gebhart/patrepeval huggingface dataset:
Defining a Testbed for the U.S. Turbine Industry: The National Experimental Turbine (NExT) (2021)

View Video Presentation: https://doi.org/10.2514/6.2021-3489.vid The importance of continued advancements in gas turbine technology for power generation, aviation, and oil and gas applications is critical to reducing the carbon footprint and to the U.S. economy. To reduce the time, costs, and risks involved in making substantial advancements, a collaborative approach with strong support from a federal agency is essential. This paper presents such a collaborative approach among U.S. gas turbine engine manufacturers representing each of the application areas, a turbine design firm, and academia all through strong support by the U.S. Department of Energy’s National Energy Technology Lab. The collaborative effort involves the design, development, manufacturing, and testing of a single stage research turbine referred to as the National Experimental Turbine (NExT). The primary goal for the effort is to develop a modern research turbine for U.S. manufacturers and institutions that provides a platform for acquiring detailed data to be used for new design method development and new design concept validation. Multiple institutions will also be engaged in the project through the DOE University Turbine Systems Research (UTSR) program. Beyond the initial test campaigns that are planned to acquire detailed data for the baseline geometry, collaborating partners will be given opportunities to develop proprietary concepts that can be incorporated into the existing NExT framework thereby reducing time, costs, and risks associated with research programs. This paper provides the background and goals for the NExT project; it describes relevant design practices, identifies collaborating members, introduces the research facility where the NExT will be operated, and provides an overview for measurements defining the initial test programs.
Effect of water activity and temperature on growth of Penicillium citreoviride and Penicillium citrinum on MiGao (rice cake) (2007)

Contamination by mold is a serious problem in steam-cooked rice cake, a traditional Chinese food. Growth responses to different temperatures and water activity values for Penicillium citreoviride and Penicillium citrinum, two of the most common molds, were investigated. Partial least square regression analysis showed that the growth of the two fungi did not differ in response to changes in water activity and temperature. Optimum water activity for growth was 0.90 and optimum temperatures for growth were 30 degrees C in most cases.
Elastic Regression-Tree Learning in a Heterogeneous Computing Environment (2019)

Embedded intelligence demands sensor functions with minimal operator interference. While computing resources in close proximity to a device are sometimes limited, more capable computing units suffer from latency in long-range data transmission. Here, we demonstrate a workflow on optimizing sensor performance for individual samples, in which we utilize an elastic regression-tree method to distribute computing tasks between an embedded chipset and a full-fledged workstation. A reconciliation of computing resources of different nature enables an efficient data acquisition in a completely automated manner, crucial to the deployment of edge intelligence in a broad context.
Real-Time RGB-D Camera Relocalization via Randomized Ferns for Keyframe Encoding (2014)

Recovery from tracking failure is essential in any simultaneous localization and tracking system. In this context, we explore an efficient keyframe-based relocalization method based on frame encoding using randomized ferns. The method enables automatic discovery of keyframes through online harvesting in tracking mode, and fast retrieval of pose candidates in the case when tracking is lost. Frame encoding is achieved by applying simple binary feature tests which are stored in the nodes of an ensemble of randomized ferns. The concatenation of small block codes generated by each fern yields a global compact representation of camera frames. Based on those representations we define the frame dissimilarity as the block-wise hamming distance (BlockHD). Dissimilarities between an incoming query frame and a large set of keyframes can be efficiently evaluated by simply traversing the nodes of the ferns and counting image co-occurrences in corresponding code tables. In tracking mode, those dissimilarities decide whether a frame/pose pair is considered as a novel keyframe. For tracking recovery, poses of the most similar keyframes are retrieved and used for reinitialization of the tracking algorithm. The integration of our relocalization method into a hand-held KinectFusion system allows seamless continuation of mapping even when tracking is frequently lost.
THE NONCODING RNA GECPAR IS INVOLVED IN WNT SIGNALING AND HAS TUMOR‐SUPPRESSOR ACTIVITY IN DIFFUSE LARGE B CELL LYMPHOMA (2019)

