gebhart/patrepeval huggingface dataset:
Molecular Flexibility as a Factor Affecting the Surface Ordering of Organic Adsorbates on Metal Substrates (2006)

The effect of molecular flexibility on the surface ordering of complex organic adsorbates is explored, using alpha,omega-dihexylquaterthiophene (DH4T) and mixed DH4T|tetracene phases on Ag(111) as model systems. The structure of DH4T/Ag(111) interfaces is determined by the flexibility of the hexyl chains at either end of the quaterthiophene backbone: Above 273 K, DH4T forms a nematic liquid crystalline phase with a director close to the [112] direction of the silver substrate. At 273 K, a reversible phase transition to a long-range ordered, point-on-line coincident phase is observed. However, this ordered state is still affected substantially by the flexible nature of DH4T, which materializes in a large number of local structural defects. If traces of DH4T are coevaporated with tetracene, inclusions of a 1:1 stoichiometric DH4T|tetracene phase are found in a tetracene/Ag(111) matrix (alpha-phase). In this mixed phase, the two surface enantiomers of pro-chiral DH4T on one hand and tetracene on the other form a complex stripe structure. The mixed phase shows a higher degree of order than present at the pure DH4T/Ag(111) interface, which also lacks chiral organization. The addition of tetracene molecules as structural templates stabilizes certain conformations of DH4T and thus, by balancing its structural flexibility, allows the surface-induced chirality of DH4T to become a decisive factor in determining the structure of the mixed phase.
Evaluating NLP features for automatic prediction of language impairment using child speech transcripts (2012)

Language impairment (LI) in children is pervasive in all walks of life. Automatic prediction of LI is useful as a first pass for speech language pathologists in identifying prospective children with LI. Previous work in the automatic prediction of LI has explored various features, mostly shallow and surface level features. In this paper, we evaluate deeper Natural Language Processing (NLP) features such as syntactic, semantic and entity grid model features, along with narrative structure and quality features in the prediction of LI using child language transcripts. Our experiments show that narrative structure and quality features along with a combination of other features are helpful in the prediction of LI in storytelling narratives.
Targeting biological sensing with commercial SERS substrates (2012)

There is an increasing need for rapid and accurate detection, identification, and quantification of chemical, biological, and energetic hazards in many fields of interest. To meet these challenges, researchers are combining spectroscopy with nanoscale platforms to create technologies that offer viable and novel solutions for today's sensing needs. One technology that has gained increasing popularity to meet these needs is surface enhanced Raman scattering (SERS). For ideal SERS sensing, commercially available uniform and reproducible nanoscale surface demonstrating high sensitivity are desirable. If these surfaces can be modified for the selective sensing of hazard materials, an ideal sensor platform for dynamic in field measurements can be imagined. In this proceedings paper, preliminary efforts towards the characterization and application of commercially available next generation Klarite substrates will be demonstrated and efforts towards selective sensing will be discussed.
Search for Higgs boson decays into a pair of light bosons in the bbμμ final state in pp collision at s=13TeV with the ATLAS detector (2018)

A search for decays of the Higgs boson into a pair of new spin-zero particles, H aa, where the a-bosons decay into a b-quark pair and a muon pair, is presented. The search uses 36.1 fb -1 of proton-proton collision data at s = 13 TeV recorded by the ATLAS experiment at the LHC in 2015 and 2016. No significant deviation from the Standard Model prediction is observed. Upper limits at 95% confidence level are placed on the branching ratio ( H / SM ) B(H aa bb), ranging from 1.2 10 -4 to 8.4 10 -4
Massive Machine-Type Communication Pilot-Hopping Sequence Detection Architectures Based on Non-Negative Least Squares for Grant-Free Random Access (2021)

