gebhart/patrepeval huggingface dataset:
Improvement in transient piezoelectric responses of NDE transceivers using selective damping and tuning networks (2000)

NDE ultrasonic applications for quality control purposes, based on piezoelectric devices working as pulsed ultrasonic probes, usually include some tuning circuit either across the pulser output connectors or close to the piezoelectric probe electrodes. Classic criteria to determine tuning parameters in ultrasonic transducers do not perform very well in transient regime under the typical electrical conditions and peculiar output impedances of the required high-voltage pulsers. In most practical situations, the tuning values are manually adjusted in specific circuits for each NDE case, testing each channel of a multiprobe inspection system to find the best sensitivity. In this paper, the positive influences of certain selective damping and tuning networks on the time and frequency behaviors of NDE piezoelectric transceivers are analyzed in detail. Different waveforms and spectra of received ultrasonic signals are comparatively evaluated for different real tuning conditions, after passing through two ultrasonic processes linked in cascade: a transmitter of industrial type and a broad-band ultrasonic receiver. Piezoelectric transducer impedances, transduction transfer functions, and HV output spikes from a piezoelectrically loaded NDE pulser, are computed, to identify separately the influence of each stage. In order to improve amplitude and axial resolution in the received transient responses, relative contributions from emission and reception tuning networks are individually evaluated for a particular NDE two-stage piezoelectric channel. Also shown are the final experimental results relative to the ultrasonic test pulse and detected in a through-transmission NDE configuration, gradually improved by using distinct tuning levels.
A Design of TSK-Based ELM for Prediction of Electrical Power in Combined Cycle Power Plant (2018)

This paper is concerned with the prediction of full load electrical power output of a base load operated Combined Cycle Power Plant (CCPP) based on Takai-Sugeno-Kang (TSK)-based Extreme Learning Machine (ELM). Here TSK-based ELM is designed by a systematic approach to producing automatic fuzzy if-then rules, while the conventional ELM is designed without knowledge information. The design of TSK-ELM consists of two main steps. In the first step, an initial randomly partition matrix is generated and cluster centers for random clustering are estimated. These centers are used to determine the premise part of fuzzy rules. Next, the linear parameters of the TSK fuzzy type in consequent part are estimated using the Least Squares Estimate (LSE) method. The experiments were performed on prediction of electrical power in CCPP by the presented TSK-ELM. The input variables include hourly average ambient variables temperature, ambient pressure, relative humidity and exhaust vacuum. The output variable is used to predict the net hourly electrical energy output. The experimental results revealed that the presented TSK-ELM showed good performance in compared to the original ELM.
Synthesis and Reactions of 3,4-Epoxycyclopentene (1960)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTSynthesis and Reactions of 3,4-EpoxycyclopenteneMalcolm Korach, Donald R. Nielsen, and Walker H. RideoutCite this: J. Am. Chem. Soc. 1960, 82, 16, 4328–4330Publication Date (Print):August 1, 1960Publication History Published online1 May 2002Published inissue 1 August 1960https://pubs.acs.org/doi/10.1021/ja01501a050https://doi.org/10.1021/ja01501a050research-articleACS PublicationsRequest reuse permissionsArticle Views453Altmetric-Citations45LEARN 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 Other access optionsGet e-Alertsclose Get e-Alerts
Synthesis, Rheological Characterization, and Constitutive Modeling of Polyhydroxy Triglycerides Derived from Milkweed Oil (2002)

Asclepias syriaca L., the common milkweed, is a new industrial crop. The seed contains about 20-30 wt % of a highly unsaturated oil having unusual fatty acids. Exploring value-added products from the oil, milkweed triglycerides have been oxidized by in situ performic acid to the polyoxirane and polyhydroxy triglycerides (PHTG). The rheological properties of milkweed PHTG were characterized in various shear flows. Milkweed PHTG displayed nonlinear viscoelastic behavior at applied strains greater than 1%. Milkweed PHTG was found to obey time-strain separability. A nonlinear Wagner constitutive model was used successfully to qualitatively predict the behavior of milkweed PHTG in both start-up and cessation of steady-state shear flow.
Characterization and In Vitro Sustained Release of Silibinin from pH Responsive Carbon Nanotube‐Based Drug Delivery System (2014)

