gebhart/patrepeval huggingface dataset:
Nothing is for Free: Security in Searching Shared and Encrypted Data (2014)

Most existing symmetric searchable encryption schemes aim at allowing a user to outsource her encrypted data to a cloud server and delegate the latter to search on her behalf. These schemes do not qualify as a secure and scalable solution for the multiparty setting, where users outsource their encrypted data to a cloud server and selectively authorize each other to search. Due to the possibility that the cloud server may collude with some malicious users, it is a challenge to have a secure and scalable multiparty searchable encryption (MPSE) scheme. This is shown by our analysis on the Popa-Zeldovich scheme, which says that an honest user may leak all her search patterns even if she shares only one of her documents with another malicious user. Based on our analysis, we present a new security model for MPSE by considering the worst case and average-case scenarios, which capture different server-user collusion possibilities. We then propose a MPSE scheme by employing the bilinear property of Type-3 pairings and prove its security based on the bilinear Diffie-Hellman variant and symmetric external Diffie-Hellman assumptions in the random oracle model.
Differentiating N-linked glycan structural isomers in metastatic and nonmetastatic tumor cells using sequential mass spectrometry (2008)

In an effort to understand the role of molecular glycosylation in cancer a murine model has been used to characterize and fingerprint malignancies in established cell lines that manifest all the hallmarks of metastatic disease: spontaneous development, local invasion, intravasation, immune system survival, extravasation, and secondary tumor formation involving liver, kidney, spleen, lung, and brain. Using astrocyte cell controls, we compared N-linked glycosylation from a nonmetastatic brain tumor cell line and two different metastatic brain tumor cells. Selected ions in each profile were disassembled by ion trap mass spectrometry (MS(n)) which exhibited multiple structural differences between each tissue. These unique structures were identified within isomeric compositions as pendant nonreducing termini of di- and trisaccharide fragments, probably transparent to a tandem MS approach but distinctively not to sequential ion trap MS(n) detection.
Smart Powder Processing for Advanced Materials (2009)

Smart powder processing stands for novel powder processing techniques that create advanced materials with minimal energy consumption and environmental impacts. Particle bonding technology is a typical smart powder processing technique to make advanced composites. The technology has two main unique features. Firstly, it creates direct bonding between particles without any heat support or binders of any kind in the dry phase. The bonding is achieved through the enhanced particle surface activation induced by mechanical energy, in addition to the intrinsic high surface reactivity of nanoparticles. Using this feature, desired composite particles can be successfully fabricated. The second feature of this technology is its ability to control the nano/micro structure of the assembled composite particles. As a result, it can custom various kinds of nano/micro structures and can produce new materials with a simpler manufacturing process in comparison to wet chemical techniques. In this paper, its application examples for making advanced materials will be explained.These two features lead to the achievement of minimizing energy consumption and environmental impacts when producing advanced materials. By making use of the particle bonding principle, a new one-pot processing method to synthesize nanoparticles without applying extra heat was developed. Furthermore, by carefully controlling the bonding between different kinds of materials in the composite particles, effective separation of elemental components can be achieved. It leads to the development of a novel technique for recycling advanced composite materials and turns them to high-functional applications. In this paper, these approaches will also be introduced. It is our goal to signify the particle bonding technology as a potential advanced processing technique for producing powder materials.
The efficacy and tolerability of sildenafil in patients with moderate-to-severe pulmonary hypertension. (2003)

Sildenafil improves exercise capacity and symptoms, and decreases pulmonary artery pressures in patients with primary or secondary pulmonary hypertension of varied etiology.
Low damage patterning of In0.53Ga0.47As film for its integration as n-channel in a fin metal oxide semiconductor field effect transistor architecture (2018)