User activity detection in grant-free random access massive machine type communication (mMTC) using pilot-hopping sequences can be formulated as solving a non-negative least squares (NNLS) problem. In this work, two architectures using different algorithms to solve the NNLS problem is proposed. The algorithms are implemented using a fully parallel approach and fixed-point arithmetic, leading to high detection rates and low power consumption. The first algorithm, fast projected gradients, converges faster to the optimal value. The second algorithm, multiplicative updates, is partially implemented in the logarithmic domain, and provides a smaller chip area and lower power consumption. For a detection rate of about one million detections per second, the chip area for the fast algorithm is about 0.7 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> compared to about 0.5 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> for the multiplicative algorithm when implemented in a 28 nm FD-SOI standard cell process at 1 V power supply voltage. The energy consumption is about 300 nJ/detection for the fast projected gradient algorithm using 256 iterations, leading to a convergence close to the theoretical. With 128 iterations, about 250 nJ/detection is required, with a detection performance on par with 192 iterations of the multiplicative algorithm for which about 100 nJ/detection is required.
Implantation of the Automatic Implantable Cardioverter Defibrillator (1988)

Since February 1980 the automatic implantable cardioverter defibrillator has been implanted in over 1,500 patients. Sudden death rates have been reduced to 2%-4% annually. This report reviews the implantation techniques, their indications, and our clinical experience in 200 patients.
MHz-rate white light generation using a novel positivedispersion cavity-dumped Ti:sapphire laser (2006)

We obtain 0.45 μJ from a cavity-dumped Ti: sapphire oscillator stably operating in the positive-dispersion regime. The pulse can be compressed to 60-fs using a prism pair, and can generate white light continuum through self-filamentation.
Prognostic implications of abnormalities of chromosome 13 and the presence of multiple cytogenetic high-risk abnormalities in newly diagnosed multiple myeloma (2017)

Fluorescence in situ hybridization evaluation is essential for initial risk stratification in multiple myeloma. While the presence of specific cytogenetic high-risk abnormalities (HRA) is known to confer a poor prognosis, less is known about the cumulative effect of multiple HRA. We studied 1181 patients with newly diagnosed multiple myeloma who received novel agents as first-line therapy. High-risk abnormalities were defined as t(4;14), t(14;16), t(14;20) and del(17p). There were 884 patients (75%) without any HRA and 297 patients (25%) with HRA, including 262 (22%) with one HRA and 35 (3%) with two HRA. The presence of one HRA (versus zero, hazard ratio (HR) 1.65, 95% confidence interval (CI) 1.32-2.05, p<0.001) and the presence of two HRA (versus zero, HR 3.15, 95% CI 2.00-4.96, p<0.001) were of prognostic significance after adjusting for other prognostic factors. Abnormalities of chromosome 13 were of prognostic significance independent of the established HRA: Monosomy 13 (HR 1.27, 95% CI 1.04-1.56, P=0.022) and del(13q) (HR 0.48, 95% CI 0.28-0.81, P=0.006) with opposite effects. Patients with HRA experienced worse overall survival suggesting a cumulative adverse effect of multiple HRA. Abnormalities of chromosome 13 were of prognostic significance after adjusting for other prognostic factors.
Phase II, double-blind, randomized study of salvage radiation therapy (SRT) plus enzalutamide or placebo for high-risk PSA-recurrent prostate cancer after radical prostatectomy: The SALV-ENZA Trial. (2022)

