gebhart/patrepeval huggingface dataset:
Effect of massive training artificial neural networks for rib suppression on reduction of false positives in computerized detection of nodules on chest radiographs (2005)

A major challenge in computer-aided diagnostic (CAD) schemes for nodule detection on chest radiographs is the detection of nodules that overlap with ribs. Our purpose was to develop a technique for false-positive reduction in a CAD scheme using a rib-suppression technique based on massive training artificial neural networks (MTANNs). We developed a multiple MTANN (multi-MTANN) consisting of eight MTANNs for removing eight types of false positives. For further removal of false positives caused by ribs, we developed a rib-suppression technique using a multi-resolution MTANN consisting of three different resolution MTANNs. To suppress the contrast of ribs, the multi-resolution MTANN was trained with input chest radiographs and the teaching soft-tissue images obtained by using a dual-energy subtraction technique. Our database consisted of 91 nodules in 91 chest radiographs. With our original CAD scheme based on a difference image technique with linear discriminant analysis, a sensitivity of 82.4% (75/91 nodules) with 4.5 (410/91) false positives per image was achieved. The trained multi-MTANN was able to remove 62.7% (257/410) of false positives with a loss of one true positive. With the rib-suppression technique, the contrast of ribs in chest radiographs was suppressed substantially. Due to the effect of rib-suppression, 41.2% (63/153) of the remaining false positives were removed without a loss of any true positives. Thus, the false-positive rate of our CAD scheme was improved substantially, while a high sensitivity was maintained.
HER2 and Breast Cancer Stem Cells: More than Meets the Eye (2013)

The development of HER2 targeting agents has dramatically altered the natural history of HER2-positive breast cancer and is often cited as a prime example of the effectiveness of molecularly targeted therapy. Emerging data suggest that the remarkable clinical efficacy of these agents may be related to their ability to target the breast cancer stem cell (CSC) population. A new study suggests that the regulation of BCSCs by HER2 may extend to breast cancers that do not display HER2 gene amplification. In these tumors, HER2 is selectively expressed in the CSC population, and this expression is regulated by the tumor microenvironment. In mouse models, trastuzumab blocked growth of these HER2-negative tumors when administered in the adjuvant setting but had no effect on established tumors. These studies provide a potential biologic explanation for retrospective analysis of clinical trials, which surprisingly suggest that the clinical benefits of adjuvant trastuzumab may extend to women currently classified as HER2-negative. In addition to having significant implications for breast cancer therapy, these studies suggest the need to reevaluate the role of HER2 in regulating CSCs in other tumor types. Furthermore, these studies suggest that effective adjuvant therapies may need to target the CSC population.
Signal-to-noise ratios in inductive and mechanical detection of magnetic resonance (1993)

Magnetic resonance usually is detected inductively, using resonant circuits. Recent experiments have detected magnetic resonance mechanically, using the magnetic force acting between a sample and a nearby force microscope cantilever. This article compares the sensitivity of inductive and mechanical methods for detecting magnetic resonance. We show that, as mechanical oscillators are made smaller, their ability to detect magnetic resonance signals improves, such that existing force microscope cantilevers provide a viable alternative to inductive methods for detecting magnetic resonance.
Synthesis of linear, high-molecular-weight aromatic polyamides by the palladium-catalyzed carbonylation and condensation of aromatic diiodides, diamines, and carbon monoxide (1993)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTSynthesis of linear, high-molecular-weight aromatic polyamides by the palladium-catalyzed carbonylation and condensation of aromatic diiodides, diamines, and carbon monoxideRobert J. Perry, S. Richard Turner, and Richard W. BlevinsCite this: Macromolecules 1993, 26, 7, 1509–1513Publication Date (Print):March 1, 1993Publication History Published online1 May 2002Published inissue 1 March 1993https://pubs.acs.org/doi/10.1021/ma00059a005https://doi.org/10.1021/ma00059a005research-articleACS PublicationsRequest reuse permissionsArticle Views264Altmetric-Citations35LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
An Improved <italic>LCLC</italic> Current-Source-Output Multistring LED Driver With Capacitive Current Balancing (2014)

