gebhart/patrepeval huggingface dataset:
Activation of the human immunodeficiency virus type 1 enhancer is not dependent on NFAT-1 (1992)

The function of a putative NFAT-1 site in the human immunodeficiency virus type 1 enhancer has been analyzed. Activation by the T-cell antigen receptor is minimal in Jurkat cells and is mediated by the kappa B sites. The putative NFAT-1 region is not required for the response to anti-CD3 or to mitogens in T-cell, B-cell, or monocyte/macrophage leukemia lines, nor is it a cis-acting negative regulatory element.
Identification of Cyproheptadine as an Inhibitor of SET Domain Containing Lysine Methyltransferase 7/9 (Set7/9) That Regulates Estrogen-Dependent Transcription (2016)

SET domain containing lysine methyltransferase 7/9 (Set7/9), a histone lysine methyltransferase (HMT), also methylates non-histone proteins including estrogen receptor (ER) α. ERα methylation by Set7/9 stabilizes ERα and activates its transcriptional activities, which are involved in the carcinogenesis of breast cancer. We identified cyproheptadine, a clinically approved antiallergy drug, as a Set7/9 inhibitor in a high-throughput screen using a fluorogenic substrate-based HMT assay. Kinetic and X-ray crystallographic analyses revealed that cyproheptadine binds in the substrate-binding pocket of Set7/9 and inhibits its enzymatic activity by competing with the methyl group acceptor. Treatment of human breast cancer cells (MCF7 cells) with cyproheptadine decreased the expression and transcriptional activity of ERα, thereby inhibiting estrogen-dependent cell growth. Our findings suggest that cyproheptadine can be repurposed for breast cancer treatment or used as a starting point for the discovery of an anti-hormone breast cancer drug through lead optimization.
MspI RFLP for SNRNPE gene on lq (1989)

A 1400bp BamHI/BglII human genomic fragment containing 1891-3296 of the small nuclear ribonucleoprotein polypeptide E (SNRNPE) gene cloned into Bluescribe-(p882EBBg-4) (1). This fragment contains all of exon 2 and portions of introns 1 and 2. No known repetitive elements are present in this clone.
High mobility SiGe shell-Si core omega gate pFETS (2009)

Omega gate type pFETs with SiGe shell-Si core are demonstrated that show 30% mobility enhancement for (110) oriented fins and 46% mobility enhancement for (100) oriented fins compared to Si omega gate devices. Performance improvement is demonstrated because of higher mobility and inherent epitaxial strain, while the external resistance in the two SiGe and Si omega FETs is comparable. Performance can further be improved by uniaxial compressive stress.
Adaptive Antenna Selection Algorithm for Spatial Multiplexing MIMO Systems (2007)

This paper proposes a new adaptive algorithm for antenna selection in Spatial Multiplexing MIMO systems over a fading channel. This algorithm addresses the signal processing computation complexity, which represents the main concern in antenna selection technique's implementation. Indeed, when compared to the optimum antenna selection algorithm, the proposed one showed a significant reduction of the signal processing computation for a limited degradation of the bit-error-rate.
Event based visual attention with dynamic neural field on FPGA (2016)

Dynamic Field Theory (DFT) is an established framework for neuro-modeling or neuro-inspired computing, well suited for challenging perception and motion related tasks. However, their computational requirements, distributed storage and bandwidth needs make them difficult to design for real-world environments. In this paper, the digital hardware implementation of an event-based dynamic neural field for object tracking and attention is presented. To make computation less complex and hardware-friendly, some optimization on the weights and the neuron model were conducted on the Dynamic Neural Field (DNF) model under a spiking-based computation approach. In a proof-of-concept prototype we show how this derived Spiking DNF (SDNF) core can be interfaced to a Dynamic Vision Sensor (DVS) silicon retina and integrated into a more complex architecture able to perform selective attention.
Clathrate colloidal crystals (2017)

