gebhart/patrepeval huggingface dataset:
A Novel Design Method of LCC-S Compensated Inductive Power Transfer System Combining Constant Current and Constant Voltage Mode via Frequency Switching (2021)

Inductive power transfer (IPT) is an attractive wireless power charging option in many applications such as electric vehicle biomedical devices and consumer electronics, etc. Constant current and constant voltage (CC-CV) charging profile is widely used for charging applications due to affecting the life and the reliability of the Li-ion battery. However, the IPT systems that can achieve both CC and CV modes with soft switching are not well studied. This paper presents an inductive power transfer system for wireless charging without a back-end converter, which achieves the required two-stage charging profile with high efficiency by keeping inverters’ soft switching operation. The characteristics of an LCC-S compensation topology have been investigated thoroughly. Two fixed resonant frequencies, whose analytical expressions have been derived, can be found to realize constant current output and constant voltage output respectively under zero-phase angle condition. Besides, an effective tuning method has been presented for zero voltage switching realization to reduce the switching loss. Moreover, a parameter design procedure has been summarized for the wireless charger with a simplified structure and high efficiency. Finally, the method is validated through experiments on a 3.5kW prototype realizing constant current and constant voltage outputs with a peak efficiency of 97.3%.
Join enumeration in a memory-constrained environment (2002)

In today's computing environment, database technology can be found on virtually any device, from traditional mainframes to cellular phones. Sophisticated applications, whether enterprise information portals or sales force automation systems, can 'push' much of their complexity into the database itself; indeed, this represents one of the main benefits of database technology. The challenge, however, is to support these complex applications, and the queries they generate, on small computing devices. We describe a deterministic join enumeration algorithm for left-deep processing trees, currently implemented in Sybase SQL Anywhere, a small-footprint relational database system whose target market ranges from workgroup servers to small hand-held devices. The algorithm is able to efficiently optimize complex queries with high join degree by employing a novel approach to cost based pruning of the search space. We present some empirical performance results on several production queries obtained from SQL Anywhere customers, and show that our approach requires significantly less memory than other deterministic join enumeration algorithms which have been described in the literature.
Evaluation of RNA Blood Biomarkers in Individuals at Risk of Parkinson’s Disease (2017)

These results suggest that some of these biomarkers may be useful for stratification of individuals at risk for PD and that there may be sex differences in the expression of some biomarkers. Future studies in larger longitudinal studies will be key to assessing the validity of these findings.
InAs/InAs<sub>1-x</sub>Sb<sub>x</sub>type-II superlattices for high performance long wavelength infrared detection (2016)

We report InAs/InAs<sub>1-x</sub>Sb<sub>x</sub> type-II superlattice base photodetector as high performance long-wavelength infrared nBn device grown on GaSb substrate. The device has 6 μm-thick absorption region, and shows optical performance with a peak responsivity of 4.47 A/W at 7.9 μm, which is corresponding to the quantum efficiency of 54% at a bias voltage of negative 90 mV, where no anti-reflection coating was used for front-side illumination. At 77K, the photodetector’s 50% cut-off wavelength was ~10 μm. The device shows the detectivity of 2.8x10<sup>11</sup> cm.√Hz/W at 77 K, where RxA and dark current density were 119 Ω•cm<sup>2</sup> and 4.4x10<sup>-4</sup> A/cm<sup>2</sup> , respectively, under -90 mV applied bias voltage.
SVM-based feature extraction and classification of aflatoxin contaminated corn using fluorescence hyperspectral data (2012)