Introduction: Enhancers are cell-type specific regulatory DNA regions which play a key role in differentiation and development. Most active enhancers are transcribed in enhancer RNAs that can regulate transcription of relevant target genes by means of in cis but also in trans action. They stabilize contact between distal genomic regions and mediate interaction between DNA and master transcription factors. Here, we characterized an enhancer RNA that we called GECPAR (GErminal Center Proliferative Adapter RNA) in diffuse large B cell lymphoma (DLBCL). Methods: GECPAR expression was characterized in 22 DLBCL cell lines and in a dataset of DLBCL clinical specimens and normal samples from different development stages of B cell. Direct genomic target sequences of GECPAR were determined by CHART-seq experiment and then validated at RNA level after GECPAR silencing in DLBCL cell lines. GECPAR associated signature was identified by gene set enrichment analysis and then confirmed by RNA expression correlation in RNA-seq performed on DLBCL patients. Antiproliferative activity of GECPAR was shown by proliferation assay after GECPAR silencing. Results: Transcribed in the super-enhancer of POU2AF1, a key gene for the regulation of germinal center reaction, GECPAR is an enhancer RNA that we found typically expressed in normal centroblasts but less abundant in GCB-DLBCL and even lower in ABC-DLBCL. This molecule is able to regulate transcription of other genes by in trans activity as demonstrated performing CHART-seq experiments. In two DLBCL cell lines, we identified a list of direct target genes of GECPAR, which we confirmed to be correlated to GECPAR expression also in a RNA-seq dataset of 32 DLBCL patients. Gene set enrichment analysis performed on GECPAR direct targets highlighted its function as transcriptional modulator of genes involved in proliferation and differentiation, including negative regulators of Wnt pathway. Accordingly to this observation, we showed that GECPAR silencing enhanced the proliferation rate of two DLBCL cell lines. Even if the exact mechanism of action of GECPAR is still to be fully elucidated, it appeared to exert its regulatory role through the antagonism with FOXJ2, a transcription factor that we showed to co-localize at the same DNA binding sites with GECPAR. GECPAR and FOXJ2 seem to counteract favoring transcription transactivation by LEF1, the main mediator of Wnt pathway activation. As final evidence of GECPAR role in Wnt pathway inhibition, in ABC-DLBCL cell lines (n=4) the response to treatment with the tankyrase inhibitor AZ6102 resulting in Wnt pathway blockade, correlated to GECPAR expression (p=0.03 R=0.97). Conclusions: GECPAR is an enhancer RNA regulating proliferation in germinal center B cells and has a tumor suppressor activity in DLBCL. Keywords: diffuse large B-cell lymphoma (DLBCL); epigenetics; Wnt.
Hardware Platforms for Flash Memory/NVRAM Software Development (2009)

Flash memory is increasingly being used in a wide range of storage applications because of its low power consumption, low access latency, small form factor, and high shock resistance. However, the current platforms for flash memory software development do not meet the ever-increasing requirements of flash memory applications. This paper presents three different hardware platforms for flash memory/NVRAM (non-volatile RAM) software development that overcome the limitations of the current platforms. The three platforms target different types of host system and provide various features that facilitate the development and verification of flash memory/NVRAM software. In this paper, we also demonstrate the usefulness of the three platforms by implementing three different types of storage system (one for each platform) based on them.
Beyond single core rare earth doped fibers for narrow linewidths: Raman, Brillouin, and Multicore DFB fiber lasers (2018)

Get PDF Email Share Share with Facebook Tweet This Post on reddit Share with LinkedIn Add to CiteULike Add to Mendeley Add to BibSonomy Get Citation Copy Citation Text P. S. Westbrook, T. Kremp, and K. S. Abedin, "Beyond single core rare earth doped fibers for narrow linewidths: Raman, Brillouin, and Multicore DFB fiber lasers," in Advanced Photonics 2018 (BGPP, IPR, NP, NOMA, Sensors, Networks, SPPCom, SOF), OSA Technical Digest (online) (Optica Publishing Group, 2018), paper BW4A.6. Export Citation BibTex Endnote (RIS) HTML Plain Text Citation alert Save article
o-Boronato- and o-Trifluoroborato–Phosphonium Salts Supported by l-α-Amino Acid Side Chain (2015)