5012 Background: We sought to investigate whether enzalutamide (ENZA) treatment, without androgen deprivation therapy, increases freedom-from-PSA-progression (FFPP) when combined with salvage radiation therapy (SRT) in men with recurrent prostate cancer post-radical prostatectomy (RP). Methods: Men with biochemically recurrent prostate cancer after RP were enrolled into a randomized, double-blind, phase II, placebo-controlled, multicenter study of SRT + placebo vs SRT + ENZA. The randomization (1:1) was stratified by center, surgical margin status (R0 vs R1), PSA prior to salvage treatment (PSA ≥0.5 vs &lt; 0.5 ng/mL), and pathologic Gleason sum (7 vs 8-10) using a minimization algorithm. Following randomization, patients received either placebo or ENZA 160 mg PO once daily for 6 months. Following 2 months of study drug therapy, external beam radiotherapy to 66.6-70.2 Gy was administered to the prostate bed (no pelvic nodes). The primary endpoint was FFPP. The trial design was powered for a HR 0.44 FFPP benefit with intended enrollment of 96 subjects and was closed as planned to enrollment on March 2020 short of that goal. Secondary endpoints were time to local recurrence (LR) within the radiation field, metastasis‐free survival (MFS), and safety as determined by frequency and severity of adverse events (AEs). Results: A total of 86 patients were randomized with a median follow-up of 34 (range 0-52) months. The median pre-SRT PSA was 0.3 (range 0.06-4.6) ng/mL, 56/86 (65%) had extra-prostatic disease (pT3), 39/86 (45%) had Gleason Grade Group 4 or higher and 43/96 (50%) had positive surgical margins. Trial arms were well balanced. FFPP was significantly improved with ENZA vs placebo, for example 2-year FFPP was 87.1% vs 68.1%, respectively, and overall with a HR 0.40 [95% confidence interval (CI), 0.17-0.92, p-value = 0.026]. Subgroup analyses demonstrate differential benefit (p-value of interaction = 0.031) of ENZA in men with pT3 (HR 0.19, 95%CI 0.05-0.67) vs pT2 disease (HR 1.29, 95%CI 0.34-4.81). There were insufficient secondary endpoint events for analysis. The most common adverse events were grade 1-2 fatigue (13% ENZA vs 9%) and urinary frequency (6 % ENZA vs 8%). Conclusions: SRT plus ENZA monotherapy for men with PSA recurrent high-risk prostate cancer following RP is safe and delays PSA progression relative to SRT alone. The impact of ENZA on distant metastasis or survival is unknown at this time. Additional molecular biomarker analyses are being pursued. Clinical trial information: NCT02203695.
Sex-Related Effect on Gene Expression in the Mouse Meibomian Gland (2006)

These findings support our hypothesis that sex-related differences exist in gene expression of the meibomian gland.
DOI-PET image reconstruction with accurate system model reducing redundancy of imaging system (2004)

A high-performance PET scanner, which measures depth-of-interaction (DOI) information, is in progress at the National Institute of Radiological Sciences in Japan. Image reconstruction methods with accurate modeling of the system response functions have been successfully used to improve PET image quality. It is, however, difficult to apply these methods to the DOI-PET system because the dimension of DOI-PET data increases in proportion to the square of the number of DOI layers. In this paper, we propose a compressed imaging system model for DOI-PET image reconstruction, in order to reduce computational cost with keeping image quality. The basic idea of the proposed method is that the DOI-PET system is highly redundant. First, DOI-PET data are transformed into compact data so that data bins of which sensitivity functions highly correlate are combined. Then image reconstruction methods based on accurate system modeling, such as the maximum likelihood expectation maximization (NIL-EM), are applied. The proposed method was applied to simulated data for the DOI-PET operated in 2D mode. Then the trade-off between the background noise and the spatial resolution was investigated. Numerical simulation results show that the proposed method followed by ML-EM reduces computational cost effectively with keeping the advantages of the accurate system modeling and DOI information.
A Data-Driven Pivot-Point-Based Time-Series Feeder Load Disaggregation Method (2020)

The load profile at a feeder-head is usually known to utility engineers while the nodal load profiles are not. However, the nodal load profiles are increasingly important for conducting time-series analysis in distribution systems. Therefore, in this paper, we present a pivot-point based, two-stage feeder load disaggregation algorithm using smart meter data. The two stages are load profile selection (LPS) and load profile allocation (LPA). In the LPS stage, a random load profile selection process is first executed to meet the load diversity requirement. Then, a few pairs of pivot points are selected as the matching targets. After that, a matching algorithm will run repetitively to select one load profile at a time for matching the reference load profile at the pivot points. In the LPA stage, the LPS selected load profiles are allocated to each load node on the feeder considering distribution transformer loading limits, load composition, and square-footage. The proposed method is validated using actual data collected in a North Carolina service area. Simulation results show that the proposed method can generate a unique load shape for each load node while match the shape of their aggregated profile with the actual feeder head load profile.
Supplementary Table S6 from The Pharmacokinetic–Pharmacodynamic (PKPD) Relationships of AZD3229, a Novel and Selective Inhibitor of KIT, in a Range of Mouse Xenograft Models of GIST (2023)

&lt;p&gt;Pooled mouse PK model parameters for AZD3229&lt;/p&gt;
ChemInform Abstract: Aminoarenethiolato—Copper(I) as (Pre‐)Catalyst for the Synthesis of Diaryl Ethers from Aryl Bromides and Sequential C—O/C—S and C—N/C—S Cross Coupling Reactions. (2011)

