gebhart/patrepeval huggingface dataset:
Supplementary Table S3 from Discovery of Candidate DNA Methylation Cancer Driver Genes (2023)

&lt;p&gt;Benchmarked methods DNAme drivers.&lt;/p&gt;
Highly efficient wavelength conversion in quasi-phase-matched adhered ridge waveguide (2009)

Efficient wavelength conversion is demonstrated in a 50 mm-long quasi-phase-matched adhered ridge waveguide. We obtained DFG wavelength conversion efficiency of +7.6 dB and signal light gain of +9.5 dB at a pump power of 160 mW.
Automatic Selection and Combination of Descriptors for Effective 3D Similarity Search (2005)

We focus on improving the effectiveness of similarity search in 3D object repositories from a system-oriented perspective. Motivated by an effectiveness evaluation of several individual 3D retrieval methods, we research a selection heuristic, called purity, for choosing retrieval methods based on query-dependent characteristics. We show that the purity selection method significantly improves the search effectiveness compared to the best single methods. We then show that retrieval effectiveness can be further boosted by considering combinations of multiple retrieval methods to perform the search. We propose to use a dynamically weighted combination of feature vectors based on the purity concept, and we experimentally show that the search effectiveness of our combined methods by far exceeds the effectiveness of our best implemented single method.
Conduction development in electrically conductive adhesives with a bimodal size distributed conducting and inert particles: effect of polydispersity (2002)

A well known approach for reducing the electrical percolation threshold of an electrically conductive material is to mix the relatively small sized conducting fillers with the relatively large sized inert particles. The percolation limit in terms of the volume fraction of conducting particles is known to decrease with increasing ratio of the mean size between the small and large particles. However, both the small conducting and large inert particles rarely exist as monodispersed, rather, there is a respective size distribution for each of them. Such a size distribution is expected to affect the development of conductivity as well as the percolation threshold. The first theoretical model for considering such a size dispersity effect on the conduction development and the percolation limit is reported. It is shown that the present model not only includes all the previous ones for considering only the particle size ratio effect, it considers the respective role played by the ratio of mean particle size, the size dispersity and the volume fraction on the electrical conduction development and the percolation limit. The model suggests an innovative route for processing new conductive adhesives with ultralow percolation limits. Other implications for manufacturing electrically conductive adhesives are also discussed.
Power System State Estimation via Feasible Point Pursuit: Algorithms and Cramér-Rao Bound (2018)

Accurately monitoring the system's operating point is central to the reliable and economic operation of an autonomous energy grid. Power system state estimation (PSSE) aims to obtain complete voltage magnitude and angle information at each bus given a number of system variables at selected buses and lines. Power flow analysis amounts to solving a set of noise-free power flow equations, and is cast as a special case of PSSE. Physical laws dictate quadratic relationships between available quantities and unknown voltages, rendering general instances of power flow and PSSE nonconvex and NP-hard. Past approaches are largely based on gradient-type iterative procedures or semidefinite relaxation (SDR). Due to nonconvexity, the solution obtained via gradient-type schemes depends on initialization, while SDR methods do not perform as desired in challenging scenarios. This paper puts forth novel feasible point pursuit (FPP)-based solvers for power flow analysis and PSSE, which iteratively seek feasible solutions for a nonconvex quadratically constrained quadratic programming reformulation of the weighted least-squares (WLS). Relative to the prior art, the developed solvers offer superior numerical performance at the cost of higher computational complexity. Furthermore, they converge to a stationary point of the WLS problem. As a baseline for comparing different estimators, the Cramér-Rao lower bound is derived for the fundamental PSSE problem in this paper. Judicious numerical tests on several IEEE benchmark systems showcase markedly improved performance of our FPP-based solvers for both power flow and PSSE tasks over popular WLS-based Gauss-Newton iterations and SDR approaches.
Ion Mobility–Mass Spectrometry Reveals Long‐Lived, Unfolded Intermediates in the Dissociation of Protein Complexes (2007)