The synthesis of o-boronato- and o-trifluoroborato-phosphonium salts supported by the L-amino acid side chain is described. The synthesis of these new class of amino acid derivatives was achieved by stereoselective quaternization of o-(pinacolato)boronatophenylphosphine with β- or γ-iodo amino acid derivatives which are prepared from L-serine or L-aspartic acid, respectively. The quaternization of the phosphine was performed using either iodo amino ester or carboxylic acid derivatives. In addition, free carboxylic acid and amine derivatives were obtained by saponification or HCl acidolysis of o-boronato-phosphonium amino esters, respectively. The usefulness of these compounds in peptide coupling was demonstrated by coupling an o-boronato-phosphonium amino ester with an aspartic acid moiety. When the o-boronato-phosphonium amino acid or dipeptide derivatives were mixed with fluoride, the corresponding o-trifluoroborated products were cleanly and rapidly obtained in high isolated yields. The hydrolysis of these compounds at room temperature using a phosphate buffer pH 7/CD3CN mixture has shown only traces of free fluoride F(-) after several days. Finally, a preliminary radiolabeling essay has proven the facile [(18)F]-fluoride incorporation and high stability of the radiolabeled product in aqueous conditions. Indeed, this new class of boron-phosphonium amino acid derivatives shows promising properties for their applications in synthesis and labeling of peptides.
Synthesis of zero-admittance converter (1995)

A method of synthesizing a power conversion system which converts a finite value of an admittance to zero, with associated finite voltage and zero current, is presented. The synthesis method comprises a positive voltage feedback within a negative current feedback. The positive feedback loop incorporates a block of exactly specified nature and value of its transfer function providing for the zero-admittance algorithm. The negative feedback loop controls stability and dynamics of the system. A particular derivation of the zero-admittance power converter is applied in synthesizing a load-independent constant-current switch-mode power converter.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
Using a single-channel reference with the MBSTOI binaural intelligibility metric (2023)

In order to assess the intelligibility of a target signal in a noisy environment, intrusive speech intelligibility metrics are typically used. They require a clean reference signal to be available which can be difficult to obtain especially for binaural metrics like the modified binaural short time objective intelligibility metric (MBSTOI). We here present a hybrid version of MBSTOI that incorporates a deep learning stage that allows the metric to be computed with only a single-channel clean reference signal. The models presented are trained on simulated data containing target speech, localised noise, diffuse noise, and reverberation. The hybrid output metrics are then compared directly to MBSTOI to assess performances. Results show the performance of our single channel reference vs MBSTOI. The outcome of this work offers a fast and flexible way to generate audio data for machine learning (ML) and highlights the potential for low level implementation of ML into existing tools. • MBSTOI-like binaural intelligibility metrics needing only a single-channel reference. • DEC-MBSTOI and Dcor-MBSTOI use machine learning for equalisation-cancellation stage. • Rapid generation of audio datasets in dynamic scenes using tascar .
High‐speed multicolor microscopy of repeating dynamic processes (2011)

Images of multiply labeled fluorescent samples provide unique insights into the localization of molecules, cells, and tissues. The ability to image multiple channels simultaneously at high speed without cross talk is limited to a few colors and requires dedicated multichannel or multispectral detection procedures. Simpler microscopes, in which each color is imaged sequentially, produce a much lower frame rate. Here, we describe a technique to image, at high frame rate, multiply labeled samples that have a repeating motion. We capture images in a single channel at a time over one full occurrence of the motion then repeat acquisition for other channels over subsequent occurrences. We finally build a high-speed multichannel image sequence by combining the images after applying a normalized mutual information-based time registration procedure. We show that this technique is amenable to image the beating heart of a double-labeled embryonic quail in three channels (brightfield, yellow, and mCherry fluorescent proteins) using a fluorescence wide-field microscope equipped with a single monochrome camera and without fast channel switching optics. We experimentally evaluate the accuracy of our method on image series from a two-channel confocal microscope.
Cancer-associated fibroblast-secreted glucosamine alters the androgen biosynthesis program in prostate cancer via HSD3B1 upregulation (2023)