Abstract The arylation of phenols with aryl bromides is smoothly catalyzed by an aminoarenethiolato—Cu(I) complex (2.5mol%) to give phenol ethers (III) and (V) in moderate to good yields.
Processing issues for thin film CdTe/CdS solar cells (1997)

Processing options addressing critical issues associated with fabrication of high efficiency thin film CdTe/CdS solar cells are presented. Particular focus is given to methods for: minimizing CdS loss during CdCl2 heat treatment; obtaining high open circuit voltages; obtaining spatially uniform properties; and forming ohmic contacts. Data is presented for cells deposited by physical vapor deposition (PVD) which demonstrates that CdS loss can be overcome by use of CdTe1−xSx absorber layers and by controlling the delivery of CdCl2 vapor species during heat treatment. The CdCl2 vapor treatments are shown to produce residue-free surfaces and uniform film properties which leads to uniform cell performance. State of the art open circuit voltages (>850 mV) are obtained with PVD cells by performing a short high temperature anneal prior to CdCl2 treatment. Low resistance contacts using diffused Cu doping followed by surface etching are demonstrated on CdTe/CdS thin films deposited by five methods.
Letter to Cancer Center Directors: Progress in Quantitative Imaging As a Means to Predict and/or Measure Tumor Response in Cancer Therapy Trials (2014)

The purpose of this correspondence is to alertcancer center directors and their associated biomedical imaging pro-grams about recent progress in quantitative imaging as a means topredictand/ormeasuretumorresponsetodrugorradiationtherapy,adevelopmentthatiscriticalto(forexample)implementingadaptivetherapy trial designs. There have been a number of initiatives in thisarea by the National Cancer Institute (NCI) and the RadiologicalSociety of North America (eg, the Quantitative Imaging BiomarkersAlliance
Optimization of 1.5D arrays (2002)

1.5D arrays have been proposed to improve elevational beam focus over 1D arrays (D.G. Wildes et al., 1997). The design of 1.5D arrays is complicated by the potential for large elevational row dimensions which results in many possible design tradeoffs (P. Tournois et al., 1995). Here, the authors presents method for optimizing 1.5D arrays. The method is a global search by simulated annealing over the array parameters of row sizes, lens/electronic focus, and apodization in order to optimize a given beam criterion. The authors illustrate the method by showing how to minimize the peak sidelobe level by searching over row sizes and apodization in the farfield, narrowband case. The more realistic nearfield, broadband case is demonstrated by showing an example of 1.5D array optimization using this method.
Structure–activity relationships of antibacterial peptides (2023)

Antimicrobial peptides play a crucial role in innate immunity, whose components are mainly peptide-based molecules with antibacterial properties. Indeed, the exploration of the immune system over the past 40 years has revealed a number of natural peptides playing a pivotal role in the defence mechanisms of vertebrates and invertebrates, including amphibians, insects, and mammalians. This review provides a discussion regarding the antibacterial mechanisms of peptide-based agents and their structure-activity relationships (SARs) with the aim of describing a topic that is not yet fully explored. Some growing evidence suggests that innate immunity should be strongly considered for the development of novel antibiotic peptide-based libraries. Also, due to the constantly rising concern of antibiotic resistance, the development of new antibiotic drugs is becoming a priority of global importance. Hence, the study and the understanding of defence phenomena occurring in the immune system may inspire the development of novel antibiotic compound libraries and set the stage to overcome drug-resistant pathogens. Here, we provide an overview of the importance of peptide-based antibacterial sources, focusing on accurately selected molecular structures, their SARs including recently introduced modifications, their latest biotechnology applications, and their potential against multi-drug resistant pathogens. Last, we provide cues to describe how antibacterial peptides show a better scope of action selectivity than several anti-infective agents, which are characterized by non-selective activities and non-targeted actions toward pathogens.
4386 Age-related Changes in the Functional Connectivity within the Default Mode Network (2020)

