gebhart/patrepeval huggingface dataset:
An open label, nonrandomized, multisite phase II trial combining bevacizumab, atezolizumab, and rucaparib for the treatment of previously treated recurrent and progressive endometrial cancer. (2022)

5510 Background: Patients with metastatic recurrent endometrial cancer have limited effective therapies. Single agent pembrolizumab is utilized in mismatch repair deficient (MMRd) patients, while the combination of lenvatinib and pembrolizumab is now more commonly used in MMR intact patients who have progressed after chemotherapy combinations. This trial investigated a novel three drug regimen. Methods: Patients with recurrent endometrial cancer not amenable to curative intent surgery or radiation after one or two lines of therapy were eligible regardless of histology. This study is a multicenter, open-label, nonrandomized phase II trial. All subjects initially received the three-drug combination of rucaparib, bevacizumab, and atezolizumab. The primary goal of this trial was to estimate the overall response rate in these patients, and secondarily to estimate the progression-free and overall survival of patients treated with this triplet combination. Total enrollment was 30, with the first six subjects participated in a safety lead-in. Treatments until progression, toxicity, or clinician choice. Subjects could continue past progression if, in the estimate of the treating clinician and subject, clinical benefit was being provided. Subjects were eligible for analysis if they received at least one cycle and had one post-dose tumor assessment. The ORR assumption was 27% with a lower bound of 14%. Results: 30 subjects were enrolled between 07/2019 and 06/2021. Of these 26 were evaluable. Median follow up at cut off was 14.9 months. 23 subjects had clinical benefit, with 1 (4%) with CR, 9 (39%) with PR, and 13 (57%) with stable disease as best response. Overall median event-free (progression or death) was 5.3 (95% CI 2.7-7.9) months and overall survival 13.3 (95% CI NA) months at cut off. Median duration of therapy was 4.4 months (IQR 1.7-7.3), with 4 subjects remaining on study directed therapy at data cut off. Histology distribution was 50% serous, 20% endometrioid, and 13% carcinosarcoma. 19 pts were White, 8 African American, 2 identified as Asian, 1 unknown. In the MMR deficient patients, event-free probability was 11.9 months. Grade 3 or 4 treatment related adverse events occurred in 50% patients. Conclusions: To our knowledge, this trial represents the first use of a non-chemotherapy-based triplet therapy for recurrent endometrial cancer. The combination of rucaparib, bevacizumab, and atezolizumab may safely be used to treat recurrent/persistent endometrial cancer. This combination demonstrates clinically meaningful improvement in response, with acceptable toxicity. Enhanced response to therapy was seen in MMR deficient subjects. Clinical trial information: NCT03694262.
Pharmacological characterization of SB‐710411 (Cpa‐c[D‐Cys‐Pal‐D‐Trp‐Lys‐Val‐Cys]‐Cpa‐amide), a novel peptidic urotensin‐II receptor antagonist (2002)

1. Human urotensin-II (hU-II), a cyclic undecapeptide, is amongst the most potent mammalian vasoconstrictors identified, suggesting that hU-II and its G-protein-coupled receptor (UT) may regulate cardiovascular homeostasis. Such a hypothesis would benefit greatly from the development of selective UT antagonists. 2. Although the somatostatin (SST) antagonist SB-710411 (Cpa-c[D-Cys-Pal-D-Trp-Lys-Val-Cys]-Cpa-amide) is purported to block U-II-induced contractions in rat isolated aorta, little is known about its specific pharmacological properties. 3. SB-710411 (10 micro M) inhibited hU-II-induced contraction in rat isolated aorta causing a significant, parallel shift in the agonist concentration-response curve (pK(b) 6.28+/-0.11; n=8) with no suppression of the E(max). In contrast, SB-710411 did not alter the contractile actions of angiotensin-II, phenylephrine, or KCl. Paradoxically, however, SB-710411 potentiated the contractile response to endothelin-1 (pEC(50) 8.02+/-0.16 and 8.54+/-0.11, P<0.01; n=8). Rather than being specific toSB-710411, this phenomenon appears to be related to somatostatin receptor affinity and not intrinsic activity since the SST agonist somatostatin-14 and antagonist cyclo-somatostatin also potentiated endothelin-1-induced contraction. 4. SB-710411 (10 micro M) did not inhibit carbachol, sodium nitroprusside, IBMX, isoprenaline, and levcromakalim-induced reversal of tone established with noradrenaline. In contrast, however, SB-710411 significantly inhibited the reversal of tone established with endothelin-1 using the same vasorelaxants. 5. In summary, although SB-710411 inhibits the vasoconstrictor actions of hU-II in a competitive, surmountable manner, it also possesses additional pharmacological actions. Thus, whilst the present study is amongst the first to detail the properties of a functional U-II receptor antagonist, the data suggest caution be used when assessing data generated utilizing this moiety and other SST analogues.
Frontiers in non-invasive cardiac mapping: future implications for arrhythmia treatment (2017)

