for samples annealed in air. The experimental results closely fit the space charge model in Part I. Space charge solute segregation is found even in defect regimes of high electron concentration. Approximately one in ten grain boundaries are “special” in exhibiting no detectable segregation; in one such instance a twin boundary is identified. Among boundaries with significant amounts of segregation, clear differences in potential also exist. From the potential determined in acceptor‐ and donor‐doped compositions, the Frenkel energy (assumed to be lower than the Schottky energy in TiO 2 ) can be separated into its individual terms. An average value for the titanium vacancy formation energy of g vTi = 2.4 eV and an upper limit to the titanium interstitial formation energy of g Tii = 2.6 eV are obtained.
<i>N‐locking</i> stabilization of covalent helical peptides: Application to Bfl‐1 antagonists (2020)

Recently, it was reported that tetrapeptides cyclized via lactam bond between the amino terminus and a glutamic residue in position 4 (termed here N-lock) can nucleate helix formation in longer peptides. We applied such strategy to derive N-locked covalent BH3 peptides that were designed to selectively target the anti-apoptotic protein Bfl-1. The resulting agents were soluble in aqueous buffer and displayed a remarkable (low nanomolar) affinity for Bfl-1 and cellular activity. The crystal structure of the complex between such N-locked covalent peptide and Bfl-1 provided insights on the geometry of the N-locking strategy and of the covalent bond between the agent and Bfl-1.
Spectroscopic determination of the second dissociation constant of hydrogen selenide and the activity coefficients and spectral shifts of its ions (1990)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTSpectroscopic determination of the second dissociation constant of hydrogen selenide and the activity coefficients and spectral shifts of its ionsDaniel E. Levy and Rollie J. MyersCite this: J. Phys. Chem. 1990, 94, 20, 7842–7847Publication Date (Print):October 1, 1990Publication History Published online1 May 2002Published inissue 1 October 1990https://pubs.acs.org/doi/10.1021/j100383a020https://doi.org/10.1021/j100383a020research-articleACS PublicationsRequest reuse permissionsArticle Views156Altmetric-Citations16LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access options Get e-Alerts
Cooperative Adaptive Cruise Control With Robustness Against Communication Delay: An Approach in the Space Domain (2020)

In this research, an optimal control-based Cooperative Adaptive Cruise Control (CACC) system is proposed. The proposed system is able to enforce a target time gap between platoon members and is formulated in the space domain instead of the time domain which is adopted by most optimal control-based CACC systems in the past. By having this change, its robustness against communication failure is greatly improved and thus minimum safety headway buffer is reduced which leads to better mobility. In addition, third-order vehicle dynamics are modeled into the proposed control in order to improve control precision when implemented in the field. Local stability and string stability are theoretically proven. The proposed system is evaluated by simulation. Results reveal that the proposed CACC system outperforms the state-of-the-art <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> synthesis-based controller and linear feedback-based controller. The benefit of fuel consumption reduction ranges from 0.35% to 16.11%, while the benefit of CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> emission ranges from 0.48% to 12.40%. Furthermore, the proposed CACC improves local stability from 11.03% to 25.90%, and string stability by up to 23.82%. The computation speed of the proposed method is 1.26 ms (with prediction horizon as 1.5 s and resolution as 0.1 s) on a regular laptop which indicates the proposed system's potential to be applied in real-time.
<title>Enhanced video viewing from metadata</title> (2001)

Current advanced television concepts envision data broadcasting along with the video stream, which is used by interactive applications at the client end. In this case, these applications do not proactively personalize the experience and may not allow user requests for additional information. We propose content enhancement using automatic retrieval of additional information based on video content and user interests. Our paper describes Video Retriever Genie, a system that enhances content with additional information based on metadata that provides semantics for the content. The system is based on a digital TV (Philips TriMedia) platform. We enhance content through user queries that define information extraction tasks that retrieve information from the Web. We present several examples of content enhancement such as additional movie character/actor information, financial information and weather alerts. Our system builds a bridge between the traditional TV viewing and the domain of personal computing and Internet. The boundaries between these domains are dissolving and this system demonstrates one effective approach for content enhancement. In addition, we illustrate our discussion with examples from two existing standards - MPEG-7 and TV-Anytime.
Heterologous expression of the alpha-amylase inhibitor gene cloned from an amplified genomic sequence of Streptomyces tendae (1989)

