gebhart/patrepeval huggingface dataset:
Traceback coordination model with legal requirements against source address attacks (2009)

Recently, attacks involving source IP spoofing have become a critical issue on the Internet. Research and development into IP traceback systems that track an end victim host to an end spoofing host via multiple ISPs is progressing. However, issues with the legal aspects of privacy of communications and the lack of a framework within which Internet service providers (ISPs) can work together quickly have prevented traceback systems from achieving widespread adoption. In this paper we consider the legal requirements for the technology established to date from the viewpoint of coordination among ISPs towards the application of traceback systems on the Internet. In addition, we examine the arrangements between ISPs to satisfy these requirements and formulate an operational model for a traceback system coordinated between ISPs. We conducted surveys on this model with ISPs and formulated an overall draft plan that will lead to traceback demonstration experiments.
GA-Optimized Compact Broadband CRLH Band-Pass Filter Using Stub-Inserted Interdigital Coupled Lines (2015)

The design of a new compact band-pass filter is proposed, which is based on the microstrip composite right- and left-handed transmission- line (CRLH-TL) structure. Particularly, the interdigital coupled (IDC) lines of the CRLH geometry are proposed to be parted by inserting open stubs to meet the specifications on the passband. In addition, there is another pair of stubs to complete the design in a limited space. These are considered in the TL-based analysis and the design parameters are calculated by genetic algorithm optimization. The measurement is shown to be acceptable and agreeable with the circuit and electromagnetic field simulations. In addition, the zerothorder resonance (ZOR) phenomenon is verified.
Ultra-thin Super High Frequency two-port ALN contour-mode resonators and filters (2009)

This paper reports on the demonstration of a new class of ultra-thin (250 nm thick) super high frequency (SHF) AlN piezoelectric two-port resonators and filters. A thickness field excitation scheme was employed to excite a higher order contour extensional mode of vibration in an AlN nano plate (250 nm thick) above 3 GHz and synthesize a 1.96 GHz narrow-bandwidth channel-select filter. The devices of this work are able to operate over a frequency range from 1.9 to 3.5 GHz and are employed to synthesize the highest frequency MEMS filter based on electrically self-coupled AlN contour-mode resonators. Very narrow bandwidth (~ 0.35%) and high off-band rejection (~ 35 dB) were achieved at an operating frequency of 1.96 GHz. This first prototype showed insertion loss of 11 dB, which can be improved to few dB if parasitic elements are eliminated or device capacitance is increased.
Anterior Segment Optical Coherence Tomography Study of the Cornea and Anterior Segment in Adult Ethnic South Asian Indian Eyes (2011)

The authors have described useful baseline anterior segment parameters from this population-based study of ethnic South Indian adults. These data may be useful for corneal and anterior segment procedures such as endothelial keratoplasty and anterior chamber intraocular lens insertion.
Data from Local Delivery of <i>Ox40l</i>, <i>Cd80</i>, and <i>Cd86</i> mRNA Kindles Global Anticancer Immunity (2023)

&lt;div&gt;Abstract&lt;p&gt;Localized expression of effector molecules can initiate antitumor responses through engagement of specific receptors on target cells in the tumor microenvironment. These locally induced responses may also have a systemic effect, clearing additional tumors throughout the body. In this study, to evoke systemic antitumor responses, we utilized charge-altering releasable transporters (CART) for local intratumoral delivery of mRNA coding for costimulatory and immune-modulating factors. Intratumoral injection of the CART–mRNA complexes resulted in mRNA expression at the site of administration, transfecting a substantial proportion of tumor-infiltrating dendritic cells, macrophages, and T cells in addition to the tumor cells, resulting in a local antitumor effect. Using a two-tumor model, we further show that mRNA therapy locally administered to one tumor stimulated a systemic antitumor response, curing both tumors. The combination of &lt;i&gt;Ox40l&lt;/i&gt;-, &lt;i&gt;Cd80&lt;/i&gt;-, and &lt;i&gt;Cd86&lt;/i&gt;-encoding mRNA resulted in the local upregulation of proinflammatory cytokines, robust local T-cell activation, and migration of immune cells to local draining lymph node or to an anatomically distant tumor. This approach delayed tumor growth, facilitated tumor regression, and cured tumors in both A20 and CT26 tumor models. These results highlight mRNA-CART therapy as a viable approach to induce systemic antitumor immunity from a single localized injection.&lt;/p&gt;Significance:&lt;p&gt;The mRNA-CART system is a highly effective delivery platform for delivering immunostimulatory genes into the tumor microenvironment for potential therapeutic development.&lt;/p&gt;&lt;/div&gt;
Using Neural Networks to Compensate Altitude Effects on the Air Flow Rate in Variable Valve Timing Engines (2005)

