gebhart/patrepeval huggingface dataset:
ChemInform Abstract: Free Radical Methodology for Carbohydrate to Carbocycle Transformations: An Efficient Synthesis of the Tricyclic Dihydrofuran Portion of Azadirachtin. (1995)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Differences in Rat and Human Erythrocytes Following Blood Component Manufacturing: The Effect of Additive Solutions (2015)

Rat RBCs significantly differ from human RBCs in metabolic and membrane-related aspects. SAGM, which is commonly used for human RBC banking, causes high hemolysis and is not compatible with rat RBCs.
Evaluation of response to chemotherapy with fiberoptic bronchoscopy in non-small cell lung cancer (1980)

Fiberoptic bronchoscopy was performed before and during administration of chemotherapy in 32 patients with unresectable non-small cell carconoma of the lung. Pretreatment findings varied with the histologic cell type. Direct visual and/or pathologic evidence of cancer was obtained in 11 of 11 patients with epidermoid, in 5 of 7 with large cell, and in 9 of 14 with adenocarcinoma. In 5 of the 32 patients, intrathoracic tumor was documented at bronchoscopy but not by chest x-ray. During chemotherapy, one of five episodes of response and eight of 21 episodes of chest tumor progression were detected solely by bronchoscopy, while in an additional two objective responses and six progressions, bronchoscopic and radiographic findings simultaneously improved or deteriorated. The likelihood of documenting disease progression by bronchoscopy also depended upon the histologic type of cancer. Enlarging chest tumor found solely by chest x-ray occurred exclusively in patients with large cell carcinoma and adenocarcinoma. During chemotherapeutic treatment of our pateints, addition of serial bronchoscopic examinations to standard means of assessing tumor response frequently allowed the earlier discontinuation of an ineffective drug regimen.
Power dependence of the electron mobility profile in a Hall thruster (2014)

The electron mobility profile is estimated in a 4.5 kW commercial Hall thruster as a function of discharge power. Internal measurements of plasma potential and electron temperature are made in the thruster channel with a high-speed translating probe. These measurements are presented for a range of throttling conditions from 150 - 400 V and 0.6 - 4.5 kW. The fluid-based solver, Hall2De, is used in conjunction with these internal plasma parameters to estimate the anomalous collision frequency profile at fixed voltage, 300 V, and three power levels. It is found that the anomalous collision frequency profile does not change significantly upstream of the location of the magnetic field peak but that the extent and magnitude of the anomalous collision frequency downstream of the magnetic peak does change with thruster power. These results are discussed in the context of developing phenomenological models for how the collision frequency profile depends on thruster operating conditions.
Overexpression of DCLK1-AL Increases Tumor Cell Invasion, Drug Resistance, and KRAS Activation and Can Be Targeted to Inhibit Tumorigenesis in Pancreatic Cancer (2019)