The coding region for a secreted proteinaceous inhibitor of the human alpha-amylase (tendamistat; HOE 467) was identified by using a synthetic oligonucleotide probe. The gene is part of a 37-kilobase amplified genomic sequence found in an overproducing mutant of Streptomyces tendae. After subcloning, sequence analysis revealed an open reading frame of 312 base pairs preceded by a putative ribosome-binding site. The reading frame is 30 codons longer than necessary for the mature protein. This sequence coded for an amino-terminal extension of tendamistat and shows typical features of a signal peptide. After being cloned into Streptomyces vector plasmids and transformed to the heterologous host, Streptomyces lividans TK24, the gene was expressed, and the alpha-amylase inhibitor was correctly processed and secreted into the culture medium. The amount of secreted protein was dependent on the gene dosage and on the promoter arrangement.
Abnormally high digestive enzyme activity and gene expression explain the contemporary evolution of a <i>Diabrotica</i> biotype able to feed on soybeans (2012)

Western corn rootworm (Diabrotica virgifera) (WCR) depends on the continuous availability of corn. Broad adoption of annual crop rotation between corn (Zea mays) and nonhost soybean (Glycine max) exploited WCR biology to provide excellent WCR control, but this practice dramatically reduced landscape heterogeneity in East-central Illinois and imposed intense selection pressure. This selection resulted in behavioral changes and "rotation-resistant" (RR) WCR adults. Although soybeans are well defended against Coleopteran insects by cysteine protease inhibitors, RR-WCR feed on soybean foliage and remain long enough to deposit eggs that will hatch the following spring and larvae will feed on roots of planted corn. Other than documenting changes in insect mobility and egg laying behavior, 15 years of research have failed to identify any diagnostic differences between wild-type (WT)- and RR-WCR or a mechanism that allows for prolonged RR-WCR feeding and survival in soybean fields. We documented differences in behavior, physiology, digestive protease activity (threefold to fourfold increases), and protease gene expression in the gut of RR-WCR adults. Our data suggest that higher constitutive activity levels of cathepsin L are part of the mechanism that enables populations of WCR to circumvent soybean defenses, and thus, crop rotation. These new insights into the mechanism of WCR tolerance of soybean herbivory transcend the issue of RR-WCR diagnostics and management to link changes in insect gut proteolytic activity and behavior with landscape heterogeneity. The RR-WCR illustrates how agro-ecological factors can affect the evolution of insects in human-altered ecosystems.
A Survey of Mobility Management in Hybrid Wireless Mesh Networks (2008)

Mobility management is vital for realizing large-scale wireless mesh networks to provide cost-effective broadband Internet access. Although a considerable amount of research on mobility management for cellular, mobile IP, and mobile ad hoc networks has been proposed, mobility management for IP-based hybrid WMNs, including the mobility support from both the network and link layers, remains largely unexplored. Traditional mobility management mechanisms, when applied to hybrid WMNs, may cause significant performance degradation because of the overlooking of key features of WMNs. Challenges arising from multihop wireless communications require the design of new mobility management techniques in WMNs. In this article, mobility management in IP-based hybrid WMNs is investigated. The motivation for mobility management in WMNs is explained, and the existing work is surveyed. To address the new challenges, various open design issues also are presented.
Effect of Al Precursor Type on Mesoporous Alumina Particles Prepared by Spray Pyrolysis (2010)