Support Vector Machine (SVM) was used in the Genetic Algorithms (GA) process to select and classify a subset of hyperspectral image bands. The method was applied to fluorescence hyperspectral data for the detection of aflatoxin contamination in Aspergillus flavus infected single corn kernels. In the band selection process, the training sample classification accuracy was used as fitness function. Two aflatoxin thresholds, 20 ppb and 100 ppb, were used to divide the single corn kernels into clean and contaminated samples. The validation accuracy was 87.7% for the 20 ppb threshold and 90.5% for the 100 ppb threshold. The results were generated from the GA selected 36 bands and 11 bands, respectively. Compared to the full wavelength classification, the subset of image bands had slightly better or similar performance. A reduced image space could save time both in spectral data acquisition and analysis, which is crucial in the development of rapid and none invasive methods for contamination detection.
Multiple Independent Binding Sites for Small-Molecule Inhibitors on the Oncoprotein c-Myc (2009)

Deregulation of the c-Myc transcription factor is involved in many types of cancer, making this oncoprotein an attractive target for drug discovery. One approach to its inhibition has been to disrupt the dimeric complex formed between its basic helix-loop-helix leucine zipper (bHLHZip) domain and a similar domain on its dimerization partner, Max. As monomers, bHLHZip proteins are intrinsically disordered (ID). Previously we showed that two c-Myc-Max inhibitors, 10058-F4 and 10074-G5, bound to distinct ID regions of the monomeric c-Myc bHLHZip domain. Here, we use circular dichroism, fluorescence polarization, and NMR to demonstrate the presence of an additional binding site located between those for 10058-F4 and 10074-G5. All seven of the originally identified Myc inhibitors are shown to bind to one of these three discrete sites within the 85-residue bHLHZip domain of c-Myc. These binding sites are composed of short contiguous stretches of amino acids that can selectively and independently bind small molecules. Inhibitor binding induces only local conformational changes, preserves the overall disorder of c-Myc, and inhibits dimerization with Max. NMR experiments further show that binding at one site on c-Myc affects neither the affinity nor the structural changes taking place upon binding to the other sites. Rather, binding can occur simultaneously and independently on the three identified sites. Our results suggest the widespread existence of peptide regions prone to small-molecule binding within ID domains. A rational and generic approach to the inhibition of protein-protein interactions involving ID proteins may therefore be possible through the targeting of ID sequence.
Recent Progress in the Synthetic Methodologies of Peptide Thioesters (2010)

Investigations of biological processes by using peptide, protein, or its derivative are undoubtedly valuable. In this field, chemical synthesis of native or modified peptides/proteins is indispensable. Fragment condensation strategy, such as thioester method or native chemical ligation, is widely used for chemical synthesis of large peptides and proteins. C-Terminal peptide/protein thioesters have been used as building blocks for the fragment condensation strategy. Therefore, development of methodologies for preparing C-terminal peptide/protein thioesters is one of the most attracting theme in recent peptide/protein chemistry field. In this review, the methodologies for preparing C-terminal peptide/protein thioesters utilizing chemistry, biochemistry, or gene engineering are summarized.
Refining the control structure of loops using static analysis (2009)

We present a simple yet useful technique for refining the control structure of loops that occur in imperative programs. Loops containing complex control flow are common in synchronous embedded controllers derived from modeling languages such as Lustre, Esterel, and Simulink/Stateflow. Our approach uses a set of labels to distinguish different control paths inside a given loop. The iterations of the loop are abstracted as a finite state automaton over these labels. Subsequently, we use static analysis techniques to identify infeasible iteration sequences and subtract such forbidden sequences from the initial language to obtain a refinement. In practice, the refinement of control flow sequences often simplifies the control flow patterns in the loop. We have applied the refinement technique to improve the precision of abstract interpretation in the presence of widening. Our experiments on a set of complex reactive loop benchmarks clearly show the utility of our refinement techniques. Abstraction interpretation with our refinement technique was able to verify all the properties for 10 out of the 13 benchmarks, while abstraction interpretation without refinement was able to verify only four. Other potentially useful applications include termination analysis and reverse engineering models from source code.
Physical Habitat Analysis Using the Riverine Community Habitat Assessment and Restoration Concept (RCHARC): Missouri River Case History. (1995)