DNA-programmable assembly has been used to deliberately synthesize hundreds of different colloidal crystals spanning dozens of symmetries, but the complexity of the achieved structures has so far been limited to small unit cells. We assembled DNA-modified triangular bipyramids (~250-nanometer long edge, 177-nanometer short edge) into clathrate architectures. Electron microscopy images revealed that at least three different structures form as large single-domain architectures or as multidomain materials. Ordered assemblies, isostructural to clathrates, were identified with the help of molecular simulations and geometric analysis. These structures are the most sophisticated architectures made via programmable assembly, and their formation can be understood based on the shape of the nanoparticle building blocks and mode of DNA functionalization.
Supplemental Figure S5 from MORAb-202, an Antibody–Drug Conjugate Utilizing Humanized Anti-human FRα Farletuzumab and the Microtubule-targeting Agent Eribulin, has Potent Antitumor Activity (2023)

&lt;p&gt;Specificity of MORAb-202 cytotoxicity&lt;/p&gt;
Puromycin-Sensitive Aminopeptidase Limits MHC Class I Presentation in Dendritic Cells but Does Not Affect CD8 T Cell Responses during Viral Infections (2008)

Previous experiments using enzyme inhibitors, cell lysates, and purified enzyme have suggested that puromycin-sensitive aminopeptidase (PSA) plays a role in creating and destroying MHC class I-presented peptides although its precise contribution to these processes is unknown. To examine the importance of this enzyme in MHC class I Ag presentation, we have generated PSA-deficient mice and cell lines from these animals. PSA-deficient mice are smaller and do not reproduce as well as wild type mice. In addition, dendritic cells from PSA-deficient mice display more MHC class I molecules on the cell surface, suggesting that PSA normally limits Ag presentation by destroying certain peptides in these key APCs. Surprisingly, MHC class I levels are not altered on other PSA-deficient cells and the processing and presentation of peptide precursors in PSA-deficient fibroblasts is normal. Moreover, PSA-deficient mice have normal numbers of T cells in the periphery, and respond as well as wild type mice to eight epitopes from three viruses. These data indicate that PSA may play a role in limiting MHC class I Ag presentation in dendritic cells in vivo but that it is not essential for generating most MHC class I-presented peptides or for stimulating CTL responses to several Ags.
Symbol-Level Multiuser MISO Precoding for Multi-level Adaptive Modulation: A Multicast View (2016)

Symbol-level precoding is a new paradigm for multiuser downlink systems which aims at creating constructive interference among the transmitted data streams. This can be enabled by designing the precoded signal of the multiantenna transmitter on a symbol level, taking into account both channel state information and data symbols. Previous literature has studied this paradigm for MPSK modulations by addressing various performance metrics, such as power minimization and maximization of the minimum rate. In this paper, we extend this to generic multi-level modulations i.e. MQAM and APSK by establishing connection to PHY layer multicasting with phase constraints. Furthermore, we address adaptive modulation schemes which are crucial in enabling the throughput scaling of symbol-level precoded systems. In this direction, we design signal processing algorithms for minimizing the required power under per-user SINR or goodput constraints. Extensive numerical results show that the proposed algorithm provides considerable power and energy efficiency gains, while adapting the employed modulation scheme to match the requested data rate.
Corrigenda (1996)

I. O. Kady, B. Tan, Z. Ho, T. Scarborough, A. Kraft, A. B. Lowe, N. C. Billingham, S. P. Armes, T. F. J. Lampe and H. M. R. Hoffmann, Chem. Commun., 1996, 2103 DOI: 10.1039/CC9960002103
Spatial Filter Designed Generalized Sidelobe Canceller for Broadband Implementations (1992)

A novel design procedure for the signal blocking matrix in the broadband generalized sidelobe canceller, is proposed. A 1-dimensional spatial filter is devised in order to prevent the target signal ...
Pose Guided Gated Fusion for Person Re-identification (2020)

