gebhart/patrepeval huggingface dataset:
A NOVEL PASSIVE MILLIMETER WAVE TRAFFIC SENSOR (1994)

TRW is developing an innovative, low cost, high performance passive millimeter wave traffic sensor (PMMWTS - patent pending) based on changes in the naturally occurring millimeter wave (mmW) radiation detected as vehicles pass through its field of view. This sensor works day or night, in fog, dust, and rainy conditions. The PMMWTS can detect/compute vehicle presence, count, speed, length, and categorize vehicles. Millimeter wave Mono-lithic Integrated Circuit (MMIC) receivers permit low cost, low power operation with batteries/solar cells. The latest performance results will be presented. (A) For the covering abstract see IRRD 868006.
Non-Contact Measurement of Periodic Movements by a 22-40GHz Radar Sensor Using Nonlinear Phase Modulation (2007)

A non-contact detection technique of measuring both the frequency and the amplitude of periodic movement using the property of nonlinear phase modulation is proposed and demonstrated by a 22-40 GHz radar sensor. It is shown that this method has the following advantages: (1) no calibration of signal amplitude required for accurate measurement of movement amplitude; (2) ability of self-verification; (3) very simple architecture. The method can be used to detect movements with amplitudes larger than 0.335 of the carrier wavelength for a fixed carrier frequency system and 0.214 of the minimum carrier wavelength for a frequency tunable system. By analyzing and simulating the wide angle incidence effect, it is shown that a proper choice of radio frequency, measurement distance, and antenna pattern can ensure accurate measurement of movement amplitudes.
Differentially Methylated Plasticity Genes in the Amygdala of Young Primates Are Linked to Anxious Temperament, an at Risk Phenotype for Anxiety and Depressive Disorders (2014)

Children with an anxious temperament (AT) are at a substantially increased risk to develop anxiety and depression. The young rhesus monkey is ideal for studying the origin of human AT because it shares with humans the genetic, neural, and phenotypic underpinnings of complex social and emotional functioning. Heritability, functional imaging, and gene expression studies of AT in young monkeys revealed that the central nucleus of the amygdala (Ce) is a key environmentally sensitive substrate of this at risk phenotype. Because epigenetic marks (e.g., DNA methylation) can be modulated by environmental stimuli, these data led us to hypothesize a role for DNA methylation in the development of AT. To test this hypothesis, we used reduced representation bisulfite sequencing to examine the cross-sectional genome-wide methylation levels in the Ce of 23 age-matched monkeys (1.3 ± 0.2 years) phenotyped for AT. Because AT reflects a continuous trait-like variable, we used an analytical approach that is consistent with this biology to identify genes in the Ce with methylation patterns that predict AT. Expression data from the Ce of these same monkeys were then used to find differentially methylated candidates linked to altered gene regulation. Two genes particularly relevant to the AT phenotype were BCL11A and JAG1. These transcripts have well-defined roles in neurodevelopmental processes, including neurite arborization and the regulation of neurogenesis. Together, these findings represent a critical step toward understanding the effects of early environment on the neuromolecular mechanisms that underlie the risk to develop anxiety and depressive disorders.
Development of specific antibodies to rat insulin-like growth factor-binding proteins (IGFBP-2 to -6): analysis of IGFBP production by rat granulosa cells. (1993)