OBJECTIVES/GOALS: To evaluate whether the default mode network experiences age-related changes in functional connectivity and to identify these patterns of progression across seven decades of life. The overall goal is to evaluate whether quantifying these functional changes can serve as potential neurobiomarkers of aging for further quantitative genetic analyses. METHODS/STUDY POPULATION: Scans were performed at the RII on a 3T Siemens Trio scanner with an 8-channel head coil. Whole-brain, rsfMR imaging was performed using a gradient-echo EPI sequence sensitive to the BOLD effect (TE/TR = 30/3000 ms; flip angle = 90°; isotropic 1.72 mm 2 ). Subjects were instructed to lie in dimmed light with their eyes open and try not to fall asleep. Image analysis was performed with FMRIB’s Software Library tools ( www.fmrib.ox.ac.uk/fsl ). Preprocessing of resting state data includes motion correction, brain extraction, spatial smoothing, and high-pass temporal filtering. Time series data was extracted from 9 DMN ROIs using FSL’s Featquery tool with 6mm radius spherical ROI masks created in Mango. After extraction, DMN connectivity was assess using structural equation modeling implemented in Amos 22.0 (IBM, Inc.). RESULTS/ANTICIPATED RESULTS: The exploratory SEM (eSEM) default mode network (DMN) model used consists of 9 regions of interest and 13 functional connectivity paths. The eSEM DMN model exhibited exceptional model fit to a primary resting state data set of 1169 subjects from the Genetics of Brain Structure project (1R01MH078111-01, David Glahn PI) with an RMSEA of 0.037. This model also had excellent model fit in 7 cohorts that were grouped by decade age (10s – RMSEA: 0.058, 20s – 0.051, 30s – 0.045, 40s – 0.048, 50s – 0.043, 60s – 0.035, 70s – 0.037). Analysis of the decade group-wise path coefficients identified 7 of the 13 paths (pC -&gt; LMTG, pC -&gt; PCC, PCC -&gt; MPFG, PCC -&gt; vACC, MPFG -&gt; vACC, LIPL -&gt; RIPL, LMTG -&gt; RMTG) significantly negatively correlated with age-related changes. As early as the 1 st decade of life, the functional connectivity within the DMN decreases. DISCUSSION/SIGNIFICANCE OF IMPACT: The DMN experiences progressive age-related decreases in connectivity, beginning in the first decade of life. Our results suggest that DMN path coefficients can serve as biomarkers of cognitive aging, which can then be used as quantitative traits for genetic analyses to identify genes associated with normal aging and age-related cognitive diseases.
Method of forming a carbon fiber layup (2023)

A manufactured component, method and apparatus for advanced manufacturing that includes a polymeric working material formed into a mandrel with a carbon fiber overlay formed in a continuation of the process. The mandrel build and the carbon fiber overlay of the component preferably take place at atmospheric temperatures.
Experimental Characterization of Adsorption and Transport Properties for Advanced Thermo-Adsorptive Batteries (2013)

Thermal energy storage has received significant interest for delivering both heating and cooling in electric vehicles, to minimize the use of the on-board electric batteries for heating, ventilation and air-conditioning (HVAC). An advanced thermo-adsorptive battery (ATB) is currently being developed, to provide both heating and cooling for an electric vehicle. We present a detailed thermophysical and physicochemical characterization of adsorptive materials for the development of the ATB. We discuss the feasibility of using contemporary adsorptive materials, such as zeolite 13X, by carrying out a detailed experimental characterization. In this study, zeolite 13X is combined with aluminum hydroxide (Al(OH)3) as a binder to improve the thermal conductivity. We also investigate the effect of densification on the overall transport characteristics of the adsorbent-binder composite material. Accordingly, the effective thermal conductivity, surface area, adsorption capacity and surface chemistry were characterized using the laser flash technique, surface sorption analyzer, thermogravimetric analyzer, and x-ray scattering technique. Thermal conductivity predictions of both zeolite 13X and its combination with the binder were made with existing conductivity models. Thermal conductivity in excess of 0.4 W/mK was achieved with the addition of 6.4 wt.% of Al(OH)3. However, a 10.6 % decrease in adsorption capacity was also observed. The experimental characterization presented herein is an essential step towards the development of the proposed ATB for next-generation electric vehicles.