gebhart/patrepeval huggingface dataset:
P‐61: Organic Light Emitting Display using an Image Reversal Photoresist of Polyhydroxystyrene (2006)

Abstract We have developed a 2.23″ QCIF+ Full Color PMOLED with a single isolation layer using an image reversal photoresist based on polyhydroxystyrene of high thermal stability. Compared to the conventional two‐layered process, the fabrication processes are reduced to about 70% since insulators and cathode separators are formed simultaneously with a single layer of an image reversal photoresist.
Resistance Training during Chemotherapy with Doxorubicin (2020)

Low-intensity RT may attenuate the decline in skeletal muscle function during incremental DOX treatment.
Approach to Low-Cost High-Efficiency OLED Lighting. Building Technologies Solid State Lighting (SSL) Program Final Report (2017)

This project developed an integrated substrate which organic light emitting diode (OLED) panel developers could employ the integrated substrate to fabricate OLED devices with performance and projected cost meeting the MYPP targets of the Solid State Lighting Program of the Department of Energy. The project optimized the composition and processing conditions of the integrated substrate for OLED light extraction efficiency and overall performance. The process was further developed for scale up to a low-cost process and fabrication of prototype samples. The encapsulation of flexible OLEDs based on this integrated substrate was also investigated using commercial flexible barrier films.
Bioreduktion von AuCl4−-Ionen zu Au-Nanopartikeln durch eine Verticillium-Pilzart D.M. and S.S. danken dem Council of Scientific and Industrial Research (CSIR) der indischen Regierung für finanzielle Unterstützung. (2001)

Goldproduzierende Pilze! Eine „grüne“ Methode zur Herstellung von Au-Nanopartikeln wird beschrieben, die auf der Bioreduktion von AuCl4−-Ionen mit Hilfe des Pilzes Verticillium sp. basiert. Die TEM-Aufnahme zeigt eine einzelne Verticillium-Zelle nach der Reaktion mit Au-Ionen, bei der die entstehenden Nanopartikel an der Zellwand und an der cytoplasmatischen Membran eingefangen werden.
Selective Exhaust Gas Recycle with Membranes for CO2 Capture from Natural Gas Combined Cycle Power Plants (2012)

Low natural gas prices are contributing to rapid growth in natural gas combined cycle (NGCC) power production in the United States. CO2 capture from the exhaust gas of these plants is complicated by the relatively low CO2 concentration in this flue gas (3%–4%). A membrane process using incoming combustion air as a sweep stream in a selective exhaust gas recycle configuration can be used to preconcentrate CO2 from 4% to 15%–20% with almost no energy input. Depending on the process configuration, the selective recycle membrane design reduces the minimum energy of a CO2 capture step by up to 40%. An all-membrane design using a capture step in series with a selective recycle membrane can capture 90% of CO2 from an NGCC power plant using less energy and at a lower cost than the base-case amine process analyzed by the U.S. Department of Energy. The current state-of-the-art membranes for use in this process have a CO2 permeance of 2200 gpu and a CO2/N2 selectivity of 50. Higher CO2 permeance will improve the economics and reduce the footprint of a membrane CO2 capture system, while higher CO2/N2 selectivity is of less benefit, because the process is limited by the affordable pressure ratio.
Light emission from silicon/gold nanoparticle systems (2010)

Photoluminescent nanostructured semiconductor/metal systems consisting of silicon nanocrystals and gold nanoparticles are obtained by gold-catalyzed chemical etching. The interplay between silicon and gold nanostructures is investigated by photoluminescence spectroscopy upon continuous and pulsed excitation, both at room and low temperature. Comparison with reference samples, obtained removing gold particles by selective etching, highlights an enhanced emission in samples containing silicon and gold nanoparticles, explained in terms of both surface modifications and optical coupling between emitting nanocrystals and nanoparticles featuring localized plasmon resonances.
Optimizing sparse allocation for radar spectrum sharing (2016)