Mesoporous alumina particles were prepared by spray pyrolysis using cetyltrimethyl-ammonium bromide (CTAB) as a structure directing agent and the effect of Al precursor types on the texture properties was studied using N_2 adsorption isotherms, small-angle X-ray scattering (SAXS), scanning electron microscopy (SEM), and transmission electron microscopy (TEM). The surface area and the microstructure of alumina particles were significantly influenced by the Al precursor type. The largest BET surface area was obtained when Al chloride was used, whereas alumina particles prepared from Al acetate had the largest pore volume. According to small-angle X-ray scattering (SAXS) analysis, the alumina powders prepared using nitrate and acetate precursors had a clear single SAXS peak around 2theta=1.0sim1.5°, indicating that regular mesopores with sponge-like structure were produced. On the basis of TEM, SAXS, and N_2 isotherm results, the chloride precursor was most profitable to obtain the largest surface area (265;m2/g), whereas, the nitrate precursor is useful for the preparation of non-hollow mesoporous alumina with regular pore size, maintaining high surface area (sim233;m2/g).
Operation of a superconductive demultiplexer using rapid single flux quantum (RSFQ) technology (1995)

A superconductive demultiplexer was designed, simulated, and tested as an interface between ultra-fast superconductive circuits and slower room-temperature electronics. The modular RSFQ shift-and-dump circuit was designed as a register of Non-Destructive Read-Out (NDRO) cells, which are timed by pulses from the system clock. Data is read out from a 1:N demultiplexer every N clock periods by applying a read-out pulse to the register's NDRO input. Circuit simulations and results for the successful experimental test of a 2-stage demultiplexer will be discussed.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Distributed estimation via dual decomposition (2007)

The focus of this paper is to develop a framework for distributed estimation via convex optimization. We deal with a network of complex sensor subsystems with local estimation and signal processing. More specifically, the sensor subsystems locally solve a maximum likelihood (or maximum a posteriori probability) estimation problem by maximizing a (strictly) concave log-likelihood function subject to convex constraints. These local implementations are not revealed outside the subsystem. The subsystems interact with one another via convex coupling constraints. We discuss a distributed estimation scheme to fuse the local subsystem estimates into a globally optimal estimate that satisfies the coupling constraints. The approach uses dual decomposition techniques in combination with the subgradient method to develop a simple distributed estimation algorithm. Many existing methods of data fusion are suboptimal, i.e., they do not maximize the log-likelihood exactly but rather `fuse' partial results from many processors. For linear gaussian formulation, least mean square (LMS) consensus provides optimal (maximum likelihood) solution. The main contribution of this work is to provide a new approach for data fusion which is based on distributed convex optimization. It applies to a class of problems, described by concave log-likelihood functions, which is much broader than the LMS consensus setup.
Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling (2016)

Recurrent Neural Network (RNN) and one of its specific architectures, Long Short-Term Memory (LSTM), have been widely used for sequence labeling. In this paper, we first enhance LSTM-based sequence labeling to explicitly model label dependencies. Then we propose another enhancement to incorporate the global information spanning over the whole input sequence. The latter proposed method, encoder-labeler LSTM, first encodes the whole input sequence into a fixed length vector with the encoder LSTM, and then uses this encoded vector as the initial state of another LSTM for sequence labeling. Combining these methods, we can predict the label sequence with considering label dependencies and information of whole input sequence. In the experiments of a slot filling task, which is an essential component of natural language understanding, with using the standard ATIS corpus, we achieved the state-of-the-art F1-score of 95.66%.
A framework for objective performance evaluation for digital font reconstruction (2016)

Optical Character Recognition (OCR) systems have been around for a long time. However, the need for such systems goes further than just the need to convert a scanned document into a text file. There is also a need to produce a more appealing and refine reconstructed fonts. Recently, many research works in font reconstruction have shown successful and encouraging results. However, the usual way of evaluating the performance of font reconstruction is through visual inspection which is very subjective in nature, and arduous for a more perfect and objective evaluation. Therefore, the main objective of this paper is to present a framework for an objective performance evaluation method that can be used to compare a reconstructed font with its original counterpart. Thus, it will involve studying the nature of the current and existing digital fonts and then formulate a method to compare character glyph of the created font with its corresponding original font. From this framework, it is expected that font reconstruction would be made more refine and the evaluation can be made more objective and less arduous than using the human eye, and old and rare documents can be more readily available for users in digital format with better precision in particular on tablets and other resource-constrained devices.
The solar flare myth (1993)

