gebhart/patrepeval huggingface dataset:
Deep Regression for Face Alignment (2014)

In this paper, we present a deep regression approach for face alignment. The deep architecture consists of a global layer and multi-stage local layers. We apply the back-propagation algorithm with the dropout strategy to jointly optimize the regression parameters. We show that the resulting deep regressor gradually and evenly approaches the true facial landmarks stage by stage, avoiding the tendency to yield over-strong early stage regressors while over-weak later stage regressors. Experimental results show that our approach achieves the state-of-the-art
GreenGlue: Power Optimization for Data Centers through Resource-Guaranteed VM Placement (2014)

In a data center, virtual machines (VMs) not only require the server resource (e.g., CPU, memory) but also might generate a lot of network traffic among themselves. Existing research works on VMs placement are focusing on (1) how to place VMs to minimize server energy consumption without considering consumption of network resources, or (2) how to minimize inter-VM network traffic without considering energy consumption. In this work, we tackle the power saving issue of data centers from the point of view of VM placement as well, but, our idea is to address VM placement problem by joint consideration of both server and network energy consumption for minimizing total power consumption of a data center. First, we validate that the network power consumption plays an important part on the total power consumption of a data center by analyzing the data center architectures and the power benchmark of IT equipments. Next, we propose an energy-aware VM placement algorithm, called GreenGlue, which jointly optimizes the power consumed by servers and switches. GreenGlue is able to address initial VM placement issue, in which VM requests are given and no running VM exists in a data center. Furthermore, an optimal VM placement model is derived via the mixed integer linear programming. Finally, we present a comprehensive performance study via simulation with different scenarios generated by synthetic and real traffic traces. The results show that GreenGlue can perform better than existing VM placement schemes in terms of the power saving and the rate of finding feasible placement.
A Flight Simulator Study of the Impairment Effects of Startle on Pilots During Unexpected Critical Events (2016)

Abstract. Recent aircraft accidents have implicated startle as contributory, or directly causal, in situation outcome. The startle reflex is a ubiquitous response to surprising stimuli, which results in aversive movement and attentional orienting. Fear-potentiated startle, where a startling stimulus is experienced in the presence of conditions that are appraised as harmful or threatening, has the effect of initiating and exacerbating the stress response, particularly where threat persists, such as during an aircraft emergency. The deleterious effects of this stress response on cognitive function are discussed. Results from startle research in a B737 flight simulator showed considerable cognitive impairment in approximately one third of participants.
Power and bias of subset pooling strategies (2007)

We define a method to estimate the random and systematic errors resulting from incomplete relevance assessments.Mean Average Precision (MAP) computed over a large number of topics with a shallow assessment pool substantially outperforms -- for the same adjudication effort MAP computed over fewer topics with deeper pools, and [email protected] computed with pools of the same depth. Move-to-front pooling,previously reported to yield substantially better rank correlation, yields similar power, and lower bias, compared tofixed-depth pooling.
A conformation-induced fluorescence method for microRNA detection (2016)

MicroRNAs play important roles in a large variety of biological systems and processes through their regulation of target mRNA expression, and show promise as clinical biomarkers. However, their small size presents challenges for tagging or direct detection. Innovation in techniques to sense and quantify microRNAs may aid research into novel aspects of microRNA biology and contribute to the development of diagnostics. By introducing an additional stem loop into the fluorescent RNA Spinach and altering its 3' and 5' ends, we have generated a new RNA, Pandan, that functions as the basis for a microRNA sensor. Pandan contains two sequence-variable stem loops that encode complementary sequence for a target microRNA of interest. In its sensor form, it requires the binding of a target microRNA in order to reconstitute the RNA scaffold for fluorophore binding and fluorescence. Binding of the target microRNA resulted in large changes in fluorescence intensity. The median fold change in fluorescence observed for the sensors tested was ∼50-fold. Pandan RNA sensors exhibit good signal-to-noise ratios, and can detect their target microRNAs within complex RNA mixtures.
Fundamentals of adaptive filtering (2003)

