gebhart/patrepeval huggingface dataset:
Rover Technology: Enabling Scalable Location-Aware Computing (2002)

Location-aware computing involves the automatic tailoring of information and services based on the current location of the user. We have designed and implemented Rover, a system that enables location-based services, as well as the traditional time-aware, user-aware and device-aware services. To achieve system scalability to very large client sets, Rover servers are implemented in an “action-based ” concurrent software architecture that enables fine-grained application-specific scheduling of tasks. We have demonstrated feasability through implementations for both outdoor and indoor environments on multiple platforms. 1
Using a forehead reflectance pulse oximeter to detect changes in sympathetic tone (2005)

The extreme conditions of combat and multi-casualty rescue often make field triage difficult and put the medic or first responder at risk. In an effort to improve field triage, we have developed an automated remote triage system called ARTEMIS (automated remote triage and emergency management information system) for use in the battlefield or disaster zone. Common to field injuries is a sudden change in arterial pressure resulting from massive blood loss or shock. In effort to stabilize the arterial pressure, the sympathetic system is strongly activated and sympathetic tone is increased. This preliminary research seeks to empirically demonstrate that a forehead reflectance pulse oximeter is a viable sensor for detecting sudden changes in sympathetic tone. We performed the classic supine-standing experiment and collected the raw waveform, the photoplethysmogram (PPG), continuously using a forehead reflectance pulse oximeter. The resulting waveform was processed in Matlab using various spectral analysis techniques (FFT and AR). Our preliminary results show that a relative ratio analysis (low frequency power/high frequency power) for both the raw PPG signal and its derived pulse statistics (height, beat-to-beat interval) is a useful technique for detecting change in sympathetic tone resulting from positional change.
Specific anti‐fibroblast cytotoxicity of antibodies to fibroblast surface antigen (1976)

An antiserum to SF antigen was shown to be selectively cytotoxic to two human fibroblast lines, while two tumor cell lines (one melanoma and one Hela cell line) were resistant. The selective cytotoxicity was also demonstrable in mixtures of fibroblasts and tumor cells. The cytotoxic effect was abrogated by admixture of human serum containing SFA.
Expedient Diels–Alder cycloadditions with ortho-quinodimethanes in a high temperature/pressure flow reactor (2017)

We describe herein Diels–Alder cycloadditions enabled by the efficient ring-opening of benzocyclobutenes and benzothiophene-2,2-dioxides using a high temperature/pressure flow reactor.
Performance evaluation of surge energy regenerative two-switch power supply with TEC values (2015)

In recent years, environmental problems and consumer requirements encourage more and more high efficiency and miniaturized electronic devices. In addition to that, since smaller Typical Electricity Consumption (TEC) values of office automation equipment are requested, it is necessary to realize high efficiency in a wide operating range from the energy saving mode (about 0.5W) to the rating mode (about several hundreds of watts). Furthermore, the coexistence of energy saving and low cost is hard to be achieved in conventional power supply. In this paper, a new DC-DC converter with a surge energy regeneration circuit topology is studied. A small inductor is positively attached to the power transformer to realize a high efficiency and a low noise performance. The circuit operation analysis and the results of both simulations and experiments are addressed. In this paper, various circuit topologies are built to carry out the efficiency comparison and performance evaluation with TEC values.
Machine-Learned Background Quantification for Filtered Rayleigh Scattering Measurement Processing (2023)