Person re-identification is an important yet challenging problem in visual recognition. Despite the recent advances with deep learning (DL) models for spatio-temporal and multi-modal fusion, re-identification approaches often fail to leverage the contextual information (e.g., pose and illumination) to dynamically select the most discriminant con-volutional filters (i.e., appearance features) for feature representation and inference. State-of-the-art techniques for gated fusion employ complex dedicated part- or attention-based architectures for late fusion, and do not incorporate pose and appearance information to train the backbone network. In this paper, a new DL model is proposed for pose-guided re-identification, comprised of a deep backbone, pose estimation, and gated fusion network. Given a query image of an individual, the backbone convolutional NN produces a feature embedding required for pair-wise matching with embeddings for reference images, where feature maps from the pose network and from mid-level CNN layers are combined by the gated fusion network to generate pose-guided gating. The proposed framework allows to dynamically activate the most discriminant CNN filters based on pose information in order to perform a finer grained recognition. Extensive experiments on three challenging benchmark datasets indicate that integrating the pose-guided gated fusion into the state-of-the-art re-identification backbone architecture allows to improve their recognition accuracy. Experimental results also support our intuition on the advantages of gating backbone appearance information using the pose feature maps at mid-level CNN layers.
Rapid assessment of nanomaterial homogeneity reveals crosswise structural gradients in zinc-oxide nanowire arrays (2019)

In an effort to scale-up nanomaterial growth over large surface areas, we aim to effectively study the structural non-homogeneities within the arrays of zinc oxide nanowires (ZnO-NWs). The assessment of the lateral gradient of the nanowires' characteristics is presented including their height and surface density. To this end, spectroscopic ellipsometry and the rather recently reported technique of spectral domain attenuated reflectometry are used as two fast, simple and non-invasive characterization methods with further capabilities of scanning over the sample surface. Simple models are proposed by considering ZnO-NWs as the equivalent of thin stratified layers based on the effective medium approach. The methodology not only reveals the presence of gradients, but also enables quantitative analysis for all the samples grown using the hydrothermal method with different growth times ranging from 0.5 h up to 4 h. The gradients are confirmed using scanning electron microscopy (SEM) observations taken as a reference. The results also suggest that the sample orientation during the growth influences the NW growth besides the other parameters already known to affect the growth mechanisms.
The Eccentric Cam: A New Compressor Technology (1984)

A new compressor product is introduced which fulfills the market need for a low cost, high efficiency, durable air conditioning and heat pump compressor for the 1.5 to 2.0 ton capacity range. ·A review of compressor technologies has indicated the optimum compressor for this application would incorporate the durability and versatility of a piston compressor while employing the cost and noise advantage of a fixed vane rotary compressor. To serve this market need, a single cylinder piston compressor has been developed which utilizes both an eccentric cam drive mechanism and a unique assembly concept. Included below is a review of the product design features in terms of efficiency, durability, cost, and noise and vibration. Actual performance results are also given.
Towards consistency oblivious programming (2011)

Abstract. It is well known that guaranteeing program consistency when accessing shared data comes at the price of degraded performance and scalability. This paper initiates the investigation of consistency oblivious programming (COP). In COP, sections of concurrent code that meet certain criteria are executed without checking for consistency. However, checkpoints are added before any shared data modification to verify the algorithm was on the right track, and if not, it is re-executed in a more conservative and expensive consistent way. We show empirically that the COP approach can enhance a software transactional memory (STM) framework to deliver more efficient concurrent data structures from serial source code. In some cases the COP code delivers performance comparable to that of more complex fine-grained structures. 1 Introduction and Related Work The need to maintain consistency when accessing data has been a major source
What Face and Body Shapes Can Tell Us About Height (2019)

Recovering a person's height from a single image is important for virtual garment fitting, autonomous driving and surveillance. However, it is also very challenging without absolute scale information. Here, we examine the rarely addressed case, where camera parameters and scene geometry are all unknown. Under this circumstances, scale is inherently ambiguous, and height can only be inferred from those statistics that are intrinsic to human anatomy and can be estimated from images directly, such as articulated pose, bone-length proportions, and facial features. Our contribution is twofold. First, we create a new human-height dataset that is three magnitudes larger than existing ones, by mining explicit height labels and propagating them to additional images through face recognition and assignment consistency. Second, we test a wide range of machine learning models (linear, shallow, and deep models) to capture the relation between image content and human height. We also show that performance is predominantly limited by dataset size. Our central finding is that height can only be estimated with large uncertainty. The remaining high variance demonstrates that the geometrically motivated scale ambiguity persists into the age of deep learning, which has important implications for how to pose monocular reconstruction, such as 3D human pose estimation, in a scale invariant way.
Practical technology path to sub-0.10-μm process generations via enhanced optical lithography (1999)