This graduate-level textbook offers a comprehensive and up-to-date treatment of adaptive filtering; a vast and fast-moving field. The book is logically organized, specific in its presentation of each topic, and far-reaching in scope. Throughout the presentation, special emphasis is placed on geometric constructions, energy conservation arguments, system-theoretic arguments, and linear algebraic formulations. The textbook offers a fresh, broad, and systematic treatment of of the field; it illustrates extensive commonalities that exist among different classes of adaptive algorithms and even among different filtering theories. The book also provides a uniform treatment of the subject matter, addressing some existing limitations, providing additional insights, and detailing extensions of current theory. The book is designed to be self-contained, with careful attention given to appendices, problems, examples, and a variety of practical computer projects. The bibliography is up-to-date with extensive commentaries on how the contributions relate to each other in time and in context. Each chapter includes concepts that reinforce the principles covered, bibliographic notes for further study, numerous problems that vary in difficulty and applications, computer projects that illustrate real-life applications, and several helpful appendices. MATLAB programs that solve all computer projects are avaliable for download by all readers from the publisher's website. The computer projects feature topics such as linear and decision feedback equalization, channel estimation, beamforming, tracking of fading channels, line and acoustic echo cancellation, active noise control, OFDM receivers, CDMA receivers, and even finite precision effects. A complete solutions manual for all problems in the book is available to instructors upon request.
Passive seismic groundnoise: A novel approach to exploration (1985)

PreviousNext No AccessSEG Technical Program Expanded Abstracts 1985Passive seismic groundnoise: A novel approach to explorationAuthors: Lewis J. KatzLewis J. KatzUtah Geophysical, Inc.https://doi.org/10.1190/1.1892754 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail FiguresReferencesRelatedDetails SEG Technical Program Expanded Abstracts 1985ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 1985 Pages: 643 publication data© 1985 Copyright © 1985 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 07 Mar 2005 CITATION INFORMATION Lewis J. Katz, (1985), "Passive seismic groundnoise: A novel approach to exploration," SEG Technical Program Expanded Abstracts : 181-183. https://doi.org/10.1190/1.1892754 Plain-Language Summary PDF DownloadLoading ...
Smoke control for elevators (1983)

This paper is the second report of an ongoing project at the National Bureau of Standards (NBS) to investigate the use of smoke control in an attempt to allow the use of elevators as a means of fire escape for the handicapped. The use of stairwells for fire evacuation poses a problem for people who cannot use stairs because of physical disabilities. This paper discusses some of the major problems associated with the use of elevators as a means of fire exit and proposes a conceptual solution to those problems.
Cache Optimization for Embedded Systems Running H.264/AVC Video Decoder (2006)

The computing power of microprocessors has exponentially increased in the past few decades and so is the support to computation intensive multimedia applications. With such improved computing power, memory subsystem deficiency becomes the major barrier to support video messaging and video telephony/conferencing on mobile handsets. Studies show that for multimedia applications there are sufficient reuses of values for caching and there is an opportunity for customizing the cache subsystem for improved performance. In our previous work, we optimized cache to enhance MPEG-4 (Part 2) decoding performance running on a mobile device. H.264/AVC (or MPEG-4 Part 10) outperforms both MPEG-4 (Part 2) and H.263 by providing better video quality at a lower bit-rate and a lower latency. As a result, H.264/AVC becomes the next generation video codec for embedded systems. In this paper, our focus is to enhance decoding performance of H.264/AVC through cache optimization for an embedded and mobile device. The simulated architecture includes a processor to run the decoding algorithm and a twolevel cache system. Level-1 cache is split into Instruction and Data caches and level-2 cache is a unified cache. We use Cachegrind to characterize H.264/AVC decoding workload and VisualSim to model the system-level architecture and run the simulation for H.264/AVC decoding workload. Simulation results show that H.264/AVC decoding performance can be enhanced through cache optimization.
Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers (2021)

