gebhart/patrepeval huggingface dataset:
Example-based Rendering of Hand-drawn Content (2017)

In this dissertation, we focus on the capabilities of example-based synthesis with a&#13;\nparticular interest in hand-drawn appearance. We propose several approaches for creating&#13;\nnew digital imagery from examples without making any domain-speci c assumptions&#13;\nand being media-agnostic. New methods for content-creation and non-photorealistic stylization&#13;\nare presented together with examples of their practical usage in contemporary&#13;\ndigital production pipelines.
Commentary on Prognostic Factors in Renal Cell Carcinoma (1995)

No AccessJournal of UrologyClinical Urology: This Month in Investigative Urology1 Oct 1995Commentary on Prognostic Factors in Renal Cell Carcinoma Arie Belldegrun, John R. Franklin, and Robert Figlin Arie BelldegrunArie Belldegrun More articles by this author , John R. FranklinJohn R. Franklin More articles by this author , and Robert FiglinRobert Figlin More articles by this author View All Author Informationhttps://doi.org/10.1016/S0022-5347(01)66838-1AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "Commentary on Prognostic Factors in Renal Cell Carcinoma." The Journal of Urology, 154(4), p. 1274 References 1 : Prognostic factors for survival in patients with recurrent or metastatic renal cell carcinoma.. Cancer Res.1988; 48: 7310. Google Scholar 2 : Prognostic factors and survival in patients with metastatic renal cell carcinoma treated with chemotherapy or interferon-alpha. Eur. J. Cancer1994; 30A: 1310. Google Scholar 3 : In vivo tumor necrosis factor-alpha as indicator of biologic and clinical response to low-dose SC recombinant interleukin-2.. Anticancer Res.1995; 15: 127. Google Scholar 4 : Identification of a human melanoma antigen recognized by tumor infiltrating lymphocytes associated with in vivo tumor rejection. Proc. Natl. Acad. Sci. U.S.A.1994; 91: 6458. Google Scholar © 1995FiguresReferencesRelatedDetailsCited byStief C, Jahne J, Hagemann J, Kuczyk M and Jonas U (2018) Surgery for Metachronous Solitary Liver Metastases of Renal Cell CarcinomaJournal of Urology, VOL. 158, NO. 2, (375-377), Online publication date: 1-Aug-1997. Volume 154Issue 4October 1995Page: 1274 Advertisement Copyright & Permissions© 1995Metrics Author Information Arie Belldegrun More articles by this author John R. Franklin More articles by this author Robert Figlin More articles by this author Expand All Advertisement PDF downloadLoading ...
The Genome Revolution in Vaccine Research (2004)

The conventional approach to vaccine development is based on dissection of the pathogen using biochemical, immunological and microbiological methods. Although successful in several cases, this approach has failed to provide a solution to prevent several major bacterial infections. The availability of complete genome sequences in combination with novel advanced technologies, such as bioinformatics, microarrays and proteomics, have revolutionized the approach to vaccine development and provided a new impulse to microbial research. The genomic revolution allows the design of vaccines starting from the prediction of all antigens in silico, independently of their abundance and without the need to grow the pathogen in vitro. This new genome-based approach, which we have named "Reverse Vaccinology", has been successfully applied for Neisseria meningitidis serogroup B for which conventional strategies have failed to provide an efficacious vaccine. The concept of "Reverse Vaccinology" can be easily applied to all the pathogens for which vaccines are not yet available and can be extended to parasites and viruses.
SSCFI: Autonomous Fault Isolation in Communications Circuits. (1996)

SSCFI2 is a rulebased expert system that diagnoses problems in a wide variety of that is, telephone circuits other than regular switched business and residential lines. Special circuits are significantly more complex than regular circuits, and hence more difficult to diagnose. SSCFI diagnoses problems by recursively partitioning the circuit until the responsible fault is isolated. SSCFI selects which circuit to work on, reads its design, selects and initiates analog and digital tests via remotely-activated test equipment, interprets the results of each test in the context of the circuit design, and when done, writes out a detailed description of the problem found and routes it to the party responsible for its repair. SSCFI is entirely autonomous in operation.

