gebhart/patrepeval huggingface dataset:
Multi-Channel Entity Alignment via Name Uniqueness Estimation (2020)

When searching for adversarial activity within multiple networks, one of the greatest challenges is how to accurately align entities across different channels of information. This task becomes increasingly difficult when minimal additional information is known about each individual besides a name. Within this study, we analyze name rarity and how it can be used to align people on three distinct data channels: Venmo financial transactions, Reddit online discussions, and a bibliographic data source of academic writings. We explore how the uniqueness of a name can be used to decide if a person is likely the same as another across networks, in the absence of any additional ground truth. While 100 percent confidence cannot be gained, we can use this information to clarify when a possible alignment is more or less likely to be the same individual, increasing our confidence of accurately detecting adversarial behavioral patterns. From the data collected, we found that 0.1% of people had the same name across data sets, and 22.5% of those names are considered rare by our threshold. In our study, we also examine the accuracy of our method and show how real names can be extracted from account usernames, and compared in a similar manner.
Naïve Regulatory T Cell Subset Is Altered in X-Linked Agammaglobulinemia (2021)

The interplay between T- and B-cell compartments during naïve, effector and memory T cell maturation is critical for a balanced immune response. Primary B-cell immunodeficiency arising from X-linked agammaglobulinemia (XLA) offers a model to explore B cell impact on T cell subsets, starting from the thymic selection. Here we investigated characteristics of naïve and effector T cell subsets in XLA patients, revealing prominent alterations in the corresponding T-cell receptor (TCR) repertoires. We observed immunosenescence in terms of decreased diversity of naïve CD4<sup>+</sup> and CD8<sup>+</sup> TCR repertoires in XLA donors. The most substantial alterations were found within naïve CD4<sup>+</sup> subsets, and we have investigated these in greater detail. In particular, increased clonality and convergence, along with shorter CDR3 regions, suggested narrower focused antigen-specific maturation of thymus-derived naïve T<sub>reg</sub> (CD4<sup>+</sup>CD45RA<sup>+</sup>CD27<sup>+</sup>CD25<sup>+</sup>) in the absence of B cells - normally presenting diverse self and commensal antigens. The naïve T<sub>reg</sub> proportion among naïve CD4 T cells was decreased in XLA patients, supporting the concept of impaired thymic naïve T<sub>reg</sub> selection. Furthermore, the naïve T<sub>reg</sub> subset showed prominent differences at the transcriptome level, including increased expression of genes specific for antigen-presenting and myeloid cells. Altogether, our findings suggest active B cell involvement in CD4 T cell subsets maturation, including B cell-dependent expansion of the naïve Treg TCR repertoire that enables better control of self-reactive T cells.
Cortically controlled brain-machine interface (2005)

Over the past ten years, we have tested and helped develop a multi-electrode array for chronic cortical recordings in behaving non-human primates. We have found that it is feasible to record from dozens of single units in the motor cortex for extended periods of time and that these signals can be decoded in a closedloop, real-time system to generate goal-directed behavior of external devices. This work has culminated in a FDA clinical trial that has demonstrated that a tetraplegic patient can voluntarily modulate motor cortical activity in order to move a computer cursor to visual targets. Further advances in BMI technology using non-human primates have focused on using multiple modes of control from signals in different cortical areas. We demonstrate that primary motor cortical activity may be optimized for continuous movement control whereas signals from the premotor cortex may be better suited for discrete target selection. We propose a hybrid BMI whereby decoding can be voluntarily switched from discrete to continuous control modes.
Wind Turbine Prognostics and Health Management (2020)

Wind power generating capacity was 239 GW at the end of 2011, with a further 46 GW of installed capacity to be operational by the end of 2012. While only providing 2.8% of the energy produce in the United States, its is anticipated that by 2030, fully 20% of the electrical energy will come from wind. This widespread deployment of industrial wind projects will require a more proactive maintenance strategy in order to be more cost competitive with traditional energy systems, such as natural gas or coal. This will be particularly true for offshore wind projects, where availability of the site for maintenance can be restricted for extend period of time due to weather. Prognostics and Health Management of these assets can improve operational availability while reducing the cost of unscheduled maintenance.
Automatic online tuning for fast Gaussian summation (2008)

Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several meth-ods have been proposed to reduce the computational complexity of evaluating such sums, including tree and analysis based methods. These achieve varying speedups depending on the bandwidth, dimension, and prescribed error, making the choice between methods difficult for machine learning tasks. We provide an algorithm that combines tree methods with the Improved Fast Gauss Transform (IFGT). As originally proposed the IFGT suffers from two problems: (1) the Taylor series expansion does not perform well for very low bandwidths, and (2) parameter se-lection is not trivial and can drastically affect performance and ease of use. We address the first problem by employing a tree data structure, resulting in four eval-uation methods whose performance varies based on the distribution of sources and targets and input parameters such as desired accuracy and bandwidth. To solve the second problem, we present an online tuning approach that results in a black box method that automatically chooses the evaluation method and its parameters to yield the best performance for the input data, desired accuracy, and bandwidth. In addition, the new IFGT parameter selection approach allows for tighter error bounds. Our approach chooses the fastest method at negligible additional cost, and has superior performance in comparisons with previous approaches. 1
Die Bestimmung von Mono- und Diphosphat im Urin (1975)

Im Jahre 1962 entdeckten Fleisch und Bisaz (1) im Urin des Menschen eine Substanz, die in vitro eine Calciumphosphatausfällung hemmt. Diese Substanz wurde isoliert und als Diphosphat (Pyrophosphat) identifiziert. Weitere Studien zeigten, daß diesem Phosphatmetaboliten eine besondere Funktion als Inhibitor der Nierensteinbildung, besonders von Calciumphosphat- und Calciumoxalatsteinen, zukommt (2, 3).
COMPUTER VISION SCHEMES FOR LUNG CANCER DETECTION (1990)

Giger, M. L. Ph.D.; Yoshimura, H. M.Sc.; Bae, T. Ph.D.; Doi, K. Ph.D.; MacMahon, H. M.D.; Montner, S. M.D.; Metz, C. E. Ph.D. Author Information
Implementing clamp on wireless torque measurement system for rotating shaft applications (UI) (2011)

Typically mechanical torque measurement is required for the verification of simulation model of systems consisting of electrical drive, electric motor, load, and control system. It is also possible to detect faults in system by torque measurement. In this paper a wireless measurement system to measure mechanical torque and its oscillations on a shaft of electric motor is studied and developed. The operation of the system is verified by laboratory tests. The wireless torque measurement system is based on a strain gauge collar which can be installed around the shaft of the motor. Installation and the use of the wireless torque measurement system does not require any modifications to the system under measurement. In this paper inaccuracy boundaries of the wireless torque measurement system are determined. Comparison tests of the developed torque measurement system with a commercial system are carried out, and the results are analyzed.
ChemInform Abstract: Synthesis and Anti‐HIV Activity of 1,3‐Dithiolane Nucleosides. (1999)

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.
Performance of non-orthogonal access with SIC in cellular downlink using proportional fair-based resource allocation (2012)

This paper investigates the system-level throughput of non-orthogonal access with a successive interference canceller (SIC) in the cellular downlink assuming proportional fair (PF)-based radio resource (bandwidth and transmission power) allocation. The purpose of this study is to examine the possibility of applying non-orthogonal access with a SIC to the systems beyond the 4G (thus IMT-Advanced) cellular system. Both the total and cell-edge average user throughput are important in a real system. PF-based scheduling is known to achieve a good tradeoff by maximizing the product of the average user throughput among users within a cell. In non-orthogonal access with a SIC, the scheduler allocates the same frequency to multiple users, which necessitates multiuser scheduling. To achieve a better tradeoff between the total and cell-edge average user throughput, we propose and compare three power allocation strategies among users, which are jointly implemented with multiuser scheduling. Extensive simulation results show that non-orthogonal access with a SIC with a moderate number of non-orthogonally multiplexed users significantly enhances the system-level throughput performance compared to orthogonal access, which is widely used in 3.9 and 4G mobile communication systems.
How to Teach a Neural Network to Identify Seismic Interference (2014)

