gebhart/patrepeval huggingface dataset:
Adenoviral Transgene Ubiquitination Enhances Mouse Immunization and Class I Presentation by Human Dendritic Cells (2003)

Therapeutic vaccination aims at a strong stimulation of antigen-specific CD8(+) T-cells, so that they differentiate into effectors active in vivo against antigenic targets. Two adenovirus vectors (Ad) encoding two HLA-A*0201-restricted HIV epitope sequences (pol 476 and pol 589) were constructed. The Ad differ by the presence or absence of a ubiquitin monomer sequence (AdUb(+) and AdUb(-)). The effect of transgene product ubiquitination was analyzed on (1) in vivo, the immunization of Ad vaccinated HLA-A*0201 humanized HHD mice and (2) in vitro, the presentation of the transgene encoded peptides by transduced human dendritic cells (DC). In vivo, we found that immunization of humanized HHD mice with AdUb(+) elicited a transgene product-specific interferon (INF)-gamma CD8(+) T-cell response detectable by enzyme-linked immunospot (ELISPOT), whereas the AdUb(-) construction did not. Antigen-specific cytotoxic T lymphocytes (CTL) were also generated in HHD mice immunized with AdUb(+) and not with AdUb(-). In vitro, using human AdUb(+)-transduced DC, a sizeable expansion of pol 476 and pol 589 tetramer positive CD8(+) T cells as well as CD8(+) CTL were obtained in healthy donors. Compared to AdUb(-)-transduced DC, AdUb(+)-transduced DC triggered a higher number of pol 476-specific IFN-gamma-secreting CD8(+) T cells. In agreement, AdUb(+) transduced DC, used as target in a (51)Cr-release assay, were more efficiently lysed by peptide-specific CTL than AdUb(-)-transduced DC. In conclusion, the addition of an ubiquitin sequence to the adenoviral transgene, used as an antigen source, resulted in both in vivo enhanced CD8(+) T-cell immunogenicity in HHD mice and in vitro increased HLA class I-restricted presentation of encoded peptides by human DC.
High Familial Correlation in Methylphenidate Response and Side Effect Profile (2015)

Family history of response to methylphenidate should be taken into account when treating ADHD.
Pre-targeting method improves MT1-MMP imaging for evaluating tumor malignancy (2008)

561 Objectives: Since membrane type-1 matrix metalloproteinase (MT1-MMP) is exclusively expressed in tumors and closely related to metastasis and invasion, MT1-MMP should be a potential target of radiotracer for evaluating the malignancy. In this study, we planned to develop a novel MT1-MMP imaging agent based on anti-MT1-MMP monoclonal IgG (MT1-MMP mAb) combined with pre-targeting method using streptavidin-biotin (SAv-Bt) system for evaluating tumor malignancy. Methods: MT1-MMP mAb was biotinylated with NHS-LC-biotin followed by flow cytometry analysis to evaluate the immunoreactivity. SAv was radioiodinated by introducing Bt derivative, 125I-IBB. First, MT1-MMP mAb-Bt was administered to mice bearing FM3A (breast tumor), and 48 h later, 125I-IBB-SAv was injected and the biodistribution was examined for 24h. As a comparison, MT1-MMP mAb was radiolabeled with 99mTc using HYNIC as a bifunctional chelating agent followed by the biodistribution study for 24 h. Results: 99mTc-MT1-MMP mAb accumulated in the tumor in a time dependent manner (15.0%ID/g at 24 h). However, the clearance from the blood was slow, resulting in low tumor to blood (T/B) ratios throughout the study. On the other hand, in the pre-targeting study, 125I-IBB-SAv accumulated in the tumor (7.2%ID/g at 24 h) with a rapid clearance from the blood (0.8%ID/g at 24 h). Thus, the T/B ratios were significantly higher for the pre-targeting study than those for 99mTc-MT1-MMP mAb in all time points examined (99mTc-MT1-MMP mAb; 1.0, Pre-targeting; 9.0 at 24h), demonstrating the effective improvement of T/B ratios by the pre-targeting method. Conclusions: Higher T/B ratios were achieved early after the injection of 125I-IBB-SAv by the pre-targeting method, indicating that pre-targeting method using SAv-Bt system improves MT1-MMP imaging for evaluating tumor malignancy.
Adoptive Immunotherapy with Autologous CD3/CD28-Costimulated T-Cells After Fludarabine-Based Chemotherapy in Patients with Chronic Lymphocytic Leukemia (2011)