Abstract: Increased water resources demand in rivers regulated by U.S. Anny Corps of Engineers dams has intensified the conflict between preservation of lotic ecosystems and economic benefits of stream regulation or channel modification. The Riverine Community Habitat and Restoration Concept (RCHARC) facilitates evaluation of effects of different channel configurations or release patterns on fish habitat and can be used to balance water resources development and natural resource preservation. The RCHARC is applied to the Gavins Point Dam tailwater of the Missouri River as a case history to assess the effects of different reservoir release alternatives on habitat for native riverine warmwater fishes. Application of the RCHARC requires four steps. First a comparison standard must be selected against which the project alternatives can be contrasted. Second, hydrologic and hydraulic features of the comparison standard having fish habitat significance are described and summarized as an annual series of monthly depth or velocity frequency distributions. Third, a similar approach is used to describe hydrologic and hydraulic features of the project alternatives. Fourth, the habitat value of each of the project alternatives is determined by similarity of their depth or velocity distributions to the distributions of the standard. The more similar an alternative is to the standard system, the higher it will be ranked.
Comprehensive Evaluation of a Novel Recrosslinkable Preformed Particle Gel for CO2 Sweep Efficiency and Storage Improvement (2023)

Summary To overcome the inherent inferiors of pristine particle gel and in-situ polymer gels, such as the extrusion, dehydration, mechanical vulnerability and thereof defects, a new class of particle gels that can re-crosslink at subterranean conditions, wherein maintaining stable in supercritical CO2, is described in this work. The newly developed particle gel is called CO2 resistant re-crosslinked preformed particle gel (CO2-RPPG). After being placed into target zone, the particles accumulate in the fractures or conduits and then self-recrosslink into a rubber-like bulk gel, which can block the target zone or bypassing zone, and thereby divert the chased fluid (e.g., CO2 or water) to the unswept zone. Therefore, the CO2-RPPG can be used to plug the preferential fluid flow channels in CO2 injection reservoirs and thus improve CO2 sweep efficiency and storage efficiency. In this paper, we will provide a comprehensive evaluation for the novel particle gel to tell where if it can used for CO2 flooding and storage projects for better plugging efficiency. Results show the novel polymer particle gel provides a novel and cost-effective tool to control CO2 injection performance, improve sweep efficiency and storage efficiency for CO2 storage and EOR projects.
Discovering Collective Narratives of Theme Parks from Large Collections of Visitors' Photo Streams (2015)

We present an approach for generating pictorial storylines from large collections of online photo streams shared by visitors to theme parks (e.g. Disneyland), along with publicly available information such as visitor's maps. The story graph visualizes various events and activities recurring across visitors' photo sets, in the form of hierarchically branching narrative structure associated with attractions and districts in theme parks. We first estimate story elements of each photo stream, including the detection of faces and supporting objects, and attraction-based localization. We then create spatio-temporal story graphs via an inference of sparse time-varying directed graphs. Through quantitative evaluation and crowdsourcing-based user studies via Amazon Mechanical Turk, we show that the story graphs serve as a more convenient mid-level data structure to perform photo-based recommendation tasks than other alternatives. We also present storybook-like demo examples regarding exploration, recommendation, and temporal analysis, which may be most beneficial uses of the story graphs to visitors.
Syntheses and antihypertensive activities of 1,4-dihydropyridine-5-phosphonate derivatives. III. (1987)

Various 1-and 2-substituted and 1, 2-fused 1, 4-dihydropyridine-5-phosphonate derivatives were designed and synthesized as analogues of 1, 4-dihydropyridine-3, 5-dicarboxylate, and their antihypertensive activities were examined. Several compounds proved to be equal or superior to nifedipine in lowering blood pressure in normotensive and spontaneously hypertensive rats. Among these compounds, 1-substituted 1, 4-dihydropyridine derivatives showed potent antihypertensive activities. The structure-activity relationships are discussed.
Designing the Polyamine Pharmacophore: Influence of <i>N</i>-Substituents on the Transport Behavior of Polyamine Conjugates (2008)