Passive or active current balancing circuits are usually used to mitigate current imbalance in driving multiple light-emitting-diode (LED) strings. Passive current balancing schemes adopting capacitors with high reliability, small size and low cost are very popular in many applications. However, the high reactive power of the capacitive balancing scheme with variable frequency control will bring high power stress on the VA rating of the main switches which drive this passive current balancing circuit and decrease the overall efficiency. Fixed frequency control does not permit zero-voltage switching (ZVS) under load variations. Hence, this paper proposes a current-source-output LED driver based on LCLC resonant circuit to provide a constant output current regardless of variations in LED parameters. In the LCLC circuit, the number of additional capacitors is scalable with the number of LED strings for current balancing. Moreover, the input impedance of the improved LCLC circuit is designed to be resistive at the operating frequency to minimize reactive power. The conventional duty cycle control can easily incorporate ZVS. The analysis, implementation and verification are detailed in this paper.
Spillover Today? Predicting Traffic Overflows on Private Peering of Major Content Providers (2021)

Large content providers and content distribution network operators usually connect with large Internet service providers (eyeball networks) through dedicated private peering. The capacity of these private network interconnects is provisioned to match the volume of the real content demand by the users. Unfortunately, in cases in which there is a surge in traffic demand, (e.g., due to trending content or massive software updates) the capacity of the private interconnect may deplete, requiring the content provider/distributor to reroute the excess traffic through transit providers. Although such overflow events are rare, they negatively impact content providers, Internet service providers, and end-users. Such impact includes unexpected delays and disruptions that reduce the quality of the user experience, as well as direct costs paid by the Internet service provider to the transit providers. In this article, we examine the problem of predicting an overflow event in order to enable content and Internet service providers to handle the excess traffic in a timely manner. We propose an ensemble of deep learning models trained to predict overflow events over a short-term horizon of 2–4 hours and predict the specific interconnections through which the excess traffic will enter the Internet service provider. Evaluated with 2.5 years (2017-2019) of traffic measurement data from a large European Internet service provider, the models were shown to successfully recall 65% of the events with precision of 51% on average. While the lockdowns imposed by the COVID-19 pandemic reduced the overflow prediction accuracy, the pandemic’s impact on the accuracy was temporary. Although the lockdown continued on and off, the performance of models trained before the pandemic regained their performance during April-May 2020.
Fixed Depth of Investigation Log for LWD Resistivity Tool (2003)

Abstract For years, wireline array-induction resistivity data have been processed and displayed at fixed multiple depths of investigation on logs. Modern multi-frequency, multi-spacing logging-while-drilling (LWD) resistivity tools are capable of measuring resistivities at multiple radial depths of investigation. However, since wireline and LWD tools are governed by different tool physics, it is sometimes difficult to compare data obtained by these two devices. Therefore, it is desirable to deliver LWD resistivity data in a manner that is comparable to the presentation of wireline array-induction data. This paper presents a new approach to process and display LWD data at fixed depths of investigation. This approach starts with a non-linear, iterative deconvolution to simultaneously correct for both relative dip and shoulder-bed effects. Using these corrected logs, the formation resistivity and invaded zone resistivity are determined by an inversion technique that assumes a step-invasion profile. This enables the method to better address the non-linearity of the LWD tool's response. After that, a least-squares curve-fitting technique is used to derive a function that models the relationship between the physical spacing of the transmitter-to-receiver pair and the depth of investigation. Using the same technique, a second function, which models the relationship between the transmitter-to-receiver spacing and the resistivity reading is derived. The first function is utilized to determine a set of fictional spacings that, if used, would result in the desired fixed depths of investigation. These fictional spacings are then used with the second function to calculate resistivity values at the desired depths of investigation, which are chosen to match some of those typically used for wireline array induction tools. The processed data thus obtained provide a meaningful way of comparing array induction and LWD resistivity data.
On-Chip Beam-Steering Photonic-Crystal Lasers (2010)

We report on a novel concept to create beam-steering lasers using photonic crystals. The lasers that we have developed indeed emit beams over a range of directions. The maximum beam steering angle is ~±30°.
Directionally Aligned Ultra‐Long Boron Nitride Nanotube Induced Strengthening of Aluminum‐Based Sandwich Composite (2016)