The objective of the present study was to develop and characterize an in vitro sustained release formulation of silibinin (SB) using commercially available carboxylated multiwalled carbon nanotubes (COOH‐MWCNTs) and to investigate cytotoxicity action of the synthesized nanohybrid (SB‐MWCNTs). The resulting nanohybrid was characterized with Fourier transform infrared (FTIR), Raman spectroscopy, thermogravimetric analysis (TGA), ultraviolet‐visible spectrophotometry (UV‐Vis), scanning electron microscopy (SEM), and transmission electron microscopy (TEM). FTIR, Raman spectroscopy, and TGA analysis confirmed the adsorption of SB molecules to the COOH‐MWCNTs. The release of SB from the COOH‐MWCNTs nanocarrier was found to be sustained and pH‐dependent. The maximum percentage release of SB from the nanocarrier reached approximately 96.6% and 43.1% within 1000 minutes when exposed to pH 7.4 and pH 4.8 solutions, respectively. It was observed that the release of kinetic behaviour of SB from the MWCNTs nanocarrier conformed well to pseudo‐second order kinetic model. The obtained MTT result showed that the SB‐MWCNTs exhibited enhanced cytotoxicity to human cancer cell lines in comparison with free SB at lower concentrations. These results suggest that SB‐MWCNTs nanohybrid may be a promising nanodrug delivery system with sustained release property for the treatment of cancers.
P2‐085: Task‐switching errors show sensitivity to preclinical Alzheimer's disease biomarkers (2015)

Patterns of cerebrospinal fluid (CSF) and PIB imaging biomarkers characteristic of Alzheimer Disease (AD) pathology have been detected in individuals deemed to be cognitively normal. Recently, it has been shown that CSF markers, particularly those related to amyloid deposition, are related to preclinical cognitive deficits on an attention-demanding semantic discrimination task. It is unclear, however, whether this relationship is also found using an attention-demanding switch task in which individuals must actively switch between two task sets. Task-switching errors have been shown to be particularly sensitive to very early symptomatic AD, due to disruptions in the ability to reconfigure to a new task set when task demands change. We examined task-switching errors as a sensitive risk factor for preclinical AD as assessed by CSF and PIB imaging biomarkers in cognitively normal adults. 239 cognitively normal (Clinical Dementia Rating of 0) participants (age range = 45-84) with CSF measurements and PIB imaging at the Knight Alzheimer's Disease Research Center at Washington University completed 62 trials of a computerized consonant-vowel/odd-even (CVOE) switch task. Participants were presented with a letter/number stimulus (e.g., A-14) and were cued to classify the letter as a consonant/vowel or the number as odd/even. The letter/number cue switched every two trials. The primary dependent measures were the proportion of errors made during the classification task and the response latency with which the stimuli were correctly classified. Correlational analyses indicated PIB imaging and CSF Aβ42 were related to CVOE switch errors after controlling for participant age and education. No relationship was found between switch errors and CSF Tau and p-Tau181. Regression analyses revealed that both PIB and Aβ42 accounted for significant unique variance in CVOE errors. Biomarkers were not related to response latencies however, highlighting the sensitivity of switch errors in amyloid pathology. Results indicate that switch errors are a sensitive measure of preclinical cognitive deficits associated with accumulating amyloid pathology in cognitively normal adults. These results suggest that CSF markers, particularly those related to cortical amyloid deposition such as PIB and Aβ42, are associated with subtle attentional control deficits in cognitively normal adults.
Laparoscopic Surgery for Stress Urinary Incontinence and Pelvic Organ Prolapse (2005)

Section of Urogynecology and Reconstructive Pelvic Surgery, Female Pelvic Medicine and Reconstructive Surgery Fellowship, Department of Obstetrics and Gynecology, The Cleveland Clinic Foundation, Cleveland, Ohio Correspondence: Marie Fidela R. Paraiso, MD, Section of Urogynecology and Reconstructive Pelvic Surgery, Department of Obstetrics and Gynecology, The Cleveland Clinic Foundation, 9500 Euclid Avenue, A81, Cleveland, OH 44195. E-mail: [email protected]
Embryonic Stem Cell-like Population within Venous Malformation Expresses the Renin–Angiotensin System (2019)

