gebhart/patrepeval huggingface dataset:
Operation of a Gyromagnetic Line at Low and High Voltages With Simultaneous Axial and Azimuthal Biases (2018)

A great interest has been devoted to the study of nonlinear transmission lines (NLTLs) for radio frequency (RF) generation since they have been used with great success in RF generation by producing a train of oscillatory waves along the line and at its output. There are two configurations of NLTLs. The first one is a dispersive line consisting of LC sections with nonlinear components, and the second one is a continuous ferrite loaded nondispersive line generally biased by an axial magnetic field, known as gyromagnetic line. In this paper, the focus of the study is on the second one, since gyromagnetic lines can operate in a broader frequency range (0.3-2.0 GHz) with higher conversion efficiency (20.0%) when compared to lumped NLTLs, generally limited up to 300 MHz with less than 10.0% of efficiency, because of their dielectric losses and stray impedances on line structure. Different models have been used along the years by several authors with different approaches to study the gyromagnetic phenomenon by means of numerical simulations based on analytical models to predict the precession movement of the electron magnetic dipole of the ferromagnetic material. Thus, the goal of this paper is to analyze the gyromagnetic NLTL behavior through the effects on the line operation. The novelty herein is to use two biases simultaneously to study continuous gyromagnetic NLTLs, focusing on the pulse rise time compression and RF generation caused by the precession of the magnetic dipole. An experimental setup is described and tested for low- and high-voltage operation for a 20-cm gyromagnetic line loaded with NiZn ferrite beads. The novelty of this paper is to use two biases simultaneously to study continuous gyromagnetic NLTLs, such techniques can be useful in the design of continuous lines for RF applications in space and mobile defense platforms of compact size.
Supplementary Table 8 from Characterizing the Impact of Smoking and Lung Cancer on the Airway Transcriptome Using RNA-Seq (2023)

Supplementary Table 8 from Characterizing the Impact of Smoking and Lung Cancer on the Airway Transcriptome Using RNA-Seq
Proceedings of the third International Conference on Bioinformatics & Genome Research, June 1-4, 1994 at Augustus Turnbull III, Florida State Conference Center, Tallahassee, Florida (1995)

This text is a collection of talks presented at the Third International Conference on Bioinformatics and Genome Research, June 1-4, 1994, at Tallahassee Conference Centre. Topics include: database management, genome rearrangement, molecular informatics of HIV, gene regulation and metabolism, nucleic and protein sequence research, understanding of genetic data through graphic displays, tools and techniques for genome analyses and a panel discussion of technology transfer.
The US Army burn center (2012)

Renz, Evan M. MD; King, Booker T. MD; Chung, Kevin K. MD; White, Christopher E. MD; Lundy, Jonathan B. MD; Lairet, Kimberly F. MD; Maani, Christopher F. MD; Young, Alan W. DO; Stout, Louis R. MSN; Chan, Rodney K. MD; Wolf, Steven E. MD; Baer, David G. PhD; Cancio, Leopoldo C. MD; Blackbourne, Lorne H. MD Author Information
Ultra-High Frequency (UHF) Nanomechanical Resonator Integrated With Phase Locked Loop (2004)

Nanoelectromechanical systems (NEMS) are interesting for both probing nanoscale physical fundamentals and exploring new technological applications [1]. In particular, nanomechanical resonators possess superb attributes including surprisingly-high operating frequency, ultra-small mass, high quality factor (Q), and thus are promising candidates for components in novel signal processing systems and ultra-sensitive sensors [1,2]. NEMS resonators with fundamental resonant frequencies exceeding 1GHz have been realized [3] and unprecedented mass sensitivity has also been demonstrated with VHF high-Q NEMS resonant mass sensors [2,4]. Among many engineering challenges to boost NEMS to more practical applications, it is of great importance to develop the generic protocol of integrating NEMS resonators with feedback and control systems. This work presents the first implementation of the integration of a UHF NEMS resonator with a low-noise phase locked loop (PLL).
Microfocus X-ray computed tomography based characterization of calcium phosphate â stem cells constructs combined with empirical modelling as a tool for the prediction of bone formation (2011)

peer reviewed
PriME: A parallel and distributed simulator for thousand-core chips (2014)