Oncogenic KRAS mutation plays a key role in pancreatic ductal adenocarcinoma (PDAC) tumorigenesis with nearly 95% of PDAC harboring mutation-activated KRAS, which has been considered an undruggable target. Doublecortin-like kinase 1 (DCLK1) is often overexpressed in pancreatic cancer, and recent studies indicate that DCLK1+ PDAC cells can initiate pancreatic tumorigenesis. In this study, we investigate whether overexpressing DCLK1 activates RAS and promotes tumorigenesis, metastasis, and drug resistance. Human pancreatic cancer cells (AsPC-1 and MiaPaCa-2) were infected with lentivirus and selected to create stable DCLK1 isoform 2 (alpha-long, AL) overexpressing lines. The invasive potential of these cells relative to vector control was compared using Matrigel coated transwell assay. KRAS activation and interaction were determined by a pull-down assay and coimmunoprecipitation. Gemcitabine, mTOR (Everolimus), PI3K (LY-294002), and BCL-2 (ABT-199) inhibitors were used to evaluate drug resistance downstream of KRAS activation. Immunostaining of a PDAC tissue microarray was performed to detect DCLK1 alpha- and beta-long expression. Analysis of gene expression in human PDAC was performed using the TCGA PAAD dataset. The effects of targeting DCLK1 were studied using xenograft and Pdx1<sup>Cre</sup>Kras<sup>G12D</sup>Trp53<sup>R172H/+</sup> (KPC) mouse models. Overexpression of DCLK1-AL drives a more than 2-fold increase in invasion and drug resistance and increased the activation of KRAS. Evidence from TCGA PAAD demonstrated that human PDACs expressing high levels of DCLK1 correlate with activated PI3K/AKT/MTOR-pathway signaling suggesting greater KRAS activity. High DCLK1 expression in normal adjacent tissue of PDAC correlated with poor survival and anti-DCLK1 mAb inhibited pancreatic tumor growth <i>in vivo</i> in mouse models.
Equilibrium modulus of model poly(dimethylsiloxane) networks (1981)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTEquilibrium modulus of model poly(dimethylsiloxane) networksM. Gottlieb, C. W. Macosko, G. S. Benjamin, K. O. Meyers, and E. W. MerrillCite this: Macromolecules 1981, 14, 4, 1039–1046Publication Date (Print):July 1, 1981Publication History Published online1 May 2002Published inissue 1 July 1981https://pubs.acs.org/doi/10.1021/ma50005a028https://doi.org/10.1021/ma50005a028research-articleACS PublicationsRequest reuse permissionsArticle Views769Altmetric-Citations174LEARN 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
Tracking multiple people under global appearance constraints (2011)

In this paper, we show that tracking multiple people whose paths may intersect can be formulated as a convex global optimization problem. Our proposed framework is designed to exploit image appearance cues to prevent identity switches. Our method is effective even when such cues are only available at distant time intervals. This is unlike many current approaches that depend on appearance being exploitable from frame to frame. We validate our approach on three multi-camera sport and pedestrian datasets that contain long and complex sequences. Our algorithm perseveres identities better than state-of-the-art algorithms while keeping similar MOTA scores.
3GPP Release 15 Early Data Transmission (2018)

In the 3GPP LTE Release 13, NB-IoT and LTE for Machine-Type Communication (LTE-M) were standardized to provide wide-area connectivity for IoT. The technologies in 3GPP Release 14 evolved beyond the basic functionality specified in Release 13. In 3GPP Release 15 the evolution continues. To optimize the support for infrequent small data packet transmissions, a mechanism for data transmission during the random access procedure is specified for NB-IoT and LTE-M. This mechanism, hereafter referred to as Early Data Transmission (EDT), improves the device battery life and reduces the message latency. This article provides a description of the EDT feature and presents simulated results for the expected battery life and message latency for a set of typical IoT traffic models. For a device in extreme coverage, EDT can enable improved battery life by almost 3 years and reduce message latency by more than 3 seconds compared to the Release 13 performance. Although the absolute gains are highest for devices in challenging radio conditions, significant relative gains are also presented for devices in good coverage.
Figure S2 from Modulation of Endoplasmic Reticulum Stress Controls CD4<sup>+</sup> T-cell Activation and Antitumor Function (2023)

&lt;p&gt;Efficient deletion of gp96 in CD4creHsp90b1flox/flox mice and assessment of TCRvβ chains&lt;/p&gt;
Complement activation in cancer patients undergoing immunotherapy with interleukin-2 (IL-2): binding of complement and C-reactive protein by IL-2-activated lymphocytes (1991)