Ultra‐long Boron Nitride Nanotubes (100–200 µm) based layered Al–BNNT–Al composites are fabricated by spark plasma sintering, followed by cold rolling. The BNNT mat is sputter coated with Al to engineer strong metal‐nanotube interface. The BNNTs exhibit perfect alignment along the cold rolling direction. The tensile strength of the composite is found to be 200 MPa, which is 400% greater than the strength of pure Al (≈40 MPa). Young's modulus of this sandwich composite (≈134 GPa) is found to be double the modulus of pure Al (≈70 GPa) (with standard deviations less than 10%). Strengthening is explained by three major mechanisms: superior load transfer for long BNNT reinforcement, improvement in matrix‐nanotube bonding due to trace amount of interfacial product formation, and crack bridging by directionally aligned long nanotubes.
Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning (2020)

The privacy-preserving federated learning for vertically partitioned data has shown promising results as the solution of the emerging multi-party joint modeling application, in which the data holders (such as government branches, private finance and e-business companies) collaborate throughout the learning process rather than relying on a trusted third party to hold data. However, existing federated learning algorithms for vertically partitioned data are limited to synchronous computation. To improve the efficiency when the unbalanced computation/communication resources are common among the parties in the federated learning system, it is essential to develop asynchronous training algorithms for vertically partitioned data while keeping the data privacy. In this paper, we propose an asynchronous federated SGD (AFSGD-VP) algorithm and its SVRG and SAGA variants on the vertically partitioned data. Moreover, we provide the convergence analyses of AFSGD-VP and its SVRG and SAGA variants under the condition of strong convexity. We also discuss their model privacy, data privacy, computational complexities and communication costs. To the best of our knowledge, AFSGD-VP and its SVRG and SAGA variants are the first asynchronous federated learning algorithms for vertically partitioned data. Extensive experimental results on a variety of vertically partitioned datasets not only verify the theoretical results of AFSGD-VP and its SVRG and SAGA variants, but also show that our algorithms have much higher efficiency than the corresponding synchronous algorithms.
Molecular genetics of prostate cancer: emerging appreciation of genetic complexity (2011)

The emergence of Next Generation Sequencing is providing novel insights into cancer genomes as part of large-scale efforts by the International Cancer Genome Consortium (ICGC), as well as individual Genome Centers. Studies performing whole genome or whole exome DNA sequencing are remarkable both for the alterations discovered and equally important for the infrequent nature of recurrent mutations. Current understanding of the prostate cancer (PCa) genome is based on extensive RNA-sequencing for novel gene fusions and the first whole genome sequencing effort. The emerging data suggest that there are few recurrent genetic mutations. Surprisingly, the PCa genome undergoes frequent large-scale genomic rearrangements that could not have been predicted using previous DNA sequencing approaches, or even whole exome sequencing approaches. These large-scale rearrangements appear not to occur randomly, but demonstrate patterns leading to the 'chained' juxtaposition of known oncogenes. Future efforts in DNA sequencing will help to determine the recurrent nature of these genomic rearrangements, their association with other alterations and their effect on PCa disease progression. These discoveries raise the possibility that PCa might soon transition from a poorly understood, clinically heterogeneous disease to a collection of homogeneous subtypes identifiable by molecular criteria, and perhaps vulnerable to targeted therapies.
Sub-picomolar Inhibition of HIV-1 Protease with a Boronic Acid (2018)

Boronic acids have been typecast as moieties for covalent complexation and are employed only rarely as agents for non-covalent recognition. By exploiting the profuse ability of a boronic acid group to form hydrogen bonds, we have developed an inhibitor of HIV-1 protease with extraordinary affinity. Specifically, we find that replacing an aniline moiety in darunavir with a phenylboronic acid leads to 20-fold greater affinity for the protease. X-ray crystallography demonstrates that the boronic acid group participates in three hydrogen bonds, more than the amino group of darunavir or any other analog. Importantly, the boronic acid maintains its hydrogen bonds and its affinity for the drug-resistant D30N variant of HIV-1 protease. The BOH···OC hydrogen bonds between the boronic acid hydroxy group and Asp30 (or Asn30) of the protease are short ( r<sub>O···O</sub> = 2.2 Å), and density functional theory analysis reveals a high degree of covalency. These data highlight the utility of boronic acids as versatile functional groups in the design of small-molecule ligands.
Direct synthesis of bis(silyl)methanes containing silicon-hydrogen bonds (1993)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTDirect synthesis of bis(silyl)methanes containing silicon-hydrogen bondsIl Nam Jung, Seung Ho Yeon, and Joon Soo HanCite this: Organometallics 1993, 12, 6, 2360–2362Publication Date (Print):June 1, 1993Publication History Published online1 May 2002Published inissue 1 June 1993https://pubs.acs.org/doi/10.1021/om00030a052https://doi.org/10.1021/om00030a052research-articleACS PublicationsRequest reuse permissionsArticle Views103Altmetric-Citations17LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
<title>Robust 3D reconstruction system for human jaw modeling</title> (1999)

