gebhart/patrepeval huggingface dataset:
Harmonic identification based on RBF neural network (2016)

As one of the important equipment for vibration test, hydraulic shaking table can produce great vibration force and displacement of vibration, , widely applied in engineering field. In the test system of hydraulic shaking table, because of the existence of non-linearities, there exists higher harmonic in system response signal when the shaking table is excited by a sinusoidal signal, making the harmonic distortion of the system response. In view of harmonic distortion of response signal in the sine-vibration test, the paper adopts RBF neural network to study how to identify the amplitude and phase, which provides reliable data for harmonic suppression and elimination.
Gesture recognition with a Time-Of-Flight camera (2008)

This paper presents a new approach for gesture classification using x- and y- projections of the image and optional depth features. The system uses a 3D Time-Of-Flight (TOF) sensor which has the big advantage of simplifying hand segmentation. For the presented system, a Photonic-Mixer-Device (PMD) camera with a resolution of 160 × 120 pixels and a frame rate of 15 frames per second is used. The goal of our system is to recognise 12 different static hand gestures. The x- and y- projections and the depth features of the captured image are good enough to use a simple nearest neighbour classifier, resulting in a fast classification. To evaluate the system, a set of 408 images is recorded, 12 gestures from 34 persons. With a 'Leave-One-Out' evaluation, the recognition rate of the system is 94.61% and the classification time is about 30 msec on a standard PC.
A NUCA model for embedded systems cache design (2005)

Embedded applications require high performance processors integrating fast and low-power cache. Dynamic non-uniform cache architectures (D-NUCA) have been proposed to overcome the performance limit introduced by wire delays when designing large cache. In this paper, we propose alternative designs of D-NUCA cache, namely triangular D-NUCA cache, to reduce power consumption and silicon area occupancy of D-NUCA cache. We compare the performances of triangular D-NUCA cache with conventional rectangular organization. Results show that our approach is particular useful in the embedded applications domain, as it permits the utilization of half-sized NUCA cache with performance improvements.
Towards the Safe Use of Dynamically Transformed Itinerant Software (2006)

Mobile code and agent-based technology is being actively investigated for use within military systems. The use of mobile code in these systems could greatly benefit future defense capabilities; however, one must first establish confidence in the secure deployment and use of mobile code before widespread acceptance of this technology occurs. This is particularly true when a mobile code is permitted to evolve or modify as it moves through a network. Dynamic program transformation or evolution can enable more efficient computation of long running programs on constrained resource hosts by optimizing the computation for the current runtime input, state, and environment. This technology can also potentially provide dynamically updated or modified pro gram functionality. Traditional mobile code validation methods such as checksums and digital signatures is unable to efficiently meet the security needs of this itinerant, evolving software. New validation methods must be constructed in order to allow future mobile codes to avail themselves of the advantages dynamic program modification may provide while mitigating potential security risks. We are developing a framework and prototype system to validate mobile, dynamically-transforming code in a manner which enables the system to restrict how the code can transform as it passes through the network. This system permits modifications to the code based on a user-defined program transformation policy. In this paper, we present the details for our framework to control dynamic program transformation. This framework is the first step towards making dynamically-transforming software a viable technology for future defense systems.
The genetics of alcohol metabolism: role of alcohol dehydrogenase and aldehyde dehydrogenase variants. (2007)

The primary enzymes involved in alcohol metabolism are alcohol dehydrogenase (ADH) and aldehyde dehydrogenase (ALDH). Both enzymes occur in several forms that are encoded by different genes; moreover, there are variants (i.e., alleles) of some of these genes that encode enzymes with different characteristics and which have different ethnic distributions. Which ADH or ALDH alleles a person carries influence his or her level of alcohol consumption and risk of alcoholism. Researchers to date primarily have studied coding variants in the ADH1 B, ADH1C, and ALDH2 genes that are associated with altered kinetic properties of the resulting enzymes. For example, certain ADH1B and ADH1C alleles encode particularly active ADH enzymes, resulting in more rapid conversion of alcohol (i.e., ethanol) to acetaldehyde; these alleles have a protective effect on the risk of alcoholism. A variant of the ALDH2 gene encodes an essentially inactive ALDH enzyme, resulting in acetaldehyde accumulation and a protective effect. It is becoming clear that noncoding variants in both ADH and ALDH genes also may influence alcohol metabolism and, consequently, alcoholism risk; the specific nature and effects of these variants still need further study.
Emerging electrochemical energy conversion and storage technologies (2014)