Gefaltet oder nicht gefaltet? Messungen der Ionenbeweglichkeit und Massenspektrometrie eines aktivierten Proteinkomplexes geben einen Einblick in die Strukturen der Dissoziationsintermediate. Die aktivierten Ionen von humanem tetramerem Transthyretin nehmen vor der Dissoziation partiell gefaltete Zwischenstufen ein (siehe Bild; gefaltete Untereinheiten: blau, partiell entfaltete Untereinheiten: rot). Supporting information for this article is available on the WWW under http://www.wiley-vch.de/contents/jc_2001/2007/z702161_s.pdf or from the author. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
Correlation between collective and molecular dynamics in pH-responsive cyclodextrin-based hydrogels (2017)

UV Raman and Brillouin light scattering (BLS) experiments have been used in this study to explore the complex phase change behavior occurring in pH-responsive polysaccharide hydrogels as a function of temperature. Due to the different physical quantities measured by the two techniques, the joint analysis of Raman and BLS spectra has provided an unprecedented large-scale characterization of the molecular rearrangements and of the different kinds of hydrophilic and hydrophobic interactions that cooperate to determine the phase transformation observed in these hydrogels during the heating of the gel. As the main result, the analysis of the Raman and BLS spectra showed the existence of a correlation between the local (molecular) and collective properties of the gels during the phase transformation undergone by the system, which is markedly triggered by pH. The joint set of experimental results suggests a model according to which the mechanism of pH dependence in the hydrogels under investigation is dominated by the interactions involving the hydrophobic parts of the polymer skeleton, whereas the solvation process observed under heating of the gels is driven by the progressive distancing of the polymer domains among them, as monitored by the Brillouin sound velocity.
Graph Adversarial Networks: Protecting Information against Adversarial Attacks (2021)

We study the problem of protecting information when learning with graph-structured data. While the advent of Graph Neural Networks (GNNs) has greatly improved node and graph representational learning in many applications, the neighborhood aggregation paradigm exposes additional vulnerabilities to attackers seeking to extract node-level information about sensitive attributes. To counter this, we propose a minimax game between the desired GNN encoder and the worst-case attacker. The resulting adversarial training creates a strong defense against inference attacks, while only suffering small loss in task performance. We analyze the effectiveness of our framework against a worst-case adversary, and characterize the trade-off between predictive accuracy and adversarial defense. Experiments across multiple datasets from recommender systems, knowledge graphs and quantum chemistry demonstrate that the proposed approach provides a robust defense across various graph structures and tasks, while producing competitive GNN encoders.
Supplementary Figure 1 from Identification of Existing Drugs That Effectively Target <i>NTRK1</i> and <i>ROS1</i> Rearrangements in Lung Cancer (2023)

&lt;p&gt;Pathways targeted by the Dana-Farber Targeted Therapy Collection and clinical development status&lt;/p&gt;
Long Chain Branched Polypropene Prepared by Means of Propene Copolymerization with 1,7-Octadiene Using MAO-Activated rac-Me2Si(2-Me-4-Phenyl-Ind)2ZrCl2 (2001)

Small amounts of 1,7-octadiene (OD) comonomer, ranging from 0.5–5.0 mol-%, were added during propene polymerization, catalyzed with methylalumoxane (MAO) activated rac-Me2Si(2-Me-4-phenyl-Ind)2ZrCl2 (MPI), in order to incorporate long chain branches and small amounts of high molecular mass polypropene (PP), thus improving melt processability of isotactic metallocene-polypropene. As a function of the OD content the PP melting temperatures varied from 120 to 160°C. The presence of long chain branches was reflected by increased zero shear viscosities combined with pronounced shear thinning behavior in the case of propene/OD copolymers with molecular mass distribution of M̄w/M̄n < 4. Rheological measurements clearly revealed crosslinking occurring at high OD content. OD addition impaired catalyst activities. However, in the presence of trace amounts of ethene, catalyst activities increased significantly even in the presence of high OD content.
FPGA Programming for the Masses (2013)

