gebhart/patrepeval huggingface dataset:
5-Alkoxy-8-Quinolinamines for the Broad-Spectrum Treatment of Malaria. (1981)

Abstract : Improved means for the chemotherapy of malaria have been achieved with 5-alkoxy-primaquine analogues. These primaquine-related compounds afford improvement in the chemotherapy of malaria by exerting plasmodicial action on malaria parasites which may be present in either the blood, formed tissues, or blood and formed tissues of the mammalian host. Such broad and practical spectrum of effectiveness distinguishes the said primaquine analogues, which may be administered parenterally or perorally to infected animals.
Sensitivity to splicing modulation of BCL2 family genes defines cancer therapeutic strategies for splicing modulators (2019)

Dysregulation of RNA splicing by spliceosome mutations or in cancer genes is increasingly recognized as a hallmark of cancer. Small molecule splicing modulators have been introduced into clinical trials to treat solid tumors or leukemia bearing recurrent spliceosome mutations. Nevertheless, further investigation of the molecular mechanisms that may enlighten therapeutic strategies for splicing modulators is highly desired. Here, using unbiased functional approaches, we report that the sensitivity to splicing modulation of the anti-apoptotic BCL2 family genes is a key mechanism underlying preferential cytotoxicity induced by the SF3b-targeting splicing modulator E7107. While BCL2A1, BCL2L2 and MCL1 are prone to splicing perturbation, BCL2L1 exhibits resistance to E7107-induced splicing modulation. Consequently, E7107 selectively induces apoptosis in BCL2A1-dependent melanoma cells and MCL1-dependent NSCLC cells. Furthermore, combination of BCLxL (BCL2L1-encoded) inhibitors and E7107 remarkably enhances cytotoxicity in cancer cells. These findings inform mechanism-based approaches to the future clinical development of splicing modulators in cancer treatment.
<title>Optically addressed liquid-crystal phase-only modulating spatial light modulator</title> (1993)

An optically addressed liquid crystal phase only spatial light modulator has been developed. The transfer characteristics and the diffraction efficiency of the device are discussed theoretically and experimentally.
The Glycoprotein B Disintegrin-Like Domain Binds Beta 1 Integrin To Mediate Cytomegalovirus Entry (2010)

Cellular integrins were identified as human cytomegalovirus (HCMV) entry receptors and signaling mediators in both fibroblasts and endothelial cells. The goal of these studies was to determine the mechanism by which HCMV binds to cellular integrins to mediate virus entry. HCMV envelope glycoprotein B (gB) has sequence similarity to the integrin-binding disintegrin-like domain found in the ADAM (a disintegrin and metalloprotease) family of proteins. To test the ability of this region to bind to cellular integrins, we generated a recombinant soluble version of the gB disintegrin-like domain (gB-DLD). The gB-DLD protein bound to human fibroblasts in a specific, dose-dependent and saturable manner that required the expression of an intact beta1 integrin ectodomain. Furthermore, a physical association between gB-DLD and beta1 integrin was demonstrated through in vitro pull-down assays. The function of this interaction was shown by the ability of cell-bound gB-DLD to efficiently block HCMV entry and the infectivity of multiple in vivo target cells. Additionally, rabbit polyclonal antibodies raised against gB-DLD neutralized HCMV infection. Mimicry of the ADAM family disintegrin-like domain by HCMV gB represents a novel mechanism for integrin engagement by a virus and reveals a unique therapeutic target for HCMV neutralization. The strong conservation of the DLD across beta- and gammaherpesviruses suggests that integrin recognition and utilization may be a more broadly conserved feature throughout the Herpesviridae.
Novel Large-Hydrophobe Alkoxy Carboxylate Surfactants for Enhanced Oil Recovery (2014)

