gebhart/patrepeval huggingface dataset:
Indirect performance sensing for on-chip analog self-healing via Bayesian model fusion (2013)

On-chip analog self-healing requires low-cost sensors to accurately measure various performance metrics. In this paper we propose a novel approach of indirect performance sensing based upon Bayesian model fusion (BMF) to facilitate inexpensive-yet-accurate on-chip performance measurement. A 25GHz differential Colpitts voltage-controlled oscillator (VCO) designed in a 32nm CMOS SOI process is used to validate the proposed indirect performance sensing and self-healing methodology. Our silicon measurement results demonstrate that the parametric yield of the VCO is improved from 0% to 69.17% for a wafer after the proposed self-healing is applied.
Regional distribution of SK3 mRNA‐containing neurons in the adult and adolescent rat ventral midbrain and their relationship to dopamine‐containing cells (2004)

SK3 small conductance, calcium-activated potassium channels play an important role in regulating the activity of mesencephalic dopamine (DA) neurons. In the present series of experiments, in situ hybridization techniques were used to compare SK3 and tyrosine hydroxylase (TH) mRNA expression throughout the rostrocaudal extent of the ventral midbrain in juvenile and adult rats. SK3 mRNA was found exclusively in areas that also contained large numbers of DA neurons including the substantia nigra (SN), the ventral tegmental area, and related cell groups (VTA-A10). An anteroposterior and mediolateral gradient in SK3 mRNA hybridization was apparent in the VTA-A10 but not in the SN. Younger rats appeared to possess higher levels and less regional variation in TH and SK3 transcripts. These results are consistent with previous studies reporting differential expression of SK3 protein within the midbrain and suggest that variations in SK3 channel distribution could contribute to differences in dopamine-related functions in the rat.
Synthesis and Magnetic Properties of FePt@MnO Nano-heteroparticles (2012)

Monodisperse FePt@MnO nano-heteroparticles with different sizes and morphologies were prepared by a seed-mediated nucleation and growth technique. Both size and morphology of the individual domains could be controlled by adjustment of the synthetic parameters. As a consequence, different particle constructs, including dimers, dumbbell-like particles, and flowerlike particles, could be obtained by changing the polarity of the solvent. The FePt@MnO nano-heteroparticles were thoroughly characterized by high resolution transmission electron microscopy (HR-TEM) and X-ray diffraction (XRD) analyses and superconducting quantum interference device (SQUID) magnetometry. Due to a sufficient lattice match, the MnO nanoparticles (NPs) preferentially grow on the (111) surfaces of the fcc-FePt seeds. Furthermore, the surface spins of the antiferromagnetic MnO domains pin the magnetic moments of the ferromagnetic FePt NPs, which leads to an exchanged biased magnetic hysteresis.
Micro-Drilling of Advanced Electric Boards with a High-Peak Power CO2 laser. (2000)

Micro-hole drilling of advanced printed boards with a CO2 laser is revealed. The applied high-peak power CO2 laser has a pulse duration shorter than 100 μs and a peak power level in the kW-range. Thedesign of the laser system and its implementation into a processing system lead to an industrial laser drilling system which is able to process minimum hole diameters of 50 μm. Some examples of micro-drilling results are described.
Directed neural connectivity changes in robot-assisted gait training: A partial Granger causality analysis (2014)

Now-a-days robotic exoskeletons are often used to help in gait training of stroke patients. However, such robotic systems have so far yielded only mixed results in benefiting the clinical population. Therefore, there is a need to investigate how gait learning and de-learning get characterised in brain signals and thus determine neural substrate to focus attention on, possibly, through an appropriate brain-computer interface (BCI). To this end, this paper reports the analysis of EEG data acquired from six healthy individuals undergoing robot-assisted gait training of a new gait pattern. Time-domain partial Granger causality (PGC) method was applied to estimate directed neural connectivity among relevant brain regions. To validate the results, a power spectral density (PSD) analysis was also performed. Results showed a strong causal interaction between lateral motor cortical areas. A frontoparietal connection was found in all robot-assisted training sessions. Following training, a causal "top-down" cognitive control was evidenced, which may indicate plasticity in the connectivity in the respective brain regions.
Transformation-induced stress at telomeres is counteracted through changes in the telomeric proteome including SAMHD1 (2018)