After androgen deprivation, prostate cancer frequently becomes castration resistant (CRPC), with intratumoral androgen production from extragonadal precursors that activate the androgen receptor pathway. 3β-Hydroxysteroid dehydrogenase-1 (3βHSD1) is the rate-limiting enzyme for extragonadal androgen synthesis, which together lead to CRPC. Here, we show that cancer-associated fibroblasts (CAFs) increased epithelial 3βHSD1 expression, induced androgen synthesis, activated the androgen receptor, and induced CRPC. Unbiased metabolomics revealed that CAF-secreted glucosamine specifically induced 3βHSD1. CAFs induced higher GlcNAcylation in cancer cells and elevated expression of the transcription factor Elk1, which induced higher 3βHSD1 expression and activity. Elk1 genetic ablation in cancer epithelial cells suppressed CAF-induced androgen biosynthesis in vivo. In patient samples, multiplex fluorescent imaging showed that tumor cells expressed more 3βHSD1 and Elk1 in CAF-enriched areas compared with CAF-deficient areas. Our findings suggest that CAF-secreted glucosamine increases GlcNAcylation in prostate cancer cells, promoting Elk1-induced HSD3B1 transcription, which upregulates de novo intratumoral androgen synthesis to overcome castration.
DDX3 is exploited by Arenaviruses to suppress type I interferons and favor their replication (2017)

ABSTRACT Several arenaviruses cause hemorrhagic fever (HF) diseases that are associated with high morbidity and mortality in humans. Accordingly, HF arenaviruses have been listed as top-priority emerging diseases for which countermeasures are urgently needed. Because arenavirus nucleoprotein (NP) plays critical roles in both virus multiplication and immune-evasion, we used an unbiased proteomic approach to identify NP-interacting proteins in human cells. DDX3, a DEAD-box ATP-dependent-RNA-helicase, interacted with NP in both NP-transfected and virus-infected cells. Importantly, DDX3 deficiency compromised the propagation of both Old and New World arenaviruses, including the HF arenaviruses Lassa and Junin viruses. The DDX3 role in promoting arenavirus multiplication correlated with both a previously un-recognized DDX3 contribution to type I interferon suppression in arenavirus infected cells and a positive effect of DDX3 on viral RNA synthesis. Our results uncover novel mechanisms used by arenavirus to exploit the host machinery and subvert immunity, singling out DDX3 as a potential host target for developing new therapies against highly pathogenic arenaviruses. AUTHOR SUMMARY Arenaviruses include severe clinical pathogens causing hemorrhagic fevers and have been recently incorporated by the World Health Organization in a list of critical emerging diseases for which additional research and identification of clinical targets is urgently required. A better understanding of how viral proteins interact with host cellular factors to favor arenavirus multiplication can illuminate novel pipelines on therapeutic strategies. Here we demonstrated that the ATP-dependent RNA helicase DDX3 interacted with the arenavirus nucleoprotein, which displays fundamental functions in different steps of the viral-cycle. Our work also revealed an unexpected new biology on the role that DDX3 might play during viral infections. In sharp contrast to previous studies showing DDX3 enhancement of IFN-I induction, we demonstrated that DDX3 suppressed IFN-I production at late time points after arenavirus infection, contributing to a DDX3 pro-viral effect. We also showed that early after infection, DDX3 pro-viral role was IFN-I independent and was mediated by DDX3 facilitation of viral RNA synthesis without affecting RNA translation. Altogether, our study established DDX3 as a critical host interacting partner of the arenavirus nucleoprotein and demonstrated two previously unrecognized DDX3-dependent strategies by which these deadly viruses exploit the host cellular machinery and suppress immunity.
Continuous Phase Modulation as an Alternative to QPSK for 100 Gb/s Optical Links (2010)

Constant envelope formats including CPM may reduce the impact of nonlinear impairments arising from intensity variations and the associated nonlinear phase noise. We quantify the advantages of CPM versus QPSK and identify possible deployment opportunities.
OSCAR: A Semantic-based Data Binning Approach (2022)

