gebhart/patrepeval huggingface dataset:
Anticoccidial 1-substituted 4(1H)-pyridinone hydrazones (1977)

Integrated building design is inherently a multi-objective optimization problem where two or more conflicting objectives must be minimized and/or maximized concurrently. Many multi-objective optimization algorithms have been developed; however few of them are tested in solving building design problems. This paper compares performance of seven commonly-used multi-objective evolutionary optimization algorithms in solving the design problem of a nearly zero energy building (nZEB) where more than 1.610 solutions would be possible. The compared algorithms include a controlled non-dominated sorting genetic algorithm with a passive archive (pNSGA-II), a multi-objective particle swarm optimization (MOPSO), a two-phase optimization using the genetic algorithm (PR-GA), an elitist non-dominated sorting evolution strategy (ENSES), a multi-objective evolutionary algorithm based on the concept of epsilon dominance (evMOGA), a multi-objective differential evolution algorithm (spMODE-II), and a multi-objective dragonfly algorithm (MODA). Several criteria was used to compare performance of these algorithms. In most cases, the quality of the obtained solutions was improved when the number of generations was increased. The optimization results of running each algorithm 20 times with gradually increasing number of evaluations indicated that the PR-GA algorithm had a high repeatability to explore a large area of the solution-space and achieved close-to-optimal solutions with a good diversity, followed by the pNSGA-II, evMOGA and spMODE-II. Uncompetitive results were achieved by the ENSES, MOPSO and MODA in most running cases. The study also found that 1400-1800 were minimum required number of evaluations to stabilize optimization results of the building energy model.
A Unique Methodology for Chatter Stability Mapping in Simultaneous Machining (2005)

A novel analytical tool is presented to assess the stability of simultaneous machining (SM) dynamics, which is also known as parallel machining. In SM, multiple cutting tools, which are driven by multiple spindles at different speeds, operate on the same workpiece. Its superior machining efficiency is the main reason for using SM compared with the traditional single tool machining (STM). When SM is optimized in the sense of maximizing the rate of metal removal constrained with the machined surface quality, typical “chatter instability” phenomenon appears. Chatter instability for single tool machining (STM) is broadly studied in the literature. When formulated for SM, however, the problem becomes notoriously more complex. There is practically no literature on the SM chatter, except a few ad hoc and inconclusive reports. This study presents a unique treatment, which declares the complete stability picture of SM chatter within the mathematical framework of multiple time-delay systems (MTDS). What resides at the core of this development is our own paradigm, which is called the cluster treatment of characteristic roots (CTCR). This procedure determines the regions of stability completely in the domain of the spindle speeds for varying chip thickness. The new methodology opens the research to some interesting directions. They, in essence, aim towards duplicating the well-known “stability lobes” concept of STM for simultaneous machining, which is clearly a nontrivial task.
Seismic characterization of reservoirs containing multiple fracture sets (2009)

ABSTRACT Natural fractures in reservoirs play an important role in determining fluid flow during production and knowledge of the orientation and density of fractures is required to optimize production. Variations in reflection amplitude versus offset (AVO) are sensitive to the presence of fractures but current models used to invert the seismic response often make simplified assumptions that prevent fractured reservoirs from being characterized correctly. For example, many models assume a single set of perfectly aligned fractures, whereas most reservoirs contain several fracture sets with variable orientation within a given fracture set. In addition, many authors only consider the azimuthal variation in the small offset amplitude versus offset and azimuth response (the variation in AVO gradient with azimuth), while the effect of fractures on amplitude versus offset and azimuth increases with increasing offset. In this paper, the variation in the reflection coefficient of seismic P ‐waves as a function of azimuth and offset due to the presence of multiple sets of fractures with variable orientation within any fracture set is used to determine the components of a second‐rank fracture compliance tensor α ij . The variation in the trace of this tensor as a function of position in the reservoir can be used to estimate the variation in fracture density with position in the reservoir and may be used to choose the location of infill wells in the field. The principal axes of α ij reveal the most compliant direction within the reservoir and may be used to optimize the trajectory of deviated wells. The determination of the principal axes of α ij requires wide azimuth acquisition and the use of the small‐offset amplitude versus offset and azimuth (the azimuthal variation of the AVO gradient) may give misleading results.
The Signal Space Separation method (2004)