Abstract Abstract 2855 Background: Fludarabine-based therapies prolong survival of patients (pts) with chronic lymphocytic leukemia (CLL), but deplete CD4 T-cells causing immunosuppression which increases the risk of infection and may limit control of minimal residual disease by the immune system. Adoptive immunotherapy using autologous CD3/CD28-costimulated T-cells expanded ex vivo (ACTC) enhances immune reconstitution after fludarabine-based therapy of lymphoma (Schuster et al Blood abstract 2007). Methods: We conducted a multicenter phase I/II trial of ACTC following fludarabine-based therapy of CLL. After leukapheresis, pts received fludarabine-based therapy. 8 – 12 weeks after last chemotherapy, responding pts (CR, PR) received a single dose of ACTC prepared from autologous T-cells collected before chemotherapy. Results: 34 pts are enrolled (median age 61; male 24, female 10). To date, 19 pts are evaluable for studies of immune reconstitution at ≥90 days after ACTC infusion. Prior to ACTC, 11 pts received FCR and 1 pt FR as first therapy, while 5 pts received FCR and 2 pts FCR + bevacizumab for previously treated CLL. Median ACTC dose was 6.8E+9 CD3 cells (range: 4.88E+07 −1.05E+10). After chemotherapy, before ACTC infusion (day 0), median CD4 and CD8 counts for all evaluable pts were 119 (range: 12–573) and 80 (range: 4–682), respectively; 30 days after ACTC (day 30), median CD4 and CD8 counts were 373 (range 141–846) and 208 (range: 25–879), respectively. The increases in CD4 and CD8 counts between days 0 and 30 were statistically significant (p = 0.0003 for both CD4 and CD8 cell counts) and remained significantly increased between days 0 and 90 for both CD4 (p = 0.0004) and CD8 (p = 0.005) cell counts. ACTC dose was not associated with change in CD4 or CD8 count. Pts in complete remission (CR) at the time of ACTC infusion had significantly higher CD4 counts on day 30 than pts in partial remission (PR) [median day 30 CD4 count for CR = 464 (range: 194–846) vs PR = 190 (range: 141–395), p = 0.02], but not on days 0 and 90. There was no difference in CD8 counts for pts in CR or PR on days 0, 30, and 90. There were no SAEs; 1 pt developed AIHA after ACTC. For 19 evaluable pts at a median follow-up of 12 months (range: 3.2–22), PFS from ACTC infusion is 80%. Conclusions: ACTC infusion results in a dose-independent acceleration of CD4 and CD8 T-cell recovery after fludarabine-based chemotherapy compared to historical controls. CD4 counts on day 30 are significantly higher for pts in CR at the time of ACTC infusion. Further studies of immune reconstitution and function following ACTC are in progress. Disclosures: No relevant conflicts of interest to declare.
Amino Acids and Peptides. XXIX. Synthesis and Antimetastatic Effects of Peptides and Peptide-Poly(Ethylene Glycol) Hybrids Related to the Core Sequence of the Type III Connecting Segment Domain of Fibronectin. (1996)

Peptides (H-Glu-Ile-Leu-Asp-Val-NH2, H-Glu-Ile-Leu-Asp-Val-Pro-Ser-Thr-NH2, H-Arg-Glu-Asp-Val-NH2) and their poly(ethylene glycol) (PEG) hybrids related to the core sequence of the type III connecting segment domain of fibronectin A chain were prepared by the solution method or the solid phase method. Their inhibitory effects on the adhesion and migration of B16-BL6 melanoma cells to fibronectin were assessed in vitro, and their therapeutic potency against tumor metastasis were also examined. Anti-adhesive and anti-migrative effects of the synthetic fibronectin-related peptids were superior to those of their PEG hybrids, so we found that the in vitro bioactivity of peptides decreased by PEGylation. In the in vivo assay, we found that the synthetic peptides containing Glu-Ile-Leu-Asp-Val and Arg-Glu-Asp-Val sequences exhibited an inhibitory effect on the experimental metastasis of B16-BL6 melanoma. Of the synthetic peptides, H-Glu-Ile-Leu-Asp-Val-NH2 exhibited the most potent inhibitory effect. Hybrid formation of Arg-Glu-Asp-Val with poly(ethylene glycol) resulted in potentiation of the inhibitory effect of the parent peptides. A mixture composed of PEG hybrids of Glu-Ile-Leu-Asp-Val, Arg-Glu-Asp-Val and Tyr-Ile-Gly-Ser-Arg dramatically inhibited tumor metastasis.
Organic‐Inorganic Hybrid Materials: Multi‐Functional Solids for Multi‐Step Reaction Processes (2017)