View Video Presentation: https://doi.org/10.2514/6.2023-1373.vid Processing filtered Rayleigh scattering (FRS) data is currently a non-trivial, computationally expensive process that attempts to minimize a multivariate, least-squares fit algorithm to obtain approximations of three-component velocity, static density, static temperature, Mie (particle) scattering contribution, and background (geometric) scattering contribution. This approach aims to fit a measured FRS spectrum to a simulated spectrum with known flow properties of interest for every pixel captured in an image set during the measurement. Considering that images may contain millions of pixels, solving this minimization problem for each pixel can be cumbersome. The current work uses a machine learning approach that leverages the multi-layer perceptron (MLP) to solve the inverse problem of determining desired flow properties from FRS spectra. As a proof of concept, the only properties considered as predicted outputs for this development were velocity and background scattering contribution. The trained machine learning models were tested on a simulated FRS experiment with an artificial addition of background. These models were able to predict the desired velocity field to an accuracy of 0.6 m/s RMSE and solved the full plane of predicted properties for a 20x20 resolution image in 100 ��sec on one core processor. When compared to a standard least-squares approach, which solved for velocity on 10 core processors in around 10 minutes, this machine learning approach provides an impressive speed-up.
Strategie a techniky kontroly znečištění pro spalovací procesy (2008)

Bakalářská práce se zabývá problematikou spalovacích procesů. V práci je uveden přehled a popis jednotlivých konstrukčních parametrů spalovacího zařízení a jejich vlivu na tvorbu emisí. Práce dále popisuje jednotlivé druhy emisí vznikajících při spalování, jejich vliv na životní prostředí a techniky používané pro jejich redukci. Práci uzavírá kapitola s přehledem emisních limitů v ČR.
Skeletal muscle thermogenesis enables aquatic life in the smallest marine mammal (2021)

Basal metabolic rate generally scales with body mass in mammals, and variation from predicted levels indicates adaptive metabolic remodeling. As a thermogenic adaptation for living in cool water, sea otters have a basal metabolic rate approximately three times that of the predicted rate; however, the tissue-level source of this hypermetabolism is unknown. Because skeletal muscle is a major determinant of whole-body metabolism, we characterized respiratory capacity and thermogenic leak in sea otter muscle. Compared with that of previously sampled mammals, thermogenic muscle leak capacity was elevated and could account for sea otter hypermetabolism. Muscle respiratory capacity was modestly elevated and reached adult levels in neonates. Premature metabolic development and high leak rate indicate that sea otter muscle metabolism is regulated by thermogenic demand and is the source of basal hypermetabolism.
Single Base Substitution in Codon 74 of the MD Rat Myelin Proteolipid Protein Genea (1990)

The myelin-deficient (md) rat is one of several X-linked animal mutants that have severe dysmyelination in the central nervous system. It appears in all to be the result of mutations in the myelin proteolipid protein gene which is located on the long arm of the X-chromosome. To identify the md rat mutation, we isolated and sequenced cDNAs corresponding to PLP and DM-20 mRNAs from the brain of hemizygous affected males. The only consistent sequence difference between these and normal rat sequences was the substitution of a C for an A at the first position of codon 74, resulting in a threonine to proline amino acid change. The presence of this helix-breaking amino acid in the second hydrophobic alpha-helical segment of the protein might be expected to influence its ability to interact with the membrane. PCR amplification and sequencing of the corresponding genomic regions were used to confirm the presence of the single base change in the hemizygote and both normal and mutant versions in the heterozygotes. It is interesting that this change, like those detected in other X-linked myelin disorders, involves an amino acid replacement within a hydrophobic alpha-helical segment of the PLP protein. Disruption of these structures apparently has severe consequences for the ability of PLP to contribute normally to myelination.
RNA-sequencing analysis of core binding factor AML identifies recurrent ZBTB7A mutations and defines RUNX1-CBFA2T3 fusion signature (2016)

To the editor:

RUNX1 (also known as AML1 or CBFA2 ) and CBFB encode the α and β subunits of a heterodimeric core binding transcription factor complex involved in the development of normal hematopoiesis (reviewed by de Bruijn and Speck[1][1]). Both genes are rearranged in acute myeloid leukemia (
Real-space renormalization-group study of theZ(5)model (1981)