Six insulin-like growth factor-binding proteins (IGFBPs) have been isolated and their cDNAs cloned in the rat and human species. The next step is to develop antibodies to each IGFBP. Toward this goal, we generated rabbit polyclonal antibodies to rat IGFBP-2, -4, -5, and -6, using synthetic peptide fragments of the IGFBPs. A rat IGFBP-3 polyclonal antibody was prepared in a previous study using the native protein. Western immunoblotting demonstrated that the IGFBP-2, -3, -4, -5, and -6 antibodies were highly specific for their respective antigens. The elicited antisera were used to study IGFBP production in primary cultures of rat granulosa cells grown in serum-free medium for 72 h. Ligand blotting with 125I-labeled IGF-I and IGF-II revealed two bands migrating at 29 and 24 kilodaltons (kDa) in the medium of untreated control cells, whereas no bands were detectable in medium from cells incubated with 100 ng/ml FSH. Western blotting of control medium with all of the IGFBP antibodies revealed that the IGFBP-4 antibody stained two bands at 28 and 24 kDa, and the IGFBP-5 antibody stained two bands at 30 and 29 kDa. By contrast, these bands were absent in medium from FSH-stimulated cells; instead, two lower molecular mass bands of 21.5 and 17.5 kDa were detected with the IGFBP-4 antibody, and a 21-kDa band was seen with the IGFBP-5 antibody. The same 21.5- and 17.5-kDa bands were seen when exogenously added IGFBP-4 was incubated with the FSH-conditioned medium, whereas untreated medium did not degrade the added IGFBP-4. Incubation with the conditioned medium also degraded exogenous IGFBP-5 to yield a 21-kDa band. By contrast, medium from control cells did not degrade the exogenous IGFBP-5. This finding indicates that FSH induced the production of a protease from granulosa cells that degraded IGFBP-4 and -5 in the culture medium. No IGFBPs were detectable in medium from control or FSH-treated cells using the IGFBP-2, -3, and -6 antibodies. Northern blotting analysis of the same control granulosa cell cultures revealed a 2.6-kilobase and a 6.0-kilobase transcript for IGFBP-4 and -5, respectively; however, the IGFBP-4 and -5 mRNAs were essentially undetectable in FSH-treated cell cultures. To determine the effects of the IGFBPs on steroidogenesis, dose-response experiments were performed with IGFBP-4 and -5.(ABSTRACT TRUNCATED AT 400 WORDS)
UWB-IR System Performance for Implementable Rake Receivers (2007)

In this paper, we study the ultra-wideband impulse radio (UWB-IR) system performance for partial-Rake receivers. We specifically consider M-ary code shift keying (MCSK) impulse modulation and M-ary pulse position modulation (MPPM) for UWB-IRs. We initially derive the lower and upper bounds on the symbol-error rate (SER) for MPPM, which can be easily extended for MCSK. We then show that the practical implementation of MCSK can provide about 2 dB performance gain over MPPM, as code shift keying randomizes pulse transmit locations and hence is less effected by multipath delay spreads.
Acoustic Model Training for Robust Speech Recognition (2012)

This chapter contains sections titled: Introduction Traditional Training Methods for Robust Speech Recognition A Brief Overview of Speaker Adaptive Training Feature-Space Noise Adaptive Training Model-Space Noise Adaptive Training Noise Adaptive Training using VTS Adaptation Discussion Conclusion References
HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale Visual Recognition (2014)

In image classification, visual separability between different object categories is highly uneven, and some categories are more difficult to distinguish than others. Such difficult categories demand more dedicated classifiers. However, existing deep convolutional neural networks (CNN) are trained as flat N-way classifiers, and few efforts have been made to leverage the hierarchical structure of categories. In this paper, we introduce hierarchical deep CNNs (HD-CNNs) by embedding deep CNNs into a category hierarchy. An HD-CNN separates easy classes using a coarse category classifier while distinguishing difficult classes using fine category classifiers. During HD-CNN training, component-wise pretraining is followed by global finetuning with a multinomial logistic loss regularized by a coarse category consistency term. In addition, conditional executions of fine category classifiers and layer parameter compression make HD-CNNs scalable for large-scale visual recognition. We achieve state-of-the-art results on both CIFAR100 and large-scale ImageNet 1000-class benchmark datasets. In our experiments, we build up three different HD-CNNs and they lower the top-1 error of the standard CNNs by 2.65%, 3.1% and 1.1%, respectively.
Fuzzy control with fuzzy inputs: the need for new rule semantics (1994)

The standard computation taking place in a fuzzy logic controller proceeds from crisp inputs and via the consecutive steps of fuzzification, inference, and defuzzification computes a crisp control output. However, this computational practice simplifies to an extent the actual developments taking place in the closed loop. In reality, the knowledge about the current values of the controller input is very often available via sensory measurements. In this case, one has to take into account the negative side effects that come up with the use of sensors, in particular the presence of noisy measurements. In the paper the authors consider one particular way of dealing with noisy controller inputs, namely transforming the noise-distribution into a fuzzy set and then feeding back the so obtained fuzzy signal to the controller input. Adopting this approach requires that the shape of the input fuzzy signal should be reflected as much as possible in the output fuzzy signal so that important noise characteristics are preserved. In the paper the authors describe the requirements on the shape of the fuzzy output signal given a certain fuzzy input signal and show that the existing semantics for fuzzy IF-THEN rules do not satisfy these requirements. The authors propose new semantics for such rules which together with max-min composition produces the desired results.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Recombinant human C1-inhibitor prevents non-specific proteolysis by mutant pro-urokinase during optimal fibrinolysis (2009)