One of the challenges of InGaAs integration as a channel in a fin field effect transistor architecture is the patterning of the III–V fin with nanometer scale definition, vertical sidewalls, and undamaged surfaces. In this work, the authors propose a two-step process to etch anisotropically and with minimal damage thin layers of InGaAs material. The first step of the process aims to modify the InGaAs surface on a well-defined thickness with limited sputtering by implanting light ions generated by a low pressure He/O2 plasma. The depth of the material modification is well controlled by the ion energy and saturates with process time, giving to this step a self-limited behavior. The second step uses aqueous HF solution to remove the modified oxidized InGaAs layer with infinite selectivity over the nonmodified InGaAs layer. The repetition of cycles of the two-step process was applied to etch the thin film of InGaAs as well as pattern using a SiN hard mask. Blanket experiments show that each cycle of the two-step process allows to remove a fixed and reproducible InGaAs thickness of 5.7 nm, while blanket SiN films are not consumed. After the process, the InGaAs surface roughness is kept intact, but the surface stoichiometry is slightly degraded with Arsenic enrichment because of the wet chemical reactions between the III-As semiconductors and the acids. The results on the pattern show that it is possible to transfer the SiN hard mask into the InGaAs layer using cycles of the two-step process with a reproducible consumed InGaAs thickness at each cycle and low sidewalls surface damage. However, the process leads to tapered InGaAs profile because of the lateral consumption of the SiN hard mask due to preferential sputtering at grazing incidence angle.
Anionic Photopolymerization of Methyl 2-Cyanoacrylate and Simultaneous Color Formation (2000)

Anionic polymerization of methyl 2-cyanoacrylate initiated by photoinduced heterolysis of crystal violet leuconitrile (CVCN) and of malachite green leucohydroxide (MGOH) is demonstrated. Polymerization is accompanied by color formation.
Predicting Coordinated Actuated Traffic Signal Change Times using LSTM Neural Networks (2020)

Vehicle acceleration and deceleration maneuvers at traffic signals results in significant fuel and energy consumption levels. Green light optimal speed advisory systems require reliable estimates of signal switching times to improve vehicle fuel efficiency. Obtaining these estimates is difficult for actuated signals where the length of each green indication changes to accommodate varying traffic conditions. This study details a four-step Long Short-Term Memory deep learning-based methodology that can be used to provide reasonable switching time estimates from green to red and vice versa while being robust to missing data. The four steps are data gathering, data preparation, machine learning model tuning, and model testing and evaluation. The input to the models included controller logic, signal timing parameters, time of day, traffic state from detectors, vehicle actuation data, and pedestrian actuation data. The methodology is applied and evaluated on data from an intersection in Northern Virginia. A comparative analysis is conducted between different loss functions including the mean squared error, mean absolute error, and mean relative error used in LSTM and a new loss function is proposed. The results show that while the proposed loss function outperforms conventional loss functions in terms of overall absolute error values, the choice of the loss function is dependent on the prediction horizon. In particular, the proposed loss function is outperformed by the mean relative error for very short prediction horizons and mean squared error for very long prediction horizons.
WellCom: When Mobile Terminals Meet Television (2009)

The Eureka-ITEA2 WellCom project addresses issues related to the creation, delivery and management of advanced multimedia applications and services in the context of distributed home environment. To enable the delivery of such services with the required quality and security, WellCom proposes to push a part of the service logic as close as possible to the end-user. The paper presents some results of the WellCom project enabling to create synergies between the TV screen displaying multimedia content and mobile terminals. A unique experience with new types of group interactions (i.e. advanced local and community services) will be proposed.
Sulphation of jute Cellulose (1974)

Department of Chemistry, University of Dacca, Dacca-2, Bangladesh <em>Manuscript received 4 August 1973; accepted 9 November 1973</em> Sulphation of purified jute cellulose with chlorosulphonic acid, pyridine-SO<sub>3</sub> complex and concentrated sulphuric acid in the presence of different diffents were studied. Concentrated sulphuric acid in the presence of \(n\)-butyl alcohol along with some added water gave the best results when the reactions were carried out at 7° for 45 min. The effect of varying amounts of added water was studied, and the maximum sulphation was obtained with a cellulose/water ratio of 1 : 1. The product was white, semi-crystalline and soluble in water and had a degree of sub­stitution of 2.0.
Pure strain effect on differential gain of strained InGaAsP/InP quantum-well lasers (1993)