SSCFI has become an essential element of GTE's special circuit maintenance operations. It has been in service since 1991 and has been in operation at all GTE's US sites since 1994. SSCFI testing saves millions of dollars annually and significantly improves the uniformity of testing and quality of the resulting diagnoses.

This paper discusses the domain, architecture, and development of the SSCFI system, and the key factors and techniques that made it successful. Lastly, two current projects building on SSCFI's expertise are discussed - interactive test assistance and automatic design database cleanup.12
Scalable Micro-Optical Modules for Short-Distance VLSI-Photonic Interconnections (2000)

Fiber optics and free-space optoelectronic technologies have been widely investigated as means to alleviate data communication bottlenecks at the machineto- machine, back-plane and board-to-board interconnection level. Recent breakthroughs in the fabrication of spatial arrays of optoelectronic emitters and detectors and their heterogeneous integration with Si-CMOS electronic chips now also encourage the use of photonics as a wire replacement technology at the inter- and intra-multichip-module (MCM) interconnection level. With this approach one aims to increase the communication functions between the latter electronic processing modules, relaxing their bandwidth limitations. These limitations are primarily imposed by fundamental electrical signal propagation issues and the limited number of electrical chip pin-outs.
Ultrasensitive capture of human herpes simplex virus genomes directly from clinical samples reveals extraordinarily limited evolution in cell culture (2018)

Abstract Herpes simplex viruses (HSV) are difficult to sequence due to their large DNA genome, high GC content, and the presence of repeats. To date, most HSV genomes have been recovered from culture isolates, raising concern that these genomes may not accurately represent circulating clinical strains. We report the development and validation of a DNA oligonucleotide hybridization panel to recover near complete HSV genomes at abundances up to 50,000-fold lower than previously reported. Using copy number information on herpesvirus and host DNA background via quantitative PCR, we developed a protocol for pooling for cost-effective recovery of more than 50 HSV-1 or HSV-2 genomes per MiSeq run. We demonstrate the ability to recover &gt;99% of the HSV genome at &gt;100X coverage in 72 hours at viral loads that allow whole genome recovery from latently-infected ganglia. We also report a new computational pipeline for rapid HSV genome assembly and annotation. Using the above tools and a series of 17 HSV-1-positive clinical swabs sent to our laboratory for viral isolation, we show limited evolution of HSV-1 during viral isolation in human fibroblast cells compared to the original clinical samples. Our data indicate that previous studies using low passage clinical isolates of herpes simplex viruses are reflective of the viral sequences present in the lesion and thus can be used in phylogenetic analyses. We also detect superinfection within a single sample with unrelated HSV-1 strains recovered from separate oral lesions in an immunosuppressed patient during a 2.5-week period, illustrating the power of direct-from-specimen sequencing of HSV. Importance Herpes simplex viruses affect more than 4 billion people across the globe, constituting a large burden of disease. Understanding global diversity of herpes simplex viruses is important for diagnostics and therapeutics as well as cure research and tracking transmission among humans. To date, most HSV genomics has been performed on culture isolates and DNA swabs with high quantities of virus. We describe the development of wet-lab and computational tools that enable the accurate sequencing of near-complete genomes of HSV-1 and HSV-2 directly from clinical specimens at abundances &gt;50,000-fold lower than previously sequenced and at significantly reduced cost. We use these tools to profile circulating HSV-1 strains in the community and illustrate limited changes to the viral genome during the viral isolation process. These techniques enable cost-effective, rapid sequencing of HSV-1 and HSV-2 genomes that will help enable improved detection, surveillance, and control of this human pathogen.
An Auto Encoder For Audio Dolphin Communication (2020)