An envisioned technology path to sub-0.1 micrometer process generations is first presented. OPC, PSM, and custom illumination apertures are all able to enhance the performance of the optical lithography. By integrating the use of these resolution enhancement technologies, it is possible to develop a production-worthy process that has sufficient overlapping process windows for all feature pitches. Critical dimension control is the key issue for sub-(lambda) process generations. The potential causes that can undermine CD control are discussed, and methods to minimize the problem are proposed. In addition to printing poly gate features, a method to print sub-(lambda) contact/via hole features is described. An outlook for meeting the technology challenges is discussed with conclusions.
An Immersive Video Experience with Real-Time View Synthesis Leveraging the Upcoming MIV Distribution Standard (2020)

The upcoming MPEG Immersive Video (MIV) standard will enable storage and distribution of immersive video content over existing and future networks, for playback with 6 full or partial degrees of freedom of view position and orientation. The demo showcases a VOD server streaming MIV encoded immersive video contents up to a decoding client where an HMD is connected. The user can perceive the parallax as he moves his head (translation, rotation) when seated. The core contribution of the demo is a real-time GPU implementation of the virtual view synthesis at decoder side. An enhanced quality of rendered views is attained through a weighting strategy of source views contributions which leverages standardized metadata conveying information on the pruning decisions at encoder side.
Mycobacterium avium subsp. paratuberculosis PtpA Is an Endogenous Tyrosine Phosphatase Secreted during Infection (2006)

Adaptive gene expression in prokaryotes is mediated by protein kinases and phosphatases. These regulatory proteins mediate phosphorylation of histidine or aspartate in two-component systems and serine/threonine or tyrosine in eukaryotic and eukaryote-like protein kinase systems. The genome sequence of Mycobacterium avium subsp. paratuberculosis, the causative agent of Johne's disease, does not possess a defined tyrosine kinase. Nevertheless, it encodes for protein tyrosine phosphatases. Here, we report that Map1985, is a functional low-molecular tyrosine phosphatase that is secreted intracellularly upon macrophage infection. This finding suggests that Map1985 might contribute to the pathogenesis of Mycobacterium avium subsp. paratuberculosis by dephosphorylating essential macrophage signaling and/or adaptor molecules.
Polarization field engineering of GaN/AlN/AlGaN superlattices for enhanced thermoelectric properties (2014)

A novel polarization field engineering based strategy to simultaneously achieve high electrical conductivity and low thermal conductivity in thermoelectric materials is demonstrated. Polarization based electric fields are used to confine electrons into two-dimensional electron gases in GaN/AlN/Al0.2Ga0.8N superlattices, resulting in improved electron mobilities as high as 1176 cm2/Vs and in-plane thermal conductivity as low as 8.9 W/mK. The resulting room temperature ZT values reach 0.08, a factor of four higher than InGaN and twelve higher than GaN, demonstrating the potential benefits of this polarization based engineering strategy for improving the ZT and efficiencies of thermoelectric materials.
Revisiting the Sample Adaptive Offset post-filter of VVC with Neural-Networks (2021)