Increasing demand by wireless communication applications for spectrum bands predominately occupied by radar applications has led to challenging resource allocation issues in the congested spectrum environment. A new resource allocation scheme based on Marginal Fisher's Information (MFI), is proposed to address the issue of spectrum congestion. Using MFI, which in some cases is identical to integrated sidelobe level (ISL), as the optimization metric, a Sparse Spectrum Allocation algorithm is shown to optimally reallocate a sparse bandwidth while ensuring range resolution performance is maintained and minimizing the degradation in sidelobe performance.
Hydraulic Hybrid Powertrain-In-the-Loop Integration for Analyzing Real-World Fuel Economy and Emissions Improvements (2011)

&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;The paper describes the approach, addresses integration challenges and discusses capabilities of the Hybrid Powertrain-in-the-Loop (H-PIL) facility for the series/hydrostatic hydraulic hybrid system. We describe the simulation of the open-loop and closed-loop hydraulic hybrid systems in H-PIL and its use for concurrent engineering and development of advanced supervisory strategies. The configuration of the hydraulic-hybrid system and details of the hydraulic circuit developed for the H-PIL integration are presented. Next, software and hardware interfaces between the real components and virtual systems are developed, and special attention is given to linking component-level controllers and system-level supervisory control. The H-PIL setup allows imposing realistic dynamic loads on hydraulic pump/motors and accumulator based on vehicle driving schedule. Application of fast analyzers allows characterization of the impact of dynamic interactions in the propulsion system on engine-out emissions. Therefore, the H-PIL facility allows optimization of the hybrid system for both high-efficiency and low emissions. The impetus is provided by previous work showing that more than half of the soot emissions from a conventional diesel powertrain over the urban driving schedule can be attributed to transients. The setup includes a 6.4L V-8 International diesel engine, highly dynamic dynamometer, Radial piston pump/motors supplied by Bosch-Rexroth and dSPACE real-time environment with in-house developed simulation of the virtual vehicle.&lt;/div&gt;&lt;/div&gt;
Reduced binding of immunoglobulin A (IgA) from patients with primary IgA nephropathy to the myeloid IgA Fc-receptor, CD89 (1998)

The reduced binding of mIgA to CD89 seems to contradict a direct role for CD89 in deposition of IgA. However reduced binding of mIgA to CD89 may affect IgA clearance, leading to higher serum IgA. Furthermore, since it has been demonstrated that mIgA can interfere with binding of di- and pIgA, CD89 could still contribute to pIgA deposition in the mesangial area.
Anti-Quorum Sensing Activities of Gliptins against Pseudomonas aeruginosa and Staphylococcus aureus (2022)

The development of bacterial resistance to traditional antibiotics constitutes an emerging public health issue. Promising approaches have been innovated to conquer bacterial resistance, and targeting bacterial virulence is one of these approaches. Bacterial virulence mitigation offers several merits, as antivirulence agents do not affect the growth of bacteria and hence do not induce bacteria to develop resistance. In this direction, numerous drugs have been repurposed as antivirulence agents prior to their clinical use alone or in combination with traditional antibiotics. Quorum sensing (QS) plays a key role in controlling bacterial virulence. In the current study, dipeptidase inhibitor-4 (DPI-4) antidiabetic gliptins were screened for their antivirulence and anti-quorum sensing (anti-QS) activities against Gram-negative <i>Pseudomonas aeruginosa</i> and Gram-positive <i>Staphylococcus aureus</i>. Upon assessing their antibiofilm activities, the ten tested gliptins significantly diminished biofilm formation. In particular, sitagliptin exhibited the most efficient antibiofilm activity, so it was chosen as a representative of all gliptins to further investigate its antivirulence activity. Sitagliptin significantly protected mice from <i>P. aeruginosa</i> and <i>S. aureus</i> pathogenesis. Furthermore, sitagliptin downregulated QS-encoding genes in <i>P. aeruginosa</i> and <i>S. aureus</i>. To test the anti-QS activities of gliptins, a detailed molecular docking study was conducted to evaluate the gliptins' binding affinities to <i>P. aeruginosa</i> and <i>S. aureus</i> QS receptors, which helped explain the anti-QS activities of gliptins, particularly sitagliptin and omarigliptin. In conclusion, this study evaluates the possible antivirulence and anti-QS activities of gliptins that could be promising novel candidates for the treatment of aggressive Gram-negative or -positive bacterial infections either alone or as adjuvants to other antibiotics.
B308 Forearm Motion Discrimination Technique Using Real-Time EMG Signals (2011)

