gebhart/patrepeval huggingface dataset:
Brain Struct Funct (2020)

The thalamus consists of several histologically and functionally distinct nuclei increasingly implicated in brain pathology and important for treatment, motivating the need for development of fast and accurate thalamic parcellation. The contrast between thalamic nuclei as well as between the thalamus and surrounding tissues is poor in T1- and T2-weighted magnetic resonance imaging (MRI), inhibiting efforts to date to segment the thalamus using standard clinical MRI. Automatic parcellation techniques have been developed to leverage thalamic features better captured by advanced MRI methods, including magnetization prepared rapid acquisition gradient echo (MP-RAGE), diffusion tensor imaging (DTI), and resting-state functional MRI (fMRI). Despite operating on fundamentally different image contrasts, these methods claim a high degree of agreement with the Morel stereotactic atlas of the thalamus. However, no comparison has been undertaken to compare the results of these disparate parcellation methods. We have implemented state-of-the-art structural-, diffusion-, and functional imaging-based thalamus parcellation techniques and used them on a single set of subjects. We present the first systematic qualitative and quantitative comparison of these methods. The results show that DTI parcellation agrees more with structural parcellation in the larger thalamic nuclei, while rsfMRI parcellation agrees more with structural parcellation in the smaller nuclei. Structural parcellation is the most accurate in the delineation of small structures such as the habenular, antero-ventral, and medial geniculate nuclei. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
<title>Surface analysis of cast aluminum by means of artificial vision and AI-based techniques</title> (1996)

An architecture for surface analysis of continuous cast aluminum strip is described. The data volume to be processed has forced up the development of a high-parallel architecture for high- speed image processing. An especially suitable lighting system has been developed for defect enhancing in metallic surfaces. A special effort has been put in the design of the defect detection algorithm to reach two main objectives: robustness and low processing time. These goals have been achieved combining a local analysis together with data interpretation based on syntactical analysis that has allowed us to avoid morphological analysis. Defect classification is accomplished by means of rule-based systems along with data-based classifiers. The use of clustering techniques is discussed to perform partitions in R<SUP>n</SUP> by SOM, divergency methods to reduce the feature vector applied to the data-based classifiers. The combination of techniques inside a hybrid system leads to near 100% classification success.
DOUBLE RESONANCE IN THE EXCITED STATE 4 $sup 2$P$sub 3$ OVER $sub 2$ OF Na$sup 2$$sup 3$ (1958)

The frequencies of hyperfiine transitions were measured in the 4 /sup 2/ P/sub 3/2/ excited state of Na/sup 23/ by the double resonance method. From the three transitions anticipated, the two most intense were observed at 19.6 and 9.5 MHz. According to the theoretical predictions, they are attribated to F = 3 yields F =2 and F =2 yields F = 1. The length of the ray, extrapolated for a zero amplitude of the r-f field, corresponds to 3.6 MHz. The life of the 4 /sup 2/P/sub 3/2/ level was calculated as 0.9 plus or minus 10/sup -7/ sec. In the 4 /sup 2/P/sub 3/2/ state, the ratio of the separation of the resorances by their length is more favorable than in the 3 /sup 2/P/sub 3/2/ state. The value of the quadrapole moment of the Na/sup 23/ nucleus was calculated as (0.13 plus or minus 0.04) x 10/sup -24/ cm/sup 2/. (tr-auth)
On slot allocation for time-constrained messages in dual-bus networks (1997)

Several access schemes have been suggested for dual-bus network topology, e.g., DQDB, Fasnet, CRMA, and Simple. It is therefore important to provide various services in this type of networks. This paper addresses the issue of guaranteeing the timely delivery of isochronous (real-time) messages with hard deadlines in slotted dual-bus networks. We propose a slot allocation scheme which can allocate bandwidth for a set of isochronous message streams and provide deterministic deadline guarantees. The proposed slot allocation scheme is guaranteed to find a feasible slot allocation in the sense that all messages can be transmitted in a timely manner as long as the total message density is less than or equal to a certain threshold, where the total message density is defined as the summation of the ratio of maximum message size to message deadline over all streams. We also discuss the implementation details of this scheme, and compare our scheme with another bandwidth allocation scheme proposed by D. Saha et al. (1994).
Lie to my face: An electromyography approach to the study of deceptive behavior (2021)

Our findings demonstrate the feasibility of using wearable electrode arrays in detecting human lies in a social setting and set the stage for future research on individual differences in deception expression.
Technology trends, requirements and challenges for ubiquitous self-powered IOT systems deployment (2018)