Electrochemical cells and systems play a key role in a wide range of industry sectors. These devices are critical enabling technologies for renewable energy; energy management, conservation, and storage; pollution control/monitoring; and greenhouse gas reduction. A large number of electrochemical energy technologies have been developed in the past. These systems continue to be optimized in terms of cost, life time, and performance, leading to their continued expansion into existing and emerging market sectors. The more established technologies such as deep-cycle batteries and sensors are being joined by emerging technologies such as fuel cells, large format lithium-ion batteries, electrochemical reactors; ion transport membranes and supercapacitors. This growing demand (multi billion dollars) for electrochemical energy systems along with the increasing maturity of a number of technologies is having a significant effect on the global research and development effort which is increasing in both in size and depth. A number of new technologies, which will have substantial impact on the environment and the way we produce and utilize energy, are under development. This paper presents an overview of several emerging electrochemical energy technologies along with a discussion some of the key technical challenges.
The .beta. subunit of the insulin receptor kinase is an insulin-activated protein (1983)

In the presence of adenosine 5'-[gamma-32P]triphosphate ([gamma-32P]ATP) and a partially purified human placental insulin receptor preparation, insulin stimulates the phosphorylation of an Mr 94000 protein in a time- and dose-dependent manner. Half-maximal stimulation of 32P incorporation occurs at (2-3) X 10(-9) M insulin, a concentration identical with the Kd for insulin binding in this preparation. Immunoprecipitations with monoclonal anti-insulin receptor antibody demonstrate that the Mr 94000 protein kinase substrate is a component of the insulin receptor, the beta subunit. If the partially purified, soluble placental receptor preparation is immunoprecipitated and then exposed to [gamma-32P]ATP and insulin, phosphorylation of the Mr 94000 protein is maintained. The photoincorporation of 8-azido[alpha-32P]ATP into placental insulin receptor preparations was carried out to identify the ATP binding site responsible for the protein kinase activity. Photoincorporation into numerous proteins was observed, including both subunits of the insulin receptor. However, when photolabeling was performed in the presence of excess adenosine 5'-(beta, gamma-imidotriphosphate), a nonhydrolyzable ATP derivative, the beta subunit of the insulin receptor was the only species protected from label incorporation. These data indicate that the beta subunit of the insulin receptor has insulin-dependent protein kinase activity. Phosphotyrosine formation is the primary result of this activity in placental insulin receptor preparations.
Line-of-Sight Stabilization/Tracking Systems: An Overview (1987)

Line-of-sight stabilization/tracking systems control the inertial orientation of critical payloads. Requirements for these systems have steadily increased due to improved resolution of payloads, higher maneuverability of host vehicles, and increased overall precision necessary to accomplish mission objectives. The conventional design approach is to develop a stabilization subsystem to minimize inertial jitter and then design a track subsystem to control the overall orientation. Achieving these goals is dependent upon the capability to reject environmental and application induced disturbances.
Neuropeptide F: a novel parasitic flatworm regulatory peptide from <i>Moniezia expansa</i> (Cestoda: Cyclophyllidea) (1991)

SUMMARY Using a C-terminally directed pancreatic polypeptide (PP) antiserum and immunocytochemical methods, PP-immuno-reactivity (IR) was localized throughout the central (CNS) and peripheral nervous systems (PNS) of the cestode, Moniezia expansa . In the CNS, immunostaining was evident in the paired cerebral ganglia (primitive brain), connecting commissure, and the paired longitudinal nerve cords that are cross-linked by numerous regular transverse connectives. The PNS was seen to consist of a fine anastomosing nerve-net of immunoreactive fibres, many of which were closely associated with reproductive structures. Radioimmunoassay of this peptide IR in acid-alcohol extracts of the worm measured 192·8 ng/g of PP–IR. HPLC analyses of the M. expansa PP–IR identified a single molecular form which was purified to homogeneity. Plasma desorption mass spectrometry (PDMS) of purified parasite peptide resolved a single peptide with a molecular mass of 4599±10 Da. Automated gas-phase Edman degradation identified a 39-amino acid peptide with a C-terminal phenyl-alaninamide. Examination of its primary structure shows that it displays significant sequence homology with the vertebrate neuropeptide Y superfamily, suggesting that this platyhelminth-derived peptide is the phylogenetic precursor. Neuropeptide F ( M. expansa ) is the first regulatory peptide to be fully sequenced from the phylum Platyhelminthes and may represent a member of an important new class of invertebrate neuropeptide.
Mutational analysis of the ligand-binding domain of the prolactin receptor. (1991)

