gebhart/patrepeval huggingface dataset:
Trajectory-Based Viewport Prediction for 360-Degree Virtual Reality Videos (2018)

Viewport-based adaptive streaming has emerged as the main technique to efficiently stream bandwidth-intensive 360° videos over the best-effort Internet. In viewport-based streaming, only the portion of the video watched by the user is usually streamed at the highest quality, by either using video tiling, foveat-based encoding or similar approaches. To release the full potential of these approaches though, the future position of the user viewport has to be predicted. Indeed, accurate viewport prediction is necessary to minimize quality transitions while the user moves. Current solutions mainly focus on short-term prediction horizons (e.g., less than 2 s), while long-term viewport prediction has received less attention. This paper presents a novel prediction algorithm for the long-term prediction of the user viewport. In the proposed algorithm, the viewport evolution over time of a given user is modeled as a trajectory in the roll, pitch, and yaw angles domain. For a given video, a function is extrapolated to model the evolution of the three aforementioned angles over time, based on the viewing patterns of past users in the system. Moreover, trajectories that exhibit similar viewing behaviors are clustered together, and a different function is calculated for each cluster. The pre-computed functions are subsequently used at run-time to predict the future viewport position of a new user in the system, for the specific video. Preliminary results using a public dataset composed of 16 videos watched on average by 61 users show how the proposed algorithm can increase the predicted viewport area by 13% on average compared to several benchmarking heuristics, for prediction horizons up to 10 seconds.
Multi-Destination Cognitive Radio Relay Network with SWIPT and Multiple Primary Receivers (2017)

In this paper, we study the performance of simultaneous wireless information and power transfer (SWIPT) technique in a multi-destination dual-hop underlay cognitive relay network with multiple primary receivers. Information transmission from the secondary source to destinations is performed entirely via a decode-and-forward (DF) relay. The relay is assumed to have no embedded power source and to harvest energy from the source signal using a power splitting (PS) protocol and employing opportunistic scheduling to forward the information to the selected destination. We derive analytical expressions for the outage probability assuming Rayleigh fading channels and considering the energy harvesting efficiency at relay, the source maximum transmit power and primary receivers interference constraints. The system performance is also studied at high signal-to-noise ratio (SNR) values where approximate expressions for the outage probability are provided and analyzed in terms of diversity order and coding gain. Monte-Carlo simulations and some numerical examples are provided to validate the derived expressions and to illustrate the effect of various system parameters on the system performance. In contrast to their conventional counterparts where a multi-destination diversity is usually achieved, the results show that the multi-destination cognitive radio relay networks with the SWIPT technique achieve a constant diversity order of one.
Synthesis and properties of phosphonic acid-grafted hybrid inorganic–organic polymer membranes (2005)

A class of phosphonic acid-grafted hybrid inorganic–organic polymer membranes was synthesized using a sol–gel process. Their thermal stability, water uptake, and proton conductivity were investigated. TGA–DSC analysis indicated that these membranes are thermally stable up to at least 220 °C in dry air. The proton conductivities of the new membranes increase with –PO3H2 group content and relative humidity, reaching 6.2 × 10−2 S cm−1 at 100 °C with ∼100% relative humidity, comparable to those of Nafion® under similar conditions. These new membranes have high proton conductivity at low relative humidity and thus have great potential to be used as electrolytes for high-temperature, low-humidity PEM fuel cells and other electrochemical applications. The proton conductivity of the membranes in the anhydrous state was enhanced by substitution of –CH2–PO3H2 groups with –CF2–PO3H2 groups owing to the large electron-withdrawing effect of C–F bonds. However, it was found that the concentration of –PO3H2 groups and the molecular structures of the new membranes are the key factors for the proton transport process in a humidified environment.
Teleportation of electronic many-qubit states via single photons (2004)