The phase diagram of the nearest-neighbor $Z(5)$ model on the square and triangular lattices is investigated using techniques of the real-space renormalization group. We use the recently introduced technique of Nienhuis, Berker, Riedel, and Schick, which yields the expected first-order transition on the Potts subspace of the $Z(5)$ model on the triangular lattice. For the general $Z(5)$ model we obtain a line of first-order transitions which crosses over into a line of second-order transitions. The same technique when applied to the square lattice is found to show this crossover behavior only in combination with a Migdal procedure.
Reductive Carbonylation of High‐Valent Oxorhenium Complexes—a New Route to Low‐Valent Carbonylrhenium Compounds (1986)

Organorhenium(III) compunds with hitherto unknown metallacyclic structures such as 2 can be synthesized by way of the title reaction from rhenium(V) precursors such as 1. In the example 1→2, a change from O,O- to C,O-coordination of the diphenylethenediolato ligand accompanies the reduction (Rphenyl).
Distribution of Pico- and Nanosecond Motions in Disordered Proteins from Nuclear Spin Relaxation (2015)

Intrinsically disordered proteins and intrinsically disordered regions (IDRs) are ubiquitous in the eukaryotic proteome. The description and understanding of their conformational properties require the development of new experimental, computational, and theoretical approaches. Here, we use nuclear spin relaxation to investigate the distribution of timescales of motions in an IDR from picoseconds to nanoseconds. Nitrogen-15 relaxation rates have been measured at five magnetic fields, ranging from 9.4 to 23.5 T (400-1000 MHz for protons). This exceptional wealth of data allowed us to map the spectral density function for the motions of backbone NH pairs in the partially disordered transcription factor Engrailed at 11 different frequencies. We introduce an approach called interpretation of motions by a projection onto an array of correlation times (IMPACT), which focuses on an array of six correlation times with intervals that are equidistant on a logarithmic scale between 21 ps and 21 ns. The distribution of motions in Engrailed varies smoothly along the protein sequence and is multimodal for most residues, with a prevalence of motions around 1 ns in the IDR. We show that IMPACT often provides better quantitative agreement with experimental data than conventional model-free or extended model-free analyses with two or three correlation times. We introduce a graphical representation that offers a convenient platform for a qualitative discussion of dynamics. Even when relaxation data are only acquired at three magnetic fields that are readily accessible, the IMPACT analysis gives a satisfactory characterization of spectral density functions, thus opening the way to a broad use of this approach.
Predicting the Shape and Structure of Face‐Centered Cubic Gold Nanocrystals Smaller than 3 nm (2006)

Although a number of computational studies have examined the relative stability of icosahedral and decahedral gold clusters from 1 to 3 nm in size, few studies have focussed on the variety of face-centered cubic (fcc) nanoparticles in this size regime. In most cases small fcc gold particles are assumed to adopt the truncated octahedral shape, but in light of the fact that the shape and structure of gold nanoparticles is known to vary, the relative stability of fcc polyhedra may change with size. Presented here are results of first-principles calculations investigating the preferred shape of gold particles less than 3 nm in size. Our results indicate that the equilibrium shape of fcc gold nanoparticles less than 1 nm is the cuboctahedron, but this shape rapidly becomes energetically unstable with respect to the truncated octahedron, octahedron and truncated cube shapes as the size increases.
A 49-Kilodalton Isoform of the Adenovirus Type 5 Early Region 1B 55-Kilodalton Protein Is Sufficient To Support Virus Replication (2009)

