gebhart/patrepeval huggingface dataset:
Numerical modeling, testing and bias drift analysis of MEMS based three-axis gyroscope for accurate angular rate estimation for attitude determination of nano-satellites (2013)

This paper deals with the mathematical analysis, testing and necessary assessment on the source of drift was done both statistically as well as experimentally for accurate attitude determination of specifically Nano-satellites using Micro-Electro Mechanical Systems based three-axis gyroscopes. In the recent times, the gyroscope application has been a major concern during the important missions due to their inability to transfer data efficiently and effectively during the mission period due to which there had been immense data loss and in some cases even failure. Especially, the MEMS based low cost gyroscopes are of an important concern due to their high bias drift rate in the space environment. Hence, in order to study, simulate, test, analyze and evaluate the performance of the three-axis MEMS based gyroscope, intensive research was carried out. A potential quaternion based mathematical model was simulated to scrutinize the bias drift variation in the 3-axis gyroscope and then a testing of a unique MEMS based 3-axis gyroscopes was done to practically learn and understand the variation and actual source of drift at different situations under operation. After the testing, the data was compiled and the necessary basic bias drift analysis was done. Noting the results of simulations and testing, some significant conclusions were made.
Thermal effects on second-harmonic generation in biaxial molecular crystals (1999)

The theory required for description of the effect of the temperature rise that is due to self-induced heating on second-harmonic generation is developed and applied to the biaxial molecular crystal (-)2-α-(methylbenzylamino)-5-nitropyridine (MBANP). It is shown that for the range of parameters considered there is an optimum input power of the fundamental beam for highest second-harmonic conversion efficiency. A maximum efficiency of 61% was calculated for the optimum input power of 19.6 kW with a beam radius of 0.25 mm and an interaction length of 1.6 cm.
Anti-Drug Antibodies in Pigtailed Macaques Receiving HIV Broadly Neutralising Antibody PGT121 (2021)

Broadly neutralising antibodies (bNAbs) may play an important role in future strategies for HIV control. The development of anti-drug antibody (ADA) responses can reduce the efficacy of passively transferred bNAbs but the impact of ADA is imperfectly understood. We previously showed that therapeutic administration of the anti-HIV bNAb PGT121 (either WT or LALA version) controlled viraemia in pigtailed macaques with ongoing SHIV infection. We now report on 23 macaques that had multiple treatments with PGT121. We found that an increasing number of intravenous doses of PGT121 or human IgG1 isotype control antibodies (2-4 doses) results in anti-PGT121 ADA induction and low plasma concentrations of PGT121. ADA was associated with poor or absent suppression of SHIV viremia. Notably, ADA within macaque plasma recognised another human bNAb 10E8 but did not bind to the variable domains of PGT121, suggesting that ADA were primarily directed against the constant regions of the human antibodies. These findings have implications for the development of preclinical studies examining multiple infusions of human bNAbs.
Low-power 20-Gb/s SiGe BiCMOS driver with 2.5 V output swing (2012)

this paper investigates low-power design of high-speed and high-swing electronic driver circuits. A method to estimate and optimize the power consumption of such driver ICs is presented. A 20-Gb/s driver circuit is fabricated in 0.25 µm SiGe BiCMOS process and an output swing of 2.5 V <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">pp</inf> is measured. The driver consumes 0.75 W from 5 V supply.
A tutorial on generalized eigendecomposition for denoising, contrast enhancement, and dimension reduction in multichannel electrophysiology (2021)

The goal of this paper is to present a theoretical and practical introduction to generalized eigendecomposition (GED), which is a robust and flexible framework used for dimension reduction and source separation in multichannel signal processing. In cognitive electrophysiology, GED is used to create spatial filters that maximize a researcher-specified contrast. For example, one may wish to exploit an assumption that different sources have different frequency content, or that sources vary in magnitude across experimental conditions. GED is fast and easy to compute, performs well in simulated and real data, and is easily adaptable to a variety of specific research goals. This paper introduces GED in a way that ties together myriad individual publications and applications of GED in electrophysiology, and provides sample MATLAB and Python code that can be tested and adapted. Practical considerations and issues that often arise in applications are discussed.
Liquid Crystal Orientation on the Surface of Obliquely-Evaporated Silicon Monoxide with Homeotropic Surface Treatment (1980)

We have investigated the liquid crystal molecular orientation on a surface coated by oblique evaporation of SiO followed by treatment with homeotropic surface coupling agents. This is found to be a useful technique for obtaining the liquid crystal orientation with a small pretilt from homeotropic alignment. The orientation mechanism on surfaces with and without homeotropic treatment is also investigated. The results show that the relationships among evaporation conditions, surface topography and liquid crystal orientation can be explained well by using the columnar structure model of obliquely-evaporated films proposed by Goodman-van de Waterbeemd.
Sparse Learning via Iterative Minimization With Application to MIMO Radar Imaging (2010)