The design of new hybrid materials with tailored properties at the nano-, meso-, and macro-scale, with the use of structural functional nanobuilding units, is carried out to obtain specific multi-functional materials. Organization into controlled 1D, 2D, and 3D architectures with selected functionalities is key for developing advanced catalysts, but this is hardly accomplished using conventional synthesis procedures. The use of pre-formed nanostructures, derived either from known materials or made with specific innovative synthetic methodologies, has enormous potential in the generation of multi-site catalytic materials for one-pot processes. The present concept article introduces a new archetype wherein self-assembled nanostructured builder units are the base for the design of multifunctional catalysts, which combine catalytic efficiency with fast reactant and product diffusion. The article addresses a new generation of versatile hybrid organic-inorganic multi-site catalytic materials for their use in the production of (chiral) high-added-value products within the scope of chemicals and fine chemicals production. The use of those multi-reactive solids for more nanotechnological applications, such as sensors, due to the inclusion of electron donor-acceptor structural arrays is also considered, together with the adsorption-desorption capacities due to the combination of hydrophobic and hydrophilic sub-domains. The innovative structured hybrid materials for multipurpose processes here considered, can allow the development of multi-stage one-pot reactions with industrial applications, using the materials as one nanoreactor systems, favoring more sustainable production pathways with economic, environmental and energetic advantages.
Enantioselective catalysis in water: Mukaiyama-aldol condensation promoted by copper complexes of bisoxazolines supported on poly(ethylene glycol) (2004)

(S)-3-Phenyl-2-aminopropanol-derived bisoxazolines supported on a modified poly(ethylene glycol) were shown to be effective Cu(II) ligands for the enantioselective Mukaiyama-aldol condensation of various aldehydes with the trimethylsilyl keteneacetal of methyl isobutyrate carried out in water. Enantiomeric excesses comparable to those obtained with nonsupported ligands in the same solvent were observed. The solubility of the ligand in water, ensured by the presence of the polymeric support, allowed a very convenient catalyst-recycling procedure involving simple removal of the reaction product by extraction in Et(2)O and addition of fresh reagents to the catalyst-containing aqueous solution. The chemical and stereochemical efficiency of the catalyst was only marginally eroded over its use in three reaction cycles.
Teach industrial robots peg-hole-insertion by human demonstration (2016)

Programming robotic assembly tasks usually requires delicate force tuning. In contrast, human may accomplish assembly tasks with much less time and fewer trials. It will be a great benefit if robots can learn the human inherent skill of force control and apply it autonomously. Recent works on Learning from Demonstration (LfD) have shown the possibility to teach robots by human demonstration. The basic idea is to collect the force and corrective velocity that human applies during assembly, and then use them to regress a proper gain for the robot admittance controller. However, many of the LfD methods are tested on collaborative robots with compliant joints and relatively large assembly clearance. For industrial robots, the non-backdrivable mechanism and strict tolerance requirement make the assembly tasks more challenging. This paper modifies the original LfD to be suitable for industrial robots. A new demonstration tool is designed to acquire the human demonstration data. The force control gains are learned by Gaussian Mixture Regression (GMR) and the closed-loop stability is analysed. A series of peg-hole-insertion experiments with H7h7 tolerance on a FANUC manipulator validate the performance of the proposed learning method.
ChemInform Abstract: Water‐Soluble Antitumor Agents. Part 1. Synthesis and Biological Activity of 6‐S‐Aminoacyloxymethyl Mercaptopurine Derivatives. (1996)

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.
The Sense of Ensemble: a Machine Learning Approach to Expressive Performance Modelling in String Quartets (2014)

