gebhart/patrepeval huggingface dataset:
Steady-state performance limitations of subband adaptive filters (2001)

Nonperfect filterbanks used for subband adaptive filtering (SAF) are known to impose limitations on the steady-state performance of such systems. In this paper, we quantify the minimum mean-square error (MMSE) and the accuracy with which the overall SAF system can model an unknown system that it is set to identify. First, in case of MMSE limits, the error is evaluated based on a power spectral density description of aliased signal components, which is accessible via a source model for the subband signals that we derive. Approximations of the MMSE can be embedded in a signal-to-alias ratio (SAR), which is a factor by which the error power can be reduced by adaptive filtering. With simplifications, SAR only depends on the filterbanks. Second, in case of modeling, we link the accuracy of the SAF system to the filterbank mismatch in perfect reconstruction. When using modulated filterbanks, both error limits-MMSE and inaccuracy-can be linked to the prototype. We explicitly derive this for generalized DFT modulated filterbanks and demonstrate the validity of the analytical error limits and their approximations for a number of examples, whereby the analytically predicted limits of error quantities compare favorably with simulations.
A distributed architecture for real-time evacuation guidance in large smart buildings (2017)

In this paper, we consider the route coordination problem in emergency evacuation of large smart buildings. The building evacuation time is crucial in saving lives in emergency situations caused by imminent natural or man-made threats and disasters. Conventional approaches to evacuation route coordination are static and predefined. They rely on evacuation plans present only at a limited number of building locations and possibly a trained evacuation personnel to resolve unexpected contingencies. Smart buildings today are equipped with sensory infrastructure that can be used for an autonomous situation-aware evacuation guidance optimized in real time. A system providing such a guidance can help in avoiding additional evacuation casualties due to the flaws of the conventional evacuation approaches. Such a system should be robust and scalable to dynamically adapt to the number of evacuees and the size and safety conditions of a building. In this respect, we propose a distributed route recommender architecture for situation-aware evacuation guidance in smart buildings and describe its key modules in detail. We give an example of its functioning dynamics on a use case.
Short-term load forecasting using threshold autoregressive models (1997)

The author presents a method of forecasting the hourly load demand on a power system. The forecasting method uses threshold autoregressive models with the stratification rule. With the proposed threshold model algorithm, fewer parameters are required to capture the random component in load dynamics. The techniques employed herein are the determination of an optimum threshold number and the construction of the threshold. The optimum stratification rule attempts not only to remove any judgmental input, but also to render the threshold process entirely mechanistic. Hence, the results demonstrate the proposed method's effectiveness in terms of improving precision and reliability.
A Joint Intensity and Depth Co-sparse Analysis Model for Depth Map Super-resolution (2013)

High-resolution depth maps can be inferred from low-resolution depth measurements and an additional high-resolution intensity image of the same scene. To that end, we introduce a bimodal co-sparse analysis model, which is able to capture the interdependency of registered intensity and depth information. This model is based on the assumption that the co-supports of corresponding bimodal image structures are aligned when computed by a suitable pair of analysis operators. No analytic form of such operators exist and we propose a method for learning them from a set of registered training signals. This learning process is done offline and returns a bimodal analysis operator that is universally applicable to natural scenes. We use this to exploit the bimodal co-sparse analysis model as a prior for solving inverse problems, which leads to an efficient algorithm for depth map super-resolution.
Efficient spatial resolution reduction transcoding for H.264/AVC (2008)

In this paper, we present a spatial resolution reduction transcoding architecture for H.264/AVC, which extends open-loop transcoding with a low-complexity compensation technique in the reduced-resolution domain. The proposed architecture removes visual artifacts from the transcoded sequence, while keeping complexity significantly lower than more traditional cascaded decoder-encoder architectures. The refinement step of the proposed architecture can be used to further improve rate-distortion performance, at the cost of additional complexity. In this way, a dynamic-complexity transcoder is rendered possible.
Comparison of screening methods for detection of extended-spectrum beta-lactamases and their prevalence among blood isolates of Escherichia coli and Klebsiella spp. in a Belgian teaching hospital (1997)