Multichannel measurement with hundreds of channels essentially covers all measurable degrees of freedom of a curl and source free vector field, like the magnetic field in a volume free of current sources (e.g. in magnetoencephalography, MEG). A functional expansion solution of Laplace's equation enables one to separate signals arising from the sphere enclosing the interesting sources, e.g. the currents in the brain, from the rest of the signals. The signal space separation (SSS) is accomplished by calculating individual basis vectors for each term of the functional expansion solution to create a signal basis covering all measurable signal vectors. Any signal vector has a unique SSS decomposition with separate coefficients for the interesting signals and signals coming from outside the interesting volume. Thus, SSS basis provides an elegant method to remove external disturbances, and to transform the interesting signals to virtual sensor configurations. SSS can also be used in compensating the movements of the subject and removing the artefacts caused by magnetized particles in the subject.
One-Pot Three-Step Polymerization System Using Double Click Michael Addition and Radical Photopolymerization (2015)

A click chemistry synthetic strategy based on aza-Michael addition and radical photopolymerization is proposed to generate a polymeric network via three time-controlled steps. The selection of primary diamines and diacrylates allows two consecutive aza-Michael reactions to occur. This reaction sequence affords the unique opportunity to interpose a radical photopolymerization reaction, enhancing the cross-link density. Consequently, the second aza-Michael addition appears as a valuable postconsolidation step of the polymer network.
Digital neural emulators using tree accumulation and communication structures (1992)

Three digital artificial neural network processors suitable for the emulation of fully interconnected neural networks are proposed. The processors use N(2) multipliers and an arrangement of tree structures that provide the communication and accumulation function either individually or in a combined manner using communicating adder trees. The performance for the emulation of an N-neuron network for all processors is achieved in 2log(2)N+C time units, where C is a constant equal to the multiplication, neuron activation, and internal fixed delays. The feasibility and characteristics of the proposed configurations to emulate single and/or multiple neural networks simultaneously are discussed, and a comparison with recently proposed neurocomputer architectures is reported.
Suppression of stimulated Brillouin scattering in high power fibers using nonlinear phase demodulation (2019)

We demonstrate a modulation approach that relaxes the limitations imposed by stimulated Brillouin scattering (SBS) on amplification and propagation of narrow-linewidth light in fibers. By imposing synchronous amplitude and phase modulation on an input field, the optical spectrum after high-power fiber transmission is compressed using nonlinear self-phase modulation. This effectively reduces the SBS interaction length and increases the SBS threshold, enabling narrower linewidths. Using this technique, we demonstrate >2 × increase in SBS-limited spectral brightness from a kW-class amplifier. We show that SBS suppression becomes more effective for higher powers and longer fibers.
Numerical computation of collection efficiency in wire duct electrostatic precipitators (2003)

This paper numerically analyzes the collection efficiency associated with wire-duct electrostatic precipitators used in the control of particulates pollution. The finite element method and a modified method of characteristics are used to solve Poisson's equation and to satisfy the current continuity condition, respectively. The two methods are repeated iteratively to obtain a self-consistent solution of the describing equations. Comparing the computed results with previously obtained experimental and calculated values tests the effectiveness of this approach. The agreement with experimental results is found to be satisfactory.
Demonstration of Multiple Kerr-Frequency-Comb Generation Using Different Lines From Another Kerr Comb Located Up To 50 km Away (2019)

On-chip Kerr frequency combs are potentially promising to enhance many applications because of their broadband operation and chip-scale integration. Such combs offer various mutually coherent optical carriers that can potentially be used as both coherent light sources and local oscillators in optical communications. In this paper, we experimentally demonstrate multiple Kerr frequency comb generation using different lines from another Kerr comb located up to 50 km away. Different master comb lines after fiber propagation can be individually selected to pump distinct microresonators to generate slave combs with different repetition rates. An approximately 20 kHz linewidth can be obtained for the beat notes of the master and remote slave combs. Furthermore, results show that the linewidths of the slave comb lines almost remain the same as that of the master comb pump. A pump light with an optical signal-to-noise ratio of beyond 23 dB is required for slave comb generation. When serving as local oscillators, the slave comb lines have a smaller variation of frequency error than the comb lines generated by an independent unstabilized laser.
<i>G</i> <sup>1</sup> non-uniform Catmull-Clark surfaces (2016)