Plasma samples from cancer patients undergoing immunotherapy with high-dose recombinant interleukin-2 (IL-2) were obtained over a 5-day course of treatment and assayed by radioimmunoassay or enzyme-linked immunosorbent assay for the complement degradation products, C3a, iC3b, Ba, Bb, C4d, and SC5b-9. In the majority of patients, pretreatment C3a, Ba, Bb, and SC5b-9 plasma levels were comparable with those measured in normal donor plasma. However, by the end of the 5-day treatment course, C3a levels had increased 15.6-fold. In several patients, peak concentrations of C3a were as high as those reported in patients with sepsis or burn injury. Plasma levels of alternative pathway components Ba and Bb also increased, 8.0- and 5.0-fold, respectively, during IL-2 treatment. Likewise, levels of one of the terminal complexes, SC5b-9, increased 5.0-fold and the plasma C4d and iC3b concentrations increased 4.8- and 2.9-fold, respectively, by the fifth day of treatment. To determine whether activated lymphocytes participate in IL-2-induced complement activation, peripheral blood mononuclear cells (PBMC) obtained from IL-2 recipients before and 5 days after beginning therapy were reacted with monoclonal antibodies (MoAbs) against C3c and the terminal complement complex SC5b-9. Dual-color cytofluorographic analysis showed that within the CD3(+) population, the percentage of cells binding the anti-C3c and anti-SC5b-9 MoAbs increased 6.2-fold and 5.1-fold, respectively, by day 5. The anti-C3c MoAb also bound to CD3(+) cells stimulated in vitro with IL-2 and then exposed to serum. Moreover, fluid-phase iC3b was generated from purified C3 by PBMC activated in vitro with IL-2, but not by unstimulated cells. Serum levels of C-reactive protein (CRP) are markedly elevated in patients undergoing IL-2 immunotherapy. This hepatic acute phase reactant has been shown to activate the classical pathway when bound to cell surfaces. Because levels of the classical component C4d increase markedly during IL-2 treatment, we sought to determine if CRP became bound to PBMC during IL-2 treatment and found that during therapy, the percentage of CD3(+) cells reactive with an anti-CRP MoAb increased from less than 2% to greater than 18%. When PBMC were activated with IL-2 in vitro and then exposed to exogenous CRP, greater than 20% of the CD3(+) cells reacted with the anti-CRP MoAb.(ABSTRACT TRUNCATED AT 400 WORDS)
Mining specifications (2002)

Program verification is a promising approach to improving program quality, because it can search all possible program executions for specific errors. However, the need to formally describe correct behavior or errors is a major barrier to the widespread adoption of program verification, since programmers historically have been reluctant to write formal specifications. Automating the process of formulating specifications would remove a barrier to program verification and enhance its practicality.This paper describes specification mining, a machine learning approach to discovering formal specifications of the protocols that code must obey when interacting with an application program interface or abstract data type. Starting from the assumption that a working program is well enough debugged to reveal strong hints of correct protocols, our tool infers a specification by observing program execution and concisely summarizing the frequent interaction patterns as state machines that capture both temporal and data dependences. These state machines can be examined by a programmer, to refine the specification and identify errors, and can be utilized by automatic verification tools, to find bugs.Our preliminary experience with the mining tool has been promising. We were able to learn specifications that not only captured the correct protocol, but also discovered serious bugs.
Study of the UV Light Conversion of Feruloyl Amides from Portulaca oleracea and Their Inhibitory Effect on IL-6-Induced STAT3 Activation (2016)

Two new feruloyl amides, N-cis-hibiscusamide (5) and (7'S)-N-cis-feruloylnormetanephrine (9), and eight known feruloyl amides were isolated from Portulaca oleracea L. and the geometric conversion of the ten isolated feruloyl amides by UV light was verified. The structures of the feruloyl amides were determined based on spectroscopic data and comparison with literature data. The NMR data revealed that the structures of the isolated compounds showed cis/trans-isomerization under normal laboratory light conditions. Therefore, cis and trans-isomers of feruloyl amides were evaluated for their convertibility and stability by UV light of a wavelength of 254 nm. After 96 h of UV light exposure, 23.2%-35.0% of the cis and trans-isomers were converted to trans-isomers. Long-term stability tests did not show any significant changes. Among all compounds and conversion mixtures collected, compound 6 exhibited the strongest inhibition of IL-6-induced STAT3 activation in Hep3B cells, with an IC50 value of 0.2 μM. This study is the first verification of the conversion rates and an equilibrium ratio of feruloyl amides. These results indicate that this natural material might provide useful information for the treatment of various diseases involving IL-6 and STAT3.
Energy Efficiency of Massive MIMO: Cell-Free vs. Cellular (2018)