&lt;div class="htmlview paragraph"&gt;An accurate air flow rate model is critical for high-quality air-fuel ratio control in Spark-Ignition engines using a Three-Way-Catalyst. Emerging Variable Valve Timing technology complicates cylinder air charge estimation by increasing the number of independent variables. In our previous study (SAE &lt;a href="http://www.sae.org/technical/papers/2004-01-3054" target="_blank"&gt;2004-01-3054&lt;/a&gt;), an Artificial Neural Network (ANN) has been used successfully to represent the air flow rate as a function of four independent variables: intake camshaft position, exhaust camshaft position, engine speed and intake manifold pressure. However, in more general terms the air flow rate also depends on ambient temperature and pressure, the latter being largely a function of altitude. With arbitrary cam phasing combinations, the ambient pressure effects in particular can be very complex. In this study, we propose using a separate neural network to compensate the effects of altitude on the air flow rate. A predictive, high-fidelity simulation tool is used to generate training samples for the altitude compensation ANN. Compared with a test-based approach both developmental cost and time are reduced. The effectiveness of the proposed approach is evaluated and validated by both engine dynamometer tests and in-vehicle tests.&lt;/div&gt;
A 1-minute blood test detects decreased immune function and increased clinical risk in COVID-19 patients (2021)

Upon infection with SARS-CoV-2, the virus that causes COVID-19, most people will develop no or mild symptoms. However, a small percentage of the population will become severely ill, and some will succumb to death. The clinical severity of COVID-19 has a close connection to the dysregulation of the patient's immune functions. We previously developed a simple, nanoparticle-enabled blood test that can determine the humoral immune status in animals. In this study, we applied this new test to analyze the immune function in relation to disease severity in COVID-19 patients. From the testing of 153 COVID-19 patient samples and 142 negative controls, we detected a drastic decrease of humoral immunity in COVID-19 patients who developed moderate to severe symptoms, but not in patients with no or mild symptoms. The new test may be potentially used to monitor the immunity change and predict the clinical risk of patients with COVID-19.
Self-Assembly of Diboronic Esters with U-Shaped Bipyridines: “Plug-in-Socket” Assemblies (2021)

Self-assembled complexes utilizing the ditopic dative bond acceptor 1,3-diboronic acid with catechol and complementary U-shaped donors in the form of 1,8-dipyridylnaphthalenes (1,8-bis(4-pyridyl)naphthalene (<b>DPN</b>), 1,8-bis(4-ethylenylpyridyl)naphthalene (<b>DEPN</b>), and 1,8-bis(4-ethynylpyridyl)naphthalene (<b>DAPN</b>)) yielded discrete two-component structures. The assemblies exhibit "plug-in-socket" geometries. DFT calculations are consistent with the donor pyridyl and acceptor catecholate being electron poor and rich, respectively. The assemblies pack via π-π interactions and support the inclusion of a solvent (i.e., <b>DPN</b>, <b>DAPN</b>). The materials may form a basis for the design of complex B-based structures (e.g., supramolecular dyads).
Pattern transfer printing by kinetic control of adhesion to an elastomeric stamp (2023)

The present invention provides methods, systems and system components for transferring, assembling and integrating features and arrays of features having selected nanosized and/or microsized physical dimensions, shapes and spatial orientations. Methods of the present invention utilize principles of `soft adhesion` to guide the transfer, assembly and/or integration of features, such as printable semiconductor elements or other components of electronic devices. Methods of the present invention are useful for transferring features from a donor substrate to the transfer surface of an elastomeric transfer device and, optionally, from the transfer surface of an elastomeric transfer device to the receiving surface of a receiving substrate. The present methods and systems provide highly efficient, registered transfer of features and arrays of features, such as printable semiconductor element, in a concerted manner that maintains the relative spatial orientations of transferred features.
Relative Pose Estimation for a Multi-camera System with Known Vertical Direction (2014)