Using a set of 33 well-defined extended-spectrum beta-lactamase (ESBL)-producing strains of Escherichia coli and Klebsiella pneumoniae, we compared three screening methods for ESBL detection: (i) a double-disk synergy test, (ii) a three-dimensional test (both the double-disk synergy test and the three-dimensional test were performed with ceftriaxone, ceftazidime, aztreonam, and cefepime), and (iii) the Etest ESBL screen (AB Biodisk, Solna, Sweden), based on the recognition of a reduction in the ceftazidime MIC in the presence of clavulanic acid. In the double-disk test, all four indicator antibiotics scored equally and 31 of the 33 reference strains were recognized. In the three-dimensional test, ceftriaxone was the only satisfactory indicator and 30 ESBL-positive strains were detected by this antibiotic. Both systems produced two false-positive results with cefepime. With the Etest ESBL screen, 15 of 16 TEM-related and 11 of 16 SHV-related ESBL-producing strains scored positive. In 10 cases the clavulanic acid on one end of the strip interfered with the MIC determination for ceftazidime, which was read on the opposite end. This MIC had to be determined with an extra ceftazidime-only strip. No false-positive results were noted. Eighty-six blood isolates of E. coli and Klebsiella species were screened for ESBL expression by the double-disk and three-dimensional tests, both with ceftriaxone. Six strains with suspicious antibiogram phenotypes also gave positive results by the double-disk test. One E. coli strain remained undetected by the three-dimensional test. Identification of the enzymes suspected of being ESBLs by isoelectric focusing (all strains) and DNA sequencing (1 strain) confirmed the screening test results except for one Klebsiella oxytoca strain, which proved to be a hyperproducer of its chromosomal enzyme and which also had a negative Etest score. The five true ESBL producers were all confirmed by the Etest ESBL screen. Pulsed-field gel electrophoresis proved that the E. coli strains were unrelated, but that two of the three K. pneumoniae strains were closely related.
Alkyl Chain Barriers for Kinetic Optimization in Dye-Sensitized Solar Cells (2006)

The optimization of interfacial charge transfer is crucial to the design of dye-sensitized solar cells. In this paper we address the dynamics of the charge separation and recombination in liquid-electrolyte and solid-state cells employing a series of amphiphilic ruthenium dyes with varying hydrocarbon chain lengths, acting as an insulating barrier for electron-hole recombination. Dynamics of electron injection, monitored by time-resolved emission spectroscopy, and of charge recombination and regeneration, monitored by transient optical absorption spectroscopy, are correlated with device performance. We find that increasing dye alkyl chain length results in slower charge recombination dynamics to both the dye cation and the redox electrolyte or solid-state hole conductor (spiro-OMeTAD). These slower recombination dynamics are however paralleled by reduced rates for both electron injection into the TiO2 electrode and dye regeneration by the I-/I3- redox couple or spiro-OMeTAD. Kinetic competition between electron recombination with dye cations and dye ground state regeneration by the iodide electrolyte is found to be a key factor for liquid electrolyte cells, with optimum device performance being obtained when the dye regeneration is just fast enough to compete with electron-hole recombination. These results are discussed in terms of the minimization of kinetic redundancy in solid-state and liquid-electrolyte dye-sensitized photovoltaic devices.
A Comparison of Systemic Lupus Erythematosus and Scleroderma Patients with and without Silicone Breast Implants (1996)