The recent isolation and sequencing of the rat liver prolactin (PRL) receptor cDNA (clone F3) revealed that the receptor is a small molecular weight protein (nonglycosylated form, Mr 33,000; glycosylated form, Mr 42,000) comprised of 291 amino acids. A second form of the PRL receptor exists (591 amino acids) that contains a much longer cytoplasmic domain. In the present study, site-directed point mutations of the 5 conserved cysteine (Cys) residues and of the three potential N-linked glycosylation sites in the extracellular domain of the rat PRL receptor were constructed to assess their involvement in hormone binding. In addition, a truncation mutant (T delta 237) lacking 55 of 57 intracellular amino acids was constructed to determine the influence of the cytoplasmic domain on ligand-receptor interactions. Binding studies of transiently transfected COS-7 cells demonstrated that serine substitution of the first 4 Cys residues (Cys12, Cys22, Cys51, and Cys62) completely eliminated binding of 125I-ovine PRL and 125I-U5 and -U6, two monoclonal antibodies that bind the receptor molecule outside the PRL-binding domain. RNA blot analysis of the transfected cells showed that both the wild-type and mutant clones had similar levels of expression of receptor mRNA. Immunoblot analysis demonstrated that lack of PRL binding in these mutants was not due to incomplete processing of the protein, since the fully glycosylated Mr 42,000 form of the receptor was seen. Mutation of Cys184 had no effect on affinity or dimerization capacity of the receptor, suggesting the 5th cysteine is not directly involved in the binding domain. Carbohydrate groups of some receptors have been shown to be involved in ligand-receptor interactions as well as intracellular trafficking. This does not appear to be the case for the PRL receptor, since there was no corresponding decrease in affinity for PRL or cell surface receptor expression, following mutation of each of the 3 asparagine residues to aspartate. Interestingly, T delta 237 showed a 4-5-fold increase in affinity for PRL as well as a marked increase in the number of receptor sites. Whole cell binding assays also demonstrated that loss of the cytoplasmic domain lead to inefficient recycling of the receptor. These studies suggest that the first 4 conserved Cys residues are crucial for ligand binding.(ABSTRACT TRUNCATED AT 400 WORDS)
Investigations of Angular Scattering and Multipath Properties of Tropospheric Propagation of Short Radio Waves beyond the Horizon (1955)

Experiments designed to investigate the potential communications capacity of uhf and shf tropospheric propagation beyond the radio horizon were conducted by the MIT Lincoln Laboratory on circuits of from 161 to 188 miles in length along the coastal regions of the northeastern United States. Some of these tests were made in cooperation with the Bell Telephone Laboratories and the late Major E. H. Armstrong. A study of the following aspects of tropospheric propagation was considered necessary in order to gain a better understanding of the factors involved in design of communications systems: 1. The extent of useful communication bandwidths. 2. Variation of uhf and shf median signal levels over a full seasonal cycle. 3. The range and rates of fading. 4. The effective gain of highly directional antenna systems. 5. The effect of multipath propagation on modulated signals. 6. The polarization properties of scattered fields. 7. The angular dependence of scattered fields. Such experiments made from 1953 to 1955 have confirmed the utility of tropospheric circuits for wide-band communication systems and have provided information useful in the evaluation of tropospheric propagation mechanisms.
Information Technology Project Performance (2011)

In this exploratory research study the critical success factors resulting in Information Technology (IT) project performance were assessed. Previous research supported associations between critical success factors and information technology project performance. A survey of 116 different projects at firms in the United States was used as the context to examine the critical success factors in project performance. The examination of the data analysis showed the size of the project, clarity of goals and mission, availability of required technology, and client acceptance of the project had a significant impact on project performance.
MULTIBODY ANALYSIS OF THE DESMODROMIC VALVE TRAIN OF THE DUCATI MOTOGP ENGINE (2007)

This paper presents a preliminary study concerning a multibody model of the desmodromic\nvalve train used in the Ducati MotoGP engines. The desmodromic mechanism has\na positive cam that causes the dynamic effects to be partly different from common valve trains,\nwhere the valve spring plays an important role. The presented model includes only one camvalve\nmechanism. In a further step of the research, it will be possible to develop and expand the\nmodel by introducing the other cam-valve mechanisms and other mechanical parts that compose\nthe system in order to obtain a complete model of the valve train. In the first part of this\nwork, the generation of the cam profiles is explained. The second part is focused on the description\nof the multibody model employed for the dynamic simulations. Finally, the experimental\nvalidation is presented and discussed. The comparison between the numerical results and the\nexperimental data is encouraging even if it shows that the effectiveness of the model is not completely\nachieved. Therefore, it will be necessary to improve the model by including the presence\nof other mechanical parts of the valvetrain, as well as other important dynamic effects as, for\nexample, the link flexibility.
Guidelines for best practices in biometrics research (2015)