We propose a teleportation scheme that relies only on single-photon measurements and Faraday rotation, for teleportation of many-qubit entangled states stored in the electron spins of a quantum dot system. The interaction between a photon and the two electron spins, via Faraday rotation in microcavities, establishes Greenberger-Horne-Zeilinger entanglement in the spin-photon-spin system. The appropriate single-qubit measurements, and the communication of two classical bits, produce teleportation. This scheme provides the essential link between spintronic and photonic quantum information devices by permitting quantum information to be exchanged between them.
Techniques for efficient fragment detection in web pages (2003)

The existing approaches to fragment-based publishing, delivery and caching of web pages assume that the web pages are manually fragmented at their respective web sites. However manual fragmentation of web pages is expensive, error prone, and not scalable. This paper proposes a novel scheme to automatically detect and flag possible fragments in a web site. Our approach is based on an analysis of the web pages dynamically generated at given web sites with respect to their information sharing behavior, personalization characteristics and change patterns.
Prospective Clinical Trial of Ixazomib, Dexamethasone, and Rituximab as Primary Therapy in Waldenström Macroglobulinemia (2018)

<b>Purpose:</b> Proteasome inhibition is of proven efficacy in patients with Waldenström macroglobulinemia (WM). However, WM remains incurable with standard treatments. Novel agents, safe and effective, are needed.<b>Patients and Methods:</b> We designed a prospective phase II study evaluating the combination of ixazomib, dexamethasone, and rituximab (IDR) as primary therapy in symptomatic patients with WM. Protocol therapy consisted of oral ixazomib, 4 mg, with intravenous or oral dexamethasone, 20 mg, on days 1, 8, and 15 every 4 weeks for induction cycles 1 and 2, and in combination with intravenous rituximab, 375 mg/m<sup>2</sup>, on day 1, every 4 weeks for cycles 3 to 6. Maintenance therapy followed 8 weeks later with IDR given every 8 weeks for 6 cycles.<b>Results:</b> Twenty-six patients were enrolled. All patients had the MYD88 L265P mutation, and 15 patients (58%) had a CXCR4 mutation. The median time to response was 8 weeks, which was longer (12 weeks) in WM patients with CXCR4 mutations (<i>P</i> = 0.03). The overall response rate was 96%, and the major response rate was 77%. With a median follow-up of 22 months, the median progression-free survival was not reached. Grade ≥2 adverse events reported in >1 patient included infusion-related reactions (19%), rash (8%), and insomnia (8%).<b>Conclusions:</b> IDR offers a highly effective and well tolerated, neuropathy-sparing regimen for primary therapy in patients with WM. This trial is registered at www.clinicaltrials.gov under ID NCT02400437 <i>Clin Cancer Res; 24(14); 3247-52. ©2018 AACR</i>.
Narrow-linewidth semiconductor laser for frequency modulated continuous-wave ladar (1989)

Using external resonant optical feedback,1 we reduced the spectral linewidth of a 10-mW AlGaAs semiconductor laser from its free-running value of 20 MHz to <1 kHz, providing a coherence length of over 100 km. We have employed an all-fiber optic Mach-Zehnder interferometer2,3 to simulate the effects of laser phase noise on high precision ladar SNR. Using this interferometer with a 1.1-km optical fiber, we measured a phase noise limited SNR of 50 dB in a 1-kHz resolution bandwidth.
Early probabilistic noise estimation for capacitively coupled interconnects (2002)

One of the critical challenges in today's high performance IC design is to take noise into account as early as possible in the design cycle. Current noise analysis tools [1, 7} are effective at analyzing and identifying noise in the post-route design stage when detailed parasitic information is available. However, noise problems identified at this stage of design cycle are very difficult to fix due to the limited flexibility in the design and may cause additional iterations of routing and placement, adding costly delays to time-to-market. In this paper, we introduce an estimated, congestion-based pre-route noise analysis approach to identify post-route noise failures before the actual detailed route is completed. We introduce new methods to estimate the RC characteristics of victim and aggressor lines, their coupling capacitances and the aggressor transition times before routing is performed. The approach is based on congestion information obtained from a global router. Since the exact location and relative position of wires in the design is not yet available at this point, we propose a novel probabilistic method for capacitance extraction. We present results on two high performance microprocessors in 0.18μ technology that demonstate the effectiveness of the proposed approac.
Printing of Hydrophobic Materials in Fumed Silica Nanoparticle Suspension (2019)