When looking at how hardware influences computing performance, we have GPPs (general-purpose processors) on one end of the spectrum and ASICs (application-specific integrated circuits) on the other. Processors are highly programmable but often inefficient in terms of power and performance. ASICs implement a dedicated and fixed function and provide the best power and performance characteristics, but any functional change requires a complete (and extremely expensive) re-spinning of the circuits.
10000 pixels wide CMOS frame imager for earth observation from a HALE UAV (2009)

MEDUSA is the lightweight high resolution camera, designed to be operated from a solar-powered Unmanned Aerial
Vehicle (UAV) flying at stratospheric altitudes. The instrument is a technology demonstrator within the Pegasus program
and targets applications such as crisis management and cartography. A special wide swath CMOS imager has been
developed by Cypress Semiconductor Cooperation Belgium to meet the specific sensor requirements of MEDUSA.
The CMOS sensor has a stitched design comprising a panchromatic and color sensor on the same die. Each sensor
consists of 10000*1200 square pixels (5.5μm size, novel 6T architecture) with micro-lenses. The exposure is performed
by means of a high efficiency snapshot shutter. The sensor is able to operate at a rate of 30fps in full frame readout.
Due to a novel pixel design, the sensor has low dark leakage of the memory elements (PSNL) and low parasitic light
sensitivity (PLS). Still it maintains a relative high QE (Quantum efficiency) and a FF (fill factor) of over 65%. It features
an MTF (Modulation Transfer Function) higher than 60% at Nyquist frequency in both X and Y directions The measured
optical/electrical crosstalk (expressed as MTF) of this 5.5um pixel is state-of-the art. These properties makes it possible
to acquire sharp images also in low-light conditions.
Effects of CDMA transmitter filtering in overlay systems (2002)

An application that has been proposed is the overlay of a code division multiple access (CDMA) system on a frequency band that is also populated by narrowband users from another system. The two systems can coexist in the same frequency band as a result of their intrinsic properties. This paper focuses on the degradation in the performance of the narrowband system and how it can be lessened. In particular, we expand on an idea proposed by Davis (1993), the use of a notch filter at the CDMA transmitter to avoid frequency bands currently occupied by narrowband users. It is shown that without this filtering, the overlay of a CDMA system renders the existing narrowband system inoperable.
Synthesis and Characterization of Some New C2 Symmetric Chiral Bisamide Ligands Derived from Chiral Feist’s Acid (2012)

The hemilabile chiral C2 symmetrical bidentate substituted amide ligands (1R,2R)-5(a-d) and (1S,2S)-6(a-d) were synthesized in quantitative yield from (1R,2R)-(+)-3-methylenecyclo-propane-1,2-dicarboxylic acid (1R,2R)-3 and (1S,2S)-(-)-3-methylene-cyclopropane-1,2-dicarboxylic acid (1S,2S)-3, in two steps, respectively. The chiral Feist's acids (1R,2R)-3 and (1S,2S)-3 were obtained in good isomeric purity by resolution of trans-(±)-3-methylene-cyclopropane-1,2-dicarboxylic acid from an 8:2 mixture of tert-butanol and water, using (R)-(+)-α-methylbenzyl amine as a chiral reagent. This process is reproducible on a large scale. All these new synthesized chiral ligands were characterized by 1H-NMR, 13C-NMR, IR, and mass spectrometry, as well as elemental analysis and their specific rotations were measured. These new classes of C2 symmetric chiral bisamide ligands could be of special interest in asymmetric transformations.
Power Scalable Beam-Oriented Digital Predistortion for Compact Hybrid Massive MIMO Transmitters (2020)

This article proposes a power scalable beam-oriented digital predistortion (PSBO-DPD) architecture suitable for linearizing PAs in compact hybrid massive multiple-input multiple-output (MIMO) transmitters, without the need to implement a dedicated observation path for each PA. Based on an assumption that all PAs are similar, the feedback configuration for only one PA is sufficient to acquire the nonlinear information of PAs in a given subarray, which are driven at different power levels due to amplitude beamforming. Therefore, the PSBO-DPD resolves the deficiency of current DPD techniques in hybrid beamforming array by estimating the output signal of each PA from the only captured output signal from one PA to construct the main beam signal of the subarray. The predistorter is identified based on the estimated main beam signal and the input signal driving the subarray. To estimate the outputs of each PA efficiently, a power scalable cascade PA model is proposed to reduce the computational complexity and associated overhead in terms of cost and energy consumption. Measurements on a 4-element antenna array with up to 100 MHz bandwidth signal are carried out to validate and bench mark the proposed PSBO-DPD against the existing DPD technique in hybrid massive MIMO transmitters.
Synthesis, Characterization, and Sunlight Mediated Photocatalytic Activity of CuO Coated ZnO for the Removal of Nitrophenols (2015)