The objective of this study is to develop a method of discriminating real-time motion from electromyogram (EMG) signals. We previously proposed a motion discrimination method. This method could discriminate five motions (hand opening, hand closing, hand chucking, wrist extension, and wrist flexion) at a rate of above 90 percent from four channel EMG signals in the forearm. The method prevents elbow motions from interfering with hand motion discrimination. However, discrimination processing time of this method is more than 300 ms, and the shortest delay time that is perceivable by the user is generally regarded to be roughly 300 ms. Furthermore, a robot hand has a mechanical delay time. Thus, the discrimination time should be less than 300 ms. Here, we propose a real-time motion discrimination method using a hyper-sphere model. In comparison with the old model, the hyper-sphere models can make more complex decision regions which can discriminate at the state of the motion. Furthermore, this model can learn EMG signals in real-time. We experimentally verified that the discrimination accuracies of this method were above 90 percent. Moreover, elbow motions did not interfere with the hand motion discrimination. The discrimination processing time was less than 300 ms, and was about 30 percent shorter than that of the old method.
Feasibility of unzipping polymer polyphthalaldehyde for extreme ultraviolet lithography (2021)

Background: Polyphthalaldehyde (PPA)-based systems can be interesting candidates for extreme ultraviolet (EUV) lithography as dry development resists with simple chemistry. Aim: We present EUV-induced mechanistic and contrast curve studies for the end-capped PPA. Approach: Fourier transform infrared (FTIR) spectroscopy and desorption studies were conducted to understand the EUV-induced mechanistic pathway. Although, contrast curve analysis was used to check its feasibility for EUV-patterning. Results: First, FTIR and desorption studies confirmed that the EUV-radiation is capable to remove the end-capping group and induce unzipping (direct depolymerization) reaction in the PPA polymer chain. Second, contrast curve analysis showed a gradual decrease in the film thickness with respect to the EUV dose, which is due to the low EUV sensitivity of the PPA polymer. A post exposure bake step is important to improve the contrast curve, as it helps to depolymerize any residual polymer remaining after exposure. Further, even though the polymer sublimates when exposed to the EUV radiation, eliminating the need to apply a wet development step, crosslinking at high doses causes deposition of residual film onto the wafer surface. Therefore, a thin film (below 20 nm) and a wet development process might be important to get clean patterns. Conclusion: This study confirms that the end-capped PPA, with a simple patterning mechanism, can be a useful system for the development of new dry development resists for EUV lithography.
Using column generation and Rosen`s partitioning method to solve large multi-commodity network flow problems (1994)

This talk will discuss a specialization of Rosen`s Partitioning Method designed to exploit the structure of multi-commodity network flow problems. The multi-commodity problem we address, prevalent in the telecommunications industry, defines each commodity as the flow from an origin to a destination. The solution method uses shortest path column generation and constraint relaxation to reduce the number of rows of the master problem to the number of capacitated edges in the network. Each stage of the algorithm consists of a column generation phase followed by a dual ascent step which results in a dual feasible basis. Computational results comparing variants of this method to standard shortest path formulations for providing solutions to the LP relaxation will be shown. The specialized branch-and-bound algorithm for generating minimum-cost unique path solutions will also be discussed.
A European Study of the Performance and Safety of MINIject in Patients With Medically Uncontrolled Open-angle Glaucoma (STAR-II) (2020)