Telomeres play crucial roles during tumorigenesis, inducing cellular senescence upon telomere shortening and extensive chromosome instability during telomere crisis. However, it has not been investigated if and how cellular transformation and oncogenic stress alter telomeric chromatin composition and function. Here, we transform human fibroblasts by consecutive transduction with vectors expressing hTERT, the SV40 early region, and activated H-RasV12. Pairwise comparisons of the telomeric proteome during different stages of transformation reveal up-regulation of proteins involved in chromatin remodeling, DNA repair, and replication at chromosome ends. Depletion of several of these proteins induces telomere fragility, indicating their roles in replication of telomeric DNA. Depletion of SAMHD1, which has reported roles in DNA resection and homology-directed repair, leads to telomere breakage events in cells deprived of the shelterin component TRF1. Thus, our analysis identifies factors, which accumulate at telomeres during cellular transformation to promote telomere replication and repair, resisting oncogene-borne telomere replication stress.
Nonstationary Gaussian Process Surrogates (2023)

We provide a survey of nonstationary surrogate models which utilize Gaussian processes (GPs) or variations thereof, including nonstationary kernel adaptations, partition and local GPs, and spatial warpings through deep Gaussian processes. We also overview publicly available software implementations and conclude with a bake-off involving an 8-dimensional satellite drag computer experiment. Code for this example is provided in a public git repository.
The sensitivity of electron shading damage to electron temperature, electron density and the plasma-to-wafer electron energy threshold (2003)

The electron temperature, T/sub e/, is a well known critical parameter affecting electron shading damage (ESD). This parameter is considered important because the damaging part of the electron density comes from high energy tail of the electron energy distribution. As the size of the high energy tail is dependent upon T/sub e/, obtaining low T/sub e/ in plasma processing is considered an important approach to reducing ESD. Recent results in metal etching (Tokashiki et al., 1998) suggest that ESD not only depends on T/sub e/ as previously suspected but also that the electron density, n/sub e/, may play an important role. We introduce a new parameter, the electron energy threshold, and demonstrate that it may be as important as T/sub e/ or n/sub e/ in the mechanism for electron shading damage. This new parameter, E/sub th/, is the energy threshold for electrons to reach the wafer surface and is related to the plasma potential as well as the wafer DC bias. This threshold aspect of electron shading damage could explain why a particular class of recipes (high bias power/low source power) show improved damage performance in inductively coupled plasma (ICP) etching tools (Tokashiki et al, 1998; Tabara, 1997; Hashimoto et al., 1997; Karzhavin and Wu, 1998). In addition, we provide experimental evidence obtained on an Applied Materials DPS Metal Etch Centura which supports this explanation.
Integrated Platform for Testing MEMS Mechanical Properties at the Wafer Scale by the IMaP Methodology (2001)

A new instrument to accurately and verifiably measure mechanical properties across an entire MEMS wafer is under development. We have modified the optics on a conventional microelectronics probe station to enable three-dimensional imaging while maintaining the full working distance of a long working distance objective. This allows standard probes or probe cards to be used. We have proceeded to map out mechanical properties of polycrystalline silicon along a wafer column by the Interferometry for Material Property Measurement (IMaP) methodology. From interferograms of simple actuated cantilevers, out-of-plane deflection profiles at the nanometer scale are obtained. These are analyzed by integrated software routines that extract basic mechanical properties such as cantilever curvature and Young's modulus. Non-idealities such as support post compliance and beam take off angle are simultaneously quantified. Curvature and residual stress are found to depend on wafer position. Although deflections of cantilevers varied across the wafer, Young's modulus E ∼ 161 GPa is independent of wafer position as expected. This result is achieved because the non-idealities have been taken into account.
What the Seller Wont Tell You: Persuasion and Disclosure in Markets (2009)