The Sample Adaptive Offset (SAO) filter has been introduced in HEVC to reduce general coding and banding artefacts in the reconstructed pictures, in complement to the De-Blocking Filter (DBF) which reduces artifacts at block boundaries specifically. The new video compression standard Versatile Video Coding (VVC) reduces the BD-rate by about 36% at the same reconstruction quality compared to HEVC. It implements an additional new in-loop Adaptive Loop Filter (ALF) on top of the DBF and the SAO filter, the latter remaining unchanged compared to HEVC. However, the relative performance of SAO in VVC has been lowered significantly. In this paper, it is proposed to revisit the SAO filter using Neural Networks (NN). The general principles of the SAO are kept, but the a-priori classification of SAO is replaced with a set of neural networks that determine which reconstructed samples should be corrected and in which proportion. Similarly to the original SAO, some parameters are determined at the encoder side and encoded per CTU. The average BD-rate gain of the proposed SAO improves VVC by at least 2.3% in Random Access while the overall complexity is kept relatively small compared to other NN-based methods.
Sociable killers (2011)

Online video games can be seen as medium for the formation and maintenance of social relationships. In this paper, we explore what social relationships mean under the context of online First-Person Shooter (FPS) games, how these relationships influence game experience, and how players manage them. We combine qualitative interview and quantitative game log data, and find that despite the gap between the non-persistent game world and potentially persistent social relationships, a diversity of social relationships emerge and they play a central role in the enjoyment of online FPS games. We report the forms, development, and impact of such relationships, and discuss our findings in light of design implications and comparison with other game genres.
DPH5, a methyltransferase gene required for diphthamide biosynthesis in Saccharomyces cerevisiae. (1992)

A mutant of Saccharomyces cerevisiae defective in the S-adenosylmethionine (AdoMet)-dependent methyltransferase step of diphthamide biosynthesis was selected by intracellular expression of the F2 fragment of diphtheria toxin (DT) and shown to belong to complementation group DPH5. The DPH5 gene was cloned, sequenced, and found to encode a 300-residue protein with sequence similarity to bacterial AdoMet:uroporphyrinogen III methyltransferases, enzymes involved in cobalamin (vitamin B12) biosynthesis. Both DPH5 and AdoMet:uroporphyrinogen III methyltransferases lack sequence motifs commonly found in other methyltransferases and may represent a new family of AdoMet:methyltransferases. The DPH5 protein was produced in Escherichia coli and shown to be active in methylation of elongation factor 2 partially purified from the dph5 mutant. A null mutation of the chromosomal DPH5 gene did not affect cell viability, in agreement with other studies indicating that diphthamide is not required for cell survival. The dph5 null mutant survived expression of three enzymically attenuated DT fragments but was killed by expression of fully active DT fragment A. Consistent with these results, elongation factor 2 from the dph5 null mutant was found to have weak ADP-ribosyl acceptor activity, which was detectable only in the presence of high concentrations of fragment A.
A Tool for Prioritizing DAGMan Jobs and Its Evaluation (2006)

It is often difficult to perform efficiently a collection of jobs with complex job dependencies due to temporal unpredictability of the grid. One way to mitigate the unpredictability is to schedule job execution in a manner that constantly maximizes the number of jobs that can be sent to workers. A recently developed scheduling theory provides a basis to meet that optimization goal. Intuitively, when the number of such jobs is always large, high parallelism can be maintained, even if the number of workers changes over time in an unpredictable manner. In this paper we present the design, implementation, and evaluation of a practical scheduling tool inspired by the theory. Given a DAGMan input file with interdependent jobs, the tool prioritizes the jobs. The resulting schedule significantly outperforms currently used schedules under a wide range of system parameters, as shown by simulation studies. For example, a scientific data analysis application, AIRSN, was executed at least 13% faster with 95% confidence. An implementation of the tool was integrated with the Condor high-throughput computing system
A simple adaptive first-order differential microphone (2002)

As communication devices become more portable and used in any environment, the acoustic pick-up by electroacoustic transducers will require the combination of small compact transducers and signal-processing to allow high quality communication. This paper covers the design and implementation of a novel adaptive first-order differential microphone. The self-optimization is based on minimizing the microphone output under the constraint that the solitary null for first order systems is located in the rear-half plane. The constraint is simply realized by the judicious subtraction of time-delayed outputs from two closely-spaced omnidirectional microphones. Although the solution presented does not maximize the signal-to-noise ratio, it can significantly improve the signal-to-noise ratio in certain acoustic fields.