Computational approaches for modelling expressive music performance have produced systems that emulate music expression, but few steps have been taken in the domain of ensemble performance. In this paper, we propose a novel method for building computational models of ensemble expressive performance and show how this method can be applied for deriving new insights about collaboration among musicians. In order to address the problem of inter-dependence among musicians we propose the introduction of inter-voice contextual attributes. We evaluate the method on data extracted from multi-modal recordings of string quartet performances in two different conditions: solo and ensemble. We used machine-learning algorithms to produce computational models for predicting intensity, timing deviations, vibrato extent, and bowing speed of each note. As a result, the introduced inter-voice contextual attributes generally improved the prediction of the expressive parameters. Furthermore, results on attribute selection show that the models trained on ensemble recordings took more advantage of inter-voice contextual attributes than those trained on solo recordings.
Optimized ACE2 decoys neutralize antibody-resistant SARS-CoV-2 variants through functional receptor mimicry and treat infection in vivo (2022)

As severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) evolves to escape natural antibodies, it also loses sensitivity to therapeutic antibody drugs. By contrast, evolution selects for binding to ACE2, the cell-surface receptor required for SARS-CoV-2 infection. Consistent with this, we find that an ACE2 decoy neutralizes antibody-resistant variants, including Omicron, with no loss in potency. To identify design features necessary for in vivo activity, we compare several enzymatically inactive, Fc effector-silenced ACE2-Fc decoys. Inclusion of the ACE2 collectrin-like domain not only improves affinity for the S protein but also unexpectedly extends serum half-life and is necessary to reduce disease severity and viral titer in Syrian hamsters. Fc effector function is not required. The activity of ACE2 decoy receptors is due, in part, to their ability to trigger an irreversible structural change in the viral S protein. Our studies provide a new understanding of how ACE2 decoys function and support their development as therapeutics to treat ACE2-dependent coronaviruses.
Half-quadratic regularization of time-frequency AR analysis for recovery of abrupt spectral discontinuities & their detection by a recursive Siegel metric based on information geometry (1998)

We have proposed in [1][2] a Thikonov approach of Burg algorithm regularization based on a local quadratic potential function which yields a smoothness constraint with a long AR model. We propose to extend regularization approach in time-frequency domain with a temporal smoothness constraint. First, we use an half-quadratic regularization that avoids classical oversmoothing effect of quadratic potential function and preserves abrupt spectral changes and discontinuities. Secondly, to improve time-frequency dissimilarity detection, we propose a new recursive Siegel metric for AR models based on information differential geometry introduced by Rao through Fisher information matrix and Shannon entropy functional.
Three New Cycloartane Triterpenoids fromAstragalus bicuspis (2011)

Three new cycloartane triterpenoids have been isolated from Astragalus bicUSPIS Fisch. Their structures were elucidated as 23(R),24(S),25( R),26(S)-16 β/23,23/26,24/25-triepoxy-26-hydroxy-9,19-cyclolanosta-3,6-dione (1), 6 α,23,24,25-tetraol-16 β-acetoxy-23(R),24(R)-9,19-cyclanosta-3-one (2), and 6 α,23,24,25-tetraol-16 β-acetoxy-23(R),24(R)-9,19-cyclolanosta-3 β- O-xyloside (3), based on their spectroscopic analysis. All cycloartane tritepenoids exhibited weak cytotoxicities against 3T3 fibroblast cells as compared to the standard drug cycloheximide. Compounds 3 and 4 were also tested for their antileishmanial potential, and a weak activity was observed against promastigotes of Leishmania major.
Protection Framework for Low Voltage DC Grids (2021)

This paper presents a protection framework for low voltage dc grids, which segments these grids into zones and tiers according to their fault current potential and provided protection. Furthermore, the technology and applications of different protection devices are examined. It is demonstrated that the utilization of fast fault interruption and fault limiting inductors are vital for the protection of low voltage dc grids. Moreover, a design of a solid-state circuit breaker is presented, and this devices is experimentally verified. The experimental results showed that the total time for the detection and interruption of faults can be lower than 1 μs with solid-state protection devices.
A cancelation method for ARMA identification with overestimated orders (1997)

Identification of an unknown ARMA model consists in estimating its coefficients and its orders. Several algorithms arc often used to solve this problem. The ELS algorithm need to satisfy the SPR condition to converge. The RML algorithm has no known Lyapounov function to prove that it converges. The averaging method apply to the RML algorithm gives an algorithm which minimizes a cost function based on the prediction error. In the case of overestimated orders, this function has several global minima. We propose a particular version of this algorithm, which is stable and converges to one of these global minima. We design also a method which gives the correct orders and the coefficients estimated.
A Facile Asymmetric Synthesis of Either Enantiomer of 2-Substituted Pyrrolidines (2010)