Thе paper presents the microeconomic theoretical arguments about how sellers disclose information in an attempt to encourage buyers, and the potential role for regulation in encouraging efficient disclosure of information. The author seeks to understand, when should one expect all the relevant information to be reported. If testing and reporting by the seller are costly, the question is whether too little or too much testing and reporting will be done. The article also studies the types of information withheld by the seller and the corresponding reactions of rational buyers. The problems of social welfare and the government regulations to improve the functioning of markets are also addressed. The theoretical tool proposed by the author is the theory of persuasion games - games in which one or more sellers provide verifiable information to buyers to influence the actions they take.
Mass-transport fabrication of off-axis and prismatic gallium phosphide optics (1999)

Refractive prismatic and off-axis micro-optical elements have been fabricated in gallium phosphide by mass-transport smoothing of multistep and binary preforms, respectively. A total optical efficiency of greater than 94% was measured for the prism, while diffraction-limited collimation and steering were demonstrated with the off-axis lens. A qualitative discussion of possible errors in binary preform etching and their effects on the surface figure is also included.
The Power of the United Nations Sustainable Development Goals in Sustainable Chemistry and Engineering Research (2021)

ADVERTISEMENT RETURN TO ISSUEEditorialNEXTThe Power of the United Nations Sustainable Development Goals in Sustainable Chemistry and Engineering ResearchPaul AnastasPaul AnastasMore by Paul Anastashttps://orcid.org/0000-0003-4777-5172, Marcelo NolascoMarcelo NolascoMore by Marcelo Nolasco, Francesca KertonFrancesca KertonMore by Francesca Kertonhttps://orcid.org/0000-0002-8165-473X, Mary KirchhoffMary KirchhoffMore by Mary Kirchhoffhttps://orcid.org/0000-0002-9527-6979, Peter LicencePeter LicenceMore by Peter Licencehttps://orcid.org/0000-0003-2992-0153, Thalappil PradeepThalappil PradeepMore by Thalappil Pradeephttps://orcid.org/0000-0003-3174-534X, Bala SubramaniamBala SubramaniamMore by Bala Subramaniamhttps://orcid.org/0000-0001-5361-1954, and Audrey MooresAudrey MooresMore by Audrey Mooreshttps://orcid.org/0000-0003-1259-913XCite this: ACS Sustainable Chem. Eng. 2021, 9, 24, 8015–8017Publication Date (Web):June 21, 2021Publication History Received4 June 2021Published online21 June 2021Published inissue 21 June 2021https://pubs.acs.org/doi/10.1021/acssuschemeng.1c03762https://doi.org/10.1021/acssuschemeng.1c03762editorialACS PublicationsCopyright © Published 2021 by American Chemical Society. This publication is available under these Terms of Use. Request reuse permissions This publication is free to access through this site. Learn MoreArticle Views4376Altmetric-Citations17LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail PDF (856 KB) Get e-AlertscloseSUBJECTS:Biomaterials,Chemical engineering and industrial chemistry,COVID-19,Materials,Sustainability Get e-Alerts
The use of Sulfonamide Derivatives in the Treatment of Trypanosomatid Parasites including Trypanosoma cruzi, Trypanosoma brucei, and Leishmania ssp (2019)

More than 10 million people around the world are afflicted by Neglected Tropical Diseases, such as Chagas Disease, Human African Trypanosomiasis, and Leishmania. These diseases mostly occur in undeveloped countries that suffer from a lack of economic incentive, research, and policy for new compound development. Sulfonamide moieties are effective scaffolds present in several compounds that are determinants to treat various diseases, principally neglected tropical diseases. This review article examines the contribution of these scaffolds in medicinal chemistry in the last five years, focusing on three trypanosomatid parasites: Trypanosoma cruzi, Trypanosoma brucei, and Leishmania ssp. We also present perspectives for their use in drug designs in an effort to contribute to new drug development. In addition, we consider the physicochemical parameters, whose molecules all presented according to Lipinski's rule. The correlation between the selective index and LogP was evaluated, showing that sulfonamide derivatives can act differently against each trypanosomatid parasite. Moreover, the approaches of novel drugs and technologies are very important for the eventual drug discovery against trypanosomatid diseases.
Crystallographic study of recombinant TMPK fromMycobacterium tuberculosis, with substrates and inhibitors (2000)