Electrocardiographic mapping (ECM) is a noninvasive technique using body surface potentials and CT geometry to reconstruct epicardial maps. ECM is emerging as an important tool not only for diagnostic mapping, but also as a guide for trans-catheter ablation of complex arrhythmias such as atrial fibrillation. It provides the clinician with an immediate global view of the substrate, allowing easier pre-procedural planning, potentially improving clinical outcomes. Panoramic mapping of ventricular fibrillation (VF) is helping to develop a better understanding of its physiology, with future implications for the identification of therapeutic targets in patients with structural heart disease, as well as in idiopathic VF.
ChemInform Abstract: Tetradecanuclear Iron(III)‐Oxo Nanoclusters Stabilized by Trilacunary Heteropolyanions. (2015)

Abstract Compounds (III), (VIII), and (XII) are characterized by single crystal XRD, IR spectroscopy, magnetic susceptibility measurements, and electrochemical measurements.
Fast rerouting for IP multicast in managed IPTV networks (2009)

Recent deployment of IP based multimedia distribution, especially broadcast TV distribution has increased the importance of simple and fast restoration during IP network failures for service providers. In this paper, we propose and evaluate a simple but efficient method for fast rerouting of IP multicast traffic during link failures in managed IPTV networks. More specifically, we devise an algorithm for tuning IP link weights so that the multicast routing path and the unicast routing path between any two routers are failure disjoint, allowing us to use unicast IP encapsulation for undelivered multicast packets during link failures. We demonstrate that, our method can be realized with minor modification to the current multicast routing protocol (PIM-SM). We run our prototype implementation in Emulab which shows our method yields to good performance.
Compact Architecture for ASIC and FPGA Implementation of the KASUMI Block Cipher (2011)

Compact design is very important for embedded systems such as wireless sensor nodes, RFID tags and mobile devices because of their limited hardware (H/W) resources. This paper proposes a compact H/W implementation for the KASUMI block cipher, which is the 3GPP standard encryption algorithm. In [8] and [9], Yamamoto et al. proposed a method of reducing the register size for the MISTY1 FO function (YYI-08), and implemented very compact MISTY1H/W. In this paper we aim to implement the smallest KASUMIH/W to date by applying a YYI-08 configuration to KASUMI, whose FO function has a similar structure to that of MISTY1. However, we discovered that straightforward application of YYI-08 raises problems. We therefore propose a new YYI-08 configuration improved for KASUMI and the compact H/W architecture. The new YYI-08 configuration consists of new FL function calculation schemes and a suitable calculation order. According to our logic synthesis on a 0.11-µm ASIC process, the gate size is 2.99 K gates, which, to our knowledge, is the smallest to date.
Combination of acamprosate and baclofen (PXT864) as a potential new therapy for amyotrophic lateral sclerosis (2020)