Freeform three-dimensional (3D) printing of functional structures from liquid hydrophobic build materials is of great significance and widely used in various fields such as soft robotics and microfluidics. In particular, a yield-stress support bath-enabled 3D-printing methodology has been emerging to fabricate complex 3D structures. Unfortunately, the reported support bath materials are either hydrophobic or not versatile enough for the printing of a wide range of hydrophobic materials. The objective of this study is to propose a fumed silica nanoparticle-based yield-stress suspension as a hydrophobic support bath to enable 3D extrusion printing of various hydrophobic ink materials in a printing-then-solidification fashion. Hydrophobic ink is freeform-deposited in a hydrophobic fumed silica-mineral oil suspension and maintains its shape during printing; it is not cured until the whole structure is complete. Various hydrophobic inks including poly(dimethylsiloxane) (PDMS), SU-8 resin, and epoxy-based conductive ink are printed into complex 3D structures in the fumed silica-mineral oil bath and then cured using relevant cross-linking mechanisms, even at a temperature as high as 90 °C, to prove the feasibility and versatility of the proposed printing approach. In addition, the deposited feature can easily reach a much better resolution such as 30 μm for PDMS filaments due to the negligible interfacial tension effect.
A theory of non-Gaussian option pricing (2002)

Harry M Markowitz, president of Harry Markowitz Company; 1990 Nobel Laureate, Economic Sciences; Research Professor of Economics at University of California San Diego.
Antifungal properties of the immunosuppressant FK-506: identification of an FK-506-responsive yeast gene distinct from FKB1. (1991)

FK-506 is a novel and potent antagonist of T-cell activation and an inhibitor of fungal growth. Its immunosuppressive activity can be antagonized by the structurally related antibiotic rapamycin, and both compounds interact with cytoplasmic FK-506-binding proteins (FKBPs) in T cells and yeast cells. In this paper, we show that FK-506 and two analogs inhibit vegetative growth of Saccharomyces cerevisiae in a fashion that parallels the immunosuppressive activity of these compounds. Yeast mutants resistant to FK-506 were isolated, and at least three complementation groups (fkr1, fkr2, and fkr3) were defined. These fkr mutants show no alteration in their levels of FK-506-binding activity. Likewise, strains carrying null alleles of FKB1 (the yeast gene coding for the FKBP) remain FK-506 sensitive, indicating that depletion of yeast FKBP is not sufficient to confer an FK-506 resistance phenotype, although fkb1 null mutants are resistant to rapamycin. FKB1 does not map to the three fkr loci defined here. These results suggest that yeast FKBP mediates the inhibitory effect of rapamycin but that at least one other protein is directly involved in mediating the activity of FK-506. Interestingly, the ability of FK-506 to rescue a temperature-sensitive growth defect of the fkr3 mutant suggests that the FKR3 gene may define such a protein.
Reverse transcriptase from Escherichia coli exists as a complex with msDNA and is able to synthesize double-stranded DNA. (1990)

Reverse transcriptase required for the synthesis of msDNA.Ec67 in an Escherichia coli strain was purified as a large molecular weight complex with msDNA. The complex sedimented in a glycerol gradient at an s value greater than 19. The predominant protein species co-purifying with reverse transcriptase activity in the complex had a molecular weight estimated at 65,000 which is close to the expected size of 67,227 for the Ec67-reverse transcriptase. In addition, the large complex also contained msDNA.Ec67. The purified complex was able to synthesize cDNA using 5 S rRNA as a template (annealed to a synthetic DNA primer), and a double-stranded DNA using a synthetic DNA template (annealed to a synthetic DNA primer). When msDNA.Ec67 was used as a natural template:primer, the purified complex produced two major products: a 103-base single-stranded DNA by extending the 3' end of msDNA using msdRNA as a template, and a 60-base double-stranded DNA product resulting from the converse reaction in which the 3' end of msdRNA is extended using msDNA as a template. The results suggest that bacterial reverse transcriptase is capable of producing single-stranded cDNA and possibly double-stranded DNA as well. Possible implications of these findings on the biology of the msDNA-retron system are discussed.
A Critical Review of Stall Control Techniques in Industrial Fans (2013)