Through waveform diversity, multiple-input multiple-output (MIMO) radar can provide higher resolution, improved sensitivity, and increased parameter identifiability compared to more traditional phased-array radar schemes. Existing methods for target estimation, however, often fail to provide accurate MIMO angle-range-Doppler images when there are only a few data snapshots available. Sparse signal recovery algorithms, including many <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex Notation="TeX">$l_{1}$</tex></formula> -norm based approaches, can offer improved estimation in that case. In this paper, we present a regularized minimization approach to sparse signal recovery. Sparse learning via iterative minimization (SLIM) follows an <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex Notation="TeX">$l_{q}$</tex></formula> -norm constraint (for <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex Notation="TeX">$0<q\leq 1$</tex></formula> ), and can thus be used to provide more accurate estimates compared to the <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex Notation="TeX">$l_{1}$</tex></formula> -norm based approaches. We herein compare SLIM, through imaging examples and examination of computational complexity, to several well-known sparse methods, including the widely used CoSaMP approach. We show that SLIM provides superior performance for sparse MIMO radar imaging applications at a low computational cost. Furthermore, we will show that the user parameter <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex Notation="TeX">$q$</tex></formula> can be automatically determined by incorporating the Bayesian information criterion.
Tissue Protecting Antidotes From Anti-Apoptotic Factors of Mycoplasma (2005)

The major goal of the program is identification of novel radioprotectants of Mycoplasma origin. The program consisted of two branches; screening of Mycoplasma strains for anti-apoptotic factors; and testing of predicted candidates for radioprotective activity. Both approaches were successfully implemented and yielded positive results. First, we have found and are currently characterizing a strong anti-apoptotic activity in the lysates of M. arginini. Second, an extremely potent radioprotectant, named CBLB601, structurally related to Mycoplasma lipopeptides was discovered. We have optimized CBLB601 administration regime for reaching maximal radioprotection as well as embarked upon characterization of its toxicological and pharmacological profiles. CBLB601 showed remarkable efficacy, being capable of protecting 100% of treated mice from supralethal 10Gy total body irradiation dose with evident rescuing lymphoid organs. Initial structure-function analysis of CBLB601 led to the understanding that radioprotection is conferred by stimulation of TLR2/TLR6 but not TLR2/TLR1 dimers.
SSPCM 혼입 콘크리트의 역학적 성능 기반 배합설계기법 연구 (2015)

As energy consumption of building and the reduction of carbon dioxide emissions have been emphasized, phase change materials(PCM) have been introduced as building materials due to its high heat storage performance. Using shape-stabilizing technique, octadecane/xGnP shape-stabilized PCM(SSPCM) can prevent leakage and improve heat storage performance. The objectives of this study are to propose mix design method of concrete mixed with SSPCM and to evaluate mechanical behaviors of the concrete mixed with SSPCM manufactured according to the proposed mix design. Based on the previously reported material test result, the existing mix design of plain concrete(Concrete standard specification, 2009) is modified to consider reduction of strength in concrete due to the addition of SSPCM. To verify the proposed mix design, specimens are fabricated according to the proposed mix design and axial strength tests and three-point loading tests are performed. Test results show that compressive strengths of the tested specimens reach the designed strength even when two different mix ratios of SSPCM are used. From three-point loading tests, flexural stresses decrease as mix ratio of SSPCM increases.
AdaptSens: An Adaptive Data Collection and Storage Service for Solar-Powered Sensor Networks (2009)

In this paper, we present AdaptSens: a reliable data collection and storage system for solar-powered sensor networks. Unlike battery-operated devices, solar-powered systems have a less predictable energy supply and their ability to harvest energy depends on past spending, thereby creating incentives for adaptive matching of energy supply and demand. Our storage system is novel in its layered architecture and its incremental layer activation mechanism. AdaptSens provides a set of functions, in separate layers, such as sensory data collection, replication (to prevent failure-induced data loss), and storage balancing (to prevent depletion-induced data loss). The mechanism utilizes surplus energy when available by activating more layers, and resorts to progressively more energy-efficient (partial hibernation) modes when energy is scarce. Best reliability is achieved when all layers are active but meaningful intermediate modes allow different degrees of energy conservation. The efficacy of AdaptSens in trading off reliability for energy is tested on both an outdoor system and an indoor testbed. Evaluation results show that AdaptSens minimizes the sum of all data losses when combining the energy, storage and node failure factors.
Intravenous immunoglobulins induce potentially synergistic immunomodulations in autoimmune disorders (2009)