In the presence of dTMP, TMPK Mt crystallises in the hexagonal space group P6 5 22 with one monomeric molecule (M.W. 24 kD) per asymmetric unit and with cell parameters of: a=b=76.62 , c=134.38 . Cryo-cooled crystals diffracted at 1.95 using synchrotron radiation (M.W. 24 kD). Resolution of the crystal structure of the complex was performed by the Multiple Isomorphous Replacement Method (MIR). The phases at 2.9 were obtained with five heavy atom derivatives, including the nucleotide analogue Iodo-dUMP. Refinement was performed between 20-1.95 resolution with REFMAC (R factor = 20.64, R free =24.81). These results were presented in a paper 2 and communication 3 .
Mild Palladium-Catalyzed Cyanation of (Hetero)aryl Halides and Triflates in Aqueous Media (2015)

A mild, efficient, and low-temperature palladium-catalyzed cyanation of (hetero)aryl halides and triflates is reported. Previous palladium-catalyzed cyanations of (hetero)aryl halides have required higher temperatures to achieve good catalytic activity. This current reaction allows the cyanation of a general scope of (hetero)aryl halides and triflates at 2-5 mol % catalyst loadings with temperatures ranging from rt to 40 °C. This mild method was applied to the synthesis of lersivirine, a reverse transcriptase inhibitor.
Supplementary Figure 2 from Chronic Myelogenous Leukemia– Initiating Cells Require Polycomb Group Protein EZH2 (2023)

&lt;p&gt;Figure showing Ezh2 is required for initiation and development of CML in mouse.&lt;/p&gt;
191. Frataxin: A Putative Biomarker for Minimal Effective Dosage of AAV Gene Therapy (2015)

Friedrich ataxia (FRDA) is an autosomal recessive neurodegenerative disorder caused by a triplet repeat expansion in the frataxin gene (FXN), which encodes the mitochondrial protein frataxin. Deficiency in frataxin expression results in severe mitochondrial dysfunction leading to progressive gait abnormality, impaired muscle coordination, muscle weakness, hyporeflexia, dysmetria, dysarthria, and hypertrophic cardiomyopathy. Currently, there are no approved treatments for FRDA, which is the most common occurring autosomal recessive ataxia, affecting 1 in 50,000 people worldwide. Precise quantification of frataxin levels is critical for establishing the effectiveness of potential therapies. Therefore, methods that improve detection of FXN expression will facilitate the implementation of novel therapies into a clinical setting. Our overall objective is to establish an approach for effective gene transfer and quantification of frataxin levels sufficient to restore mitochondrial function. Stable isotope labeling of amino acids in cell culture or in mammals (SILAC/M) is a novel and sensitive mass spectrometry based approach we propose for the quantification of frataxin levels; therefore enabling determination of required levels for correction of FXN deficiency. We have generated a rAAV2/9-FXN vector expressing codon optimized human FXN for use in models of FRDA. Renal epithelial cells (REC) were isolated from control and FRDA patients, and was SILAC used to quantify AAV-mediated FXN expression in-vitro. Induced pluripotent stem cells (IPSC) were generated from REC's, and subsequently differentiated to cardiomyocytes and neurons. AAV-mediated correction of FXN was verified by increased mitochondrial activity including reduced iron deposition and increased aconitase function in FRDA cells. Preliminary results show that SILAC/M are able to accurately measure endogenous and vector derived FXN expression in-vitro and in-vivo. Moreover, improvement in mitochondrial function was correlated with levels of FXN expression in vitro. Future studies will involve systemic dosing of rAAV9-FXN in a novel model of FRDA.
Photonic Nano-Devices and Coherent Phenomena in Some Low Dimensional Systems (2008)