Microsatellite instability (MSI) is a tumor phenotype whose diagnosis largely impacts patient care in colorectal cancers (CRC), and is associated with response to immunotherapy in all solid tumors. Deep learning models detecting MSI tumors directly from H&E stained slides have shown promise in improving diagnosis of MSI patients. Prior deep learning models for MSI detection have relied on neural networks pretrained on ImageNet dataset, which does not contain any medical image. In this study, we leverage recent advances in self-supervised learning by training neural networks on histology images from the TCGA dataset using MoCo V2. We show that these networks consistently outperform their counterparts pretrained using ImageNet and obtain state-of-the-art results for MSI detection with AUCs of 0.92 and 0.83 for CRC and gastric tumors, respectively. These models generalize well on an external CRC cohort (0.97 AUC on PAIP) and improve transfer from one organ to another. Finally we show that predictive image regions exhibit meaningful histological patterns, and that the use of MoCo features highlighted more relevant patterns according to an expert pathologist.
Design and implementation of recording functionality for an IP-based set-top box (2004)

This theses covers the design and implementation of recording functionality for a set-top box in a home network. An initial investigation is done and possibilities for extending the system to support specific features are presented. Digital TV is becoming more common each day, and soon it will be more widely used than todays analogue standard. At the same time the need for recording TV shows remains the same or is increasing, which is shown by the number of PVR solutions popping up on the market. The goal of this thesis work was to investigate the possibilities for extending an existing set-top box to support common PVR features and, if possible, to implement a prototype. This was supposed to be done in a home network environment with the set-top box as the digital media center. A satisfying solution, covering basic recording functionality is defined and implemented. The solution includes recording to a USB hard drive and to a PC on the local network. On top of this, a graphical user interface is built and some simple benchmarks show the performance of the set-top box with the new functionality.
Editors' Introduction (1976)

The Communist Party plays an educational role that operates on many levels of life in the USSR. Past issues of Soviet Education have dealt with the part played by the Communist Party in the education of schoolchildren in the USSR (Vol. XIV, No. 6); with the role of the Communist Youth League, or Komsomol, in the education of youth (Vol. XVII, Nos. 4 and 5); with Party propaganda campaigns among adult production workers (Vol. XV, No. 7); and, finally, with the formal system of political education the Party maintains for its own cadres (Vol. XV, No. 1).
The role of NO Selective Catalysts in the Plasma Enhanced Removal of NOx and PM from Diesel Exhausts (2001)

<div class="htmlview paragraph">Non-thermal plasma (NTP) systems are attracting increasing interest as candidates for future generation diesel exhaust aftertreatment technologies. Strategies are being investigated for lean NOx reduction, particulate (PM) oxidation and for combined NOx and PM aftertreatment. One approach for plasma-catalyst NOx reduction is to convert NO to NO<sub>2</sub> with a plasma and then reduce the NO<sub>2</sub> over a suitable catalyst. However, it has been recently suggested that particulate in the diesel exhaust may inhibit the NTP conversion of NO into NO<sub>2</sub> in a plasma regenerating diesel particulate filter (DPF). In addition some NO<sub>2</sub> selective catalysts are demonstrating high levels of N<sub>2</sub>O production rather than being selective to N<sub>2</sub>. It has been suggested that combined NOx and PM removal could be achieved by employing an NO selective reduction catalyst in combination with a plasma DPF.</div> <div class="htmlview paragraph">Silver-doped alumina (Ag-Al<sub>2</sub>O<sub>3</sub>) is shown to be a particularly effective catalyst for NO reduction. Combination of this catalyst with a plasma resulted in the NO<sub>x</sub> reduction being enhanced. This effect is especially pronounced at lower exhaust temperatures characteristic of passenger car exhausts. It was found that the plasma catalyst enhancement was effective with both propene and diesel fuel acting as a reductant.</div> <div class="htmlview paragraph">Studies appear to show a link between plasma enhanced NO reduction and the generation of active species such as formaldehyde (CH<sub>2</sub>O). It appears that the composition of the reductant mixture in the exhaust stream plays a fundamental role in the plasma catalyst mechanism that enhances NO reduction. The combination of this catalyst and plasma would support the proposed PM / NO<sub>x</sub> removal strategy.</div>
Camouflaging Virtual Honeypots (2008)