The increase in platelets in patients with immune thrombocytopenia (ITP) by intravenous administration of human immunoglobulin concentrates (IVIG) reflects a therapeutic immunomodulatory intervention targeted at the disturbed immune response in many inflammatory and autoimmune disorders. These immunoglobulin concentrates contain large numbers of antibodies as well as trace levels of various other immunologically active molecules. Clinical and laboratory studies have documented various mechanisms of action of IVIG. The complex network of immunological reactions resulting from the infusion of IVIG includes changes in several cytokines, interactions with dendritic cells, T- and B- lymphocyte effects, macrophage effects, mediated by distinct Fc-gamma receptors. In addition, effects on complement components and apoptosis have also been observed. Synergism between the different elements of the immune response characterizes the beneficial effects of IVIG in inflammatory and autoimmune disorders. They have immunopathogeneses and clinical manifestations which are difficult to define and therefore IVIG treatment indications remain heterogeneous. Dose finding studies are missing for most of the indications of the drug. In future research, defining the appropriate subgroups of patients should be undertaken. This may be accomplished by prospective registries collecting data on large numbers of patients with long-term follow-up. Controlled clinical and laboratory studies may follow based on new, validated patient selection criteria and focused on mechanisms of action, leading to more evidence-based indications.
BAYDA: software for Bayesian classification and feature selection (1998)

BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Naive Bayes classifier. It is well-known that the Naive Bayes classifier performs well in predictive data mining tasks, when compared to approaches using more complex models. However, the model makes strong independenceassumptions that are frequently violated in practice. For this reason, the BAYDA software also provides a feature selection scheme which can be used for analyzing the problem domain, and for improving the prediction accuracy of the models constructed by BAYDA. The scheme is based on a novel Bayesian feature selection criterion introduced in this paper. The suggested criterion is inspired by the Cheeseman-Stutz approximation for computing the marginal likelihood of Bayesiannetworks with hidden variables. The empirical results with several widelyused data sets demonstrate that the automated Bayesian...
Emergent Properties of Dense DNA Phases toward Artificial Biosystems on a Surface (2014)

CONSPECTUS: The expression of genes in a cell in response to external signals or internal programs occurs within an environment that is compartmentalized and dense. Reconstituting gene expression in man-made systems is relevant for the basic understanding of gene regulation, as well as for the development of applications in bio- and nanotechnology. DNA polymer brushes assembled on a surface emulate a dense cellular environment. In a regime of significant chain overlap, the highly charged nature of DNA, its entropic degrees of freedom, and its interaction with transcription/translation machinery lead to emergent collective biophysical and biochemical properties, which are summarized in this Account. First, we describe a single-step photolithographic biochip on which biomolecules can be immobilized. Then, we present the assembly of localized DNA brushes, a few kilo-base pairs long, with spatially varying density, reaching a DNA concentration of ∼10(7) base pairs/μm(3), which is comparable to the value in E. coli. We then summarize the response of brush height to changes in density and mono- and divalent ionic strength. The balance between entropic elasticity and swelling forces leads to a rich phase behavior. At no added salt, polymers are completely stretched due to the osmotic pressure of ions, and at high salt they assume a relaxed coil conformation. Midrange, the brush height scales with ratio of density and ionic strength to the third power, in agreement with the general theory of polyelectrolyte brushes. In response to trivalent cations, DNA brushes collapse into macroscopic dendritic condensates with hysteresis, coexistence, and a hierarchy of condensation with brush density. We next present an investigation of RNA transcription in the DNA brush. In general, the brush density entropically excludes macromolecules, depleting RNA polymerase concentration in the brush compared to the bulk, therefore reducing transcription rate. The orientation of transcription promoters with respect to the surface also affects the rate with a lower value for outward compared to inward transcription, likely due to local changes of RNA polymerase concentrations. We hypothesize that equalizing the macromolecular osmotic pressure between bulk and brush with the addition of inert macromolecules would overcome the entropic exclusion of DNA associated proteins, and lead to enhanced biochemical activity. Finally, we present protein synthesis cascades in DNA brushes patterned at close proximity, as a step toward biochemical signaling between brushes. Examining the synthesis of proteins polymerizing into crystalline tubes suggests that on-chip molecular traps serve as nucleation sites for protein assembly, thereby opening possibilities for reconstituting nanoscale protein assembly pathways.
Theory and implementation of dielectric resonator antenna excited by a waveguide slot (2005)