This paper develops new refinement rules for non-uniform Catmull-Clark surfaces that produce G 1 extraordinary points whose blending functions have a single local maximum. The method consists of designing an "eigen polyhedron" in R 2 for each extraordinary point, and formulating refinement rules for which refinement of the eigen polyhedron reduces to a scale and translation. These refinement rules, when applied to a non-uniform Catmull-Clark control mesh in R 3 , yield a G 1 extraordinary point.
ChemInform Abstract: 3‐(1H‐Tetrazol‐5‐yl)‐4(3H)‐quinazolinone Sodium Salt (MDL 427): A New Antiallergic Agent. (1987)

Abstract The 2‐aminobenzamide (III), prepared from the compounds (II) or (IV), is cyclized, producing the title compound MDL 427 (V).
Electrode characterization for use in a Regenerative Peripheral Nerve Interface (2013)

The Regenerative Peripheral Nerve Interface (RPNI) has the capacity to provide fine motor control and sensory feedback to advanced robotic limbs by interfacing directly with the residual extremity of an amputee. RPNI electrodes must provide high fidelity stimulation and recording capability without compromising biological integrity at the electrode-tissue interface. To identify an optimal electrode for utilization with the RPNI, multiple electrode types were characterized in vitro and in vivo. Electrochemical impedance spectroscopy, cyclic voltammetry, and in vivo electromyography (EMG) were performed. All electrodes demonstrated favorable performance. The platinum (Pt) needle and pacemaker lead exhibited lower impedance and higher charge storage capacity values during in vitro testing. Electrophysiological testing revealed that at threshold stimulation, the Pt needle and stainless steel (SS) pad electrodes recorded a larger signal of interest relative to the other experimental electrodes, while the SS pad, flexible microwire, and pacemaker lead demonstrated a larger relative signal at maximal stimulation. Several electrodes which exhibited favorable performance were identified for use in the RPNI.
Bladder cancer: Predicting response to BCG. (2013)

287 Background: Our preliminary immunohistochemical studies of bladder cancer patients have shown that the inflammatory/immune responses associated with bladder cancer appear to be Th2-polarized as judged by the preponderance of tumor infiltrating GATA-3 + (Th2) vs. T-bet + (Th1) T cells, as well as by evidence of tumor-associated eosinophil infiltration and activation. The standard-of-care treatment for Tis bladder cancer is intravesical administration of BCG, a Th1-polarizing immunomodulator. The aim of the present study was to assess the Th2/Th1 ratio correlation with response to BCG therapy in patients with Tis bladder cancer. Methods: Two groups of patients were studied. Group A included 20 patients that responded to BCG, and Group B included 20 patients that did not respond to therapy. Response to BCG was determined as presence/absence of disease at 6 months post-BCG therapy. The initial diagnostic biopsies of these patients were subjected to immunohistochemical analysis using commercially available antibodies specific for Th2 (GATA-3 + ) and Th1 (T-bet + ) lymphocytes, and our unique monoclonal antibody specific for eosinophil peroxidase (EPX-mAb). Ten random high powered (400X) fields at the maximum focus of mononuclear infiltration were examined and the number of GATA 3 + and T-bet + tumor infiltrating T cells were counted to define the G/T ratio for each patient sample. Eosinophils and their degranulation activity were counted in the same fields. Results: Patients with response to BCG therapy had a G/T ratio of ≥ 3 and patients with non-response to BCG therapy had a G/T ratio of ≤ 1.5. Correlation of these scores with subsequent patient outcomes following BCG immune therapy demonstrated that patient responsiveness (i.e., tumor elimination at 6 months) trended with the higher G/T ratio patients. In addition, initial biopsies of BCG responsive patients display a higher number of eosinophils and degranulation relative to BCG non-responsive patients. Conclusions: Evaluations of initial biopsies revealed a strong correlation between Th1 and Th2 immune response with BCG therapy outcomes. The development of specific and novel tools to identify/measure Th2 immune responses in Tis bladder cancer provides a unique opportunity to predict outcomes at the time of diagnosis.
Highly Tunable Narrow Bandpass MEMS Filter (2017)