In this paper, we present our minimal 4-point and linear 8-point algorithms to estimate the relative pose of a multi-camera system with known vertical directions, i.e. known absolute roll and pitch angles. We solve the minimal 4-point algorithm with the hidden variable resultant method and show that it leads to an 8-degree univariate polynomial that gives up to 8 real solutions. We identify a degenerated case from the linear 8-point algorithm when it is solved with the standard Singular Value Decomposition (SVD) method and adopt a simple alternative solution which is easy to implement. We show that our proposed algorithms can be efficiently used within RANSAC for robust estimation. We evaluate the accuracy of our proposed algorithms by comparisons with various existing algorithms for the multi-camera system on simulations and show the feasibility of our proposed algorithms with results from multiple real-world datasets.
Single-Input and Multiple-Output Surface Acoustic Wave Sensing for Damage Quantification in Piezoelectric Sensors (2018)

The main aim of the paper is damage detection at the microscale in the anisotropic piezoelectric sensors using surface acoustic waves (SAWs). A novel technique based on the single input and multiple output of Rayleigh waves is proposed to detect the microscale cracks/flaws in the sensor. A convex-shaped interdigital transducer is fabricated for excitation of divergent SAWs in the sensor. An angularly shaped interdigital transducer (IDT) is fabricated at 0 degrees and ±20 degrees for sensing the convex shape evolution of SAWs. A precalibrated damage was introduced in the piezoelectric sensor material using a micro-indenter in the direction perpendicular to the pointing direction of the SAW. Damage detection algorithms based on empirical mode decomposition (EMD) and principal component analysis (PCA) are implemented to quantify the evolution of damage in piezoelectric sensor material. The evolution of the damage was quantified using a proposed condition indicator (CI) based on normalized Euclidean norm of the change in principal angles, corresponding to pristine and damaged states. The CI indicator provides a robust and accurate metric for detection and quantification of damage.
Self-assembly patterning using block copolymer for advanced CMOS technology: optimisation of plasma etching process (2012)

International audience
TRANS-AM: Transfer Learning by Aggregating Dynamics Models for Soft Robotic Assembly (2021)

Practical industrial assembly scenarios often require robotic agents to adapt their skills to unseen tasks quickly. While transfer reinforcement learning (RL) could enable such quick adaptation, much prior work has to collect many samples from source environments to learn target tasks in a model-free fashion, which still lacks sample efficiency on a practical level. In this work, we develop a novel transfer RL method named TRANSfer learning by Aggregating dynamics Models (TRANS-AM). TRANS-AM is based on model-based RL (MBRL) for its high-level sample efficiency, and only requires dynamics models to be collected from source environments. Specifically, it learns to aggregate source dynamics models adaptively in an MBRL loop to better fit the state-transition dynamics of target environments and execute optimal actions there. As a case study to show the effectiveness of this proposed approach, we address a challenging contact-rich peg-in-hole task with variable hole orientations using a soft robot. Our evaluations with both simulation and real-robot experiments demonstrate that TRANS-AM enables the soft robot to accomplish target tasks with fewer episodes compared when learning the tasks from scratch.
Small Pitch Micro-Bumping and Experimental Investigation for Under Filling 3D Stacking (2012)

Although 3D-IC integration is largely acknowledged as most promising technology to push further the scaling concept of Moore's law, a few important uncertainties are delaying high volume production. Among these uncertainties, the reliability of 3D-IC stacked components is the most important. A key element in 3D stacking reliability is the choice of the correct UF to integrate in the assembly processing: die stacking and final packaging. In this paper we report the recent results coming from the UF screening and 3D stacking activities. These activities are performed at Imec in the frame of the 3D Imec Industrial Affiliation Program (3D-IIAP). After describing the test vehicle used in this work, we introduce some of the requirements in term of process improvement and stacking accuracy to enable 3D stacking in case of small pitch micro-bumps. We then present recent results coming from the UF screening activity and report on the electrical characterization of the 3D stacks. This characterization is done by measuring the electrical resistance of the daisy chains connections between top/bottom dies bumps. The stacks are done with thermo-compression bonding and using die-to-die approach. The stacks are lately exposed to thermo-cycling processing followed by further characterization.
A HIGH-Q WIDELY-TUNABLE GIGAHERTZ ELECTROMAGNETIC CAVITY RESONATOR (2004)