Components of the RAS are expressed by ESC-like subpopulations within both SCVM and IMVM. These primitive subpopulations may be a novel therapeutic target by manipulation of the RAS using existing medications.
METRNL attenuates lipid-induced inflammation and insulin resistance via AMPK or PPARδ-dependent pathways in skeletal muscle of mice (2018)

Physical activity has many beneficial effects on metabolic disorders, such as obesity, insulin resistance, and diabetes. Meteorin-like protein (METRNL), a novel secreted protein homologous to the neurotrophin Metrn, is induced after exercise in the skeletal muscle. Herein, we investigated the effects of METRNL on lipid-mediated inflammation and insulin resistance in skeletal muscle via AMP-activated protein kinase (AMPK) or peroxisome proliferator-activated receptor δ (PPARδ). Treatment with METRNL suppressed inflammatory markers, such as nuclear factor κB (NFκB) nuclear translocation, inhibitory κBα (IκBα) phosphorylation, interleukin-6 (IL-6) expression, and pro-inflammatory cytokines (such as TNFα and MCP-1). METRNL treatment also attenuated the impaired insulin response both in palmitate-treated differentiated C2C12 cells and the skeletal muscle of high-fat diet (HFD)-fed mice. Furthermore, METRNL administration rescued glucose intolerance and reduced HFD-induced body weight gain in mice; however, METRNL did not affect calorie intake. METRNL treatment increased AMPK phosphorylation and PPARδ expression both in differentiated C2C12 cells and mouse skeletal muscle. siRNA-mediated suppression of AMPK and PPARδ abrogated the suppressive effects of METRNL on palmitate-induced inflammation and insulin resistance. Moreover, METRNL augmented the mRNA expression of fatty acid oxidation-associated genes, such as carnitine palmitoyltransferase 1 (CPT1), acyl-CoA oxidase (ACO), and fatty acid binding protein 3 (FABP3). siRNAs for AMPK and PPARδ reversed these changes. In the current study, we report for the first time that METRNL alleviates inflammation and insulin resistance and induces fatty acid oxidation through AMPK or PPARδ-dependent signaling in skeletal muscle.
Data from Mutation-derived Neoantigen-specific T-cell Responses in Multiple Myeloma (2023)

&lt;div&gt;AbstractPurpose:&lt;p&gt;Somatic mutations in cancer cells can give rise to novel protein sequences that can be presented by antigen-presenting cells as neoantigens to the host immune system. Tumor neoantigens represent excellent targets for immunotherapy, due to their specific expression in cancer tissue. Despite the widespread use of immunomodulatory drugs and immunotherapies that recharge T and NK cells, there has been no direct evidence that neoantigen-specific T-cell responses are elicited in multiple myeloma.&lt;/p&gt;Experimental Design:&lt;p&gt;Using next-generation sequencing data we describe the landscape of neo-antigens in 184 patients with multiple myeloma and successfully validate neoantigen-specific T cells in patients with multiple myeloma and support the feasibility of neoantigen-based therapeutic vaccines for use in cancers with intermediate mutational loads such as multiple myeloma.&lt;/p&gt;Results:&lt;p&gt;In this study, we demonstrate an increase in neoantigen load in relapsed patients with multiple myeloma as compared with newly diagnosed patients with multiple myeloma. Moreover, we identify shared neoantigens across multiple patients in three multiple myeloma oncogenic driver genes (&lt;i&gt;KRAS, NRAS&lt;/i&gt;, and &lt;i&gt;IRF4&lt;/i&gt;). Next, we validate neoantigen T-cell response and clonal expansion in correlation with clinical response in relapsed patients with multiple myeloma. This is the first study to experimentally validate the immunogenicity of predicted neoantigens from next-generation sequencing in relapsed patients with multiple myeloma.&lt;/p&gt;Conclusions:&lt;p&gt;Our findings demonstrate that somatic mutations in multiple myeloma can be immunogenic and induce neoantigen-specific T-cell activation that is associated with antitumor activity &lt;i&gt;in vitro&lt;/i&gt; and clinical response &lt;i&gt;in vivo&lt;/i&gt;. Our results provide the foundation for using neoantigen targeting strategies such as peptide vaccines in future trials for patients with multiple myeloma.&lt;/p&gt;&lt;/div&gt;
The activin receptor-like kinase 6 Booroola mutation enhances suppressive effects of bone morphogenetic protein 2 (BMP2), BMP4, BMP6 and growth and differentiation factor-9 on FSH release from ovine primary pituitary cell cultures (2007)