Cell-free Massive MIMO (Multiple Input Multiple Output) employs a large number of AP's (Access Points) that are distributed throughout the intended coverage area to simultaneously serve a much smaller number of user AT's (Access Terminals). Conjugate beamforming is the simplest precoding method for the downlink transmission, and allows decentralized precoding processing. Max-min power control maximizes the minimal effective SINR (Signal-to-Interference-plus-Noise Ratio) among all the active users, therefore provides a uniform throughput to all users. Cell- free Massive MIMO with conjugate beamforming precoding and max-min power control is naturally radiated energy efficient due to two facts: a well-known fact that with high probability at least one AP is nearby every user, and a surprising fact that, with max-min power control, a large portion of the AP's does not transmit with full power. We find that a cell-free Massive MIMO can deliver more than 80 Mb/joule in urban, and more than 40 Mb/joule in suburban and rural scenarios. We compare its energy efficiency and spectral efficiency with single cell Massive MIMO systems and demonstrate that in suburban and rural scenarios, cell-free systems can more than double the radiated energy efficiency and at the same time dramatically increase the 95% likely per user throughput, while in an urban scenario, the gain in radiated energy efficiency can be moderate at less than 50% with a comparable 95% likely per user throughput.
A Library of Monoclonal Antibodies to Escherichia coli K-12 Pyruvate Dehydrogenase Complex (1995)

Presented here are competitive epitope mapping studies on a monoclonal antibody library to K-12 Escherichia coli pyruvate dehydrogenase complex (PDHc) and its pyruvate decarboxylating (EC1.2.4.1) subunit (E1). Several of the monoclonal antibodies had been found to inhibit PDHc from 0 to 98%. Of the 10 monoclonal antibodies that showed the greatest inhibition of PDHc, 4 were elicited by PDHc and 6 by E1. Surface plasmon resonance was used for competitive epitope mapping and revealed that these 10 monoclonal antibodies had at least 6 separate binding regions on the PDHc. The three monoclonal antibodies that demonstrated the strongest inhibition appeared to bind the same region on the PDHc. Mapping studies with the E1 antigen using an additional five monoclonal antibodies demonstrated that the two strongest inhibitory monoclonal antibodies (18A9 and 21C3) shared the same binding region on E1, whereas the third strongest inhibitor (15A9) displayed an epitope region that overlapped the previous two on the E1 subunit. Antibody 15A9 had been shown to counteract GTP regulation of PDHc. Simultaneous multiple site binding experiments confirmed that the defined epitope regions were indeed independent. Limited competitive epitope binding experiments using radiolabeled E1 confirmed the surface plasmon resonance results.
Numerical investigation of deep surge in a centrifugal compressor with vaned diffuser and large plenum (2019)

As the flow rate decreases from stable point to surge point, the complex unsteady flow phenomenon of surge occurs in a centrifugal compressor, which has a significant influence on vast aspects of a compressor. To advance deep understanding of the feature of the deep surge phenomenon, the RANS/URANS numerical simulation is conducted on a centrifugal compressor with a large plenum to analyze the detailed internal flow field in the compressor together with the macroscopic characteristics of the deep surge cycle. The anticlockwise limit cycle obtained from the simulation is firstly analyzed to show the transient characteristics of the stage. Then the variation of blade torque and axial force is presented to show the transient feature in surge cycle together with the proposed prediction of blade torque versus mass flow rate. Meanwhile, there exist different characteristics of the pressure fluctuation along the streamwise direction of the impeller blade, especially the large variation of blade loading near the trailing edge. And the fluctuation of flow field can respectively suppress or promote the hub-corner separation at the process of acceleration or deceleration region, affecting the development of diffuser stall in the surge cycle. The detailed analysis can be helpful to develop the surge model of lumped parameters and determine the effect of surge on impeller blades or downstream components.
Machine-learning-based methods for estimation and stochastic simulation (2018)