Summary A new class of surfactants has been developed and tested for chemical enhanced oil recovery (EOR) that shows excellent performance under harsh reservoir conditions. These novel Guerbet alkoxy carboxylate (GAC) surfactants fulfill this need by providing large, branched hydrophobes; flexibility in the number of alkoxylate groups; and stability in both alkaline and nonalkaline environments at temperatures up to at least 120°C. The new carboxylate surfactants were recently manufactured at a cost comparable to other commercial EOR surfactants by use of commercially available feedstocks. A formulation containing the combination of a carboxylate surfactant and a sulfonate cosurfactant resulted in a synergistic interaction that has the potential to reduce the total chemical cost further. One can obtain both ultralow interfacial tension (IFT) with the oils and a clear aqueous solution (even under harsh conditions such as high salinity, high hardness, and high temperature with or without alkali) with these new large-hydrophobe alkoxy carboxylate surfactants. Both sandstone and carbonate corefloods were conducted, with excellent results. Formulations were developed for both active oils (contains naturally occurring carboxylic acids) and inactive oils (oils that do not produce sufficient amounts of soap/carboxylic acid), with excellent results.
Zoomable user interfaces for the authoring and delivery of slide presentations (2003)

Millions of slide presentations are being authored and delivered with computer software every day. Yet much of the computer's power for these tasks remains untapped. Existing interaction techniques leave presenters wrestling with limited size computer displays to get meaningful overviews of their work. Without these overviews, they have trouble finding patterns in their data and experimenting with alternate organizations. They also have difficulty communicating the structure of large or complex talks to the audience and keeping the audience oriented during unexpected transitions between ideas. A natural solution is Zoomable User Interfaces (ZUIs) since they offer the capability to view information at multiple levels of detail and smoothly transition between ideas. This work presents two ZUIs, Niagara and CounterPoint, for authoring and delivering slide presentations. Niagara is a ZUI workspace for authoring presentation content with techniques to improve authoring in the zoomable environment. Empirical evaluations of ZUI-based authoring tools revealed performance improvements and subjective preferences over folder-based interfaces for organization tasks. Users were 30% faster with ZUIs than with folders in completing a simplified shape organization task. Some classes of users were also faster with ZUIs than with folders in completing a text-based organization task. Users performing both tasks exhibited a strong preference for ZUIs over folders. CounterPoint provides a number of features to simplify the creation and delivery of ZUI presentations. The effects of these presentations on the audience were evaluated in a controlled comparison of presentations with slides only, slides with spatial layouts, and slides with spatial layouts and animation. The study revealed a strong subjective preference and higher ratings of organization for presentations with spatial layout. Feedback was also gathered from presenters who used CounterPoint to deliver over 100 real-world presentations. They indicated that CounterPoint helped them communicate overviews and multi-level presentation structures. More experienced CounterPoint presenters also found that CounterPoint helped them keep the audience oriented when navigating the presentation in response to audience feedback.
An unsupervised learning for robust cardiac feature derivation from PPG signals (2016)

We propose here derivation algorithms for physiological parameters like beat start point, systolic peak, pulse duration, peak-to-peak distance related to heart rate, dicrotic minima, diastolic peak from Photoplethysmogram (PPG) signals robustly. Our methods are based on unsupervised learning mainly following morphology as well as discrete nature of the signal. Statistical learning has been used as a special aid to infer most probable feature values mainly to cope up with presence of noise, which is assumed to be insignificant compared to signal values at each investigation window. Performance of the proposed method is found to be better than other standard methods, yielding precision and sensitivity more than 97% obtained from three real life data sets.
Ethanol causes translocation of cAMP-dependent protein kinase catalytic subunit to the nucleus. (1996)

Short- and long-term ethanol exposures have been shown to alter cellular levels of cAMP, but little is known about the effects of ethanol on cAMP-dependent protein kinase (PKA). When cAMP levels increase, the catalytic subunit of PKA (C alpha) is released from the regulatory subunit, phosphorylates nearby proteins, and then translocates to the nucleus, where it regulates gene expression. Altered localization of C alpha would have profound effects on multiple cellular functions. Therefore, we investigated whether ethanol alters intracellular localization of C alpha. NG108-15 cells were incubated in the presence or absence of ethanol for as long as 48 h, and localization of PKA subunits was determined by immunocytochemistry. We found that ethanol exposure produced a significant translocation of C alpha from the Golgi area to the nucleus. C alpha remained in the nucleus as long as ethanol was present. There was no effect of ethanol on localization of the type I regulatory subunit of PKA. Ethanol also caused a 43% decrease in the amount of type I regulatory subunit but had no effect on the amount of C alpha as determined by Western blot. These data suggest that ethanol-induced translocation of C alpha to the nucleus may account, in part, for diverse changes in cellular function and gene expression produced by alcohol.
Trench isolated thick SOI process for various optical and high voltage devices (2013)