Summary In this paper, we approach automated seismic interference (SI) identification for towed-streamer acquisitions in a new way. We show how to teach a neural network to identify SI based on features the human brain would use for such a task. This includes describing geophysical attributes such as amplitudes and wavefield propagation directions with instantaneous and multishot statistical measures. The statistical measures are then passed to a multilayer perceptrons neural network, first for training and then validation using noise-free synthetic data. Following encouraging results on the synthetic data, we applied the neural network to identify SI on field data from the North Sea and Barents Sea without any further training. The SI in a North Sea case study was very similar to the SI used for training; whereas, the SI in a Barents Sea case study was very different in terms of moveout and amplitude. Even though the neural network was only trained on noise-free synthetics, it successfully detected the SI in both cases.
A genaralized multi-frequency impedance matching technique (2016)

This paper describes a generalized multi-frequency impedance transformer capable of providing concurrent matching at arbitrary number of frequencies. A frequency dependent complex load (FDCL) has been considered but the scheme is applicable for real loads as well. The exact analysis of the proposed design results in closed form equations with many independent free variables to cater to the wide range of FDCLs. The proposed theory is validated through a prototype fabricated on Rogers RO5880, with permittivity of 2.2, and working at 0.9/1.8/2.1/2.9 GHz. The good agreement between measured and the EM simulated results validate the proposed technique.
Size and Nonstoichiometry Effects on Magnetic Properties of ${\hbox{La}}_{0.5}\hbox{Ca}_{0.5}\hbox{MnO}_{3}$ Manganite (2009)

AC and dc magnetic measurements in temperature interval 5-350 K and at external magnetic field H les 5 T were employed to probe the finite-size and nonstoichiometry effects on magnetic ordering of La <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0.5</sub> Ca <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0.5</sub> MnO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> half-doped manganite compound. It is shown that the complex mixed magnetic ordering in bulk samples appears to be unstable regarding the both effects. The strongest one is the size effect, suppressing the mixed order and inducing the ferromagnetic-like one, which is characteristic also for other half-doped manganites. The small variations in cation composition (nonstoichiometry), which don't influence the crystal structure, lead to strong perturbations in the mixed magnetic ordering of the bulk. The results obtained are discussed in the terms of pronounced competition of spin, charge and lattice degrees of freedom, characteristic for doped manganites.
Core Energy Capacitance of NiZn Inductors (2022)

In the high-frequency (3–30 MHz) range, NiZn cores are commonly used. They have much lower permeability and permittivity than materials typically used at lower frequencies, including MnZn ferrites. Previously used capacitance models rely on the perfect electrical conductor assumption. They are not applicable when NiZn cores are used. We propose a general core energy capacitance model found by solving the electric field boundary value problem. We also propose a simplified model by curve fitting to finite element analysis data. Both are verified by simulation and experimental results in two case studies with rod and pot core structures.
Reduced pathogenicity of the SARS-CoV-2 omicron variant in hamsters (2022)

Funding for this study was provided by NIH grant CA260476, the Massachusetts Consortium for Pathogen Readiness, the Ragon Institute, and the Musk Foundation.
Development of MPEG camera (2002)

We have developed a handy digital camera to record MPEG-1 video and JPEG still photo. The newly developed camera signal processing LSI and real-time MPEG-1 codec LSI compress and decompress images, and a RISC MPU, SH-3, does MPEG-1 audio compression and decompression. We adopt PC card type HDD to record compressed image and audio instead of tape media for easy file handling and high adaptability with PC. Users are able to arrange, retrieve and playback files on the camera easily using the 1.8" TFT-LCD and "Media Navigation System", the built-in file handling function.
Pancreatic cancers depend on a non-canonical glutamine metabolism pathway (2014)