Modern processors are integrating an increasing number of cores, which brings new design challenges. However, mainstream architectural simulators primarily focus on unicore or multicore systems with small core counts. In order to simulate emerging manycore architectures, more simulators designed for thousand-core systems are needed. In this paper, we introduce the Princeton Manycore Executor (PriME), a parallelized, MPI-based, x86 manycore simulator. The primary goal of PriME is to provide high performance simulation for manycore architectures, allowing fast exploration of architectural ideas including cache hierarchies, coherence protocols and NoCs in thousand-core systems. PriME supports multi-threaded workloads as well as multi-programmed workloads. Furthermore, it parallelizes the simulation of multi-threaded workloads inside of a host machine and parallelizes the simulation of multi-programmed workloads across multiple host machines by utilizing MPI to communicate between different simulator modules. By using two levels of parallelization (within a host machine and across host machines), PriME can improve simulation performance which is especially useful when simulating thousands of cores. Prime is especially adept at executing simulations which have large memory requirements as previous simulators which use multiple machines are unable to simulate more memory than is available in any single host machine. We demonstrate PriME simulating 2000+ core machines and show near-linear scaling on up to 108 host processors split across 9 machines. Finally we validate PriME against a real-world 40-core machine and show the average error to be 12%.
A novel chronic dural port platform for continuous collection of cerebrospinal fluid and intrathecal drug delivery in free-moving mice (2022)

The CDP method enables the collection of a large volume of high-quality CSF and direct intrathecal drug administration with real-time behavioral assessment in free-moving mice. Combined with animal models relevant to CNS disorders, this method provides a unique and valuable platform for biomarker and therapeutic drug research.
Cardiovascular Disease: Gene Therapy (2007)

Abstract Recent progress in molecular and cellular biology has developed numerous effective cardiovascular drugs. However, there are still a number of diseases for which no known effective therapy exists, such as peripheral arterial disease, ischaemic heart disease and vascular bypass graft occlusion. Currently, gene therapy is emerging as a potential strategy for the treatment of cardiovascular disease to treat such diseases despite its limitation. The first human trial in cardiovascular disease was started in 1994 to treat peripheral vascular disease using vascular endothelial growth factor (VEGF). Since then, many different potent angiogenic growth factors have been tested clinically to treat peripheral arterial disease and ischaemic heart disease. Improvement of clinical symptoms in peripheral arterial disease and ischaemic heart disease has been reported. In addition, another strategy for combating disease processes is to target transcriptional process, that has been tested in a human trial.
Impact of Scattering Within a Multipath Simulator Antenna Array on the Ricean Fading Distribution Parameters in OTA Testing (2014)

In this paper, we investigate the unwanted scattering that exists within the multipath simulator (MPS) array antennas employed in over the air (OTA) testing of mobile terminals. The impact of scattering is evaluated in terms of the measurement uncertainty of the average received power and the Ricean <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex Notation="TeX">$K$</tex> </formula> -factor. The maximum ratio combining diversity is investigated for a generic device under test comprising two half-wavelength dipole antennas. We provide closed-form expressions for the uncertainties of the average received power and the Ricean <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex Notation="TeX">$K$</tex></formula> -factor for a uniform circular array of MPS antennas and a 2-D uniformly distributed angle-of-arrival spectrum. We also derive the maximum number of MPS antennas and the minimum ring radius of the MPS system as a function of the separation between the most distant antenna elements if the device under test employs a uniform linear array. As a result, we provide design guidelines for MPS array in terms of the number antennas, the radius of the MPS array and the wavelength of the carrier frequency.
Lymphoma immunotherapy: Efficacy, safety and accessibility to CAR‐T therapy for lymphomas (2018)

1st Department of Internal Medicine, University Hospital of Cologne, Germany This is an open access Abstract Book distributed under the Attribution-NonCommercial-NoDerivs (CCBY-NC-ND), which allows third parties to download the abstracts and share them with others as long as they credit the author and the abstract book, but they cannot change the content in any way or use them commercially. http://creativecommons.org/licenses/by-nc-nd/4.0
On the Design and Analysis of Multiple View Descriptors (2013)