The effect of pure strain on the differential gain of strained InGaAsP/InP quantum-well lasers (QWLs) is analyzed on the basis of the valence band structures calculated by k*p theory. By using an InGaAsP quaternary compound as an active layer, it becomes possible to study the relationship between the differential gain and strain (both tensile and compressive) when both the quantum-well thickness and the emission wavelength are kept constant. It is shown that the tensile strain not only reduces the density of states in the valence band but also increases the energy spacings between the first two valence subbands. It is concluded that tensile strain has a more pronounced impact on the improvement of differential gain in InP-based, strained QWLs as compared with compressive strain.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Half-Mode Substrate Integrated Waveguide (HMSIW) Leaky-Wave Antenna for Millimeter-Wave Applications (2008)

A novel leaky-wave antenna is demonstrated and developed at Ka-band in this work based on the newly proposed half-mode substrate integrated waveguide (HWSIW). This antenna is accurately simulated by using a full-wave electromagnetic simulator and then fabricated through a single-layer printed circuit board (PCB) process. Wide bandwidth and a quasi-omnidirectional radiation pattern are obtained. The proposed antenna is therefore a good candidate for millimeter-wave applications. Measured results are in good agreement with simulated results.
On Predicting Software Related Performance of Large-Scale Systems. (1984)

To achieve precise alignment, tracking and pointing, inter-satellite laser communication generally requires a two-dimensional gimbal. To satisfy the requirements of space applications, the gimbal needs to be high-precision and as small as possible. To meet this need, we designed a small and lightweight gimbal assembly. We adopted piezoelectric ceramic motors instead of a torque motor to ensure driving precision and effectively reduce the mass of the drive unit. The yoke was made from low-volume fraction SiCp/Al with excellent specific stiffness, which ensured rigidity and reduced the mass of the structure. This allowed us to reduce the mass of the gimbal to just 5.8 kg. With a laser communication head mass of 5.55 kg, this gave a load-to-gimbal mass ratio of 95.7%. We carried out experiments on our small and lightweight gimbal, followed by a finite element analysis. The results of vibration test and shaking test showed that the structure has adequate stiffness and high precision.
Deep Learning Based Exposure Correction for Image Exposure Correction with Application in Computer Vision for Robotics (2018)

This paper presents a convolutional neural network that is able to minimize the effects of poorly exposed digital images in post processing, outperforming state-of-the-art networks on two different conditions: images that are too dark, and images where the irradiance exceeds both the lower and upper bounds of the sensor. The scene's illumination, camera aperture, exposure time, and ISO sensitivity present a direct impact on the quality of the resulting image. Optimize these parameters, however, is a challenging task, which often leads to images that are either too bright, too dark or out of focus. In order to restore over-exposed and under-exposed images, we propose a Generative Adversarial Network (GAN) which learns how to restore an image, preserving and enhancing the contents of the input image, as well as complete regions where data was completely lost due to clipping. Our results show the proposed network is able to enhance color, fulfill regions with missing data, and preserve structural details.
miR-206 Inhibits Stemness and Metastasis of Breast Cancer by Targeting MKL1/IL11 Pathway (2016)