This paper describes the design, fabrication and testing of a quasistatic electromagnetic cavity resonator fabricated using KOH etching, shallow RIE, metalization and wafer bonding. The resonator is distinguished by its simultaneous high Q near 200, and wide high-frequency tuning range, 2.5 GHz to 4.0 GHz for the experimental resonator presented here. When combined with an integrated actuator, it should be suitable for use in electronically-tunable RF band-pass filters and oscillators. The experimental resonator, however, is tuned with an external piezoelectric actuator for simplicity.
An empirical investigation of the relation between discourse structure and co-reference (2000)

We compare the potential of two classes of linear and hierarchical models of discourse to determine co-reference links and resolve anaphors. The comparison uses a corpus of thirty texts, which were manually annotated for co-reference and discourse structure.
Azimuthal Self Potential Signatures Associated With Pneumatic Fracturing (2008)

Pneumatic fracturing is used to enhance the permeability and porosity of tight unconsolidated soils (e.g. clays) and/or bedrock thereby improving the effectiveness of remediation treatments applied to contaminated soils. A laboratory simulation was performed whereby compressed kaolinite sediments were pneumatically-fractured and subsequently injected with an electrolyte/dye simulating a treatment. Fracture geometry was quantified via fracture strike analysis of visible fractures in the tank walls combined with optical borehole televiewer imaging. Azimuthal self potential (ASP) measurements revealed clear electrokinetic self potentials during injection that correlate with dominant fracture strikes in the clay. Polar plots show that ASP lobes coincide with azimuths of high fracture strike density and that cross plots of SP versus number of fractures display a statistically significant positive correlation. Furthermore, the magnitude of electrokinetic SP scales with flow rate for any particular fracture set, and the positive lobes of the ASP anomaly are diagnostic of the flow direction of the treatment.
Molecular cloning and functional expression of a multispecific organic anion transporter from human kidney (1999)

Recently, we isolated the multispecific organic anion transporter (OAT1) from the rat kidney, which plays important roles in the renal elimination of endogenous and exogenous organic anions including clinically important drugs. In the present study, we cloned and characterized human OAT1. Two cDNA clones, hOAT1–1 cDNA and hOAT1–2 cDNA, were isolated from a human kidney cDNA library, whose amino acid sequences were 86.0% and 87.8% identical to that of rat OAT1, respectively. When expressed in Xenopus laevis oocytes, hOAT1 mediated sodium-independent uptake of p-aminohippurate (PAH) ( K m = 9.3 ± 1.0 μM). hOAT1-mediated PAH uptake was inhibited by bulky inorganic anions, various xenobiotics, and endogenous substances, including benzylpenicillin, furosemide, indomethacin, probenecid, phenol red, urate, and α-ketoglutarate. Northern blot analysis revealed that hOAT1 mRNA is strongly expressed in human kidney; transcripts of different sizes are expressed in skeletal muscle, brain, and placenta. Immunohistochemical analysis using rabbit IgG antibody against the carboxy-terminal 14 peptides of hOAT1 revealed that hOAT1 is expressed at the basolateral membrane of the proximal tubule. hOAT1 gene was located on human chromosome 11q13.1 by fluorescent in situ hybridization analysis. These results indicate that hOAT1 is a multispecific organic anion transporter on the basolateral membrane of the proximal tubule in human kidney.
On Isogeny Graphs of Supersingular Elliptic Curves over Finite Fields. (2018)

Abstract We study the isogeny graphs of supersingular elliptic curves over finite fields, with an emphasis on the vertices corresponding to elliptic curves of j-invariant 0 and 1728.
Effect of carbon nanoparticles on renal epithelial cell structure, barrier function, and protein expression (2010)