Research in dolphin communication and cognition requires detailed inspection of audible dolphin signals. The manual analysis of these signals is cumbersome and time-consuming. We seek to automate parts of the analysis using modern deep learning methods. We propose to learn an autoencoder constructed from convolutional and recurrent layers trained in an unsupervised fashion. The resulting model embeds patterns in audible dolphin communication. In several experiments, we show that the embeddings can be used for clustering as well as signal detection and signal type classification.
Transfert de chaleur dans un procédé de soudage de films polymères (2019)

International audience
A random walk approach to sampling hidden databases (2007)

A large part of the data on the World Wide Web is hidden behind form-like interfaces. These interfaces interact with a hidden back-end database to provide answers to user queries. Generating a uniform random sample of this hidden database by using only the publicly available interface gives us access to the underlying data distribution. In this paper, we propose a random walk scheme over the query space provided by the interface to sample such databases. We discuss variants where the query space is visualized as a fixed and random ordering of attributes. We also propose techniques to further improve the sample quality by using a probabilistic rejection based approach. We conduct extensive experiments to illustrate the accuracy and efficiency of our techniques.
Proceedings of the 1st workshop on Automated control for datacenters and clouds (2009)

We are pleased to welcome you to the first Workshop on Automated Control for Datacenters and Clouds (ACDC'09) -- co-located with the 6th International Conference on Autonomic Computing. Over the past years, large server farms--from enterprise datacenters and giant-scale Internet services to utility and public cloud computing-have become a critical part of the execution platform for many of today's software programs. Interactive web services, business workflows, large-scale batch data processing, and many scientific computations all run on platforms built atop these large server farms. While these systems differ in many ways, they share many common challenges, such as the desire to maximize efficiency and performance while maintaining predictable behavior, power efficiency and fairness, and at the same time responding appropriately to environmental and system changes such as hardware failures and changes in workload. The goal of this workshop is to broadly explore the similarities and differences in current and future automated techniques for reasoning about and orchestrating the behaviors of these large scale systems.

The program committee accepted 9 papers spanning a variety of topics, from the area of virtual machine usage in server farms, to techniques for improving power-efficiency and performance management. In addition, the program includes a keynote speech by John Wilkes entitled Automating Trade-offs. We hope that the proceedings of this workshop provide a valuable reference for researchers in the area of automated control of datacenters, clouds, and other large server farm environments.
Finite States Model Predictive Control for Shunt Active Filters (2011)

This paper investigates the application of Model Predictive control to Shunt Active Power Filter (SAF). The converter topology, its analytical modeling and its control implementation are described. To compensate the inherent delay of digital control systems, prediction of relevant variables and reference calculation is performed two steps forward. The proposed approach provides a straightforward and effective single loop solution, with excellent dynamic performance, not requiring grid synchronization or PWM schemes. Significant simulation results are finally reported and commented.
The Oncoprotein SKI Acts as A Suppressor of NK Cell-Mediated Immunosurveillance in PDAC (2020)

Drugs targeting epigenetic mechanisms such as histone deacetylase inhibitors (HDACi) suppress tumor growth. HDACi also induce the expression of ligands for the cytotoxicity receptor NKG2D rendering tumors more susceptible to natural killer (NK) cell-dependent killing. The major acetylases responsible for the expression of NKG2D ligands (NKG2D-L) are CBP and p300. The role of the oncogene and transcriptional repressor SKI, an essential part of an HDAC-recruiting co-repressor complex, which competes with CBP/p300 for binding to SMAD3 in TGFβ signaling, is unknown. Here we show that the siRNA-mediated downregulation of <i>SKI</i> in the pancreatic cancer cell lines Panc-1 and Patu8988t leads to an increased target cell killing by primary NK cells. However, the higher cytotoxicity of NK cells did not correlate with the induction of NKG2D-L. Of note, the expression of NKG2D-L and consequently NK cell-dependent killing could be induced upon LBH589 (LBH, panobinostat) or valproic acid (VPA) treatment irrespective of the SKI expression level but was significantly higher in pancreatic cancer cells upon genetic ablation of <i>SKI</i>. These data suggest that SKI represses the inducible expression of NKG2D-L. The combination of HDACi with NK cell-based immunotherapy is an attractive treatment option for pancreatic tumors, specifically for patients with high SKI protein levels.
Crazy Sequential Representations: Fill the Gaps (09) (2019)