<b>Purpose:</b> Effective targeting of cancer stem cells is necessary and important for eradicating cancer and reducing metastasis-related mortality. Understanding of cancer stemness-related signaling pathways at the molecular level will help control cancer and stop metastasis in the clinic.<b>Experimental Design:</b> By analyzing miRNA profiles and functions in cancer development, we aimed to identify regulators of breast tumor stemness and metastasis in human xenograft models <i>in vivo</i> and examined their effects on self-renewal and invasion of breast cancer cells <i>in vitro</i> To discover the direct targets and essential signaling pathways responsible for miRNA functions in breast cancer progression, we performed microarray analysis and target gene prediction in combination with functional studies on candidate genes (overexpression rescues and pheno-copying knockdowns).<b>Results:</b> In this study, we report that hsa-miR-206 suppresses breast tumor stemness and metastasis by inhibiting both self-renewal and invasion. We identified that among the candidate targets, twinfilin (<i>TWF1</i>) rescues the miR-206 phenotype in invasion by enhancing the actin cytoskeleton dynamics and the activity of the mesenchymal lineage transcription factors, megakaryoblastic leukemia (translocation) 1 (MKL1), and serum response factor (SRF). MKL1 and SRF were further demonstrated to promote the expression of <i>IL11</i>, which is essential for miR-206's function in inhibiting both invasion and stemness of breast cancer.<b>Conclusions:</b> The identification of the miR-206/TWF1/MKL1-SRF/IL11 signaling pathway sheds lights on the understanding of breast cancer initiation and progression, unveils new therapeutic targets, and facilitates innovative drug development to control cancer and block metastasis. <i>Clin Cancer Res; 23(4); 1091-103. ©2016 AACR</i>.
AES Cardless Automatic Teller Machine (ATM) Biometric Security System Design Using FPGA Implementation (2016)

Automated Teller Machine (ATM) is an electronic banking outlet that allows bank customers to complete a banking transactions without the aid of any bank official or teller. Several problems are associated with the use of ATM card such card cloning, card damaging, card expiring, cast skimming, cost of issuance and maintenance and accessing customer account by third parties. The aim of this project is to give a freedom to the user by changing the card to biometric security system to access the bank account using Advanced Encryption Standard (AES) algorithm. The project is implemented using Field Programmable Gate Array (FPGA) DE2-115 board with Cyclone IV device, fingerprint scanner, and Multi-Touch Liquid Crystal Display (LCD) Second Edition (MTL2) using Very High Speed Integrated Circuit Hardware (VHSIC) Description Language (VHDL). This project used 128-bits AES for recommend the device with the throughput around 19.016Gbps and utilized around 520 slices. This design offers a secure banking transaction with a low rea and high performance and very suited for restricted space environments for small amounts of RAM or ROM where either encryption or decryption is performed.
Pore size effect of mesoporous silica stationary phase on the separation performance of microfabricated gas chromatography columns (2018)

Microfabricated semi-packed gas chromatography (GC) columns coated with two kinds of mesoporous silica (MS) stationary phase have been explored and compared in this paper. The micro GC (μGC) columns are fabricated by microelectromechanical system (MEMS) technique. MSs with pore size of 2 and 5 nm are prepared using two different soft-templates and deposited on the inner surface of the μGC columns by dip-coating. For the first time, the influence of pore size of MS stationary phase on the separation performance in a μGC column has been investigated. As demonstrated, the mixtures of light alkanes (C1-C4) or heavy alkanes (C5-C10) can be well separated in both columns, where the separation resolution is always higher than 1.25 except for C1-C2 and C5-C6. Considering the pore size effect on the separation performance, it is shown that analytes, especially those with bigger size, display longer retention time in the column with larger pore size. For C10, the retention time in 5 nm-MS column is 200% longer than that in 2 nm-MS one.
Propagation of Electromagnetic Waves Along a Drillstring of Finite Conductivity (1987)

Summary An evaluation of the electromagnetic communication capability of a drillstring used to transmit data from the bottom to the surface of a well, or measurement while drilling (MWD), must take into account the finite conductivity and permeability of the drillstring. The choice of frequency is a compromise between a relatively fast transmission rate and a great depth of operation. Theory and experiments show that, because of the finite conductivity of the drillpipe, decreasing the frequency below a few hertz does not improve the communication because the current distribution along the string remains nearly constant. The current distribution has been resolved numerically by a matrix formulation that takes into account the series or internal impedance of the drill, and a comparison with experimental results has been made.
Single-cell genome-wide bisulfite sequencing uncovers extensive heterogeneity in the mouse liver methylome (2016)