The influence of silicone breast implants on patients who develop systemic lupus erythematosus (SLE) and scleroderma are not known. Thirty SLE and 15 scleroderma patients who developed their diseases after under-going augmentation mammoplasty with silicone breast implants were studied. Clinical, laboratory, and treatment features for SLE were compared with age-, sex-, and race-matched controls from our 570-patient cohort. Comparisons were also made with a 75-patient university medical center scleroderma cohort. The SLE implant patients had milder disease but greater frequencies of cutaneous findings, cognitive impairment, and fibromyalgia than SLE patients without implants (p < 0.05). The scleroderma implant group also tended to have milder disease. Of the 45 patients, 26 had their implants removed. Subjective, clinical, and serologic remission after explantation occurred in two of the patients (both with SLE). Twenty-four additional patients had transient subjective improvement or no improvement after explantation; one patient developed malignant hypertension and a scleroderma kidney weeks after explantation.In conclusion, most lupus and scleroderma patients with implants experienced milder, although apparently classical, disease. Dramatic changes in disease course occurred in 3 of the 26 patients immediately after explantation. Because idiopathic disease patients have a 2-10% spontaneous remission rate, more time will be needed to evaluate the natural disease course in the remaining explanted patients.
Alfentanil and recovery (1983)

Forty patients were given alfentanil 8 μg/kg as a supplement to either methohexitone or Althesin anaesthesia. Satisfactory anaesthesia and recovery were seen in all patients. Testing revealed very rapid recovery of psychomotor function. There were no differences between the two groups.
The Dynamic and Stochastic Knapsack Problem (1998)

The Dynamic and Stochastic Knapsack Problem (DSKP) is defined as follows. Items arrive according to a Poisson process in time. Each item has a demand (size) for a limited resource (the knapsack) and an associated reward. The resource requirements and rewards are jointly distributed according to a known probability distribution and become known at the time of the item's arrival. Items can be either accepted or rejected. If an item is accepted, the item's reward is received; and if an item is rejected, a penalty is paid. The problem can be stopped at any time, at which time a terminal value is received, which may depend on the amount of resource remaining. Given the waiting cost and the time horizon of the problem, the objective is to determine the optimal policy that maximizes the expected value (rewards minus costs) accumulated. Assuming that all items have equal sizes but random rewards, optimal solutions are derived for a variety of cost structures and time horizons, and recursive algorithms for computing them are developed. Optimal closed-form solutions are obtained for special cases. The DSKP has applications in freight transportation, in scheduling of batch processors, in selling of assets, and in selection of investment projects.
Targeted Peptidecentric Proteomics Reveals Caspase-7 as a Substrate of the Caspase-1 Inflammasomes (2008)

The aspartate-specific cysteine protease caspase-1 is activated by the inflammasomes and is responsible for the proteolytic maturation of the cytokines IL-1 beta and IL-18 during infection and inflammation. To discover new caspase-1 substrates, we made use of a proteome-wide gel-free differential peptide sorting methodology that allows unambiguous localization of the processing site in addition to identification of the substrate. Of the 1022 proteins that were identified, 20 were found to be specifically cleaved after Asp in the setup incubated with recombinant caspase-1. Interestingly, caspase-7 emerged as one of the identified caspase-1 substrates. Moreover half of the other identified cleavage events occurred at sites closely resembling the consensus caspase-7 recognition sequence DEVD, suggesting caspase-1-mediated activation of endogenous caspase-7 in this setup. Consistently recombinant caspase-1 cleaved caspase-7 at the canonical activation sites Asp(23) and Asp(198), and recombinant caspase-7 processed a subset of the identified substrates. In vivo, caspase-7 activation was observed in conditions known to induce activation of caspase-1, including Salmonella infection and microbial stimuli combined with ATP. Interestingly Salmonella- and lipopolysaccharide + ATP-induced activation of caspase-7 was abolished in macrophages deficient in caspase-1, the pattern recognition receptors Ipaf and Cryopyrin, and the inflammasome adaptor ASC, demonstrating an upstream role for the caspase-1 inflammasomes in caspase-7 activation in vivo. In contrast, caspase-1 and the inflammasomes were not required for caspase-3 activation. In conclusion, we identified 20 new substrates activated downstream of caspase-1 and validated caspase-1-mediated caspase-7 activation in vitro and in knock-out macrophages. These results demonstrate for the first time the existence of a nucleotide binding and oligomerization domain-like receptor/caspase-1/caspase-7 cascade and the existence of distinct activation mechanisms for caspase-3 and -7 in response to microbial stimuli and bacterial infection.
An Eco‐Friendly Synthesis of Electrophilic Alkenes Catalyzed by Dimethylaminopyridine Under Solvent‐Free Conditions (2004)