To assess effects of carbon nanoparticle (CNP) exposure on renal epithelial cells, fullerenes (C(60)), single-walled carbon nanotubes (SWNT), and multi-walled carbon nanotubes (MWNT) were incubated with a confluent renal epithelial line for 48 h. At low concentrations, CNP-treated cells exhibited significant decreases in transepithelial electrical resistance (TEER) but no changes in hormone-stimulated ion transport or CNP-induced toxicity or stress responses as measured by lactate dehydrogenase or cytokine release. The changes in TEER, manifested as an inverse relationship with CNP concentration, were mirrored by an inverse correlation between dose and changes in protein expression. Lower, more physiologically relevant, concentrations of CNP have the most profound effects on barrier cell function and protein expression. These results indicate an impact of CNPs on renal epithelial cells at concentrations lower than have been previously studied and suggest caution with regard to increasing CNP levels entering the food chain due to increasing environmental pollution.
Federal guidelines on diagnosis and treatment of chronic obstructive pulmonary disease (2022)

Currently, chronic obstructive pulmonary disease (COPD) is a global health issue and one of the leading causes of death in the world. COPD therapy includes pharmacological and non-pharmacological approaches that can significantly improve clinical symptoms and reduce frequency of exacerbations of the disease. Methodology . The target audience of these clinical recommendations are therapists, general practitioners, and pulmonologists. Each thesis-recommendation about diagnostic and therapeutic procedures was graded according to the scales of classes of recommendations from 1 to 5 and the A, B, C scale of the levels of evidence. The clinical recommendations also contain comments and explanations to the theses together with algorithms for the diagnosis and treatment of COPD. Conclusion . The presented clinical guidelines cover the latest information about the etiology and pathogenesis, clinical manifestations, diagnosis, treatment, and prevention of chronic obstructive pulmonary disease. These guidelines were approved by the Scientific and Practical Council of the Ministry of Health of the Russian Federation in 2021.
Time‐Lapse Photometric Stereo and Applications (2014)

Abstract This paper presents a technique to recover geometry from time‐lapse sequences of outdoor scenes. We build upon photometric stereo techniques to recover approximate shadowing, shading and normal components allowing us to alter the material and normals of the scene. Previous work in analyzing such images has faced two fundamental difficulties: 1. the illumination in outdoor images consists of time‐varying sunlight and skylight, and 2. the motion of the sun is restricted to a near‐planar arc through the sky, making surface normal recovery unstable. We develop methods to estimate the reflection component due to skylight illumination. We also show that sunlight directions are usually non‐planar, thus making surface normal recovery possible. This allows us to estimate approximate surface normals for outdoor scenes using a single day of data. We demonstrate the use of these surface normals for a number of image editing applications including reflectance, lighting, and normal editing.
Low outgassing and anticorrosive metal surface treatment for ultrahigh vacuum equipment (1990)

We report on a stainless steel passivation technology useful for the future We report on a stainless steel passivation technology useful for the future submicron ultralarge-scale integration (ULSI) manufacturing. In the near future, low pressure processing will become more important. With presently available equipment, outgassing from the inner surface of metal chambers is one of the factors that can hinder ultrahigh vacuum processing. Therefore, absorbed molecular contaminations must be eliminated. We report the development of low outgassing metal surface that is derived from an O2 or F2 passivation process. This process requires an initial metal surface to have mirror finish without Beilby layer. Specifically, by using a 316L stainless surface, under clean conditions, outgas volume of moisture are shown to be reduced by a factor of 102, compared with conventional finished steel surfaces. In addition O2/F2 passivation, though inherently different, give stainless steel surfaces that show excellent corrosion resistance against gases.
Network calibration of embedded sensors (2010)

The focus of this project is to provide methods for calibration of sensor nodes in sensor networks. The importance of the calibration problem is to compensate for the sensor reading drifts that occur due to systematic errors, noise or sensor degradation. The objective is to provide calibration techniques that apply on collaborative sensors autonomously, i.e. without supervision. Our work involves: (a) distributed procedures to identify erroneous sensors; and (b) a simulator framework for a sensor net drift calibration setups.