Binning is applied to categorize data values or to see distributions of data. Existing binning algorithms often rely on statistical properties of data. However, there are semantic considerations for selecting appropriate binning schemes. Surveys, for instance, gather respondent data for demographic-related questions such as age, salary, number of employees, etc., that are bucketed into defined semantic categories. In this paper, we leverage common semantic categories from survey data and Tableau Public visualizations to identify a set of semantic binning categories. We employ these semantic binning categories in OSCAR: a method for automatically selecting bins based on the inferred semantic type of the field. We conducted a crowdsourced study with 120 participants to better understand user preferences for bins generated by OSCAR vs. binning provided in Tableau. We find that maps and histograms using binned values generated by OSCAR are preferred by users as compared to binning schemes based purely on the statistical properties of the data.
Listening as your neighbors: Simulation and evaluation of building structural transmission (2013)

The enjoyment of music can be jeopardized by the knockings on the door and your furious neighbor shows up. Building structural transmission passes annoying sound to neighbors even when the audio is at low volume. In this paper, we implement a computational model for the simulation and evaluation of building structural transmission based on field measurements of structural transmission profiles and subjective listening tests. This model is intended to serve as a signal analysis tool that allows the audio engineers to evaluate the interference level using computer software and monitor system, so they can assess and mitigate these interferences without the need of conducting tedious subjective evaluation experiments in real acoustical environments. Our proposed transmission models are summarized from multiple acoustical measurements conducted in real room pairs to ensure its authenticity. Essentially we build “virtual” room pairs so we can simulate the interferences reaching the neighbors. We also implement a computational auditory model based on audio content analysis and subjective evaluation experiments to automatically evaluate the interference level caused by the transmitted sound. The proposed simulation and evaluation tool finds extensive applications in various areas of audio engineering such as audio content production, noise control, and audio system design.
Induction of cytotoxic effector cells towards cholangiocellular, pancreatic, and colorectal tumor cells by activation of the immune checkpoint CD40/CD40L on dendritic cells (2020)

Stimulation of the immune checkpoint CD40L/CD40 by endogenous expression of (m)CD40L provokes a cellular interaction, which increases the immunomodulatory capacity of DC. A Th1 cytokine/chemokine expression is induced, leading to a significant proliferation and enabling cytotoxicity of effector cells towards human bile duct, pancreatic and colorectal tumor cells. The present data point to the promising approach for DC-based immunotherapy of gastrointestinal malignances by activating the CD40/CD40L immune checkpoint.
5G-Based Systems Design for Tactile Internet (2018)

Tactile internet is defined as a network that offers a response to a physical process or an object in perceived real time. The development of new radio (NR) and long-term evolution (LTE) technologies with tailored high-reliability and low-latency design is expected to reliably transmit data in milliseconds, leading to the promising realization of tactile internet with applications in areas such as factory automation, education, gaming, and healthcare. In this paper, from a physical layer and medium-access control (PHY/MAC) perspective, we discuss the systems design of ultrareliable and low-latency communications (URLLC) in NR and LTE technologies, both belonging to the fifth-generation (5G) wireless technologies. Motivated by the safety and privacy requirements of tactile internet, we also outline the 5G security landscape, major categories of attackers, and potential countermeasures. Finally, we provide a case study of factory automation as an example of the proposed 5G-based tactile internet.
Enzyme from the medicinal leech (Hirudo medicinalis) that specifically splits endo‐ϵ(‐γ‐Glu)‐Lys isopeptide bonds: cDNA cloning and protein primary structure (1996)

Earlier we detected a novel enzymatic activity in salivary gland secretion of the medicinal leech, splitting isopeptide bonds between the glutamine gamma-carboxamide and lysine epsilon-amino group. This activity is due to destabilase. We described its partial amino acid sequence and sequences to two closely related cDNAs, but none of them perfectly matched the protein isolated. Here we report the isolation and sequence peculiarities of the third cDNA of the family as well as the complete sequence of the destabilase protein. The inferred mature protein product of this cDNA matches the independently determined destabilase protein sequence. It contains 115 amino acid residues including 14 highly conserved Cys residues and is formed from a precursor containing specific leader peptide.