A new and general method for asymmetric synthesis of either enantiomer of 2-substituted pyrrolidines from a single starting material is described. Reductive cyclization of (S(S))-gamma-chloro-N-tert-butanesulfinyl ketimines with LiBHEt(3) in THF at -78 to 23 degrees C afforded (S(S),R)-N-tert-butanesulfinyl-2-substituted pyrrolidines in excellent yields (88-98%) and with high diastereoselectivity (99:1). The diastereoselectivity is controlled effectively by the choice of reducing agent. Thus, the corresponding epimers of (S(S),S)-2-substituted pyrrolidines were synthesized in good yields (87-98%) and with high diastereoslectivity (1:99) by simply switching the reducing agent from LiBHEt(3) to DIBAL-H/LiHMDS. Deprotection of N-tert-butanesulfinyl-2-substituted pyrrolidines using 4 N HCl in dioxane and MeOH gave the corresponding enantiomers of 2-substituted pyrrolidines in quantative yield. This method was found to be effective for a variety of substrates including aromatic, heteroaromatic, and aliphatic substituents. Extension of this methodology to the formation of 2-substituted piperidines is also illustrated. Reductive cyclization of (S(S))-delta-chloro-N-tert-butanesulfinyl ketimine with LiBHEt(3) in THF at -78 to 23 degrees C or DIBAL-H/LiHMDS in toluene at -78 to 0 degrees C afforded the (S(S),R)-N-tert-butanesulfinyl-2-substituted piperidines in excellent yield (98%) and with high diastereoselectivity (99:1) or (S(S),S)-N-tert-butanesulfinyl-2-substituted piperidines in good yield (98%) and with high diastereoselectivity (1:99), respectively.
Dereverberation with Differential Microphone Arrays and the Weighted-Prediction-Error Method (2018)

Reverberation is one of the most detrimental effects on the quality and performance of hands-free speech communication and human-machine interfaces. Among different approaches investigated in the literature, the weighted-prediction-error (WPE) method has exhibited some promising potential for dealing with reverberation. However, the WPE is highly sensitive to additive noise and the presence of even small levels of noise can cause significant performance degradation to WPE. To improve the robustness of this technique, we study in this paper the combination of WPE and differential microphone arrays (DMAs), resulting a DMA-WPE method. Our approach is as follows. A DMA is used to pick up the sound signal of interest in noisy and reverberant environments. The microphone signals are processed with a differential beamformer to suppress noise, interference, and reverberation. The output of the differential beamformer is then used as the reference signal for WPE to further perform dereverberation. Simulation results demonstrate that the DMA-WPE method outperforms WPE significantly in all the studied conditions.
GAN-Based Object Removal in High-Resolution Satellite Images (2023)

Satellite images often contain a significant level of sensitive data compared to ground-view images. That is why satellite images are more likely to be intentionally manipulated to hide specific objects and structures. GAN-based approaches have been employed to create forged images with two major problems: (i) adding a new object to the scene to hide a specific object or region may create unrealistic merging with surrounding areas; and (ii) using masks on color feature images has proven to be unsuccessful in GAN-based object removal. In this paper, we tackle the problem of object removal in high-resolution satellite images given a limited number of training data. Furthermore, we take advantage of conditional GANs (CGANs) to collect perhaps the first GAN-based forged satellite image data set. All forged instances were manipulated via CGANs trained by Canny Feature Images for object removal. As part of our experiments, we demonstrate that distinguishing the collected forged images from authentic (original) images is highly challenging for fake image detector models.
SiC pressure sensor for detection of combustor thermo-acoustic instabilites (2005)

We have utilized a single crystal silicon carbide (SiC) pressure sensor to validate the existence of thermo-acoustic instability at 310 Hz in a combustor test rig operating at 420 /spl deg/C and about 180 psi. The MEMS SiC pressure sensor was packaged by the direct chip attach (DCA) method, which eliminated the wire bonding process and the reliability issues associated with it when exposed to high temperature and high vibration environments. The result obtained by using this un-cooled SiC pressure sensor was in excellent agreement with the result obtained from a water-cooled piezoceramic pressure transducer located in close proximity to the SiC sensor. This result provides further confirmation of the viability of a robust SiC pressure sensor with less complex packaging for application in high temperature and high vibration environments.