We propose an extension of popular descriptors based on gradient orientation histograms (HOG, computed in a single image) to multiple views. It hinges on interpreting HOG as a conditional density in the space of sampled images, where the effects of nuisance factors such as viewpoint and illumination are marginalized. However, such marginalization is performed with respect to a very coarse approximation of the underlying distribution. Our extension leverages on the fact that multiple views of the same scene allow separating intrinsic from nuisance variability, and thus afford better marginalization of the latter. The result is a descriptor that has the same complexity of single-view HOG, and can be compared in the same manner, but exploits multiple views to better trade off insensitivity to nuisance variability with specificity to intrinsic variability. We also introduce a novel multi-view wide-baseline matching dataset, consisting of a mixture of real and synthetic objects with ground truthed camera motion and dense three-dimensional geometry.
Hydrodynamics of otoacoustic emissions (2000)

In this paper, a novel boundary condition for the classical cochlear model will be outlined that allows the realistic simulation of tone-burst transiently evoked otoacoustic emissions (TEOAEs). OAEs are sounds that are emitted from the inner ear and have been related to hearing function. Classical cochlear models suffer from an inability to realistically simulate OAEs because of the simplistic treatment of the hydrodynamics at the interface between the oval window, stapes, and cochlear fluid. In the classical cochlear model, there are two boundary conditions; the first describes the helicotrema, and the second details how fluid is displaced by the oval window in response to sound entering the ear. In this model, OAE production cannot be simulated because once the stimulating sound is stopped, the oval window is immobile and incapable of transmitting acoustical energy back out of the inner ear. In this paper, this boundary condition will be reconsidered in light of the additional fluid displacement caused by the movement of the cochlear partition. The addition of this boundary condition yields realistic simulations of tone-burst OAEs, both in time evolution and frequency content.
Konformációs viszonyok és elektronszerkezet-változások vizsgálata fehérjékben = Investigation of conformational fluctuations and electronic structure variations in proteins (2008)

Feltérképeztük a foszfoglicerát kináz molekuláris felismerési folyamataiban szerepet játszó konformációs változásokat. Elvégeztük a foszfoinozitol kináz 3 alfa izoformájánnak 3D szerkezetpredikcióját, azonban a ligandumkötődés vizsgálatára a kooperáló partner elállása miatt nem került sor. Felderítettük a tetrahidribiopterin (BH4) kofaktor szerepe a nitrogén monoxid szintetáz (NOS) aktiválódásában. Meghatároztuk a NO kötőhelyét a nitroforin 4 (NP4) fehérje aktív helyén. Low-mode (LMOD) keresésen alapuló platfromfüggetlen konformerkereső és dokkoló eljárást dolgoztunk ki, amely az AMBER programcsomagban is hozzáférhető. Elvégeztük a kifejlesztett eljárás több konformerkereső módszerrel történő összehasonlító vizsgálatát. Eljárást dolgoztunk ki humán P450 2C9 ligandumok azonosítására és az izoforma specificitás vizsgálatára a 2C családban. Felderítettük a NADH kofaktor és NO kölcsönhatás szerepét a P450 NO-reduktáz fehérjében. A támogatott időszak alatt megkezdett hisztamin receptorok kutatását érintő vizsgálataink alapján új lipofil zsebet találtunk a H1 receptorban, ligandum információkkal segített homológiamodellezéssel előállítottuk a H4 receptor első atomi felbontású modelljét és eljárást dolgoztunk ki új H4 ligandunok azonosítására. Utóbbi eljárást az eddig ismert legkiterjedtebb szerkezet alapú szűrővizsgálatban alkalmazva új, kísérletileg is megerősített H4 ligandumokat azonosítottunk. | Conformational motions responsible for the substrate recognition in phosphoglycerate kinase have been explored. Homology model for phosphoinositol 3 kinase alpha isoform has been developed, however docking studies were suspended due to the changed interest of the partner (ComGenex Inc). The role of tetrahydrobiopterin cofactor in nitric oxide synthase has been clarified. The putative nitric oxide binding site in nitrophorin 4 has been identified. A platform-independent LMOD conformational search method has been developed and integrated to AMBER package at UCSF. The performance of this method has been evaluated and compared to other algorithms. A new virtual screening protocol has been developed for the identification of CYP 2C9 ligands. The protocol was useful for isofom specificity studies in the 2C family. The role of NADH-nitric oxide interaction in P450-No reductase has been investigated. A new lipophilic binding pocket in human histamine H1 receptor has been identified. The first atom-level model of human histamine H4 receptor has been constructed by ligand supported homology modelling. that was used to develop an effective virtual screening protocol. The protocol allowed us to perform the largest structure based virtual screening experiment using a screening database of more than 8 million compounds. Identified new chemical scaffolds showed submicromolar binding affinity towards the human histamine H4 receptor as revealed by experimental studies.
Online identification and tuning method of static &amp; dynamic inductance of IPMSM for fine position sensorless control (2014)