Abstract not Available.
Provisioning green energy for small cell BSs (2014)

Mobile base stations (BSs) can be powered by green energy in order to reduce the on-grid energy consumption, and subsequently reduce the carbon footprints. However, equipping a BS with a green energy system incurs additional capital expenditure (CAPEX) which is determined by the size of the green energy generator, the battery capacity, and other installation expense. In this paper, we introduce and investigate the green energy provisioning (GEP) problem which aims to minimize the CAPEX on deploying green energy powered BSs while achieving the capacity expansion and traffic offloading target. The GEP problem is challenging because it involves optimization over multiple time slots and across multiple BSs. We propose a heuristic green energy provisioning solution which decomposes the GEP problem into three sub-problems: the traffic load optimization problem, the active BS selection problem, and the green energy system sizing problem. We propose algorithms to solve the sub-problems and subsequently solve the GEP problem.
Silicon Carbide Pressure Sensors for Venus Environment (2018)

We report on the evaluation of 4H-SiC piezoresistive pressure sensors in the simulated Venus environment of the NASA Glenn Extreme Environments Rig (GEER). The purpose of the evaluation was to determine the survivability of the pressure and temperature sensors and ancillary packaging components when subjected to the high pressure and aggressive chemical media that are characteristic of the Venus environment. Interest in Venus has been stimulated by the ongoing debate about Earth's planetary evolution, particularly in regards to its climate, and NASA has proposed a flagship mission to Venus to be launched in the near future. Quantifying how the Venus evo-lution ran its course will greatly aid researchers trying to model Earth's climate dynamics.
One‐step targeted maximum likelihood estimation for time‐to‐event outcomes (2019)

Researchers in observational survival analysis are interested in not only estimating survival curve nonparametrically but also having statistical inference for the parameter. We consider right-censored failure time data where we observe n independent and identically distributed observations of a vector random variable consisting of baseline covariates, a binary treatment at baseline, a survival time subject to right censoring, and the censoring indicator. We assume the baseline covariates are allowed to affect the treatment and censoring so that an estimator that ignores covariate information would be inconsistent. The goal is to use these data to estimate the counterfactual average survival curve of the population if all subjects are assigned the same treatment at baseline. Existing observational survival analysis methods do not result in monotone survival curve estimators, which is undesirable and may lose efficiency by not constraining the shape of the estimator using the prior knowledge of the estimand. In this paper, we present a one-step Targeted Maximum Likelihood Estimator (TMLE) for estimating the counterfactual average survival curve. We show that this new TMLE can be executed via recursion in small local updates. We demonstrate the finite sample performance of this one-step TMLE in simulations and an application to a monoclonal gammopathy data.
A Bayesian approach to spectrum sensing, denoising and anomaly detection (2009)

This paper deals with the problem of discriminating samples that contain only noise from samples that contain a signal embedded in noise. The focus is on the case when the variance of the noise is unknown. We derive the optimal soft decision detector using a Bayesian approach. The complexity of this optimal detector grows exponentially with the number of observations and as a remedy, we propose a number of approximations to it. The problem under study is a fundamental one and it has applications in signal denoising, anomaly detection, and spectrum sensing for cognitive radio. We illustrate the results in the context of the latter.
Reliable Performance Comparison of Perovskite Solar Cells Using Optimized Maximum Power Point Tracking (Solar RRL 2∕2019) (2019)

Determining the accurate power output of perovskite-based thin film solar cells is dependent on measuring conditions and parameters. In article no. 1800287, Lucija Rakocevic and co-workers show how the choice of measuring parameters can alter the measured performance in maximum power point tracking. A measuring procedure for comparison of different perovskite-based nip architectures is proposed.