Always ON always sensing small form factor edge systems for internet of things (IOT) are becoming ubiquitous. Many applications require these tiny devices to be self-powered and maintenance-free. Hence, they should be able to harvest energy from available ambient sources and should have low manufacturing cost. Millimeter-scale form factor systems have been developed in academia for the past few years. Small form factor edge systems are becoming commercially available. These systems are essential in today's cyber physical world. We will introduce the available market and the trends driving this growth in IOT system deployments. That will be followed by typical system requirements for a typical self-powered IOT system. Challenges to realize such a dream IOT system will be discussed. We will present two approaches to system design, namely bottom-up and top-down. An X86-based tiny microcontroller unit (MCU) was designed to enable multiple IOT usages. This MCU followed a bottom-up approach - ultra-low power low cost MCU was designed first and then applied to IOT systems such as smart sensor tag for package tracking. The discussion will introduce another IOT system that followed a top-down usage-driven approach. In this case, an agricultural usage was chosen that required energy harvesting, X86-class edge computing, visual recognition on the edge, secure storage, secure wireless communication and ultra-low power maintenance free operation. An IOT system was architected for this usage and later demonstrated. We will conclude the presentation with comparison of these two distinct approaches to IOT system design.
Aqueous synthesis and electrical properties of nano-crystalline PLZT capacitors. (2010)

Devices with nano-crystalline microstructures have been shown to possess improved electrical properties. Further advantages include lower processing temperatures; however, device fabrication from nano-particles poses several challenges. This presentation describes a novel aqueous synthesis technique to produce large batch sizes with minimal waste. The precipitate is readily converted at less than 550 C to a phase pure, nano-crystalline Pb{sub 0.88} La{sub 0.12}(Zr{sub 0.70} Ti{sub 0.30}){sub 0.97} O{sub 3} powder. Complications and solutions to sample fabrication from nano-powders are discussed, including the use of glass sintering aids to improve density and further lower sintering temperatures. Finally, electrical properties are presented to demonstrate the potential benefits of nano-crystalline capacitors.
Extended haplotype phasing of de novo genome assemblies with FALCON-Phase (2018)

ABSTRACT Haplotype-resolved genome assemblies are important for understanding how combinations of variants impact phenotypes. These assemblies can be created in various ways, such as use of tissues that contain single-haplotype (haploid) genomes, or by co-sequencing of parental genomes, but these approaches can be impractical in many situations. We present FALCON-Phase, which integrates long-read sequencing data and ultra-long-range Hi-C chromatin interaction data of a diploid individual to create high-quality, phased diploid genome assemblies. The method was evaluated by application to three datasets, including human, cattle, and zebra finch, for which high-quality, fully haplotype resolved assemblies were available for benchmarking. Phasing algorithm accuracy was affected by heterozygosity of the individual sequenced, with higher accuracy for cattle and zebra finch (&gt;97%) compared to human (82%). In addition, scaffolding with the same Hi-C chromatin contact data resulted in phased chromosome-scale scaffolds.
ChemInform Abstract: Step‐Current Analysis of the Built‐in Potential of Tungsten Oxide‐ Based Electrochromic Devices and the Effects of Spontaneous Hydrogen Deintercalation. (1997)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
<title>Spatial emission patterns in organic thin-film EL</title> (1998)

In surface emissive type devices, spatial distribution of emissive patterns is quite important from two viewpoints: first, emissive colors are highly dependent on the location of emissive sites in thin film EL devices and careful design structures is needed for tuning emissive colors. Second, for the evaluations of absolute EL efficiency, the spatial distribution of emissive light are indispensable, although Lambert rule is usually accepted without enough experimental evidence. In this report, we evaluated both spatial distribution of emissive patterns and emission spectra at each emissive direction in the standard type TPD/Alq devices and related two-layer type devices with systematically varied layer thicknesses.
Increased Nonalternans Repolarization Variability Precedes Ventricular Tachycardia Onset in Patients with Implantable Defibrillators (2015)

NARV is elevated prior to spontaneous VT onset. Both NARV and TWA increase with HR. The decrease of TWA with increasing number of analyzed beats may indicate contamination with NARV or noise when only a small number of beats is available for analysis. NARV might be useful for VT prediction in the future.
Superoxide reductase from Desulfoarculus baarsii: reaction mechanism and role of glutamate 47 and lysine 48 in catalysis (2015)