This paper reviews modelling and interpretation advances of industrial fan stall phenomena, related stall detection methods, and control technologies. Competing theories have helped engineers refine fan stability and control technology. With the development of these theories, three major issues have emerged. In this paper, we first consider the interplay between aerodynamic perturbations and instability inception. An understanding of the key physical phenomena that occurs with stall inception is critical to alleviate stall by design or through active or passive control methods. We then review the use of passive and active control strategies to improve fan stability. Whilst historically compressor design engineers have used passive control techniques, recent technologies have prompted them to install high-response stall detection and control systems that provide industrial fan designers with new insight into how they may detect and control stall. Finally, the paper reviews the methods and prospects for early stall detection to complement control systems with a warning capability. Engineers may use an effective real-time stall warning system to extend a fan’s operating range by allowing it to operate safely at a reduced stall margin. This may also enable the fan to operate in service at a more efficient point on its characteristic.
Thermal ablation of the goat mammary gland as a model for post-lumpectomy treatment of breast cancer: Preliminary observations (2009)

An experimental model describing a thermal technique causing necrosis of the goat mammary gland is described.
Abstract 5241: Whole transcriptome TempO-Seq profiling of focal areas of H&E stained FFPE: Differentiation of normal colon and cancer phenotypes between donors (2019)

Abstract Profiling gene expression from small amounts of FFPE using methods that require extraction of RNA from the tissue, such as RNA-seq, have been problematic. We report use of a modification of the whole transcriptome TempO-Seq® assay (Yeakley et al, PLOSone, 2017; DOI:10.1371/journal.pone.0178302) to profile 2 mm2 areas of 5 μm thick FFPE sections by scraping the tissue and assaying lysates directly without extracting the RNA. Duration of fixation and the amount of sample down to a 2 mm2 area do not impact the performance of the assay. Good results can be achieved using FFPE blocks that are up to 30 years old. As a consequence of the ability to assay areas as small as 2 mm2 from H&E stained tissue, we were able to scrape and profile areas of colorectal cancer vs adjacent normal and obtain replicates within donors, and then compare between donors. The assay shows excellent reproducibility, with R2 &gt; 0.95 between biological replicates (separate samples taken from the same patient and lysed/processed separately). While the normal tissues from the patients exhibited a range of expression variability, they all clustered very tightly when analyzed via principal component analysis. The cancer tissue profile from each patient was not only substantially different from the normal tissue profile of that patient, but substantially different from all profiles within the normal tissue cluster of all patients. Furthermore, the cancer tissue profiles were separated into distinct subgroups. Changes in regulatory pathways leading to oncogenesis could be directly distinguished between patients. These results demonstrate the ability to use whole transcriptome TempO-Seq profiling to investigate molecular subtypes of colon cancer using archival FFPE samples. We are expanding the cohort of patients being profiled to investigate these signatures further, and to draw out signatures which allow direct subtype classification purely from expression data. Citation Format: Christy Trejo, Elliot Imler, Milos Babic, Peter Shepard, Raymond Nagle, Joanne Yeakley, Bruce Seligmann. Whole transcriptome TempO-Seq profiling of focal areas of H&E stained FFPE: Differentiation of normal colon and cancer phenotypes between donors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 5241.
Electrokinetic remediation: Technology status (1995)