There is currently no therapy impacting the course of amyotrophic lateral sclerosis (ALS). The only approved treatments are riluzole and edaravone, but their efficacy is modest and short-lasting, highlighting the need for innovative therapies. We previously demonstrated the ability of PXT864, a combination of low doses of acamprosate and baclofen, to synergistically restore cellular and behavioral activity in Alzheimer's and Parkinson's disease models. The overlapping genetic, molecular, and cellular characteristics of these neurodegenerative diseases supported investigating the effectiveness of PXT864 in ALS. As neuromuscular junction (NMJ) alterations is a key feature of ALS, the effects of PXT864 in primary neuron-muscle cocultures injured by glutamate were studied. PXT864 significantly and synergistically preserved NMJ and motoneuron integrity following glutamate excitotoxicity. PXT864 added to riluzole significantly improved such protection. PXT864 activity was then assessed in primary cultures of motoneurons derived from SOD1<sup>G93A</sup> rat embryos. These motoneurons presented severe maturation defects that were significantly improved by PXT864. In this model, glutamate application induced an accumulation of TDP-43 protein in the cytoplasm, a hallmark that was completely prevented by PXT864. The anti-TDP-43 aggregation effect was also confirmed in a cell line expressing TDP-43 fused to GFP. These results demonstrate the value of PXT864 as a promising therapeutic strategy for the treatment of ALS.
Data Challenges in Disease Response (2015)

research-article Share on Data Challenges in Disease Response: The 2014 Ebola Outbreak and Beyond Authors: Kush R. Varshney IBM Thomas J. Watson Research Center, Yorktown Heights, NY IBM Thomas J. Watson Research Center, Yorktown Heights, NYView Profile , Dennis Wei IBM Thomas J. Watson Research Center, Yorktown Heights, NY IBM Thomas J. Watson Research Center, Yorktown Heights, NYView Profile , Karthikeyan Natesan Ramamurthy IBM Thomas J. Watson Research Center, Yorktown Heights, NY IBM Thomas J. Watson Research Center, Yorktown Heights, NYView Profile , Aleksandra Mojsilović IBM Thomas J. Watson Research Center, Yorktown Heights, NY IBM Thomas J. Watson Research Center, Yorktown Heights, NYView Profile Authors Info & Claims Journal of Data and Information QualityVolume 6Issue 2-3July 2015 Article No.: 5pp 1–3https://doi.org/10.1145/2742550Published:03 June 2015Publication History 3citation384DownloadsMetricsTotal Citations3Total Downloads384Last 12 Months9Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Characterization of the basic fraction of marijuana smoke by capillary gas chromatography/mass spectrometry (1981)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTCharacterization of the basic fraction of marijuana smoke by capillary gas chromatography/mass spectrometryFranco. Merli, Donald. Wiesler, Michael P. Maskarinec, Milos. Novotny, Dan L. Vassilaros, and Milton L. LeeCite this: Anal. Chem. 1981, 53, 12, 1929–1935Publication Date (Print):October 1, 1981Publication History Published online1 May 2002Published inissue 1 October 1981https://pubs.acs.org/doi/10.1021/ac00235a048https://doi.org/10.1021/ac00235a048research-articleACS PublicationsRequest reuse permissionsArticle Views216Altmetric-Citations12LEARN 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
Effective Temperature in an Interacting Vertex System: Theory and Experiment on Artificial Spin Ice (2010)

Frustrated arrays of interacting single-domain nanomagnets provide important model systems for statistical mechanics, as they map closely onto well-studied vertex models and are amenable to direct imaging and custom engineering. Although these systems are manifestly athermal, we demonstrate that an effective temperature, controlled by an external magnetic drive, describes their microstates and therefore their full statistical properties.
Reliability of Data Storage Systems under Network Rebuild Bandwidth Constraints (2012)