Superoxide reductase (SOR) is a small metalloenzyme that catalyzes reduction of O(2)(*)(-) to H(2)O(2) and thus provides an antioxidant mechanism against superoxide radicals. Its active site contains an unusual mononuclear ferrous center, which is very efficient during electron transfer to O(2)(*)(-) [Lombard, M., Fontecave, M., Touati, D., and Nivi{è}re, V. (2000) J. Biol. Chem. 275, 115-121]. The reaction of the enzyme from Desulfoarculus baarsii with superoxide was studied by pulse radiolysis methods. The first step is an extremely fast bimolecular reaction of superoxide reductase with superoxide, with a rate constant of (1.1 +/- 0.3) x 10(9) M(-1) s(-1). A first intermediate is formed which is converted to a second one at a much slower rate constant of 500 +/- 50 s(-1). Decay of the second intermediate occurs with a rate constant of 25 +/- 5 s(-1). These intermediates are suggested to be iron-superoxide and iron-peroxide species. Furthermore, the role of glutamate 47 and lysine 48, which are the closest charged residues to the vacant sixth iron coordination site, has been investigated by site-directed mutagenesis. Mutation of glutamate 47 into alanine has no effect on the rates of the reaction. On the contrary, mutation of lysine 48 into an isoleucine led to a 20-30-fold decrease of the rate constant of the bimolecular reaction, suggesting that lysine 48 plays an important role during guiding and binding of superoxide to the iron center II. In addition, we report that expression of the lysine 48 sor mutant gene hardly restored to a superoxide dismutase-deficient Escherichia coli mutant the ability to grow under aerobic conditions.
Impulsive Field Near the Second Focus Along the Symmetry Axis of a Prolate-Spheroidal IRA (2007)

Summary form only given. This paper is a development of the field focused at the second focus of a prolate-spheroidal reflector. We explore the behavior of the impulse term along the z-axis as one passes through this focus. IRAs have been developed for the transient far field. Now we are going to focus in the near field to focus on a biological application. This paper is an extension of two previous papers. Some analytic approximations were developed" for the focal waveform produced at the second focus of a prolate-spheroidal reflector due to a TEM wave launched from the first focus. In this paper we find the analytic calculation of the fields on the z-axis near the second focus. First of all, we show that the impulsive part of the waveform at the second focus can be described by a delta-like pulse forming for z < z <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub> and in the limit as z rarr z <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub> gives the required true delta function. This is a physical example of the formation of a delta function. Then, we show that the aperture integral gives the same result (at early time) as the exact incident wave before truncation. This gives confidence in the aperture integration. We can see that the area of the delta-like pulse is the same for both after and before z <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub> . Finally, we illustrate these results with a graphical example.
A geometric method for calculating the Doppler spreading of surface scattered signals (2007)

Recent work has shown that the characteristics of surface scattered high frequency signals can significantly impact the performance of underwater acoustic communications systems in shallow water environments. A combination of high signal intensities due to the focusing of the signals by the curved surface waves and high Doppler spreads due to the motion of the surface waves make it difficult to accurately track the time varying channel impulse response as required by most high rate communications systems. However, algorithms that can model and accommodate the Doppler spreading have been shown to maintain acceptable performance in these environments. The ability to predict the expected Doppler spreads of the surface scattered signals as a function of source/receiver geometry and surface wave characteristics can improve the performance of some of these algorithms. A method for calculating the Doppler spreading of surface scattered signals as a function of the source/receiver geometry and surface wave slope, curvature, and velocity is presented. Comparisons between theoretical predictions and observed Doppler spreads in collected acoustic data are presented.
Plasmon resonance wavelength controlled by SiO2 layer thickness on a silver surface and nanoantenna effect at a center of Bull's eye pattern (2022)

The fluorescence enhancement is induced by Grating-coupled surface plasmon resonance (GC-SPR) of a plasmonic chip in which a wavelength-sized periodic structure is coated with a thin metal film. In the fluorescence microscopic images of nanoparticles adsorbed on the plasmonic chip observed with transmitted light, the bright spot based on the nanoantenna effect was observed at the center of a Bull's eye pattern composed of concentric circles in a plasmonic chip. In this study, resonance wavelength was controlled by SiO 2 film thickness deposited on a thin Ag film and the excitation and emission enhancement was individually evaluated by an upright-inverted microscope to clarify the cause of the nanoantenna effect. As the observation result, nanoantenna effect was larger in SiO 2 80 nm than SiO 2 20 nm.
Effect of Surface Treatment of Microfiberlated Cellulose Fibers on Biocomposite Properties and Additive Manufacturing Process (2019)