The demand to develop innovative and cost-effective in-situ remediation technologies in waste management stimulated the effort to employ conduction phenomena in soils using an electric field to remove chemical species from soils. This technique variably named as electrokinetic remediation, electro-reclamation, electrokinetic soil processing, electrochemical decontamination, electrorestoration or electrochemical soil processing uses low-level DC in the order of mA/cm{sub 2} of cross sectional area between the electrodes or an electric potential difference in the order of a few volts per cm across electrodes placed in the ground in an open flow arrangement. The low-level DC results in physico-chemical and hydrological changes in the soil mass leading to species transport by coupled and uncoupled conduction phenomena in the porous media. Electrolysis reactions prevail at the electrodes. The species input into the system at the electrodes (either by the electrolysis reactions, or through the cycling processing fluid) and the species in the pore fluid will be transported across the porous media by conduction phenomena in soils under electric fields. This transport coupled with sorption, precipitation and dissolution reactions comprise the fundamental mechanisms affecting the electrokinetic remediation process. Electrokinetics Inc. of Baton Rouge has completed large-scale pilot studies using spiked and naturally contaminated soilmore » deposits under the USEPA SITE program. In collaboration with the US Army Waterways Experiment Station, Electrokinetics Inc. is currently carrying out a field study of extracting lead from soils at a Firing Range that belongs to the US Army. This demonstration study will be independently evaluated by the USEPA under the SITE program. The purpose of this paper is to present some of the recent developments in this technique and to outline the ongoing activities.« less
Reducing False Alarms with Multi-modal Sensing for Pipeline Blockage (Extended) ∗ (2013)

Industrial sensing applications place a premium on costeffectiveness and accuracy. Traditional approaches often use expensive, invasive sensors, because inexpensive sensors suffer from false positive detections. Sensor cost means automation is sparse or avoided when the value of specific sites cannot be justified. In this paper, we show combining different types of sensors can allow low-cost sensors to avoid false positives, enable much greater levels of automation in some applications. We explore this problem by studying a specific application: blockages in oil flowline common in cold weather. We use pipe skin temperature to infer changes in fluid flow, and combine readings with acoustic data to avoid false positives and be robust to environmental changes. We demonstrate that our approach is effective with field experiments. Finally, suggest that this approach generalizes to other classes of problems where false positives from one sensing modality can be resolved by multi-modal sensing. 1
An ELISA for detection of infectious bursal disease virus and differentiation of very virulent strains based on single chain recombinant chicken antibodies (2005)

Two chicken single-chain variable antibody fragments (scFv) designated scFv154 and scFv88, previously shown to react with either all or very virulent (vv) infectious bursal disease virus (IBDV) strains, respectively, were evaluated for use in an enzyme-linked immunosorbent assay (ELISA) for differentiation of vvIBDV. Specificity and sensitivity of the vvIBDV ELISA was assessed when scFv154 and scFv88 were expressed as soluble antibodies (sAb), phage antibodies (pAb) or hyper-phage antibodies (hpAb). The highest test sensitivity and specificity was obtained using hpAb154 to detect all IBDV and pAb88 to differentiate vvIBDV strains. Such an ELISA was eight to 16 times more sensitive for IBDV antigen detection than the mouse monoclonal antibody ELISA. Using field samples, the scFv ELISA was able to differentiate between flocks infected with vvIBDV and those infected with classical or variant IBDV. In one instance IBDV was detected in a flock found to be negative by the monoclonal antibody ELISA. The results showed that scFv can be utilized as highly specific and sensitive ELISA reagents for the detection and discrimination of avian pathogens.
Belief Dynamics and Biases in Web Search (2015)

We investigate how beliefs about the efficacy of medical interventions are influenced by searchers' exposure to information on retrieved Web pages. We present a methodology for measuring participants' beliefs and confidence about the efficacy of treatment before, during, and after search episodes. We consider interventions studied in the Cochrane collection of meta-analyses. We extract related queries from search engine logs and consider the Cochrane assessments as ground truth. We analyze the dynamics of belief over time and show the influence of prior beliefs and confidence at the end of sessions. We present evidence for confirmation bias and for anchoring-and-adjustment during search and retrieval. Then, we build predictive models to estimate postsearch beliefs using sets of features about behavior and content. The findings provide insights about the influence of Web content on the beliefs of people and have implications for the design of search systems.