When position-speed sensorless control is used, the estimation error of the position may degrade because of inductance value fluctuation due to the current. Therefore, we propose a online parameter identification method to identify the static inductance and the dynamic inductance and magnet flux by using fixed trace algorithm. In the proposed method, the harmonic is superimposed on the voltage reference. As the result, the estimation error of the position is reduced by the proposed method because the identified inductance is reflected in the position-speed sensorless control. The validity of proposed method is confirmed by the numerical simulation results and the experiment results in this paper.
Microwave sensor concept for the detection of gas inclusions inside microfluidic channels (2015)

In this contribution a new sensor concept for the detection of gas inclusions in microfluidic channels is presented. The sensor operates at microwave frequencies with two microstrip patch antennas. To prevent gas embolism in a variety of clinical branches the sensor yields a powerful detection since patch antennas operate at different frequencies for different permittivities surrounding them. Simulations and measurements reveal that monitoring of the shifting resonance frequency indicates changing materials like gas in liquids.
Efficient Multiple Access Using Received Signal Strength and Local Channel Information (2008)

Contention-based multiple access is a crucial component of many wireless systems. It is known that using interference cancellation techniques to receive and decode multiple packets that arrive simultaneously can improve the efficiency of multiple access. However, such multi-packet reception (MPR) schemes proposed in the literature require complex receivers capable of performing advanced signal processing over significant amounts of soft undecodable information received over multiple contention steps. In this paper, we show that local channel knowledge and elementary received signal strength measurements, which are made by many receivers today, can actively facilitate multi-packet reception and even simplify the interference canceling receiver's design. We introduce a simple algorithm called turbo-dual power multiple access (turbo-DPMA) that uses local channel knowledge to limit the receive power levels to two discrete values that are carefully chosen to facilitate successive interference cancellation. As we shall see, limiting the receive power in such a manner not only facilitates the simultaneous reception of up to two packets, but it also enables the receiver to derive additional useful information about the contending users from its received signal strength indicator. The resulting receiver structure is markedly simpler, as it needs to process only the immediate received signal, without having to store and process signals received previously. Even more remarkably, the turbo-DPMA is stable for packet arrival rates as high as 0.793 packets/slot, which is significantly better than all the contention algorithms known to date.
Bounds on the Rate of 2-D Bit-Stuffing Encoders (2009)

A method for bounding the rate of bit-stuffing encoders for 2-D constraints is presented. Instead of considering the original encoder, we consider a related one which is quasi-stationary. We use the quasi-stationary property in order to formulate linear requirements that must hold on the probabilities of the constrained arrays that are generated by the encoder. These requirements are used as part of a linear program. The minimum and maximum of the linear program bound the rate of the encoder from below and from above, respectively. A lower bound on the rate of an encoder is also a lower bound on the capacity of the corresponding constraint. For some constraints, our results lead to tighter lower bounds than what was previously known.
P1‐080: Ask1 kinase‐dead knock‐in mice and models of neurodegeneration (2008)