N-Ethylated N-arylmethyl polyamine conjugates were synthesized and evaluated for their ability to target the polyamine transporter (PAT). To understand the effect of N-ethylation upon PAT selectivity, ethyl groups were appended onto a PAT-selective N (1)-anthracenenylmethyl homospermidine derivative, 1b. Bioevaluation in L1210 murine leukemia cells and in two Chinese hamster ovary cell lines (PAT-active CHO and PAT-deficient CHO-MG) revealed a dramatic decrease in PAT targeting ability upon N (1) or N (5) ethylation of the pharmacophore 1b. Experiments using the amine oxidase inhibitor, aminoguanidine (AG, 2 mM), revealed that the N (9)-ethyl and N (9)-methyl analogues were able to retain their PAT selectivity and cytotoxicity properties in the presence or absence of AG. In contrast, the lead compound 1b (containing a terminal NH 2 group) revealed a dramatic reduction in both its PAT-targeting ability and cytotoxicity in the absence of AG. An improved balance between these three properties of PAT-targeting, cytotoxicity and metabolic stability can be attained via N-methylation at the N (9)-position.
Atlas-based method for model updating in image-guided liver surgery (2007)

Similar to the well documented brain shift experienced during neurosurgical procedures, intra-operative soft tissue deformation in open hepatic resections is the primary source of error in current image-guided liver surgery (IGLS) systems. The use of bio-mechanical models has shown promise in providing the link between the deformed, intra-operative patient anatomy and the pre-operative image data. More specifically, the current protocol for deformation compensation in IGLS involves the determination of displacements via registration of intra-operatively acquired sparse data and subsequent use of the displacements to drive solution of a linear elastic model via the finite element method (FEM). However, direct solution of the model during the surgical procedure has several logistical limitations including computational time and the ability to accurately prescribe boundary conditions and material properties. Recently, approaches utilizing an atlas of pre-operatively computed model solutions based on <i>a priori</i> information concerning the surgical loading conditions have been proposed as a more realistic avenue for intra-operative deformation compensation. Similar to previous work, we propose the use of a simple linear inverse model to match the intra-operatively acquired data to the pre-operatively computed atlas. Additionally, an iterative approach is implemented whereby point correspondence is updated during the matching process, being that the correspondence between intra-operative data and the pre-operatively computed atlas is not explicitly known in liver applications. Preliminary validation experiments of the proposed algorithm were performed using both simulation and phantom data. The proposed method provided comparable results in the phantom experiments with those obtained using the traditional incremental FEM approach.
A Novel Series of [2-[Methyl(2-phenethyl)amino]-2-oxoethyl]benzene-Containing Leukotriene B<sub>4</sub> Antagonists:  Initial Structure−Activity Relationships (1996)

This report describes the synthesis of a new class of LTB4 receptor antagonists containing [2-[methyl(2-phenethyl)amino]-2-oxoethyl]benzene as a key binding domain for interaction with high-affinity LTB4 receptors. In addition to this binding domain, two other structural features, an acid function and a lipophilic group, are also required by these compounds for high binding affinity. Our studies indicate that maximal binding affinity in this series is controlled by the spatial relationship of these groups relative to one another. The structure-activity relationships are discussed. The most potent compound in this chemical series, (E)-5-[2-[methyl(2-phenethyl)-amino]-2-oxoethyl]-2-(benzyloxy)cinn amic acid (32), has an IC50 of 2 nM in a guinea pig spleen cell membrane assay. In the whole-cell human neutrophils binding assay, (Z)-5-[2-[methyl-(2-phenethyl)amino]-2-oxoethyl]-2-(benzyloxy)cinn amic acid (30) was the most potent compound with an IC50 of 50 nM.
Objective speech intelligibility measurement on the basis of natural speech in combination with perceptual modeling (2009)

The relation between subjective and objective speech intelligibility measurements is researched. For a large series of speech degradations, noise, linear and nonlinear distortions (speech codecs), intelligibility tests were carried out using short CVC words. In the subjective domain the percentage correctly identified words is taken as the intelligibility score for a certain type of degradation. In the objective domain ITU-T Recommendation P.862 is used as the starting point to develop a perceptual model that allows predicting the perceived intelligibility of a speech fragment.
A novel probabilistic framework for event-based speech recognition (2003)