Electrophilic olefins were synthesized in solvent‐free condition using DMAP (10%mol) as catalyst in excellent yield and E‐geometry. The various aldehydes which are aliphatic, aromatic, and heterocyclics underwent smoothly for Knoevenagel condensation with different active methylene compounds.
Data plan throttling: A simple consumer choice mechanism (2013)

Despite only a small portion of unlimited data plan users experiencing throttling each month, it is a prominent source of complaints from users and a significant concern for mobile network operators. We propose a simple mechanism that allows users to choose when they want their data transmission “fast,” and when they want it “slow.” Users still have the same cap on total high-speed transfer before being throttled, and hence may still be subject to throttling, but now they are given some control. We propose a basic model of payoffs, and demonstrate that the proposed mechanism would be preferable to the user over the throttling policies currently in place. We then consider the impacts that extend beyond a single user, and provide a framework for determining the aggregate effects of such a mechanism.
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition (2018)

Humans can naturally understand an image in depth with the aid of rich knowledge accumulated from daily lives or professions. For example, to achieve fine-grained image recognition (e.g., categorizing hundreds of subordinate categories of birds) usually requires a comprehensive visual concept organization including category labels and part-level attributes. In this work, we investigate how to unify rich professional knowledge with deep neural network architectures and propose a Knowledge-Embedded Representation Learning (KERL) framework for handling the problem of fine-grained image recognition. Specifically, we organize the rich visual concepts in the form of knowledge graph and employ a Gated Graph Neural Network to propagate node message through the graph for generating the knowledge representation. By introducing a novel gated mechanism, our KERL framework incorporates this knowledge representation into the discriminative image feature learning, i.e., implicitly associating the specific attributes with the feature maps. Compared with existing methods of fine-grained image classification, our KERL framework has several appealing properties: i) The embedded high-level knowledge enhances the feature representation, thus facilitating distinguishing the subtle differences among subordinate categories. ii) Our framework can learn feature maps with a meaningful configuration that the highlighted regions finely accord with the nodes (specific attributes) of the knowledge graph. Extensive experiments on the widely used Caltech-UCSD bird dataset demonstrate the superiority of our KERL framework over existing state-of-the-art methods.
Mitochondrial cytochrome <i>c</i> oxidase subunit IV is phosphorylated by an endogenous kinase (1997)

This study was undertaken to identify novel mitochondrial membrane proteins that are potential targets for phosphorylation. Mitochondrial membranes were incubated in the presence of [γ‐ 32 P]ATP and the Triton X‐114 extractable protein was subjected to ion‐exchange and polyacrylamide gel chromatography to purify a major phosphorylated protein of approximately 17 000 Da. The determined peptide sequence of the purified phosphoprotein corresponded to a segment of cytochrome c oxidase subunit IV, an inner membrane protein of 17 160 Da. The identity of the phosphoprotein was confirmed by two‐dimensional electrophoresis and Western blotting. The results identify mitochondrial cytochrome c oxidase subunit IV as a protein which is phosphorylated by an endogenous kinase.
Regioselective One-Pot Synthesis of 9-Alkyl-6-chloropyrido[3,2-<i>e</i>][1,2,4]triazolo[4,3-<i>a</i>]pyrazines. Reactivity of Aliphatic and Aromatic Hydrazides (2005)