The adenovirus type 5 (Ad5) early region 1B 55-kDa (E1B-55K) protein is a multifunctional regulator of cell-cycle-independent virus replication that participates in many processes required for maximal virus production. As part of a study of E1B-55K function, we generated the Ad5 mutant H5pm4133, carrying stop codons after the second and seventh codons of the E1B reading frame, thereby eliminating synthesis of the full-length 55K product and its smaller derivatives. Unexpectedly, phenotypic studies revealed that H5pm4133 fully exhibits the characteristics of wild-type (wt) Ad5 in all assays tested. Immunoblot analyses demonstrated that H5pm4133 and wt Ad5 produce very low levels of two distinct polypeptides in the 48- to 49-kDa range, which lack the amino-terminal region but contain segments from the central and carboxy-terminal part of the 55K protein. Genetic and biochemical studies with different Ad5 mutants show that at least one of these isoforms consists of two closely migrating polypeptides of 433 amino acid residues (433R) and 422R, which are produced by translation initiation at two downstream AUG codons of the 55K reading frame. Significantly, a virus mutant producing low levels of the 433R isoform alone replicated to levels comparable to those of wt Ad5, demonstrating that this polypeptide provides essentially all functions of E1B-55K required to promote maximal virus growth in human tumor cells. Altogether, these results extend previous findings that the wt Ad5 E1B region encodes a series of smaller isoforms of E1B-55K and demonstrate that very low levels of at least one of these novel proteins (E1B-433R) are sufficient for a productive infection.
Development of Low-power Coherent ASIC (2022)

The latest generation of coherent pluggable modules impose strict power limits on the coherent ASIC. The development process for a low-power coherent ASIC designed in a 7nm FINFET process is described. The ASIC enables pluggable coherent modules with energy efficiency of 40-60pJ/bit for various 400G DWDM applications.
Exploration of an Inflection Point of Ventilation Parameters with Anaerobic Threshold Using Strucchange (2022)

(1) Background: When measuring anaerobic work threshold (AT), the conventional V-slope method includes the subjectivity of the examiner, which cannot be eliminated completely. Therefore, we implemented an engineering method using strucchange to objectively search for the inflection point of AT. (2) Methods: Seventeen subjects (15 men and 2 women) were included in the study. The subjects rode an ergometer and performed a ramp load test for 18 min and 30 s. (3) Results: In VE (Ventilation), 11 out of 12 subjects had the same results with 95% confidence intervals for the AT by the strucchange and respiratory metabolic apparatus. In VCO<sub>2</sub> (Carbon dioxide emissions), 9 out of 12 subjects had the same results with 95% confidence intervals for the AT with the strucchange and respiratory metabolic apparatus. In VE, 3 out of 12 subjects showed the same results for respiratory metabolic analysis and the AT by the V-slope method. In VCO<sub>2</sub>, 3 out of 12 subjects showed the same results for the respiratory metabolic analysis and AT by the V-slope method in VCO<sub>2</sub>. (4) Conclusions: Strucchange was more objective and significant in identifying the AT than the V-slope method.
Multicast-Only Fast Reroute (2015)

As IPTV deployments grow in number and size, service providers are
looking for solutions that minimize the service disruption due to
faults in the IP network carrying the packets for these services. This
document describes a mechanism for minimizing packet loss in a network
when node or link failures occur. Multicast-only Fast Reroute (MoFRR)
works by making simple enhancements to multicast routing protocols
such as Protocol Independent Multicast (PIM) and Multipoint LDP
(mLDP).
SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series (2021)

Providing a lightweight self-adaptive approach that does not need offline training in advance and meanwhile is able to detect anomalies in real time could be highly beneficial. Such an approach could be immediately applied and deployed on any commodity machine to provide timely anomaly alerts. To facilitate such an approach, this paper introduces SALAD, which is a Self-Adaptive Lightweight Anomaly Detection approach based on a special type of recurrent neural networks called Long Short-Term Memory (LSTM). Instead of using offline training, SALAD converts a target time series into a series of average absolute relative error (AARE) values on the fly and predicts an AARE value for every upcoming data point based on short-term historical AARE values. If the difference between a calculated AARE value and its corresponding forecast AARE value is higher than a self-adaptive detection threshold, the corresponding data point is considered anomalous. Otherwise, the data point is considered normal. Experiments based on a real-world time series dataset demonstrates that SALAD outperforms five other state-of-the-art anomaly detection approaches in terms of detection accuracy. In addition, the results also show that SALAD is lightweight and can be deployed on a commodity machine.
Profiling Cancer Gene Mutations in Clinical Formalin-Fixed, Paraffin-Embedded Colorectal Tumor Specimens Using Targeted Next-Generation Sequencing (2014)