Honeypots are decoys designed to trap attackers. Once deployed, we can use honeypots to log an attacker’s activities, analyze its behavior and design new approaches to defend against it. A virtual honeypot can emulate multiple honeypots on one physical machine, and so provide great flexibility in representing one or more networks of machines. In order to operate effectively, a honeypot needs to hide itself, analogously to an experienced sniper needing camouflage. In this paper, we address issues related with designing an appropriate “camouflage ” for virtual honeypots, in particular for Honeyd, which can emulate any size of network on one or multiple physical machines. We found that an attacker may remotely fingerprint honeyd by measuring the link latency of the network links emulated by honeyd. We design a camouflaged honeyd by rewriting a small part of the honeyd toolkit code and by appropriately patching the operating system. Our experiments demonstrate the effectiveness of our approach to hide honeyd. 1
Human genome-wide repair map of DNA damage caused by the cigarette smoke carcinogen benzo[a]pyrene (2017)

Benzo[a]pyrene (BaP), a polycyclic aromatic hydrocarbon, is the major cause of lung cancer. BaP forms covalent DNA adducts after metabolic activation and induces mutations. We have developed a method for capturing oligonucleotides carrying bulky base adducts, including UV-induced cyclobutane pyrimidine dimers (CPDs) and BaP diol epoxide-deoxyguanosine (BPDE-dG), which are removed from the genome by nucleotide excision repair. The isolated oligonucleotides are ligated to adaptors, and after damage-specific immunoprecipitation, the adaptor-ligated oligonucleotides are converted to dsDNA with an appropriate translesion DNA synthesis (TLS) polymerase, followed by PCR amplification and next-generation sequencing (NGS) to generate genome-wide repair maps. We have termed this method translesion excision repair-sequencing (tXR-seq). In contrast to our previously described XR-seq method, tXR-seq does not depend on repair/removal of the damage in the excised oligonucleotides, and thus it is applicable to essentially all DNA damages processed by nucleotide excision repair. Here we present the excision repair maps for CPDs and BPDE-dG adducts generated by tXR-Seq for the human genome. In addition, we report the sequence specificity of BPDE-dG excision repair using tXR-seq.
3-D semivectorical beam propagation analysis of a spotsize-converter-integrated laser diode in the 1.3-μm-wavelength region (1997)

Spotsize converters (SSCs), consisting of a lateral taper, thin-film core, and ridge, have been accurately designed to develop spotsize-converted laser diodes (SS-LDs) in the 1.3-μm-wavelength region based on the 3-D semivectorial finite-difference beam propagation method (FD-BPM) with nonequidistant discretization. The effects of the structural parameters on the sum of spot-conversion loss and coupling loss between the laser diode eigenmode and single-mode fiber (SMF) eigenmode are clarified. It is shown that a small loss of around 1.5 dB can be realized by introducing nonlinear tapers to these types of SSC's. The calculated results agree well with the measured results.
The Cystic Fibrosis Transmembrane Conductance Regulator Potentiator Ivacaftor Augments Mucociliary Clearance Abrogating Cystic Fibrosis Transmembrane Conductance Regulator Inhibition by Cigarette Smoke (2016)