This paper presents a model-based vision system for dentistry that will replace traditional approaches used in diagnosis, treatment planning and surgical simulation. Dentistry requires accurate 3D representation of the teeth and jaws for many diagnostic and treatment purposes. For example orthodontic treatment involves the application of force systems to teeth over time to correct malocclusion. In order to evaluate tooth movement progress, the orthodontists monitors this movement by means of visual inspection, intraoral measurements, fabrication of plastic models, photographs and radiographs, a process which is both costly and time consuming. In this paper an integrate system has been developed to record the patient's occlusion using computer vision. Data is acquired with an intraoral video camera. A modified shape from shading (SFS) technique, using perspective projection and camera calibration, is used to extract accurate 3D information from a sequence of 2D images of the jaw. A new technique for 3D data registration, using a Grid Closest Point transform and genetic algorithms, is used to register the SFS output. Triangulization is then performed, and a solid 3D model is obtained via a rapid prototype machine.
CERAMIC SCINTILLATORS (1997)

▪ Abstract Scintillators are the primary radiation sensor in many applications such as medical diagnostics, medical radiographs, and industrial component inspection. Some of the limitations in the properties of single-crystal scintillators are discussed for imaging applications, and the advantages of a new class of polycrystalline ceramic scintillators are described in detail. After the important scintillator properties of transparency, X-ray stopping power, light output, primary speed, luminescent afterglow, and radiation damage are described, the processing and performance of ceramic scintillators (Y,Gd) 2 O 3 :Eu,Pr; Gd 2 O 2 S:Pr,Ce,F; and Gd 3 Ga 5 O 12 :Cr,Ce are discussed. Ceramic scintillator uses and trends are presented in light of issues related to their uses in advanced medical and industrial X-ray detectors for CT imaging applications. Finally, some of the challenges are given for successfully developing a polycrystalline ceramic scintillator for use in photon-counting applications.
Accurate Estimation of Test Pattern Counts for a Wide-Range of EDT Input/Output Channel Configurations (2022)

Test cost has become a critical issue for large industrial integrated circuits. Various test compression techniques have been adopted in the industry to reduce test cost. However, appropriate input and output channel counts must be selected to utilize the test compression technology best. This paper presents an efficient and effective method to estimate the test pattern counts under different compression configurations for the Embedded Deterministic Test (EDT) compression technique. In searching for the accurate estimation method, we build mathematical models that reveal the internal relationship among different compression configurations. The models are established based on novel theoretical analysis as well as actual experimental data. Accurate estimation of test pattern counts for a wide range of compression configurations can be obtained based on the results of only two ATPG runs. Experimental results on nine industrial circuits show that the average error rate of pattern count estimation is about 5%, with very few outliers. With the proposed method, a test compression designer can easily pick the best input and output channel configuration to fit the design needs.
Low cost direct modulation and coherent detection optical OFDM for metro applications (2010)

High speed transmission systems (> 10 Gb/s) for cost-sensitive applications such as metropolitan network have attracted extensive interest due to the explosive data traffic growth in such applications. Optical orthogonal frequency division multiplexing (OFDM) based on direct modulation and direct detection for single-mode fiber (SMF) and multi-mode fiber (MMF) without optical amplification and chromatic dispersion (CD) compensation was proposed. Recent research has also shown that optical OFDM can be used with electronic dispersion compensation using direct detection in SMF. However, laser frequency chirp has been identified as a key limiting factor of capacity-versus-reach performance. In this paper, we present a novel concept of low cost optical OFDM with direct modulation of distributed feedback (DFB) lasers and coherent detection at 51.4 Gb/s and 64 QAM. A comprehensive theoretical model of the proposed system is developed. The proposed optical OFDM system concept and performance is based upon using electronic precompensation of laser frequency response, and electronic post compensation of DFB laser frequency chirp and CD. A numerical simulation of the transmission performance of the aforementioned system is conducted using different fiber lengths (40 km, 60 km, 120 km) and chirp parameters, which shows its attractiveness for access and metro applications.