We demonstrate a proof-of-concept highly tunable narrow bandpass filter based on electrothermally and electrostatically actuated microelectromechanical-system (MEMS) resonators. The device consists of two mechanically uncoupled clamped-clamped arch resonators, designed such that their resonance frequencies are independently tuned to obtain the desired narrow passband. Through the electrothermal and electrostatic actuation, the stiffness of the structures is highly tunable. We experimentally demonstrate significant percentage tuning (~125%) of the filter center frequency by varying the applied electrothermal voltages to the resonating structures, while maintaining a narrow passband of 550 ± 50 Hz, a stopband rejection of >17 dB, and a passband ripple ≤2.5 dB. An analytical model based on the Euler-Bernoulli beam theory is used to confirm the behavior of the filter, and the origin of the high tunability using electrothermal actuation is discussed.
Optimal Average-Complexity Ideal-Security Order-Preserving Encryption (2014)

Order-preserving encryption enables performing many classes of queries -- including range queries -- on encrypted databases. Popa et al. recently presented an ideal-secure order-preserving encryption (or encoding) scheme, but their cost of insertions (encryption) is very high. In this paper we present an also ideal-secure, but significantly more efficient order-preserving encryption scheme. Our scheme is inspired by Reed's referenced work on the average height of random binary search trees. We show that our scheme improves the average communication complexity from O(n log n) to O(n) under uniform distribution. Our scheme also integrates efficiently with adjustable encryption as used in CryptDB. In our experiments for database inserts we achieve a performance increase of up to 81% in LANs and 95% in WANs.
2D Zeolite Coatings: Langmuir–Schaefer Deposition of 3 nm Thick MFI Zeolite Nanosheets (2015)

Abstract Stable suspensions of zeolite nanosheets (3 nm thick MFI layers) were prepared in ethanol following acid treatment, which partially removed the associated organic structure‐directing agent. Nanosheets from these suspensions could then be dispersed at the air–water interface and transferred to silicon wafers using Langmuir–Schaefer deposition. Using layer‐by‐layer deposition, control on coating thickness was demonstrated. In‐plane X‐ray diffraction (XRD) revealed that the deposited nanosheets contract upon calcination similar to bulk MFI crystals. Different methods for secondary growth resulted in preferentially oriented thin films of MFI, which had sub‐12‐nm thickness in certain cases. Upon calcination, there was no contraction detectable by in‐plane XRD, indicating well‐intergrown MFI films that are strongly attached to the substrate.
Effect of surface reaction stage on fibronectin-mediated adhesion of osteoblast-like cells to bioactive glass (1998)

Bioactive glasses and ceramics enhance bone formation and bond directly to bone, and have emerged as promising substrates for bone tissue engineering applications. Bone bioactivity involves physicochemical surface reactions and cellular events, including cell attachment to adsorbed extracellular matrix proteins. The effects of fibronectin (Fn) adsorption and glass surface reaction stage on the attachment of osteoblast-like cells (ROS 17/2.8) to bioactive glass were analyzed. Bioactive glass disks were pretreated in a simulated physiologic solution to produce three reaction layers: unreacted glass (BG0), amorphous calcium phosphate (BG1d), and carbonated hydroxyapatite (BG7d). Synthetic hydroxyapatite (sHA) and nonreactive borosilicate glass (CG) were used as controls. A spinning disk device which applied a linear range of forces to attached cells while maintaining uniform chemical conditions at the interface was used to quantify cell adhesion. The number of adherent cells decreased in a sigmoidal fashion with applied force, and the resulting detachment profile provided measurements of adhesion strength. For the same amount of adsorbed Fn, cell adhesion was higher on surface-reacted bioactive glasses (BG1d and BG7d) than on BG0, CG, and sHA. For all substrates, cell attachment was primarily mediated by the RGD binding site of Fn, as demonstrated by blocking experiments with antibodies and RGD peptides. Cell adhesion strength increased linearly with adsorbed Fn surface density. Analysis of this fundamental relationship revealed that improved adhesion to reacted bioactive glasses resulted from enhanced cell receptor-Fn interactions, suggesting substrate-dependent conformational changes in the adsorbed Fn.
Large-Scale Multi-Label Learning with Incomplete Label Assignments (2014)