Polymer additive manufacturing (AM) is a rapidly growing technology and it is transitioning to become an advanced manufacturing technique with the introduction of fiberlar reinforcing materials such as carbon and glass fibers into polymer feedstock. As a result of increasing environmental and long-term sustainability concerns, there is an increasing interest in using bio-derived cellulose fibers to reinforce composites instead of carbon and glass fibers. Melt extrusion/fused filament fabrication method is the most commonly used polymer AM technique which enables direct digital manufacturing of parts with complex geometry with a controlled anisotropic distribution of reinforcing phase. However, there are multiple factors that affect the mechanical performance of the final part such as the dispersion and orientation of the reinforcing fibers, the adhesion between the fibers and the polymer matrix, and the porosity/defects present in the part. Chemical modification of the surface of the reinforcing fibers is an effective way of improving the fiber-polymer interaction. Furthermore, the improved adhesion between the fibers and the polymer can also enhance the fiber dispersion, improve the rheological behavior of the molten feedstock and minimize the formation of porosity during the printing process, which is one of the major issues in AM. In this study, we are investigating the effect of silane surface treatment of micro-cellulose fibers on the thermal, rheological and mechanical properties of cellulose-PLA biocomposites and on the 3D-printing process. X-ray photoelectron spectroscopy results confirmed the increase in amine and silane groups on the surface of modified fibers, indicating successful functionalization. Thermal and mechanical characterization of modified fiber-PLA composites showed significant increases in storage modulus, glass transition temperature, and complex viscosity compared to neat PLA.
Biodegradable copoly(ester-amide)s based on short, uniform and symmetrical amide blocks (1997)

Defined block copolymers have been made from structurally well defined short diamide blocks, aliphatic di-ester and diols. Rapid crystallization of the copoly(ester-amide)s was observed. Also, a very interesting phase transition was revealed, which was almost independent on cooling rate as well as polymer composition. Optical microscopy and temperature dependent WAXS revealed the co-existence of an isotropic and highly ordered phase in the melt. Biodegradation was shown by soil burial, modified Sturm and BOD tests.
My Journey from Radar Jamming to Coherence Theory (2018)

My graduate research was concerned with radar detection, radar countermeasures, passive locating systems, and countermeasures to passive locating system. After I learned some statistical optics, I realized that predicting the effectiveness of a particular countermeasure to passive locating systems could be accomplished rather easily using the Van Cittert-Zernike theorem. This insight will be explained in this talk.
Manipulation, analysis and retrieval systems for audio signals (2002)

Digital audio and especially music collections are becoming a major part of the average computer user experience. Large digital audio collections of sound effects are also used by the movie and animation industry. Research areas that utilize large audio collections include: Auditory Display, Bioacoustics, Computer Music, Forensics, and Music Cognition. 
In order to develop more sophisticated tools for interacting with large digital audio collections, research in Computer Audition algorithms and user interfaces is required. In this work a series of systems for manipulating, retrieving from, and analysing large collections of audio signals will be described. The foundation of these systems is the design of new and the application of existing algorithms for automatic audio content analysis. The results of the analysis are used to build novel 2D and 3D graphical user interfaces for browsing and interacting with audio signals and collections. The proposed systems are based on techniques from the fields of Signal Processing, Pattern Recognition, Information Retrieval, Visualization and Human Computer Interaction. All the proposed algorithms and interfaces are integrated under MARSYAS, a free software framework designed for rapid prototyping of computer audition research. In most cases the proposed algorithms have been evaluated and informed by conducting user studies. 
Contributions of this work to the area of Computer Audition include: a general multi-feature audio texture segmentation methodology, feature extraction from mp3 compressed data, automatic beat detection and analysis based on the Discrete Wavelet Transform and musical genre classification combining timbral, rhythmic and harmonic features. Novel graphical user interfaces developed in this work are various tools for browsing and visualizing large audio collections such as the Timbregram, TimbreSpace, GenreGram, and Enhanced Sound Editor.
Mayolenes: Labile defensive lipids from the glandular hairs of a caterpillar ( Pieris rapae ) (2002)

Larvae of the European cabbage butterfly, Pieris rapae (Pieridae), are beset with glandular hairs, bearing droplets of a clear oily secretion at their tip. The fluid consists primarily of a series of chemically labile, unsaturated lipids, the mayolenes, which are derived from 11-hydroxylinolenic acid. In bioassays with the ant Crematogaster lineolata, the secretion was shown to be potently deterrent, indicating that the fluid plays a defensive role in nature.
Detecting Recurring and Novel Classes in Concept-Drifting Data Streams (2011)

Concept-evolution is one of the major challenges in data stream classification, which occurs when a new class evolves in the stream. This problem remains unaddressed by most state-of-the-art techniques. A recurring class is a special case of concept-evolution. This special case takes place when a class appears in the stream, then disappears for a long time, and again appears. Existing data stream classification techniques that address the concept-evolution problem, wrongly detect the recurring classes as novel class. This creates two main problems. First, much resource is wasted in detecting a recurring class as novel class, because novel class detection is much more computationally- and memory-intensive, as compared to simply recognizing an existing class. Second, when a novel class is identified, human experts are involved in collecting and labeling the instances of that class for future modeling. If a recurrent class is reported as novel class, it will be only a waste of human effort to find out whether it is really a novel class. In this paper, we address the recurring issue, and propose a more realistic novel class detection technique, which remembers a class and identifies it as "not novel" when it reappears after a long disappearance. Our approach has shown significant reduction in classification error over state-of-the-art stream classification techniques on several benchmark data streams.