Bone morphogenetic proteins (BMPs) have been shown to influence the regulation of FSH synthesis and secretion at the level of the pituitary. Primary pituitary cells were harvested and cultured from Booroola ewes homozygous for a mutation in activin receptor-like kinase 6 (ALK6) also known as BMP receptor IB (BMPRIB), and from wild-type (WT) ewes to determine if the mutation caused alterations in FSH secretion in vitro. The cells were collected 24 h following induction of luteolysis and cultured for 72 h prior to being challenged for 24 h with BMP2, BMP4, BMP6, growth and differentiation factor-9 (GDF9), transforming growth factor-beta 1, activin-A and GnRH. The levels of FSH and LH were measured by RIA and then compared with the untreated controls. Primary pituitary cell cultures from Booroola ewes secreted less FSH than WT cells in the presence of BMP2, BMP4 and BMP6. These BMPs did not affect the FSH stores within the cells, or the levels of LH released. GDF9 appeared to act in a BMP-like manner by suppressing FSH secretion. The ALK6 receptor however, was not found to co-localise with gonadotroph cells in either Booroola or WT pituitary tissues. These findings imply that the increased sensitivity of Booroola cells to BMP2, BMP4, BMP6 and GDF9 cannot be due to the direct action of the ALK6 mutant Booroola receptor in the cells that synthesise FSH.
Frequency, Reasons, and Risk Factors of Entacapone Discontinuation in Parkinson Disease (2004)

Lack of efficacy seems to be the main reason for entacapone discontinuation. Male patients with wearing off and no orthostatic hypotension seem to tolerate the medication better. Advanced disease stage, presence of cognitive dysfunction, and presence of dyskinesia should not necessarily preclude patients from being treated with entacapone, when otherwise indicated.
Highly scalable STT-MRAM with MTJs of top-pinned structure in 1T/1MTJ cell (2010)

We report on spin transfer torque magnetoresistance random access memory (STT-MRAM) with magnetic tunnel junctions (MTJs) that have a top-pinned stacking structure. By adopting the top-pinned structure, in which a pinned layer and an antiferromagnetic layer are deposited above the MgO tunnel barrier, we can relieve the current limitation caused by driving power asymmetry of the transistor in a 1T/1M structure without an additional current path to make a reverse connection between the transistor and the top side of the MTJs, resulting in the cell area being reduced by about half.
Proanthocyanidin from Blueberry Leaves Suppresses Expression of Subgenomic Hepatitis C Virus RNA (2009)

Hepatitis C virus (HCV) infection is a major cause of chronic liver disease such as chronic hepatitis, cirrhosis, and hepatocellular carcinoma. While searching for new natural anti-HCV agents in agricultural products, we found a potent inhibitor of HCV RNA expression in extracts of blueberry leaves when examined in an HCV subgenomic replicon cell culture system. This activity was observed in a methanol extract fraction of blueberry leaves and was purified by repeated fractionations in reversed-phase high-performance liquid chromatography. The final purified fraction showed a 63-fold increase in specific activity compared with the initial methanol extracts and was composed only of carbon, hydrogen, and oxygen. Liquid chromatography/mass-ion trap-time of flight analysis and butanol-HCl hydrolysis analysis of the purified fraction revealed that the blueberry leaf-derived inhibitor was proanthocyanidin. Furthermore, structural analysis using acid thiolysis indicated that the mean degree of polymerization of the purified proanthocyanidin was 7.7, consisting predominantly of epicatechin. Proanthocyanidin with a polymerization degree of 8 to 9 showed the greatest potency at inhibiting the expression of subgenomic HCV RNA. Purified proanthocyanidin showed dose-dependent inhibition of expression of the neomycin-resistant gene and the NS-3 protein gene in the HCV subgenome in replicon cells. While characterizing the mechanism by which proanthocyanidin inhibited HCV subgenome expression, we found that heterogeneous nuclear ribonucleoprotein A2/B1 showed affinity to blueberry leaf-derived proanthocyanidin and was indispensable for HCV subgenome expression in replicon cells. These data suggest that proanthocyanidin isolated from blueberry leaves may have potential usefulness as an anti-HCV compound by inhibiting viral replication.
Technology adoption and the role of government: examining the national information and communication technology policies in developing countries (2019)