A single-site mutant of prouPA (M5) spared haemostatic fibrin during thrombolysis in dogs. Zymograms of plasma from these dogs showed an unusual inhibitor complex with C1-inhibitor (C1I). Purified C1I added to human plasma enhanced the fibrin-specificity of M5. In the present study, the effect of recombinant human C1I (recC1I) on high-dose M5 and tPA were compared using fluorescein-labeled standardised clots in a plasma milieu. The shortest time to complete clot lysis (maximum rate) was first determined. This was approximately 65% per hour for both activators. By contrast, their top fibrin-specific lysis rate (<20% fibrinogen depletion) was less than half maximum (25-30% per hour). Adding recC1I (250-750 microg/ml) did not affect fibrinolysis, but prevented fibrinogenolysis and plasminogen depletion by M5, raising its fibrin-specific lysis rate to the maximum. With tPA, the recC1I modestly attenuated fibrinogenolysis, raising its fibrin-specific rate to about half the maximum. Consistent with this, the t(1/2) inhibition by C1I was approximately 90 min for tPA compared with ~10 min for tcM5. The t(1/2) of C1I for plasmin was ~2 min. Zymograms of plasma after clot lysis indicated that recC1I prevented non-specific tcM5 generation from M5, as evidenced by suppression of tcM5:C1I complexes. In conclusion, recC1I raised the fibrin-specificity of M5 in plasma so that a maximum lysis rate could be achieved without fibrinogenolysis. The inhibition by C1I of non-specific but not fibrin-dependent plasminogen activation could not be duplicated by other serpins. The findings provide a potential means to optimize both the efficacy and safety of thrombolysis.
All-solid state laser system, continuously tunable over 0.2- to 10-μm spectral range (1998)

An efficient room temperature all-solid-state laser system continuously tunable in the 0.2 - 10 micrometers spectral range has been developed. It is based on the alexandrite laser pumped LiF:F<SUB>2</SUB><SUP>+**</SUP> color center laser system. The alexandrite - LiF:F<SUB>2</SUB><SUP>+**</SUP> color center laser combination system has been shown to be a suitable drive source for a number of efficient nonlinear processes, including harmonic, sum-frequency and difference-frequency generation.
Characterization of microstructured fibre hole diameter and pitch with Fourier domain optical coherence tomography (2005)

Fourier domain optical coherence tomography is used to non-invasively measure the spacing and diameters of holes in microstructured fibres providing the first route to monitoring hole parameters in real time during fibre draw. (2 pages)
Incoherent Fourier ptychographic photography using structured light (2015)

Controlling photographic illumination in a structured fashion is a common practice in computational photography and image-based rendering. Here we introduce an incoherent photographic imaging approach, termed Fourier ptychographic photography, that uses nonuniform structured light for super-resolution imaging. In this approach, frequency mixing between the object and the structured light shifts the high-frequency object information to the passband of the photographic lens. Therefore, the recorded intensity images contain object information that is beyond the cutoff frequency of the collection optics. Based on multiple images acquired under different structured light patterns, we used the Fourier ptychographic algorithm to recover the super-resolution object image and the unknown illumination pattern. We demonstrated the reported approach by imaging various objects, including a resolution target, a quick response code, a dollar bill, an insect, and a color leaf. The reported approach may find applications in photographic imaging settings, remote sensing, and imaging radar. It may also provide new insights for high-resolution imaging by shifting the focus from the collection optics to the generation of structured light.
Swarm: Hyper Awareness, Micro Coordination, and Smart Convergence through Mobile Group Text Messaging (2006)