Abstract not available.
Degradation mechanisms in Germanium Electro-Absorption Modulators (2022)

Reliability analysis on Ge Electro-Absorption Modulators suggest that different physical mechanisms are involved in the dark current degradation during electrical stress. An "incubation time" followed by a power-law dependent dark current increase suggests the filling of pre-existing defects and the creation of traps at the Ge/Si and Ge/Ox interface. Even though the dark current degrades during reliability testing, actual failures are not expected to happen at nominal operation conditions and times. Finally, performance evaluation after more than 4000h of electrical stress, reveals no degradation of the electro-optical parameters.
Background-oriented schlieren visualization of heating and ventilation flows: HVAC-BOS (2011)

Abstract There is an important need for simple methods to visualize and measure whole-field airflow patterns in the HVAC field. The background-oriented schlieren (BOS) method is presented here as an answer to this need—a simple and effective method for visualizing refractive HVAC flowfields in situ. The equipment required is simple, portable, inexpensive, and readily available, thus superseding some previous approaches, including lens-and-grid schlieren techniques that require large fixed installations. For BOS a custom random-dot background pattern is used, and imaging is done by a consumer-grade digital single-lens-reflex (SLR) camera. After covering the principles of BOS, examples are shown of visualized airjets and plumes from heating vents and registers, a space-heater, a teakettle, and a human thermal plume and cough. BOS images of candle plumes are also used to explore several different visualization approaches, equipment arrangements, and image color scales. While current results are purely-qualitative visualizations, quantitative temperature measurements can also be made in certain cases where the flow is approximately two dimensional. Finally, BOS lends itself well to certain HVAC chores, such as the diagnosis of commercial kitchen ventilation airflows. Acknowledgments Michael J. Hargather, PhD, is Research Associate. Gary S. Settles, PhD, ASHRAE Member, is Distinguished Professor of Mechanical Engineering and Director of the Gas Dynamics Laboratory.
Transition states of native and drug-resistant HIV-1 protease are the same (2012)

HIV-1 protease is an important target for the treatment of HIV/AIDS. However, drug resistance is a persistent problem and new inhibitors are needed. An approach toward understanding enzyme chemistry, the basis of drug resistance, and the design of powerful inhibitors is to establish the structure of enzymatic transition states. Enzymatic transition structures can be established by matching experimental kinetic isotope effects (KIEs) with theoretical predictions. However, the HIV-1 protease transition state has not been previously resolved using these methods. We have measured primary (14)C and (15)N KIEs and secondary (3)H and (18)O KIEs for native and multidrug-resistant HIV-1 protease (I84V). We observed (14)C KIEs ((14)V/K) of 1.029 ± 0.003 and 1.025 ± 0.005, (15)N KIEs ((15)V/K) of 0.987 ± 0.004 and 0.989 ± 0.003, (18)O KIEs ((18)V/K) of 0.999 ± 0.003 and 0.993 ± 0.003, and (3)H KIEs ((3)V/K) KIEs of 0.968 ± 0.001 and 0.976 ± 0.001 for the native and I84V enzyme, respectively. The chemical reaction involves nucleophilic water attack at the carbonyl carbon, proton transfer to the amide nitrogen leaving group, and C-N bond cleavage. A transition structure consistent with the KIE values involves proton transfer from the active site Asp-125 (1.32 Å) with partial hydrogen bond formation to the accepting nitrogen (1.20 Å) and partial bond loss from the carbonyl carbon to the amide leaving group (1.52 Å). The KIEs measured for the native and I84V enzyme indicate nearly identical transition states, implying that a true transition-state analogue should be effective against both enzymes.
P‐115: 3D Simulations of Nematic and Cholesteric Liquid Crystals in Complex Geometries (2003)