One of the reasons for unsatisfactory performance of the state-of-the-art automatic speech recognition (ASR) systems is the inferior acoustic modeling of low-level acoustic-phonetic information in the speech signal. An acoustic-phonetic approach to ASR, on the other hand, explicitly targets linguistic information in the speech signal, but such a system for continuous speech recognition (CSR) is not known to exist. A probabilistic and statistical framework for CSR based on the idea of the representation of speech sounds by bundles of binary valued articulatory phonetic features is proposed. Multiple probabilistic sequences of linguistically motivated landmarks are obtained using binary classifiers of manner phonetic features—syllabic, sonorant and continuant—and the knowledge-based acoustic parameters (APs) that are acoustic correlates of those features. The landmarks are then used for the extraction of knowledge-based APs for source and place phonetic features and their binary classification. Probabilistic landmark sequences are constrained using manner class language models for isolated or connected word recognition. The proposed method could overcome the disadvantages encountered by the early acoustic-phonetic knowledge-based systems that led the ASR community to switch to systems highly dependent on statistical pattern analysis methods and probabilistic language or grammar models.
Chemical Disinfection of Holding-Tank Sewage (1974)

A number of chemical disinfectants were evaluated for their bactericidal and virucidal effectiveness in holding-tank sewage. It was found that the disinfection efficiencies of formaldehyde, benzalkonium chloride, cetylpyridinium chloride, and methylene blue were markedly improved if the pH of the sewage was raised from 8.0 to 10.5. When formaldehyde, benzalkonium chloride, and methylene blue were tested with either 2-week holding times with no sewage additions or 10-day holding times with daily sewage additions, disinfection effectiveness was maintained as long as the sewage pH was kept at 10.5 and the disinfectant concentration was kept at 100 mg/liter or more. Calcium hypochlorite, zinc sulfate, and phenol were found to be relatively ineffective disinfectants for holding-tank sewage.
Advanced misfire detection using adaptive signal processing (2004)

Abstract This article addresses the problem of internal combustion engine misfire detection. Specific attention is paid to misfire detection using crankshaft speed measurements. After an initial analysis of the problem, the applicability of advanced signal processing methods to its solution is discussed. We demonstrate how adaptive filtering techniques can lead to improved misfire detection accuracy. This can lead to reduced mis‐detection as well as false alarm rates. The general concept of estimating and removing periodic, time‐varying components may also be applied to other automotive problems. Copyright © 2004 John Wiley & Sons, Ltd.
Inhibition of Yogurt Starter Cultures by Jenseniin G, a Propionibacterium Bacteriocin (1997)

Jenseniin G, a heat-stable bacteriocin that is produced by Propionibacterium jensenii P126 (ATCC 4872), inhibits Lactobacillus delbrueckii ssp. bulgaricus NCDO 1489. The purpose of this investigation was to examine effects of jenseniin G on growth and acid production by additional yogurt starter cultures including strains of L. delbrueckii ssp. bulgaricus and Streptococcus thermophilus. Yogurt starters were examined for inhibition by jenseniin G in agar and broth culture media and in skim milk. Jenseniin G inhibited all 12 yogurt starter cultures. Lactobacilli were 2 to 16 times more sensitive than were streptococci. Addition of jenseniin G to broth and milk cultures of starters prevented growth. Addition of jenseniin G (20 to 60 AU/ml) to stationary phase cultures of lactobacilli and streptococci in simulated yogurt limited acid formation and maintained acidity at pH 4.15 to 4.42 for 30 d at 5C. The yogurt contained more than 10 7 viable organisms/ml, which met the requirements for the Live and Active Cultures seal of the National Yogurt Association. These data suggest the usefulness of jenseniin G in preventing overacidification or postacidification of yogurt.