CuO@ZnO core-shell catalysts, coated by varying the CuO layer density ranging from 0.5% to 10%, were synthesized with the aim to enhance the photocatalytic activity of ZnO in sunlight and control its photocorrosion. Initially, the Cu(2+) ions were impregnated on presynthesized ZnO by wet impregnation and finally converted to CuO layers by calcination. The optical and structural characterization of the synthesized powders was performed by DRS, PL, Raman spectroscopy, and XRD analysis, respectively. The homogeneity of the coated layers was explored by FESEM. The photocatalytic activity of CuO coated ZnO was investigated for the degradation of mononitrophenols (2-, 3-, and 4-nitrophenol) and dinitrophenols (2,4-, 2,5-, and 2,6-dinitrophenol) in the exposure of the complete spectrum and visible region (420-800 nm) of sunlight. The effect of the increasing density coated layers of CuO on photocatalytic activity was evaluated for the degradation of 4-NP. Compared to pristine ZnO, a substantial increase in the degradation/mineralization ability was observable for the catalysts coated with 0.5% and 1% CuO, whereas a detrimental effect was noticed for higher coating density. Prior to photocatalytic studies, as evaluated by cyclic voltammetry (CV), compared to pure ZnO, a significant suppression of photocorrosion was noticed, under illumination, for catalysts coated with lower CuO coating. The progress of the photocatalytic degradation process was monitored by HPLC while the mineralization ability of the synthesized catalysts was estimated by TOC. The estimation of the released ions and their further interaction with the excited states and the reactive oxygen was monitored by ion chromatography (IC).
Automated Fault Detection and Diagnostics for Outdoor-Air Ventilation Systems and Economizers: Methodology and Results from Field Testing (1999)

This paper describes a prototype diagnostic system that automatically detects and diagnoses problems with outdoorair ventilation and economizer operation in commercial buildings using data available from building automation systems (BASs). The system also provides context-sensitive suggestions for correcting the problems detected. The diagnostics are based on rules derived from engineering models of proper and improper air-handler performance. These rules are implemented as a decision tree structure in software. Data collected periodically from a BAS are used to navigate the decision tree and reach conclusions regarding the operating state of the airhandling unit (AHU). Errors and uncertainty in measured data are handled through adjustable tolerance settings in the diagnostic software. Results to date indicate that meaningful results can be obtained using this approach. The diagnostic system can be implemented for either continuous or batch processing of data. This system is currently installed on seven AHUs in two buildings. Four of the seven AHUs were found to have problems shortly after installation of the diagnostic system. The diagnostic methodology, its implementation in software, the field installations, and test results are described in this paper. The findings clearly demonstrate the potential for automated diagnostic technology to serve an important role in commercial building commissioning and operation.
Infrared focusing mirror based on multilevel reflectarray (2010)

This contribution shows the first demonstration of a focusing reflectarray working at infrared wavelengths. The principles of design are based on the resonance of sub-wavelength metallic patches, properly sized to produce a given phase shift between the incoming and reflected wave-fronts. The multilevel phase-shifts are arranged following a Fresnel zone scheme. The designed reflectarray is fabricated and tested, showing the expected focusing behaviour.
Towards a monolithic, substrate-reusable and an all-epitaxial design for III–V-on-Si solar cells (2015)