By employing a protocol for whole-genome bisulfite sequencing of single cells, we show that the liver epigenome is highly unstable with an epivariation frequency in DNA methylation patterns of at least two orders of magnitude higher than somatic mutation frequencies.
A review of real-time EEG sonification research (2013)

Over the last few decades there has been steady growth in research that addresses the real-time sonification of electroen-cephalographic (EEG) data. Diverse application areas include medical data screening, Brain Computer Interfaces (BCI), neuro-feedback, affective computing and applications in the arts. The present paper presents an overview and critical review of the prin-cipal research to date in EEG data sonification. Firstly, we iden-tify several sub-domains of real-time EEG sonification and dis-cuss their diverse approaches and goals. Secondly, we describe our search and inclusion criteria, and then present a synoptic summary table spanning over fifty different research projects or published research findings. Thirdly, we analyze sonification approaches to the various EEG data dimensions such as time-frequency filter-ing, signal level, location, before going on to consider higher or-der EEG features. Finally, we discuss future application domains which may benefit from new capabilities in the real-time sonifica-tion of EEG data. We believe that the present critical review may help to reduce research fragmentation and may aid future collabo-ration in this emerging multidisciplinary area. 1.
Obtaining More Realistic Cross-Layer QoS Measurements: A VoIP over LTE Use Case (2013)

We introduce a real-time experimentation testbed in this paper which enables more realistic analysis of quality of service (QoS) in LTE networks. This testbed is envisioned for the improvement of QoS and quality of experience (QoE) through the experimentation with real devices, services, and radio configurations. Radio configurations suggested in the literature typically arise from simulations; the testbed provides a real and controlled testing environment where such configurations can be validated. The added value of this testbed goes a long way not only in the provision of more realistic results but also in the provision of QoS and QoE cross-layer measurements through the correlation of information collected at different layers: from service and IP levels to radio and protocol parameters. Analyzing the interlayer dependencies will allow us to identify optimal settings for the radio access network and service parameters. This information can be used to suggest new cross-layer optimizations to further improve quality of experience of mobile subscribers. As a use case, we examine VoIP service over LTE, which is currently an open issue.
Optical system for fast inspection of hermetic seals in electronic packages (2010)

Microelectronic devices and components require hermetic packaging for mechanical protection and thermal dissipation. A hermetic packaging also prevents the intrusion of atmospheric contaminants such as moisture and airborne particles, thereby mitigating their attack on the enclosed delicate electronic components. Imperfect hermetic sealing, however, allows moisture and other impurities to migrate into the package and cause microcircuit malfunctions. This malfunction is often experienced in automobiles where the microchips and microelectronic devices are exposed to hostile environments. To date, testing of hermetic seals of microelectronic packages is achieved primarily through fluorocarbon fluid, helium and even radioisotope leak detection, which are cumbersome and risky in operation, therefore unemployable on production lines. In this paper, a laser based optical system is presented for rapid evaluation of hermetic seals. The proposed system is composed of a partial vacuum chamber and a shearographic camera. During testing, the electronic packages are placed inside the chamber and the shearographic camera is used to monitor the packages through a transparent glass window. The package under test is then stressed by an air pressure change. With the pressure change maintained, the lid of a perfectly sealed package will remain deformed while a leaky package will not hold the deformation and recover gradually, which can be monitored by shearography. Hence, by measuring the deformation of the packages' surface as a function of time, package leaks and the extent of leakage can be revealed in seconds. This leak testing is fast and practical and can be extended for testing of pharmaceutical packages, food packages, etc.