Cancer cells exhibit metabolic dependencies that distinguish them from their normal counterparts. Among these addictions is an increased utilization of the amino acid glutamine (Gln) to fuel anabolic processes. Recently, we reported the identification of a non-canonical pathway of Gln utilization in human pancreatic cancer cells that is required for tumor growth. While most cells utilize glutamate dehydrogenase (GLUD1) to convert Gln-derived glutamate (Glu) into a-ketoglutarate (aKG) in the mitochondria to fuel the tricarboxylic acid cycle, pancreatic cancer cells rely on a distinct pathway that integrates the mitochondrial and cytosolic aspartate aminotransferases GOT2 and GOT1. By generating aKG from Glu (in conjunction with the conversion of oxaloacetate into aspartate), GOT2 fuels anaplerosis in place of GLUD1. The Asp created is released into the cytosol and acted on by GOT1. This is subsequently used through as eries of reactions to yield cytosolic NADPH from malic enzyme. Importantly, we have demonstrated that pancreatic cancers are strongly dependent on this series of reactions to maintain redox homeostasis which enables proliferation. Herein, we detail the subcellular compartmentalization and consequences of the aforementioned reactions on pancreatic cancer metabolism. We have also investigated the essentiality of this pathway in other contexts and find that pancreatic cancers have a uniform and unique reliance on this pathway, which may provide novel therapeutic approaches to treat these refractory tumors.
Sensor-based estimation of BTEX concentrations in water samples using recursive least squares and Kalman filter techniques (2016)

This work investigates sensor signal processing approaches that can be used with a sensor system for direct on-site monitoring of groundwater, enabling detection and quantification of BTEX (benzene, toluene, ethylbenzene and xylene) compounds at μg/L (ppb) concentrations in the presence of interferents commonly found in groundwater. A model for the sensor response to water samples containing multiple analytes was first formulated based on experimental results. The first signal processing approach utilizes only RLSE (recursive least squares estimation) whereas the second, a two-step processing technique, utilizes both RLSE and bank of Kalman filters for the estimation process. The estimation techniques were tested using actual sensor responses to contaminated groundwater samples. Results indicate that relatively accurate concentration estimates (within ±15–23% for benzene) can be obtained in near-real time using these techniques. The two-step processing technique gave more accurate results. This approach allows the use of a single sensor, even for multiple analyte detection and quantification.
Ilmenite Inclusion: A Solution towards Solid Sagging for Hematite-Based Invert Emulsion Mud (2022)

The sagging tendency of hematite in drilling mud is a common challenge occurring at high-pressure and high-temperature (HP/HT) applications. This work studies the performance of hematite-based invert emulsion mud for HP/HT conditions and provides a solution to prevent the hematite settlement using a combination of ilmenite with hematite. Practical mud formulation was utilized over a range of ilmenite/hematite ratios (0/100, 20/80, 40/60, and 50/50%) to study sagging behaviour. From the sag tests, the optimum combination proportion was determined. Thereafter, the density, emulsion stability, rheological and viscoelastic properties, and filtration conduct for the formulated mud were evaluated. The experiments were conditioned as per the standards of the American Petroleum Institute. The obtained results of sagging experiments indicated that including 50% of ilmenite mitigated the hematite settling and reduced the sag tendency towards the safe range. A slight drop (4%) in mud weight was noticed upon adding the ilmenite, whereas the emulsion stability was enhanced from 551 to 574 volts with the 50% ilmenite content. The rheology and viscoelasticity measurements showed that 50/50% combination improved the yield point (YP) by 50% with a trivial 1 cP increment on plastic viscosity (PV), hence enhancing the YP/PV ratio by 46%. Also, the gelling strength was enhanced resulting in flat rheology and better gel structure. The filtration behaviour of 50% ilmenite mud was improved compared to blank hematite as it resulted in 21, 15, and 17% reduction on the filtrated volume, filter cake weight, and thickness, respectively. This study provides a solution for hematite sagging issue at HP/HT using combined weighting agents, which contributes to enhancing the mud stability and avoiding several well control issues and related operational and technical challenges that eventually will economize the drilling cost and time.
3 GHz band HTS multichannel receiving unit with 8 modules (2013)