Text messaging has become an integral part of mobile communication, with a significant impact on cultural and social norms in many countries. Our goal is to explore how group-based text messaging enables continuous social awareness, group coordination and smart convergence on social events. We implemented a group text messaging system, Swarm, and deployed it to several communication groups for ten months. Through usage logs, questionnaires, text analysis, and direct observation we examined how people integrate group text messaging into their day to day social lives. Swarm was used primarily for lightweight distribution of context information (availability, location, and event status) in order to facilitate social convergence. We discuss the lessons learned from our deployment, and the implications for the design of mobile, group communication systems.
Statistical model based iterative reconstruction (MBIR) in clinical CT systems: Experimental assessment of noise performance (2014)

The noise characteristics of the MBIR method are significantly different from those of the FBP method. The well known tradeoff relationship between CT image noise and radiation dose has been modified by MBIR to establish a more gradual dependence of noise on dose. Additionally, some other CT noise properties that had been well understood based on the linear system theory have also been altered by MBIR. Clinical CT scan protocols that had been optimized based on the classical CT noise properties need to be carefully re-evaluated for systems equipped with MBIR in order to maximize the method's potential clinical benefits in dose reduction and/or in CT image quality improvement.
Role of the CAI-1 Fatty Acid Tail in the <i>Vibrio cholerae</i> Quorum Sensing Response (2012)

Quorum sensing is a mechanism of chemical communication among bacteria that enables collective behaviors. In V. cholerae, the etiological agent of the disease cholera, quorum sensing controls group behaviors including virulence factor production and biofilm formation. The major V. cholerae quorum-sensing system consists of the extracellular signal molecule called CAI-1 and its cognate membrane bound receptor called CqsS. Here, the ligand binding activity of CqsS is probed with structural analogues of the natural signal. Enabled by our discovery of a structurally simplified analogue of CAI-1, we prepared and analyzed a focused library. The molecules were designed to probe the effects of conformational and structural changes along the length of the fatty acid tail of CAI-1. Our results, combined with pharmacophore modeling, suggest a molecular basis for signal molecule recognition and receptor fidelity with respect to the fatty acid tail portion of CAI-1. These efforts provide novel probes to enhance discovery of antivirulence agents for the treatment of V. cholerae.
A Filtered Backpropagation Algorithm for Diffraction Tomography (1982)

A reconstruction algorithm is derived for parallel beam transmission computed tomography through two-dimensional structures in which diffraction of the insonifying beam must be taken into account. The algorithm is found to be completely analogous to the filtered backprojection algorithm of conventional transmission tomography with the exception that the backprojection operation has to be replaced by a back propagation process whereby the complex phase of a field measured over a line outside the object is made to propagate back through the object space. The algorithm is applicable to diffraction tomography within either the first Born or Rytov approximations. Application of the algorithm to three-dimensional structures is also discussed.
Intra‐uterine Insemination in Farm Animals and Humans (2004)

Artificial insemination (AI) is the oldest and currently most common technique in the assisted reproduction of animals and humans. The introduction of AI in farm animals was forced by sanitary reasons and the first large-scale applications with a commercial goal were performed in cattle in the late 1930s of last century. After the Second World War, cryopreservation of semen facilitated distribution and AI was mainly performed for economic reasons, especially in dairy cattle industry. In humans however, AI was initially performed in cases of physiological and psychological sexual dysfunction, but later on also in cases of infertility caused by immunological problems. Currently, the most common indications for intra-uterine insemination (IUI) in humans are unexplained infertility and male subfertility. In these cases, IUI is considered as the treatment of the first choice, before more invasive techniques such as in vitro fertilization (IVF) and intracytoplasmatic sperm injection (ICSI) are used. In contrast with humans, the quantity and quality of semen produced by farm animals is much higher and permits dilution and production of several insemination doses per ejaculate. However, with the introduction of sex-sorted semen in farm animals, the same problem of low-quality semen as in humans has arisen. In cattle, pigs and horses, conventional insemination with low numbers of sex-sorted spermatozoa results in a significant decrease in fertility. To improve the fertility rates with this semen, new insemination techniques have been developed in order to deposit spermatozoa closer to the site of fertilization. In sows and mares the advantage of utero-tubal junction (UTJ) insemination has already been proven; however, in cattle it is still under investigation. In this review, the differences and similarities in the application of AI between animals and humans are discussed and as AI in farm animals is most successful in cattle, the situation in this species is elaborated the most.
Learning Feature Engineering for Classification (2017)