Abstract The computer‐modeling program that simulates 3‐dimensional structures of nematic and cholesteric liquid crystals in arbitrary complex geometries, has been developed. The program takes into account anisotropic elasticity K 11 ≠K 22 ≠K 33 , pretilt angles on the boundaries, anisotropic surface polar and azimuthal anchoring, divergence elastic term K 24 , and inhomogeneity of the electric field.
MG-108 Beyond the ACMG 56: Parental choices and initial results from a comprehensive whole genome sequencing-based search for predictive genomic variants in children (2015)

<h3>Objective</h3> The overall goal of the SickKids Genome Clinic is to pilot paediatric genomic medicine. To this end we have assessed parental interest in predictive secondary medically-actionable variants (MAVs) and used whole genome sequencing (WGS) to determine the frequency and nature of these MAVs in children. <h3>Design</h3> The Genome Clinic conducts diagnostic WGS for 150+ children/year who are undergoing genetic evaluations. With parents’ permission, we search children’s genomes for predictive MAVs in 2800+ disease genes listed in the NIH Clinical Genomic Database. <h3>Results</h3> Of 373 families approached to date, 56% agreed to participate. 58% of participants chose to learn their child’s secondary adult-onset MAVs. Among these parents, 79% decided to learn their own status for these variants. Bioinformatics analysis of the first 100 patient genomes yielded 2957 candidate variants in 1132 genes (~30 variants/genome). ~70% of candidates were listed in HGMD. However, subsequent manual assessment rejected &gt;90% of variants for dominant diseases listed in HGMD as disease causing due to inadequate evidence of pathogenicity. After manual assessment, 33/100 children had at least one reportable predictive MAV. 9 MAVs occurred in a 2013 ACMG-guideline reportable gene. Expanding our search 50 fold to include 2800+ disease genes yielded 29 additional reportable predictive MAVs. Return of predictive MAVs and assessment of their penetrance is underway. <h3>Conclusions</h3> Parental opinions vary widely regarding return of predictive MAVs and comprehensive genomic analysis can yield predictive MAVs in 1/3 of children, with the number of reportable predictive MAVs constrained by disease prevalence and imperfect variant interpretation.
Hypertensive Fundus Changes (2020)

High blood pressure (hypertension) is a global public health issue and may lead to multiple adverse effects to the eye such as retinopathy, optic neuropathy, and choroidopathy. Ocular vascular damage related to hypertension often goes underdiagnosed because it causes few or no symptoms until changes are advanced. Further, evaluation of the retinal vasculature can give an insight into hypertension status and its related damage in the end organs (brain, heart, and kidney). Ophthalmologists or optometrists need to recognize the ocular effects of blood pressure to help identify individuals potentially at risk of developing hypertensive-related eye diseases in these otherwise-asymptomatic patients and monitor its end organ effects in existing patients with hypertension.
Frequency tracking of solo and duet passages using a harmonic two-way mismatch procedure (1992)

Estimation of the fundamental frequency (F0) of quasiharmonic signals is an important task in musical acoustics. Many existing techniques have unsatisfactory performance due to octave errors, noise perturbations, and other artifacts encountered in practice. Our work in this area, begun in 1986, uses the quasiharmonic assumption to guide a search for an estimated F0, based on the McAulay–Quatieri short-time spectrum measurement procedure. Estimation of F0 involves a two-way mismatch calculation where the discrepancy between the measured partial frequencies and a harmonic search grid is used to refine the F0 estimate. Inaccuracies present in the measured partial frequencies are averaged over all the available partials, thereby improving the F0 prediction. A heuristic weighting scheme is used to help reduce the susceptibility of the procedure to noise or partials missing in the spectral data. The frequency search strategy has also been extended to fundamental frequency estimation of duet (two voice) polyphony. Results for F0 tracking of solo and duet recorded musical instrument passages will be demonstrated.
Novel Multichannel Entropy Features and Machine Learning for Early Assessment of Pregnancy Progression Using Electrohysterography (2022)

Our results suggest that changes in the EHG, particularly the regularity, might manifest early in pregnancy. Single-channel and cross entropy may therefore provide relevant prognostic opportunities for pregnancy monitoring.