By using a trench isolated thick SOI process as base topology various optical and high voltage devices can be designed which are not or hardly possible in pn-junction isolated BCD processes. The trench isolation allows the construction of isolated photodiodes with excellent response even for red and infrared wavelengths. The thick SOI material enables the integration of vertical high voltage devices like NPN bipolar transistors. Together with a special collector design the buried layer and the sinker allow the integration of an IGBT device which is tune able between on-state and switching performance.
A multifunctional pipette (2012)

Microfluidics has emerged as a powerful laboratory toolbox for biologists, allowing manipulation and analysis of processes at a cellular and sub-cellular level, through utilization of microfabricated features at size-scales relevant to that of a single cell. In the majority of microfluidic devices, sample processing and analysis occur within closed microchannels, imposing restrictions on sample preparation and use. We present an optimized non-contact open-volume microfluidic tool to overcome these and other restrictions, through the use of a hydrodynamically confined microflow pipette, serving as a multifunctional solution handling and dispensing tool. The geometries of the tool have been optimised for use in optical microscopy, with integrated solution reservoirs to reduce reagent use, contamination risks and cleaning requirements. Device performance was characterised using both epifluorescence and total internal reflection fluorescence (TIRF) microscopy, resulting in ∼200 ms and ∼130 ms exchange times at ∼100 nm and ∼30 μm distances to the surface respectively.
Development of a New Cytomegalovirus (CMV) Immunoglobulin M (IgM) Immunoblot for Detection of CMV-Specific IgM (1998)

We developed a new cytomegalovirus (CMV) immunoglobulin M (IgM) immunoblot to detect CMV-specific IgM in human sera. The new test contains four viral proteins (vp150, vp82, vp65, and vp28) purified from viral particles and four recombinant proteins (rp150, rp130, rp52, and rp38) purified from Escherichia coli. These antigens were individually loaded onto nitrocellulose strips, and the strips were then used to detect CMV-specific IgM by using a mu-specific conjugate. The new assay was evaluated in parallel with one or two IgM enzyme-linked immunosorbent assays (ELISAs) to test 592 serum samples from different groups of latently or acutely infected individuals. The sensitivity of the new assay with respect to the consensus of two ELISAs was 100%, the specificity was 98.6%, the positive predictive value was 96.9%, and the negative predictive value was 100%. We also evaluated the new test by testing sera from pregnant women and transplant recipients with a known clinical history. Our results suggest that the new test combines high sensitivity with high specificity, characteristics that are mutually exclusive with the other commercially available tests. Furthermore, a statistically significant correlation was observed between the number of IgM-reactive bands and the elevated risk of transmission from CMV-infected pregnant women to their offspring.
Early Identification of Pathogenic Social Media Accounts (2018)

Pathogenic Social Media (PSM) accounts such as terrorist supporters exploit large communities of supporters for conducting attacks on social media. Early detection of these accounts is crucial as they are high likely to be key users in making a harmful message “viral”. In this paper, we make the first attempt on utilizing causal inference to identify PSMs within a short time frame around their activity. We propose a time-decay causality metric and incorporate it into a causal community detection-based algorithm. The proposed algorithm is applied to groups of accounts sharing similar causality features and is followed by a classification algorithm to classify accounts as PSM or not. Unlike existing techniques that take significant time to collect information such as network, cascade path, or content, our scheme relies solely on action log of users. Results on a real-world dataset from Twitter demonstrate effectiveness and efficiency of our approach. We achieved precision of 0.84 for detecting PSMs only based on their first 10 days of activity; the misclassified accounts were then detected 10 days later.
Apolipoprotein A-I<sub>Milano</sub> and Apolipoprotein A-I<sub>Paris</sub> Exhibit an Antioxidant Activity Distinct from That of Wild-Type Apolipoprotein A-I (2002)