Excitation of dielectric resonator antennas (DRAs) by waveguide slots is proposed as an alternative to traditionally used excitation mechanisms in order to enhance the frequency bandwidth of slotted waveguide radiators and to control the power coupled to the DRA. The analysis is based on the numerical solution of coupled integral equations discretized using the method of moments (MoM). The dielectric resonator (DR) is modeled as a body-of-revolution based on the integral equation formulation for the equivalent electric and magnetic surface current densities. The analysis of an infinite or a semi-infinite waveguide containing longitudinal or transverse narrow slots uses the appropriate dyadic Green's function resulting in closed-form analytical expressions of the MoM matrix. The scattering parameters for a slotted waveguide loaded with a dielectric resonator antenna disk are calculated and compared with finite-difference time-domain results. Bandwidth enhancement is achieved by the proper selection for the antenna parameters.
Sugar Recognition by a Glucose/Galactose Receptor (1995)

A new theoretical method for free energy calculations is used to compute the absolute binding constants for beta-D-glucose and methyl-beta-D-galactoside to the periplasmic glucose/galactose receptor from Salmonella typhimurium. The computer simulation results agree well with available experimental data and make it possible to assess the sources of both the high affinity as well as the specificity for glucose. It was found that the major contribution to the binding energy comes from electrostatic interactions and particularly hydrogen bonds of the charge-dipole type. We also predict the structure of the complex with methyl-galactoside as this has not yet been experimentally determined.
A practical intrusion detection system for Internet of vehicles (2016)

Internet of Vehicles (henceforth called IoV) is a public network system and high-value target for intrusions that may cause efficiency issues, privacy leakages or even physical damage. Conventional intrusion detection methods are normally designed for the Internet infrastructures which cannot directly apply in the context of IoV. This work proposes an FPGA based intrusion detection method that can not only achieve real-time scanning performance but also be applied in vehicular environment. We evaluate our scheme on a Xilinx FPGA based platform. Experiments show that the proposed system can achieve a throughput of more than 39 Gbps on existing FPGA platform which is about 15% higher than state-of-the-art techniques, and the total power consumption for the prototype is about 7.5 w. Moreover, the processing latency of the prototype is about 4 us and is about one sixtieth part of the popular software IDS systems.
Review of progress in quantitative nondestructive evaluation. Volume 6B (1987)

This volume comprises the second half of the proceedings of the Thirteenth Annual Review of Progress in Quantitative Nondestructive Evaluation and consists of 87 papers on the following topics: nondestructive property, defect and processing evaluation and monitoring of advanced composites; nondestructive testing of electronic materials and devices; nondestructive materials characterization for mechanical and microstructural properties along with acoustoelasticity, stress, and texture; nondestructive evaluation for cracks and deformation; and nondestructive evaluation for ferromagnetic materials and weldments and bonds. The nondestructive techniques employed range from ultrasonic, thermal, eddy current and electromagnetic to x-ray radiography procedures.
A Distributed Object Model for the Java System. (1996)

We show a distributed object model for the Java^TM System [1,6] (hereafter referred to simply as &quot;Java&quot;) that retains as much of the semantics of the Java object model as possible, and only includes differences where they make sense for distributed objects. The distributed object system is simple, in that a) distributed objects are easy to use and to implement, and b) the system itself is easily extensible and maintainable. We have designed such a model and implemented a system that supports remote method invocation (RMI) for distributed objects in Java. This system combines aspects of both the Modula-3 Network Objects system [3] and Spring&apos;s subcontract [8] and includes some novel features. To achieve its goal of seamless integration in the language, the system exploits the use of pickling [14] to transmit arguments and return values and also exploits unique features of Java in order to dynamically load stub code to clients. The final system will include distributed reference-counting garbage collection for distributed objects as well as lazy activation [11,16].
Cross-Linking of Type I Collagen with Microbial Transglutaminase: Identification of Cross-Linking Sites (2010)

Collagen is a popular biomaterial. To deal with its lack of thermal stability and its weak resistance to proteolytic degradation, collagen-based materials are stabilized via different cross-linking procedures. Regarding the potential toxicity of residual cross-linking agents, enzyme-mediated cross-linking would provide an alternative and nontoxic method for collagen stabilization. The results of this study show that type I collagen is a substrate for mTG. However, epsilon-(gamma-glutamyl)lysine cross-links are only incorporated at elevated temperatures when the protein is partially or completely denatured. A maximum number of 5.4 cross-links per collagen monomer were found for heat-denatured collagen. Labeling with the primary amine monodansylcadaverine revealed that at least half of the cross-links are located within the triple helical region of the collagen molecule. Because the triple helix is highly ordered in its native state, this finding might explain why the glutamine residues are inaccessible for mTG under nondenaturing conditions.