Integration of III-V multijunction solar cells on Si substrate can address the future levelized cost of energy by unifying the high-efficiency merits of III-V materials with the low-cost and abundance of Si. A Si-compatible monolithically integrated 3J InGaP/GaAs/Ge-Si cell design with a hybrid Ge-Si bottom cell is investigated. Utilizing a combination of comprehensive modeling and experimental material characterization techniques, we present our results for ultrathin epitaxial Ge directly grown on Si substrate using molecular beam epitaxy. Virtual “Ge-on-Si” substrates could provide a large-area, low-cost alternative to expensive GaAs wafers, a promising step towards realizing monolithic, high-efficiency and low-cost III-V-on-Si photovoltaics.
A Microphone Array Solution for Duplex Hands-Free Communication Systems (2007)

This paper proposes a microphone array solution for speech enhancement in hands-free communication systems. The proposed algorithm aims to enhance a target signal corrupted by background noise as well as the acoustic echo. The main idea lies in the incorporation of both the source and the interference short-term spectral amplitudes in the solution. These spectral components are estimated iteratively to provide a spectrally optimized constraint. Evaluations in a hands-free car environment show that the proposed algorithm is good in suppressing both the noise and the interference even in a double-talk situation.
A short periconceptional maternal hyperglycemia is sufficient to disrupt the feto-placental phenotype in a rabbit model (2014)

Delphine Rousseau-Ralliard et Anne Tarrade: equal contribution
Supplementary Data from Characteristics and Outcome of <i>AKT1</i><sup>E17K</sup>-Mutant Breast Cancer Defined through AACR Project GENIE, a Clinicogenomic Registry (2023)

&lt;p&gt;Supplementary Tables and Figures&lt;/p&gt;
Humoral Immunity Directed against Tumor-Associated Antigens As Potential Biomarkers for the Early Diagnosis of Cancer (2008)

Over the past decade, it has been demonstrated that cancer is immunogenic, and multiple tumor antigens have been identified in cancer patients. It is now possible to potentially harness the immune response elicited by cancer growth as a potential diagnostic tool. Humoral immunity, or the development of autoantibodies against tumor-associated proteins, may be used as a marker for cancer exposure. Unlike circulating proteins that are shed by bulky tumors, serum autoantibodies are detectable even when antigen expression is minimal. This paper will review the methods used for tumor antigen discovery and overview what is known about autoantibodies targeting common cancer antigens with a focus on breast cancer. Data will be presented modeling the use of tumor antigen associated autoantibodies as a breast cancer diagnostic. The endogenous humoral immune response present in cancer patients may allow the identification of individuals exposed to the malignant transformation of somatic cells.
Virulence of an aspergillopepsin-deficient mutant ofAspergillus fumigatusand evidence for another aspartic proteinase linked to the fungal cell wall (1997)

A gene replacement was performed to produce mutants of Aspergillus fumigatus deficient in the aspergillopepsin PEP (E.C. 3.4.23.18). The correct replacement of the PEP gene was confirmed by PCR and Southern hybridization experiments, whereas the absence of PEP production was demonstrated by Western blots. The culture supernatant of the transformants showed no detectable acid proteinase activity, suggesting that there is only one acid proteinase secreted by the fungus. The wild-type strain and the PEP-deficient mutants invaded tissues to a similar extent and produced comparable mortality in guinea pigs. As PEP represents a third secretory proteinase of A. fumigatus and the other two proteinases also did not show significant influence on fungal invasiveness, it is probable that secreted proteinases do not contribute decisively to tissue invasion in the pathogenesis of systemic aspergillosis. However, immunofluorescence on A. fumigatus colonies using polyclonal antibodies to PEP showed a similar pattern for the wild-type and for the mutants, with a bright fluorescence on young conidiophores, on submerged mycelium and on the tips of growing aerial mycelium. Conidia and mature aerial hyphae were not fluorescent. This pattern could reflect the existence of another crossreacting aspartic proteinase (PEP2) which was found to be sensitive to pepstatin but tightly linked to the fungal cell wall.
Influence of polarization scattering on polarization-assisted OSNR monitoring in dense WDM systems with NZ-DSF and Raman amplification (2005)

We show experimentally that the inter-channel XPM induced polarization scattering can cause large errors for polarization-assisted OSNR monitoring techniques in a dense WDM system with NZ-DSF, Raman amplification and RZ modulation signals.