Apolipoprotein A-I(Milano) (apoA-I(Milano)) and apoA-I(Paris) are rare cysteine variants of apoA-I that produce a HDL deficiency in the absence of cardiovascular disease in humans. This paradox provides the basis for the hypothesis that the cysteine variants possess a beneficial activity not associated with wild-type apoA-I (apoA-I(WT)). In this study, a unique antioxidant activity of apoA-I(Milano) and apoA-I(Paris) is described. ApoA-I(Milano) was twice as effective as apoA-I(Paris) in preventing lipoxygenase-mediated oxidation of phospholipids, whereas apoA-I(WT) was poorly active. Antioxidant activity was observed using the monomeric form of the variants and was equally effective before and after initiation of oxidative events. ApoA-I(Milano) protected phospholipid from reactive oxygen species (ROS) generated via xanthine/xanthine oxidase (X/Xo) but failed to inhibit X/Xo-induced reduction of cytochrome c. These results indicate that apoA-I(Milano) was unable to directly quench ROS in the aqueous phase. There were no differences between lipid-free apoA-I(Milano,) apoA-I(Paris), and apoA-I(WT) in mediating the efflux of cholesterol from macrophages, indicating that the cysteine variants interacted normally with the ABCA1 efflux pathway. The results indicate that incorporation of a free thiol within an amphipathic alpha helix of apoA-I confers an antioxidant activity distinct from that of apoA-I(WT). These studies are the first to relate gain of function to rare cysteine mutations in the apoA-I primary sequence.
Intelligent Adapter for Simplified Central Monitoring of Network Alarms (2020)

Wide spread network of telecom operators includes multiple device types from multiple vendors. For central network fault monitoring, these devices feed alarms to Network Operating Center (NOC) in multiple formats over SNMP (Simple Network Management Protocol). Standard representation of network alarms is the key for efficient monitoring at NOC by the engineers. Adapters are developed to translate the varied network alarm types and objects into meaningful standard format. The adapter development requires a skilled domain expert, who analyze and configures thousands of alarm types and objects. This is a time consuming, complex and skill dependent task that takes 6-12 weeks for adapter readiness and its integration.Our machine learning based Unified Alarm Mapper (UAM) model (Patent Filed) offers automated approach of alarm analysis, object classification and translation to standardized alarms formats. The model is trained on learnings from realworld data and experience of network integration implementations for few of world's leading telecom operators. The model trained on keywords and definitions of 120,000 different alarm object from 60 different vendors. It classifies alarm objects of new alarm types and auto configures them in standard format. Synonym Vector approach used in the model gives unsupervised learning capability for classification of any future unseen alarm types and their attributes. The self-learning intelligence in the adapter makes it vendor agnostic and avoids need for development of separate adapters and enables near real-time readiness for monitoring at NOC. Overall accuracy of 95% was observed when compared the results with real-world mapped data by domain experts.
Abstract 261: Liver-specific Pcsk9 Knockout And Transgenic Mice (2007)

Background: PCSK9 is primarily expressed in liver and intestine and was recently identified as the third locus implicated in autosomal dominant hypercholesterolemia, after LDLR and APOB. PCSK9 tran...
ChemInform Abstract: Synthesis of Heteroaryl‐Fused Pyrazoles as P38 Kinase Inhibitors. (2010)

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.
Aneroin: New Sea Anemone-originated Silk Protein (2011)

The extraordinary biocompatibility of silk protein is the strongest factor of being used as a novel texture for centuries. With this benefit, usage of silk reaches to the material industry and medical area. Property of silk protein is organism-dependent. To be specific, silk from spider is stronger and tougher than silkworm. The researches for silk protein have been mainly focused on spider and silkworm. In the present work, we investigated new silk-bearing marine organisms to figure out flesh property and possibility of novel silk protein to apply industries. We designed and constructed new silk-like protein (designated to ‘neroin’ from sea anemone. With simple heat shock and acid purification process, we obtained recombinant aneroin successfully. We spun about 50-100 mm of aneroin with no defects by wet spinning. In addition, electrospinning of aneroin was also conducted.
Neighbor Cell Relation List and Physical Cell Identity Self-Organization in LTE (2008)