Multi-label learning deals with the classification problems where each instance can be assigned with multiple labels simultaneously. Conventional multi-label learning approaches mainly focus on exploiting label correlations. It is usually assumed, explicitly or implicitly, that the label sets for training instances are fully labeled without any missing labels. However, in many real-world multi-label datasets, the label assignments for training instances can be incomplete. Some ground-truth labels can be missed by the labeler from the label set. This problem is especially typical when the number instances is very large, and the labeling cost is very high, which makes it almost impossible to get a fully labeled training set. In this paper, we study the problem of large-scale multi-label learning with incomplete label assignments. We propose an approach, called Mpu, based upon positive and unlabeled stochastic gradient descent and stacked models. Unlike prior works, our method can effectively and efficiently consider missing labels and label correlations simultaneously, and is very scalable, that has linear time complexities over the size of the data. Extensive experiments on two real-world multi-label datasets show that our Mpu model consistently outperform other commonly-used baselines.
Liquid-metal anode x-ray tube (2004)

A novel type of electron-impact x-ray source based on the interaction of energetic electrons with a turbulently flowing liquid metal target is presented. The electrons enter the liquid through a thin (several microns thick) window, separating the liquid from the vacuum region in which the cathode is situated. Several electron window materials including diamond, tungsten and molybdenum were tested in combination with the liquid metal GaInSn. Satisfactory agreement has been obtained between the predictions of thermal transport models and the measured dependence of the loadability on fluid velocity. The liquid metal technology appears to represent a significant improvement in continuous loadability relative to stationary anode x-ray tubes.
Sequence variation of cytotoxic T cell epitopes in different isolates of Epstein‐Barr virus (1992)

Previous results have identified two distinct cytotoxic T lymphocyte (CTL) epitopes encoded by Epstein-Barr virus (EBV), TETA (ORF BLRF3/BERF1 residues 329-353) and EENL (ORF BERF3/BERF4 residues 290-309). Measurement of the specificities of CTL clones (TETA-specific clone 13 and EENL-specific clone 7) directed against these epitopes indicated that the EENL epitope is conserved in all strains of EBV tested while the TETA epitope varied between individual virus strains. Sequencing of the DNA regions encoding these two CTL epitopes in different EBV isolates confirmed these interpretations and demonstrated that different TETA epitope sequences were encoded by B-type EBV strains and by the B95-8 isolate of EBV compared to the other A-type EBV strains. Titration of synthetic variants of the TETA epitope revealed that the epitope encoded by B95-8 was 15-fold less efficient as a T cell epitope than the sequence encoded by other A-type viral strains while the TETA variant encoded by the B-type strains displayed essentially no activity as a T cell epitope.
Potent and broad HIV-neutralizing antibodies in memory B cells and plasma (2017)

Induction of broadly neutralizing antibodies (bnAbs) is a goal of HIV-1 vaccine development. Antibody 10E8, reactive with the distal portion of the membrane-proximal external region (MPER) of HIV-1 gp41, is broadly neutralizing. However, the ontogeny of distal MPER antibodies and the relationship of memory B cell to plasma bnAbs are poorly understood. HIV-1-specific memory B cell flow sorting and proteomic identification of anti-MPER plasma antibodies from an HIV-1-infected individual were used to isolate broadly neutralizing distal MPER bnAbs of the same B cell clonal lineage. Structural analysis demonstrated that antibodies from memory B cells and plasma recognized the envelope gp41 bnAb epitope in a distinct orientation compared with other distal MPER bnAbs. The unmutated common ancestor of this distal MPER bnAb was autoreactive, suggesting lineage immune tolerance control. Construction of chimeric antibodies of memory B cell and plasma antibodies yielded a bnAb that potently neutralized most HIV-1 strains.