Biometric recognition has undoubtedly made great strides over the past 50 years. To ensure that current academic research in biometrics has a positive impact on future technological developments, this paper documents some guidelines encouraging researchers to focus on high-impact problems, develop solutions that are practically viable, report results using sound experimental and evaluation protocols, and justify claims based on verifiable facts. The intent is to ensure that methods and results published in the literature have been properly evaluated and are practically feasible for automated or semi-automated human recognition. It is believed that following these guidelines will avoid inflated claims and support published research on a legitimate foundation that can be embraced by practitioners and peers in biometrics and related scientific disciplines (e.g, forensic science).
Reactive Navigation of an Autonomous Ground Vehicle Using Dynamic Expanding Zones (2006)

Autonomous navigation of mobile robots through unstructured terrain presents many challenges. The task becomes even more difficult with increasing obstacle density, at higher speeds, and when a priori knowledge of the terrain is not available. Reactive navigation schemas are often dismissed as overly simplistic or considered to be inferior to deliberative approaches for off-road navigation. The Potential Field algorithm has been a popular reactive approach for low speed, highly maneuverable mobile robots. However, as vehicle speeds increase, Potential Fields becomes less effective at avoiding obstacles. The traditional shortcomings of the Potential Field approach can be largely overcome by using dynamically expanding perception zones to help track objects of immediate interest. This newly developed technique is hereafter referred to as the Dynamic Expanding Zones (DEZ) algorithm. In this approach, the Potential Field algorithm is used for waypoint navigation and the DEZ algorithm is used for obstacle avoidance. This combination of methods facilitates high-speed navigation in obstacle-rich environments at a fraction of the computational cost and complexity of deliberative methods. The DEZ reactive navigation algorithm is believed to represent a fundamental contribution to the body of knowledge in the area of high-speed reactive navigation. This method was implemented on the Virginia Tech DARPA Grand Challenge vehicles. The results of this implementation are presented as a case study to demonstrate the efficacy of the newly developed DEZ approach.
Prediction of deleterious human alleles (2001)

Single nucleotide polymorphisms (SNPs) constitute the bulk of human genetic variation, occurring with an average density of approximately 1/1000 nucleotides of a genotype. SNPs are either neutral allelic variants or are under selection of various strengths, and the impact of SNPs on fitness remains unknown. Identification of SNPs affecting human phenotype, especially leading to risks of complex disorders, is one of the key problems of medical genetics. SNPs in protein-coding regions that cause amino acid variants (non-synonymous cSNPs) are most likely to affect phenotypes. We have developed a straightforward and reliable method based on physical and comparative considerations that estimates the impact of an amino acid replacement on the three-dimensional structure and function of the protein. We estimate that approximately 20% of common human non-synonymous SNPs damage the protein. The average minor allele frequency of such SNPs in our data set was two times lower than that of benign non-synonymous SNPs. The average human genotype carries approximately 10(3) damaging non-synonymous SNPs that together cause a substantial reduction in fitness.
Efficient merging of multiple audio streams for spatial sound reproduction in Directional Audio Coding (2009)

Directional audio coding (DirAC) is an efficient technique to capture and reproduce spatial sound. The analysis step outputs a mono DirAC stream, comprising an omnidirectional microphone pressure signal and side information, i.e., direction of arrival and diffuseness of the sound field expressed in time-frequency domain. This contribution proposes a method to merge two or more mono DirAC streams for a joint playback at the reproduction side. This problem arises in applications such as immersive spatial audio teleconferencing. With respect to a trivial direct merging, the proposed method is more efficient as it does not require the synthesis step. From this follows the benefit that the loudspeaker setup at the reproduction side does not have to be known in advance. Simulations and informal listening tests confirm the absence of any artifacts and that the proposed method is practically indistinguishable from the ideal merging.
Generalized Knowledge Distillation from an Ensemble of Specialized Teachers Leveraging Unsupervised Neural Clustering (2021)

This paper proposes an improved generalized knowledge distillation framework with multiple dissimilar teacher networks, each of which is specialized for a specific domain, to make a deployable student network more robust to challenging acoustic environments. In this paper, we first address a method to partition the training data for constructing ensembles of the teachers from unsupervised neural clustering with features based on context-dependent phonemes representing each acoustic domain. Second, we illustrate how a single student network designed from partitioned data is effectively trained with multiple specialized teachers. During the training step, the weights of the student network are updated using a composite two-part cross entropy loss obtained from a pair consisting of a specialized teacher corresponding to input speech and a generalized teacher trained with a balanced data set. Unlike system combination methods, we aim to incorporate the benefits from multiple models into a single student network via knowledge distillation that does not increase any computational costs during the decoding time. The improvement of the proposed technique is shown on acoustically diverse signals contaminated by challenging practical noises.