To improve the reliability of data storage systems, certain data placement schemes spread replicas corresponding to data stored on each node across several other nodes. When node failures occur, this enables parallelizing the rebuild process which in turn results in reducing the rebuild times. However, the underlying assumption is that the parallel rebuild process is facilitated by sufficient availability of network bandwidth to transfer data across nodes at full speed. In a large-scale data storage system where the network bandwidth for rebuild is constrained, such placement schemes will not be as effective. In this paper, it is shown through analysis and simulation how the spread of replicas across nodes affects system reliability under a network bandwidth constraint. Efficient placement schemes that can achieve high reliability in the presence of bandwidth constraints are proposed. Furthermore, in a dynamically changing storage system, in which the number of nodes and the network rebuild bandwidth can change over time, the data placement can be accordingly adapted to maintain a high level of reliability.
Sn-MCM-41â€”a heterogeneous selective catalyst for the Baeyerâ€“Villiger oxidation with hydrogen peroxideElectronic supplementary information (ESI) available: XRD pattern of as-prepared Sn-MCM-41. See http://www.rsc.org/suppdata/cc/b1/b105927k/ (2001)

A new heterogeneous catalyst, Sn-MCM-41, is described for the Baeyer-Villiger reaction with hydrogen peroxide which selectively activates the carbonyl function for the nucleophilic attack by the oxidant, with high chemoselectivities when double bonds are present in the molecule.
Operational characteristics of a 14-W 140-GHz gyrotron for dynamic nuclear polarization (2006)

The operating characteristics of a 140-GHz 14-W long pulse gyrotron are presented. The device is being used in dynamic nuclear polarization enhanced nuclear magnetic resonance (DNP/NMR) spectroscopy experiments. The gyrotron yields 14 W peak power at 139.65 GHz from the TE(0,3) operating mode using a 12.3-kV 25-mA electron beam. Additionally, up to 12 W peak has been observed in the TE(2,3) mode at 136.90 GHz. A series of mode converters transform the TE(0,3) operating mode to the TE(1,1) mode. Experimental results are compared with nonlinear simulations and show reasonable agreement. The millimeter-wave output beam was imaged in a single shot using a pyroelectric camera. The mode patterns matched reasonably well to theory for both the TE(0,1) mode and the TE(1,1) mode. Repeatable mode patterns were obtained at intervals ranging from 0.8 s apart to 11 min apart at the output of the final mode converter.
Distributed Rate Control for Smart Solar Arrays (2017)

Continued advances in technology have led to falling costs and a dramatic increase in the aggregate amount of solar capacity installed across the world. A drawback on increased solar penetration is the potential for supply-demand mismatches in the grid due to the intermittent nature of solar generation. While energy storage can be used to mask such problems, we argue that there is also a need to explicitly control the rate of solar generation of each solar array in order to achieve high penetration while also handling supply-demand mismatches. To address this issue, we present the notion of smart solar arrays that can actively modulate their solar output based on the notion proportional fairness. We present a decentralized algorithm based on Lagrangian optimization that enables each smart solar array to make local decisions on its fair share of solar power it can inject into the grid, and then present a sense-broadcast-respond protocol to implement our decentralized algorithm into smart solar arrays. Our evaluation on a city-scale dataset shows that our approach enables 2.6x more solar penetration, while causing smart arrays to reduce their output by as little as 12.4%. By employing an adaptive gradient approach, our decentralized algorithm has 3 to 30x faster convergence. Finally, we implement our distributed algorithm on a Raspberry Pi-class processor to demonstrate its feasibility on grid-tied solar inverters with limited processing capability.
Characterizing the phosphatase mimetic activity of cerium oxide nanoparticles and distinguishing its active site from that for catalase mimetic activity using anionic inhibitors (2017)

Cerium oxide nanoparticles (CeNPs) are potent reactive oxygen and nitrogen species scavengers and demonstrate beneficial antioxidant properties in both cell culture and animal studies.
Effects of Progestins on Progesterone Synthesis in a Stable Porcine Granulosa Cell Line: Control of Transcriptional Activity of the Cytochrome P450 Side-Chain Cleavage Gene1 (2002)