We have proposed an 3 GHz band High-Tc superconducting (HTS) multichannel receiving unit with 8 receiving modules. Each module consists of a small HTS filter and a cooled low noise amplifier (LNA). The HTS filter consists of a number of inter-digital hairpin microstrip line resonators. The module size realize 22×29.5 mm and vacuum chamber size of the HTS multichannel receiving unit realize 152×180×119 mm. It realizes the smallest size as such module products. Insertion loss of the HTS filter was smaller than 0.1dB. As a results, measured results of noise temperature at 77 K for the HTS multichannel receiving unit improved to less than 1/3 as compared with the noise temperature of only LNA at room temperature.
Coupled Quantum Dots and Photonic Crystals for Nanophotonic Devices (2006)

Abstract : To this end we worked to combine engineered QD5 with engineered PC cavities to explore and exploit simultaneous electronic and optical confinement. Technical thrusts included Nanocavity design and device development along with integration with the quantum dot (QD) active region. The first approach which we considered was to incorporate self-assembled QD5 into the starting epitaxial material, where the PC nanocavities are fabricated after growth. The PCs design and fabrication was optimized for high cavity Q and minimal cavity volume. In parallel, we developed nanopatterning capability to arbitrarily place a single QD or an ensemble of identical QUs within the PC.
Synthesis of ordered mesoporous silica templated with biocompatible surfactants and applications in controlled release of drugs (2012)

A novel series of mesoporous silica materials has been developed by using non-ionic, biocompatible alkyl maltoside surfactants as organic structure directing agents and working under biomimetic conditions (e.g., room temperature and almost neutral pH) to avoid modifications of potential drugs occluded within. The obtained mesophases were tuned by changing the template and its concentration. These sugar surfactant–silica platforms were used as drug delivery carriers for ibuprofen, by encapsulating drug molecules within the hydrophobic core of the template micelles. The obtained surfactant-assisted delivery systems constitute a new approach towards controlled release of small therapeutic molecules.
Comparative Proteomics Profiling of a Phospholamban Mutant Mouse Model of Dilated Cardiomyopathy Reveals Progressive Intracellular Stress Responses (2007)

Defective mobilization of Ca2+ by cardiomyocytes can lead to cardiac insufficiency, but the causative mechanisms leading to congestive heart failure (HF) remain unclear. In the present study we performed exhaustive global proteomics surveys of cardiac ventricle isolated from a mouse model of cardiomyopathy overexpressing a phospholamban mutant, R9C (PLN-R9C), and exhibiting impaired Ca2+ handling and death at 24 weeks and compared them with normal control littermates. The relative expression patterns of 6190 high confidence proteins were monitored by shotgun tandem mass spectrometry at 8, 16, and 24 weeks of disease progression. Significant differential abundance of 593 proteins was detected. These proteins mapped to select biological pathways such as endoplasmic reticulum stress response, cytoskeletal remodeling, and apoptosis and included known biomarkers of HF (e.g. brain natriuretic peptide/atrial natriuretic factor and angiotensin-converting enzyme) and other indicators of presymptomatic functional impairment. These altered proteomic profiles were concordant with cognate mRNA patterns recorded in parallel using high density mRNA microarrays, and top candidates were validated by RT-PCR and Western blotting. Mapping of our highest ranked proteins against a human diseased explant and to available data sets indicated that many of these proteins could serve as markers of disease. Indeed we showed that several of these proteins are detectable in mouse and human plasma and display differential abundance in the plasma of diseased mice and affected patients. These results offer a systems-wide perspective of the dynamic maladaptions associated with impaired Ca2+ homeostasis that perturb myocyte function and ultimately converge to cause HF.
Supplementary Figure Legends from Construction of an Immunotoxin, D2C7-(scdsFv)-PE38KDEL, Targeting EGFRwt and EGFRvIII for Brain Tumor Therapy (2023)

&lt;p&gt;Supplementary Figure Legends - PDF file 88K, Supplementary Figure Legends 1-9&lt;/p&gt;