Acquired cystic fibrosis transmembrane conductance regulator (CFTR) dysfunction may contribute to chronic obstructive pulmonary disease pathogenesis and is a potential therapeutic target. We sought to determine the acute effects of cigarette smoke on ion transport and the mucociliary transport apparatus, their mechanistic basis, and whether deleterious effects could be reversed with the CFTR potentiator ivacaftor (VX-770). Primary human bronchial epithelial (HBE) cells and human bronchi were exposed to cigarette smoke extract (CSE) and/or ivacaftor. CFTR function and expression were measured in Ussing chambers and by surface biotinylation. CSE-derived acrolein modifications on CFTR were determined by mass spectroscopic analysis of purified protein, and the functional microanatomy of the airway epithelia was measured by 1-μm resolution optical coherence tomography. CSE reduced CFTR-dependent current in HBE cells (P < 0.05) and human bronchi (P < 0.05) within minutes of exposure. The mechanism involved CSE-induced reduction of CFTR gating, decreasing CFTR open-channel probability by approximately 75% immediately after exposure (P < 0.05), whereas surface CFTR expression was partially reduced with chronic exposure, but was stable acutely. CSE treatment of purified CFTR resulted in acrolein modifications on lysine and cysteine residues that likely disrupt CFTR gating. In primary HBE cells, CSE reduced airway surface liquid depth (P < 0.05) and ciliary beat frequency (P < 0.05) within 60 minutes that was restored by coadministration with ivacaftor (P < 0.005). Cigarette smoking transmits acute reductions in CFTR activity, adversely affecting the airway surface. These effects are reversible by a CFTR potentiator in vitro, representing a potential therapeutic strategy in patients with chronic obstructive pulmonary disease with chronic bronchitis.
Extended analysis of Viterbi-Viterbi synchronizers (2004)

For non-data-aided carrier phase recovery of M-ary phase-shift keying (MPSK) as modulation scheme, Viterbi and Viterbi (V&V) suggested a feedforward (FF) variant of the Mth-power non-linearity. With respect to the jitter variance, a closed-form solution has been presented for even integer values of the generic design parameter m, 0 ≤ m ≤ M. Basically, the V & V principle may be applied to feedback (FB) systems as well, where little is found in the open literature. To this end, the characteristic of the open loop (S-curve) is derived in closed form for any value of m. The jitter variance of the linearized FB synchronizer is then computed using the slope in the stable equilibrium point of the S-curve. Furthermore, in order to minimize the jitter variance, it is shown that the optimized value mopt → 1 for increasing values of the signal-to-noise ratio (SNR), whereas in the opposite case mopt → M. Finally, it is verified that the developed relationships are also valid for FF estimators if they are operated with negligible carrier frequency offsets. Copyright © 2004 AEI.
Time to stop those with ageist attitudes in their tracks (2012)

Elizabeth Rangely (letters June 6) described how she believed she was regarded as less intelligent or less up to date than other nurses simply because she was working with older people who have complex needs.
Beneficial effects of C‐peptide on incipient nephropathy and neuropathy in patients with Type 1 diabetes mellitus (2000)

These results indicate that combined treatment with C-peptide and insulin for 3 months may improve renal function by diminishing urinary albumin excretion and ameliorate autonomic and sensory nerve dysfunction in patients with Type 1 diabetes mellitus.
A Neural Network for Real-Time Signal Processing (1989)

This paper describes a neural network algorithm that (1) performs temporal pattern matching in real-time, (2) is trained on-line, with a single pass, (3) requires only a single template for training of each representative class, (4) is continuously adaptable to changes in background noise, (5) deals with transient signals having low signal-to-noise ratios, (6) works in the presence of non-Gaussian noise, (7) makes use of context dependencies and (8) outputs Bayesian probability estimates. The algorithm has been adapted to the problem of passive sonar signal detection and classification. It runs on a Connection Machine and correctly classifies, within 500 ms of onset, signals embedded in noise and subject to considerable uncertainty.
INDUCTION OF PUBERTY LONG‐TERM TREATMENT WITH HIGH‐DOSE LHRH (1979)

Gonadotropin releasing hormone 500 mcg was administered twice daily to four patients (two male, two female) with hypogonadotrophic hypogonadism due to LHRH deficiency, for a minimum of 1 year. Despite initially encouraging biochemical responses and physical changes in all four patients, gonadotrophin responsiveness waned, sex steroid levels were not maintained and pubertal development has not occurred. This diminishing responsiveness appears to be a severe limitation on the use of LHRH as a therapeutic agent.