Ab-interno supraciliary surgical implantation using MINIject DO627 in a stand-alone procedure significantly lowers IOP by 40% at the 6-month follow-up, while reducing the need for IOP-lowering medication.
ChemInform Abstract: Polysaccharides at Interfaces (2001)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Observation of Backscattering-Immune Tunnelling States Without External Magnetic Fields (2012)

A strategy is proposed to realize robust transport in a time reversal invariant photonic system. It is a counterpart to a similar problem that the topologically protected modes in electronic topological insulator.
Open versus minimally invasive surgery: a man-machine system approach (1999)

Minimally invasive surgery is one of the important developments in surgery. In this type of surgery, the actual operation is performed through a number of small incisions in the skin. Special instruments are inserted via trocars, i.e. tubes that allow the surgeon to bring instruments or sensors into the body. The view at the operating field comes from a camera presenting a two-dimensional image on a monitor. The minimally invasive surgical technique has many potential benefits for the patients. However, compared to open surgery there are severe disadvantages for the surgeon, such as the loss of three-dimensional visual feedback, the disturbed eye-hand co-ordination and the poor ergonomic design of the surgical instrumentation. At this moment the differences between open and minimally invasive surgery can mainly be ascribed to differences in the manual control task. In this paper, the man-machine aspects of the traditional open operation process will be compared with those of the minimally invasive surgery process. In particular, the consequences of the restricted perception in minimally invasive surgery will be discussed. This paper focuses on minimally invasive surgery in the abdomen (laparoscopic surgery); however, most of the findings also apply to other forms of minimally invasive surgery (e.g. heart or orthopaedic surgery). Some future developments will be discussed.
Bioorthogonal Radiopaque Hydrogel for Endoscopic Delivery and Universal Tissue Marking (2015)

A novel dual marking hydrogel system is reported for radiological and laparoscopic localization of lesions. Bioorthogonally crosslinked hydrogel containing both tantalum and India ink can be rapidly formed inside the body after injecting precursors, and stably located for several days as a long-term biocompatible carrier for markers.
Store-operate-coherence-on-value (2023)

A system, method and computer program product for performing various store-operate instructions in a parallel computing environment that includes a plurality of processors and at least one cache memory device. A queue in the system receives, from a processor, a store-operate instruction that specifies under which condition a cache coherence operation is to be invoked. A hardware unit in the system runs the received store-operate instruction. The hardware unit evaluates whether a result of the running the received store-operate instruction satisfies the condition. The hardware unit invokes a cache coherence operation on a cache memory address associated with the received store-operate instruction if the result satisfies the condition. Otherwise, the hardware unit does not invoke the cache coherence operation on the cache memory device.
The electronic structure of oxygen in silicon as revealed by volume visualization of Ab initio calculations (1991)

We apply volumetric rendering to the interpretation of atomic-scale data generated from quantum molecular dynamics computations. In particular, we examine silicon computations, and we discover that volumetric visualization of the computed 3D electronic charge density is a valuable tool for identifying defect states in silicon lattices in which oxygen atoms occur as impurities. Rendering of several judiciously selected ranges of charge density in translucent colors provides an effective means of identifying broken or altered molecular bonds and induced charge excesses in the lattice. The resulting 3D images reveal important features missed previously in 2D charge density contour maps. We find that stereoscopic blink comparison of image pairs is an extremely valuable way to study the structural differences among various configurations and that time animation provides significant in sight into the molecular dynamics. We conclude that our success with silicon implies that the technique has the potential to provide a significant benefit to other problems in computational condensed matter physics.
Deep Learning for Document Image Analysis (2019)