Feature engineering is the task of improving predictive modelling performance on a dataset by transforming its feature space. Existing approaches to automate this process rely on either transformed feature space exploration through evaluation-guided search, or explicit expansion of datasets with all transformed features followed by feature selection. Such approaches incur high computational costs in runtime and/or memory. We present a novel technique, called Learning Feature Engineering (LFE), for automating feature engineering in classification tasks. LFE is based on learning the effectiveness of applying a transformation (e.g., arithmetic or aggregate operators) on numerical features, from past feature engineering experiences. Given a new dataset, LFE recommends a set of useful transformations to be applied on features without relying on model evaluation or explicit feature expansion and selection. Using a collection of datasets, we train a set of neural networks, which aim at predicting the transformation that impacts classification performance positively. Our empirical results show that LFE outperforms other feature engineering approaches for an overwhelming majority (89%) of the datasets from various sources while incurring a substantially lower computational cost.
Anti-biofilm Agents against <i>Pseudomonas aeruginosa</i>: A Structure–Activity Relationship Study of <i>C</i>-Glycosidic LecB Inhibitors (2019)

Biofilm formation is a key mechanism of antimicrobial resistance. We have recently reported two classes of orally bioavailable <i>C</i>-glycosidic inhibitors of the <i>Pseudomonas aeruginosa</i> lectin LecB with antibiofilm activity. They proved efficient in target binding, were metabolically stable, nontoxic, selective, and potent in inhibiting formation of bacterial biofilm. Here, we designed and synthesized six new carboxamides and 24 new sulfonamides for a detailed structure-activity relationship for two clinically representative LecB variants. Sulfonamides generally showed higher inhibition compared to carboxamides, which was rationalized based on crystal structure analyses. Substitutions at the thiophenesulfonamide increased binding through extensive contacts with a lipophilic protein patch. These metabolically stable compounds showed a further increase in potency toward the target and in biofilm inhibition assays. In general, we established the structure-activity relationship for these promising antibiofilm agents and showed that modification of the sulfonamide residue bears future optimization potential.
TLR-Independent and P2X7-Dependent Signaling Mediate<i>Alu</i>RNA-Induced NLRP3 Inflammasome Activation in Geographic Atrophy (2013)

NF-κB and P2X7 are critical signaling intermediates in Alu RNA-induced inflammasome priming and RPE degeneration. These molecules are novel targets for rational drug development for geographic atrophy.
‘Old’ Clusters with New Function: Oxidation Catalysis by High Oxidation State Manganese and Cerium/Manganese Clusters Using O<sub>2</sub> Gas (2011)

The family of polynuclear manganese clusters of formula [Mn12O12(O2CR)16(H2O)4] (R = Et, Ph, etc.) has been investigated in great detail over the years for their ability to function as single-molecule magnets (SMMs), but they have not been employed as oxidation catalysts. In the present report, the ability is described of these clusters to act as catalysts in the selective oxidation of benzyl alcohol to benzaldehyde using molecular O2 as the primary oxidant and the nitroxyl radical TEMPO as a cocatalyst. A systematic investigation of Mn clusters varied in their R group, oxidation state, and size was conducted in order to realize the electronic requirements that will lead to the best catalytic activity. The best reactivity (>99%) was obtained when the catalyst was the mixed-metal cluster [CeMn6O9(O2CMe)9(NO3)(H2O)2], which contains Ce4+Mn4+6 ions; in this case, lower loadings of catalysts (cluster and TEMPO) are required and the reaction can proceed even without a solvent. In addition, it has been demonstrated that the high efficiency can be only achieved when both high oxidation Ce4+ and Mn4+ ions are present within the same cluster.
Lasing at 2.08μm and 1.38μm in a holmium doped fluoro-zirconate fiesre laser (1988)

We report for the first time a fibre laser operating beyond the 1.55μm communications window. Using a holmium doped fluoro-zirconate fibre, laser emission occurs from the threelevel 2.08μm transition, and also at 1.38μm via a cascading transition.