This paper presents a novel approach for combining machine learning (data driven) and geostatistical (model-based) algorithms to generate stochastic models of the reservoir. The traditional geostatistical approach to reservoir property modeling is through sequential simulation. However, the traditional sequential simulation algorithms based only on variogram and cross-variogram modeling fails to utilize multiple secondary data sources and to generate complex reservoir properties. Here we present an integrated/hybrid approach where kriging is used to ensure adherence to spatial correlation and random forest is used to constrain the simulation based on secondary sources of data. An important output of this approach is the uncertainty quantification which aids the user in evaluating the simulation. In addition, the method also computes the feature importance of different secondary variables. Presentation Date: Wednesday, October 17, 2018 Start Time: 1:50:00 PM Location: Poster Station 2 Presentation Type: Poster
MTCache: transparent mid-tier database caching in SQL server (2004)

Many applications today run in a multitier environment with browser-based clients, midtier (application) servers and a backend database server. Midtier database caching attempts to improve system throughput and scalability by offloading part of the database workload to intermediate database servers that partially replicate data from the backend server. The fact that some queries are offloaded to an intermediate server should be completely transparent to applications - one of the key distinctions between caching and replication. MTCache is a prototype midtier database caching solution for SQL server that achieves this transparency. It builds on SQL server's support for materialized views, distributed queries and replication. We describe MTCache and report experimental results on the TPC-W benchmark. The experiments show that a significant part of the query workload can be offloaded to cache servers, resulting in greatly improved scale-out on the read-dominated workloads of the benchmark. Replication overhead was small with an average replication delay of less than two seconds.
Effect of interfacial microstructure on lap shear strength of friction stir spot weld of aluminium alloy to magnesium alloy (2010)

In the present study, an attempt was made to join two dissimilar light metal alloys which are becoming increasingly familiar in the automotive industry, i.e. AA5083 aluminium alloy and AZ31 magnesium alloy, by the friction stir spot welding process. Lap welds were produced with various welding parameters, and interfacial microstructures and lap shear strengths of these welds were examined. Friction stir spot welding produced defect-free welds, even though a thick interfacial layer composed mainly of intermetallic compounds was present. The thickness of the interfacial layer did not appear to affect the lap shear strength of the weld, whereas the distribution of intermetallic compounds in the interfacial layer did so. Microstructural factors of the interface governing the lap shear strength of the weld were examined.
Lower Incidence of Dysphagia With Cervical Arthroplasty Compared With ACDF in a Prospective Randomized Clinical Trial (2010)

In a prospective randomized clinical study the incidence of postoperative dysphagia and the long-term resolution of the dysphagia was greatly improved in the PCM group compared with the instrumented ACDF control group.
Sequential Anomaly Detection in Wireless Sensor Networks and Effects of Long-Range Dependent Data (2012)

Abstract Anomaly detection is important for the correct functioning of wireless sensor networks. Recent studies have shown that node mobility along with spatial correlation of the monitored phenomenon in sensor networks can lead to observation data that have long range dependency, which could significantly increase the difficulty of anomaly detection. In this article, we develop an anomaly detection scheme based on multiscale analysis of the long-range dependent traffic to address this challenge. In this proposed detection scheme, the discrete wavelet transform is used to approximately de-correlate the traffic data and capture data characteristics in different timescales. The remaining dependencies are then captured by a multilevel hidden Markov model in the wavelet domain. To estimate the model parameters, we develop an online discounting expectation maximization (EM) algorithm, which also tracks variations of the estimated models over time. Network anomalies are detected as abrupt changes in the tracked model variation scores. Statistical properties of our detection scheme are evaluated numerically using long-range dependent time series. We also evaluate our detection scheme in malicious scenarios simulated using the NS-2 network simulator.