ASK1 kinase lies upstream of p38 and JNK kinases and is activated via a number of stimuli, including oxidative stress and proinflammatory agents (e.g. TNFα), proposing involvement in a number of disease states. Cortical neurons cultured from ASK1 knock-out (KO) mice are claimed to show attenuated neuronal cell death following incubation with Aβ25–35 peptide, suggesting a role in Alzheimer's disease. ASK1 is reported also to be activated in in vitro and in vivo models of Parkinson's disease. Introduction of a point mutation has allowed us to generate an ASK1 kinase dead knock-in (KI) mouse model which more accurately mimics the effects of a small molecule inhibitor, i.e. the presence of a kinase-inactive ASK1 protein. ASK1 mice were generated containing as point mutation in the kinase active site (K716R). For in vitro analysis, cortical neurons were isolated from E15 embryos, cells treated with Aβ1–42 peptide and toxicity measured using an LDH assay. Animals were treated with 10–30mg/kg MPTP and beam walking behaviour assessed. Striatal catecholamine content was measured using HPLC 7 days following MPTP treatment. Signalling via ASK1 was reduced in astrocytes from ASK1 KI mice, as evidenced by a reduction in p38 activation following either an H2O2 or LPS stimulus. However, primary cortical neurons cultured from either ASK1 KI or wild-type mice displayed similar extents of cell death when incubated with Aβ1–42 peptide. Our results thus demonstrate a clear difference in cellular responses between cells taken from ASK1 KO compared to those from the ASK1 KI mice. ASK1 KI mice treated with MPTP showed significantly reduced behavioural deficits compared to wild-type animals. In addition, MPTP induced reductions in striatal catecholamine content were attenuated in ASK1 KI mice compared to wild type control mice, suggesting a neuroprotective phenotype. In conclusion our results show that cells from ASK1 KI mice display biochemical differences from wild-type cells, as a function of cell type and stimulus, together with a reduced phenotype when challenged in vivo with an oxidative stress agent commonly used as in model of Parkinson's disease.
A nucleic acid amplification test‐based strategy does not help inform return to work for healthcare workers with COVID‐19 (2022)

Implementation of a test-based strategy is logistically challenging, increases costs, and did not lead to shorter isolation in our institution.
Learning Light Field Synthesis with Multi-Plane Images: Scene Encoding as a Recurrent Segmentation Task (2020)

In this paper we address the problem of view synthesis from large baseline light fields, by turning a sparse set of input views into a Multi-plane Image (MPI). Because available datasets are scarce, we propose a lightweight network that does not require extensive training. Unlike latest approaches, our model does not learn to estimate RGB layers but only encodes the scene geometry within MPI alpha layers, which comes down to a segmentation task. A Learned Gradient Descent (LGD) framework is used to cascade the same convolutional network in a recurrent fashion in order to refine the volumetric representation obtained. Thanks to its low number of parameters, our model trains successfully on a small light field video dataset and provides visually appealing results. It also exhibits convenient generalization properties regarding both the number of input views, the number of depth planes in the MPI, and the number of refinement iterations.
A framework for testimony-infused automated adjudicative dynamic multi-agent reasoning in ethically charged scenarios (2022)

In "high stakes" multi-agent decision-making under uncertainty, testimonial evidence flows from "witness" agents to "adjudicator" agents, where the latter must rationally fix belief and knowledge, and act accordingly.The testimonies provided may be incomplete or even deceptive, and in many domains are offered in a context that includes other kinds of evidence, some of which may be incompatible with these testimonies.Therefore, before believing a testimony and on that basis moving forward, the adjudicator must systematically reason to suitable strength of belief, in a manner that takes account of said context, and globally judges the core issue at hand.To further complicate matters, since the relevant information perceived by the adjudicator changes over time, adjudication is a nonmonontonic/defeasible affair: adjudicators must dynamically strengthen, weaken, defeat, and reinstate belief and knowledge.Toward the engineering of artificial agents capable of handling these representation-and-reasoning demands arising from testimonial evidence in multi-agent decision-making, we explore herein extensions to one of our prior cognitive calculi: the Inductive Cognitive Event Calculus (IDCEC).We ground these extensions in a recent, tragic drone-strike scenario that unfolded in Kabul, Afghanistan, in the hope that use by humans of our brand of logic-based AI in future such scenarios will save human lives.