The purpose of the present study was to examine the effects of progestins on progesterone synthesis and expression of the cytochrome P450 cholesterol side-chain cleavage gene (P450(scc)) in a stable porcine granulosa cell line, the JC-410. Cells were incubated for 48 h with the synthetic progestogen-levornorgestrel with or without RU486 (progesterone and glucocorticoid receptor antagonist) or RWJ26819 (progesterone agonist without affinity to glucocorticoid receptors). Both levonorgestrel and RU486 enhanced progesterone accumulation in a dose-dependent manner. RU486 did not antagonize the effects of levonorgestrel, and RWJ26819 had no effect on progesterone production in cultured JC-410 cells. Progesterone and levonorgestrel increased steady state P450(scc) mRNA levels after 3-6 h of treatment. Progesterone and RU486 at 0.1, 1, and 10 microM increased the transcription rate of P450(scc) transiently expressed in JC-410 cells after 18 h of incubation; 30 microM had no effect, and 100 microM suppressed transcription. Levonorgestrel did not affect transcription of the P450(scc) gene, and RWJ26819 reduced its transcription. Progesterone and RU486 significantly decreased the number of cells and total protein content after 72 and 24 h of incubation, respectively. Levonorgestrel had no effect, whereas RWJ26819 increased (24 h) but subsequently reduced (72 h) cell number and protein content. The present results indicate that progestins are capable of directly modulating progesterone biosynthesis in porcine JC-410 granulosa cells. These effects may be exerted in part through the regulation of P450(scc) gene expression. Ostensible differences exist between progesterone and its synthetic analogues in the control of progesterone secretion in the stable porcine granulosa cell line in vitro.
Gamma-ray Dose Measurements in a Human Phantom Using Thermoluminescent Dosimeter (1974)

A human phantom of polyethylene has been designed and sculptured for studying the effective radiation safety control. The phantom has the approximate size of the Korean adult and was sliced into thirty-five transverse slabs, 2.5 cm thick, The relative dose at the specified position was determined from the exposure that a TLD badge worn on the surface of the phantom body received from external -ray. The variation of the exposure as a function of depth in the phantom was measured for uncollimated -ray using TLD rods, and also isodose curves were obtained for the anatomical cross-section of the critical organs of the body. To simulate radiation exposure condition in the nuclear facility, measurements were made for given angles of incident -ray. The front to back attenuation factor for human phantom of thickness 20 cm was 0.439 for Cs -ray which is in reasonable agreement with the published data.
Plasmonic Nanorattles with Intrinsic Electromagnetic Hot‐Spots for Surface Enhanced Raman Scattering (2014)

The synthesis of plasmonic nanorattles with accessible electromagnetic hotspots that facilitate highly sensitive detection of chemical analytes using surface enhanced Raman scattering (SERS) is demonstrated. Raman spectra obtained from individual nanorattles demonstrate the significantly higher SERS activity compared to solid plasmonic nanostructures.
Learning Shared Representations in Multi-task Reinforcement Learning (2016)

We investigate a paradigm in multi-task reinforcement learning (MT-RL) in which an agent is placed in an environment and needs to learn to perform a series of tasks, within this space. Since the environment does not change, there is potentially a lot of common ground amongst tasks and learning to solve them individually seems extremely wasteful. In this paper, we explicitly model and learn this shared structure as it arises in the state-action value space. We will show how one can jointly learn optimal value-functions by modifying the popular Value-Iteration and Policy-Iteration procedures to accommodate this shared representation assumption and leverage the power of multi-task supervised learning. Finally, we demonstrate that the proposed model and training procedures, are able to infer good value functions, even under low samples regimes. In addition to data efficiency, we will show in our analysis, that learning abstractions of the state space jointly across tasks leads to more robust, transferable representations with the potential for better generalization. this shared representation assumption and leverage the power of multi-task supervised learning. Finally, we demonstrate that the proposed model and training procedures, are able to infer good value functions, even under low samples regimes. In addition to data efficiency, we will show in our analysis, that learning abstractions of the state space jointly across tasks leads to more robust, transferable representations with the potential for better generalization.