Many years of research have demonstrated that large, nonrecurrent geomagnetic storms, shock wave disturbances in the solar wind, and energetic particle events in interplanetary space often occur in close association with large solar flares. This result has led to a paradigm of cause and effect ‐ that large solar flares are the fundamental cause of these events in the near‐Earth space environment. This paradigm, which I call “the solar flare myth,” dominates the popular perception of the relationship between solar activity and interplanetary and geomagnetic events and has provided much of the pragmatic rationale for the study of the solar flare phenomenon. Yet there is good evidence that this paradigm is wrong and that flares do not generally play a central role in producing major transient disturbances in the near‐Earth space environment. In this paper I outline a different paradigm of cause and effect that removes solar flares from their central position in the chain of events leading from the Sun to near‐Earth space. Instead, this central role is given to events known as coronal mass ejections.
Abstract 009: Microclinic Social Network Lifestyle Intervention for Weight Loss and Obesity Management: A 10-Month Randomized Controlled Trial (2013)

BACKGROUND: Lifestyle behaviors and health conditions, such as obesity, smoking, and alcohol use, are observed to contagiously propagate in social networks. However, to date, such effects have only...
Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks (2017)

In de novo drug design, computational strategies are used to generate novel molecules with good affinity to the desired biological target. In this work, we show that recurrent neural networks can be trained as generative models for molecular structures, similar to statistical language models in natural language processing. We demonstrate that the properties of the generated molecules correlate very well with the properties of the molecules used to train the model. In order to enrich libraries with molecules active towards a given biological target, we propose to fine-tune the model with small sets of molecules, which are known to be active against that target. Against Staphylococcus aureus, the model reproduced 14% of 6051 hold-out test molecules that medicinal chemists designed, whereas against Plasmodium falciparum (Malaria) it reproduced 28% of 1240 test molecules. When coupled with a scoring function, our model can perform the complete de novo drug design cycle to generate large sets of novel molecules for drug discovery.
Heteromeric Assembly of Human Ether-à-go-go-related Gene (hERG) 1a/1b Channels Occurs Cotranslationally via N-terminal Interactions (2007)

Alternate transcripts of the human ether-à-go-go-related gene (hERG1) encode two subunits, hERG 1a and 1b, which form potassium channels regulating cardiac repolarization, neuronal firing frequency, and neoplastic cell growth. The 1a and 1b subunits are identical except for their unique, cytoplasmic N termini, and they readily co-assemble in heterologous and native systems. We tested the hypothesis that interactions of nascent N termini promote heteromeric assembly of 1a and 1b subunits. We found that 1a and 1b N-terminal fragments bind in a direct and dose-dependent manner. hERG1 hetero-oligomerization occurs in the endoplasmic reticulum where co-expression of N-terminal fragments with hERG1 subunits disrupted oligomerization and core glycosylation. The disruption of core glycosylation, a cotranslational event, allows us to pinpoint these N-terminal interactions to the earliest steps in biogenesis. Thus, N-terminal interactions mediate hERG 1a/1b assembly, a process whose perturbation may represent a new mechanism for disease.
Decoupling Translation Lookaside Buffer Coherence from Cache Coherence (2017)

Many multicore and manycore architectures support hardware cache coherence. However, most of them rely on software techniques to maintain Translation Lookaside Buffer (TLB) coherence, namely the TLB shootdown routine, which is a costly procedure, known to be hardly scalable.The TSAR architecture is a manycore architecture including hardware TLB coherence, but in which the TLB coherence mechanism is tightly coupled to the cache coherence protocol, resulting in useless TLB invalidations. We propose to improve this existing TLB coherence scheme by adding a hardware module which allows separating data from metadata for cache lines containing address translation. This allows to eliminate the need to invalidate TLB entries when a line containing a translation is evicted from the L1 cache.Our solution does not modify the cache coherence protocol, does not increase the critical path in the L1 cache, and even results in little memory savings. Performance results show that our solution allows to eliminate from 90% to 95% of TLB scans operations, and from 50% to 80% of TLB flushes. This in turn results in an overall performance improvement of 5% to 20% of execution times on a 16-core architecture.