Automatic machine understanding of documents from image inputs enables many applications in modern document workflows, digital archives of historical documents, and general machine intelligence, among others. Together, the techniques for understanding document images comprise the field of Document Image Analysis (DIA). Within DIA, the research community has identified several sub-problems, such as page segmentation and Optical Character Recognition (OCR). As the field has matured, there has been a trend of moving away from heuristic-based methods, designed for particular tasks and domains of documents, and moving towards machine learning methods that learn to solve tasks from examples of input/output pairs. Within machine learning, a particular class of models, known as deep learning models, have established themselves as the state-of-the-art for many image-based applications, including DIA. While traditional machine learning models typically operate on features designed by researchers, deep learning models are able to learn task-specific features directly from raw pixel inputs.This dissertation is collection of papers that proposes several deep learning models to solve a variety of tasks within DIA. The first task is historical document binarization, where an input image of a degraded historical document is converted to a bi-tonal image to separate foreground text from background regions. The next part of the dissertation considers document segmentation problems, including identifying the boundary between the document page and its background, as well as segmenting an image of a data table into rows, columns, and cells. Finally, a variety of deep models are proposed to solve recognition tasks. These tasks include whole document image classification, identifying the font of a given piece of text, and transcribing handwritten text in low-resource languages.
P150 THE HUMAN FC GAMMA RIIA H131 POLYMORPHISM IS A NEONATAL RECEPTOR (FCRN)-DEPENDENT HIGH RESPONDER VARIANT IN INFLAMMATORY BOWEL DISEASE. (2019)

Human FcγRIIa (CD32a) contains a prevalent and clinically relevant polymorphism, possessing either a histidine (H) (CD32aH)- or arginine (R) (CD32aR) at amino acid position 131. Individuals expressing the CD32aH variant have higher risk of Crohn’s disease and ulcerative colitis through unknown mechanisms. We show that CD32aH binds IgG immune complexes (IC) more actively than its counterpart, CD32aR, especially in acidic environments typical of intracellular endosomes that process IC in antigen presenting cells (APC) for antigen presentation and downstream activation of T cells. We further found that IC-induced APC functions associated with CD32a required the presence of an endosomal IgG receptor, the neonatal Fc receptor (FcRn). Under acidic conditions in which FcRn normally operates, FcRn was found to form a ternary complex with CD32a bridged by IC that determines APC function and T cell activation. Blockade of FcRn binding to IC in this ternary complex in APC with the anti-FcRn monoclonal antibody DVN24 significantly decreased APC stimulation of T cells in vitro. Importantly, compared to CD32aR-expressing APC, CD32aH-associated T cell activation by APC was more significantly inhibited by DVN24. Consistent with this, FcRn blockade by DVN24 more effectively ameliorated IgG-induced colitis in human transgenic mice expressing CD32aH compared to mice expressing CD32aR. These CD32a polymorphic variant-specific effects of FcRn blockade were further confirmed in an IgG-dependent mouse model of rheumatoid arthritis using CD32aH and CD32aR human transgenic mice. Thus, CD32aH more actively engages FcRn in a ternary complex with IgG IC compared to its allelic counterpart, CD32aR, and exhibits increased FcRn-dependence during IgG IC-induced disease. These studies carry important implications for the precision use of therapeutic antibodies based on CD32a haplotype and reveal a mechanism whereby CD32aH is the high-responder CD32a variant associated with Crohn’s disease and ulcerative colitis. The CD32aH variant binds (A) IgG and (B) FcRn more strongly and is more susceptible to FcRn blockade (C) in vitro and (D,E) in an IgG-mediated colitis model in vivo.
Towards an efficient spin-photon interface with near-deterministically engineered defects in diamond (2019)

In this work, we demonstrate two developments, in device and material engineering respectively, towards an efficient spin-photon device using colour centres in diamond for scalable quantum computing networks: firstly, we report the emission enhancement of the coherent zero-phonon-line transistion of an nitrogen vacancy centre in a diamond membrane on coupling to a tunable open-cavity; secondly, we present a new method for deterministic writing of NV arrays in bulk diamond with a 96% yield of single defects, a 50 nm positional accuracy in the image plane, and NV electron spin coherence (T2) times of up to 170 microseconds.