[reaction: see text] The one-pot synthesis of new 9-alkyl-6-chloropyrido[3,2-e][1,2,4]triazolo[4,3-a]pyrazines has been achieved. Hydrazides regioselectively reacted as nucleophiles with the 3-chloro substituent of 2,3-dichloropyrido[2,3-b]pyrazine. An intramolecular cyclization afforded the tricycle nonxanthine adenosine receptor antagonists.
Miniaturized dielectric radio frequency filter for 850 MHz band mobile radio (1979)

A newly designed 806 ∼ 947 MHz band RF filter has been developed for the vehicular communication radio. This newly developed filter features a simple structure of miniaturized size and light weight. The new waveguide which makes the basis of the resonator is constructed with a dielectric rod having a thin central conductor, inserted between two parallel plates. The principal modes of the electromagnetic field propagating along the waveguide are the quasi-TEM mode on the lower frequency side and the quasi-TM <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">01</inf> mode on the higher frequency side of the mode coupling frequency. Two new coupling design methods are employed: spacing control and wire control. In the spacing control method, the required amount of coupling is obtained by slightly changing the spacing between adjacent resonators. The wire control method obtains the expected amount of coupling by changing the number of equi-distantly inserted thin wires and their positions. The lowest spurious spectrum is about 2.3 GHz. The unloaded Q (Qu) of the resonator is about 1600, and of the resonator having loop excitation, Qu is about 1000. The relative permittivity of the dielectric is 20.0 and tan δ is 1.1 × 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-4</sup> at 6 GHz.
Molecular weight of silk fibroin (1962)

Abstract The molecular weight of silk fibroin in several different solvent systems has been measured by light‐scattering techniques. The values obtained lie between 250,000 and 450,000, with a tendency to lie fairly close to 300,000. The difference between this value of the molecular weight and the values obtained by other workers is discussed.
A comparison of the new 2400 bps MELP Federal Standard with other standard coders (2002)

In 1996, the U.S. Department of Defense Digital Voice Processing Consortium (DDVPC) selected Texas Instrument's mixed excitation linear prediction (MELP) algorithm as the recommended new Federal Standard for 2400 bps voice communications. The algorithm selection process involved quality, intelligibility, communicability, and recognizability testing in many acoustic noise, error, and tandem conditions. Algorithm complexity was also measured. This paper compares the performance scores, diagnostic information, and complexity of MELP to the 4800 bps Federal Standard (FS1016) code excited linear prediction (CELP) algorithm, the 16 kbps continuously variable slope delta modulation (CVSD) algorithm, and the venerable Federal Standard (FIPS Pub. 137) 2400 bps linear predictive coding (LPC-10) algorithm.
Analogues of Y27632 increase gap junction communication and suppress the formation of transformed NIH3T3 colonies (2009)

These data are the first to suggest that transient blockade of specific kinases can induce a persistent inhibition of non-contact inhibited transformed colony formation and can also remove pre-formed colonies. These effects could potentially be mediated by the observed increase in GJIC between transformed and non-transformed cells. Selection of kinase inhibitors with this property may thus provide a novel strategy for cancer chemoprevention.
Dynamic program parallelization (1992)

Static program analysis limits the performance improvements possible from compile-time parallelization. Dynamic program parallelization shifts a portion of the analysis from complie-time to run-time, thereby enabling optimizations whose static detection is overly expensive or impossible. Lambda tagging and heap resolution are two new techniques for finding loop and non-loop parallelism in imperative, sequential languages with first-class procedures and destructive heap operations ( e.g. , ML and Scheme). Lambda tagging annotates procedures during compilation with a tag that describes the side effects that a procedure's application may cause. During program execution, the program refines and examines tags to identify computations that may safely execute in parallel. Heap resolution uses reference counts to dynamically detect potential heap aliases and to coordinate parallel access to shared structures. An implementation of lambda tagging and heap resolution in an optimizing ML compiler for a shared memory parallel computer demonstrates that the overhead incurred by these run-time methods is easily offset by dynamically-exposed parallelism and that non-trivial procedures can be automatically parallelized with these techniques.