Automation of radio network management is a key determinant to work reduction for wireless operators. By replacing time consuming and costly tasks with automatic mechanisms, operational expenditure can be reduced. In this paper we present a method for automatic configuration of locally-unique physical cell identities and neighbor cell relation lists in 3G long term evolution (LTE). This method makes use of mobile measurements to update the neighbor cell relation lists in the cells and to detect local cell identity conflicts, report the conflicts to the operation support systems (OSS) and resolve them. The performance of the approach is determined using simulations of realistically deployed macro networks. Conducted simulations illustrate the ability of the method to resolve local cell identity conflicts. In particular, the method is capable of both accommodating new cells and handling a worst case scenario where all cells are initiated with the same local cell identities and where neighbor cell relation lists are empty.
High-Scalability CMOS Quantum Magnetometer with Spin-State Excitation and Detection of Diamond Color Centers (2020)

Magnetometers based on quantum mechanical processes enable high sensitivity and long-term stability without the need for re-calibration, but their integration into fieldable devices remains challenging. This paper presents a CMOS quantum vector-field magnetometer that miniaturizes the conventional quantum sensing platforms using nitrogen-vacancy (NV) centers in diamond. By integrating key components for spin control and readout, the chip performs magnetometry through optically detected magnetic resonance (ODMR) through a diamond slab attached to a custom CMOS chip. The ODMR control is highly uniform across the NV centers in the diamond, which is enabled by a CMOS-generated $\sim$2.87 GHz magnetic field with <5% inhomogeneity across a large-area current-driven wire array. The magnetometer chip is 1.5 mm$^2$ in size, prototyped in 65-nm bulk CMOS technology, and attached to a 300$\times$80 $μ$m2 diamond slab. NV fluorescence is measured by CMOS-integrated photodetectors. This on-chip measurement is enabled by efficient rejection of the green pump light from the red fluorescence through a CMOS-integrated spectral filter based on a combination of spectrally dependent plasmonic losses and diffractive filtering in the CMOS back-end-of-line (BEOL). This filter achieves $\sim$25 dB of green light rejection. We measure a sensitivity of 245 nT/Hz$^{1/2}$, marking a 130$\times$ improvement over a previous CMOS-NV sensor prototype, largely thanks to the better spectral filtering and homogeneous microwave generation over larger area.
High expression of tenascin-C extra domains, markers of angiogenesis, in human lung cancer (2006)

20051 Background: Tumor-associated extracellular matrix molecules are isoforms of proteins with a wide distribution in normal adult tissues, such as fibronectin and tenascin. Large Tenascin-C isoforms are present in almost all normal adult tissues but are upregulated in fetal, regenerating, and neoplastic tissues. In this study we investigated the expression of three tenascin isoforms in tumor tissue samples from lung cancer patients to evaluate the diagnostic and therapeutic value for clinical applications. Methods: In total, 35 corresponding tissue samples (tumor and normal lung tissue of the same patient) have been analyzed by immunohistochemistry using three different human monoclonal antibodies to domains A1 (F16), C (G11) and D (P12). All tumor specimens have been non-small cell lung cancer types. Results: Three isoforms G11, F16 and P12 have exhibited a very intense staining of all types of lung cancer. Almost all samples of squamous cell carcinomas, adenocarcinomas as well as large cell carcinomas have been positively stained. In contrast, none of the corresponding normal lung tissue specimens showed an expression of either tenascin domains. Conclusions: The results show that tenascin-C isoforms are highly expressed around the neovasculature and in the stroma of the majority of non-small cell lung cancers but is undetectable in the normal lung tissue. Therefore these isoforms could represent valuable candidates for the development of antibody based biopharmaceuticals for the treatment of lung cancer. No significant financial relationships to disclose.