With this dissertation, I seek to provide an in-depth understanding of the role developing country governments can play in accelerating ICT adoption. By analyzing the institutional, technology, and market factors, this study seeks to provide a solid foundation for examining the design and implementation of successful ICT strategies. This research uses a combination of empirical and case study evidence to highlight the key challenges of reforming ICT policies and institutions within developing countries. Further, this study clarifies the role of national governments in sponsoring and promoting ICT access and usage. Currently, there is a growing disparity between those developing countries that have successfully integrated ICTs into their economies and those that have not. Many developing countries have created national ICT policies and institutions to bolster technological deployment with the goal of supporting productivity gains and new business development. However, for many countries, these initiatives have not translated to higher levels of ICT adoption or improved economic development. This has left developing country governments with a great deal of uncertainty over what policies to implement and which initiatives to fund. The case study analysis within this study has identified several key barriers to accelerating ICT adoption within developing countries. These barriers include a lack of affordable services, low levels of local expertise, and poor infrastructure, which combine to prevent latecomer countries from developing self-sustaining demand within the sector. This study’s results suggest that the critical determinant for overcoming these barriers is a high level of government involvement after ICT market privatization. Those developing countries with accelerated growth in their ICT sectors tend to have institutions capable of adapting their policies and institutions to the rapid pace technological and market evolution. This is also confirmed by my empirical research, which showed a positive and significant relationship between ICT institutions and levels of ICT adoption, while controlling for economic and social factors. In contrast, those developing country governments without an active role in regulating ICT competition or supporting ICT adoption and innovation have been unable to sustain rapid growth of their sector.
A phase 2 study of trametinib for patients with pediatric glioma or plexiform neurofibroma with refractory tumor and activation of the MAPK/ERK pathway: TRAM-01 (2019)

ClinicalTrials.gov Identifier: NCT03363217 December 6, 2017.
A virtual reality platform for dynamic human-scene interaction (2016)

Both synthetic static and simulated dynamic 3D scene data is highly useful in the fields of computer vision and robot task planning. Yet their virtual nature makes it difficult for real agents to interact with such data in an intuitive way. Thus currently available datasets are either static or greatly simplified in terms of interactions and dynamics. In this paper, we propose a system in which Virtual Reality and human / finger pose tracking is integrated to allow agents to interact with virtual environments in real time. Segmented object and scene data is used to construct a scene within Unreal Engine 4, a physics-based game engine. We then use the Oculus Rift headset with a Kinect sensor, Leap Motion controller and a dance pad to navigate and manipulate objects inside synthetic scenes in real time. We demonstrate how our system can be used to construct a multi-jointed agent representation as well as fine-grained finger pose. In the end, we propose how our system can be used for robot task planning and image semantic segmentation.
A novel mucosal RORgammat+NKp46+ cell subset is a source of interleukin-22 (2009)

Lymphoid tissue-inducer cells are hematopoietic cells essential for the organogenesis of several lymphoid structures during both fetal and adult life, whereas natural killer cells are key effector lymphocytes of the innate immune system. A series of recent reports has identified RORγt(+)NKp46(+) interleukin-22-producing cells in gut and tonsils that share features with both lymphoid tissue-inducer cells and natural killer cells and that may be involved in mucosal immunity and homeostasis.
Cytoplasmic mRNP granules at a glance (2011)

From their transcriptional birth to their degradation, cellular mRNAs are coated with proteins in messenger ribonucleoprotein (mRNP) complexes. The mRNP composition controls every aspect of the life of the mRNA, from pre-mRNA processing to mRNA localization, translation and turnover. Transitions