AmpliSeq provided highly sensitive and quantitative mutation detection for most of the genes on its cancer panel using limited DNA quantities from formalin-fixed, paraffin-embedded samples. For those genes with recurrent "false-positive" variant calls, caution should be used in data interpretation, and orthogonal verification of mutations is recommended for clinical decision making.
Flow-induced deformation of shallow microfluidic channels (2006)

We study the elastic deformation of poly(dimethylsiloxane) (PDMS) microchannels under imposed flow rates and the effect of this deformation on the laminar flow profile and pressure distribution within the channels. Deformation is demonstrated to be an important consideration in low aspect ratio (height to width) channels and the effect becomes increasingly pronounced for very shallow channels. Bulging channels are imaged under varying flow conditions by confocal microscopy. The deformation is related to the pressure and is thus non-uniform throughout the channel, with tapering occurring along the stream-wise axis. The measured pressure drop is monitored as a function of the imposed flow rate. For a given pressure drop, the corresponding flow rate in a deforming channel is found to be several times higher than expected in a non-deforming channel. The experimental results are supported by scaling analysis and computational fluid dynamics simulations coupled to materials deformation models.
Sparse multivariate Bernoulli processes in high dimensions (2019)

We consider the problem of estimating the parameters of a multivariate Bernoulli process with auto-regressive feedback in the high-dimensional setting where the number of samples available is much less than the number of parameters. This problem arises in learning interconnections of networks of dynamical systems with spiking or binary valued data. We also allow the process to depend on its past up to a lag p, for a general $p \geq 1$, allowing for more realistic modeling in many applications. We propose and analyze an $\ell_1$-regularized maximum likelihood (ML) estimator under the assumption that the parameter tensor is approximately sparse. Rigorous analysis of such estimators is made challenging by the dependent and non-Gaussian nature of the process as well as the presence of the nonlinearities and multi-level feedback. We derive precise upper bounds on the mean-squared estimation error in terms of the number of samples, dimensions of the process, the lag $p$ and other key statistical properties of the model. The ideas presented can be used in the rigorous high-dimensional analysis of regularized $M$-estimators for other sparse nonlinear and non-Gaussian processes with long-range dependence.
Retinoic Acid Receptor-Nuclear Factor-Interleukin 6 Antagonism (1997)

Retinoids inhibit the expression of migration inhibitory factor-related protein-8 (MRP-8), a marker of hyperproliferative or abnormal keratinocyte differentiation, in a retinoic acid receptor (RAR)-dependent manner in various cell culture systems. MRP-8 expression is also down-regulated in vivo in psoriatic lesions after topical application of an anti-psoriatic RARbeta/gamma-selective synthetic retinoid, tazarotene. We demonstrate that an MRP-8 promoter linked to a chloramphenicol acetyltransferase reporter (MRP8CAT) faithfully replicates the differentiation-specific regulation of the endogenous keratinocyte MRP-8 gene. Further, interferon gamma and serum-induced expression of MRP8CAT is inhibited by retinoid receptors in a ligand-dependent manner. We also show that NF-IL6 acts as a transcriptional enhancer of MRP-8, and that RARs inhibit MRP8CAT by inhibiting the enhancer action of nuclear factor-interleukin-6 (NF-IL6). The NF-IL6 antagonism function of RAR is a complex of the core of the DNA binding domain and the hydrophobic zipper region. This manuscript identifies NF-IL6 as another transcription factor, in addition to AP1, whose activity is inhibited by RAR in a ligand-dependent manner. The interdiction of NF-IL6-dependent signal transduction pathway by RARs may explain some of the therapeutic effects of retinoids in inflammatory and proliferative diseases.