gebhart/patrepeval huggingface dataset:
Abstract 2398: Intra-lymph node DNA vaccination as a platform for safe and effective immunotherapy of cancer (2010)

Abstract The purpose of this study was to advance a novel immunotherapy platform technology that would achieve objective clinical response and allow subsequent elucidation of immune correlates of clinical responses. To this aim, we tested an immunotherapy approach encompassing sequential intra-lymph node administration of DNA vectors and peptide analogues to elicit multivalent CD8+ T cell immunity against cancer cell and stromal antigens. This included the assessment of safety, immune response and clinical outcome following treatment with two investigational regimens in patients with metastatic solid tumors such as melanoma, prostate, and renal clear cell carcinoma. Strikingly, T cell transcriptomal analysis by gene array and flow cytometry analysis in a preclinical model showed that DNA vaccination induced a distinct immunophenotype, compared to peptide vaccination. DNA vaccine-primed CD8+ T cells showed a coordinated, lower expression of co-inhibitory molecule PD-1 and retention of the lymph node homing molecule CD62L, leading to a significant persistence of antigen-specific T cells, cellular expansion and functional conversion to effector cells, upon peptide boosting. Secondly, both objective tumor regression and elevation of antigen-specific T cells were observed in immunized patients, although there was no strict correlation between these two outcomes. Instead, there was a disease stage dependency of the presence of T cells specific for Melan A / MART-1 in melanoma patients, with all stage IV M1a (lymphatic metastatic disease) patients exhibiting pre-existing T cells and responding to treatment through durable tumor regression. Significantly, T cells specific for both immunizing antigens, Melan A/MART-1 and Tyrosinase, were identifiable within regressing tumor lesions in these M1a patients. In contrast, the preponderance of pre-existing Melan A/MART-1 T cells in melanoma patients with visceral metastatic disease was less than 50% and no apparent tumor regression upon administration was observed. In a second parallel trial, co-immunization against PRAME and PSMA generated clinical response through disease stabilization in several patients with carcinoma and was mirrored by a persisting T cell immunity. In summary, these results lead to three major conclusions: first, design of synthetic active immunotherapies affording objective tumor regression is possible, thereby refuting the paradigm that such approaches can be effective only in earlier disease stage; second, a systemic, hypothesis-generating approach must be employed to uncover appropriate biomarker correlates; and third, DNA-based vaccination has the potential of being translated to safe and effective therapies for cancer. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 2398.
An X-band Low Phase Noise Oscillator Employing a Four-pole Elliptic-Response Microstrip Bandpass Filter (2007)

In this paper, a low phase noise planar oscillator employing an elliptic bandpass filter as a frequency stabilization element within its feedback loop is presented. The oscillator phase noise is significantly reduced by taking advantage of the group delay peaks formed at the passband edges of an elliptic filter. An X-band oscillator using a SiGe HBT packaged transistor has been designed and tested. At the oscillation frequency of 9 GHz, the measured phase noise is -140 dBc/Hz at 1 MHz offset frequency. The oscillator exhibits an output power of 3.5 dBm with a figure of merit of -204.4 dBc/Hz.
The relationship between internal domain sequences of &lt;italic&gt;piggyBac&lt;/italic&gt; and its transposition efficiency in BmN cells and &lt;italic&gt;Bombyx mori&lt;/italic&gt; (2010)

The piggyBac transposon, which includes terminal inverted repeat sequences and internal domain (ID) sequences, is widely used as a tool for insect transformation. To optimize this system for transgenic research on Bombyx mori, we examined the effects of the amount of the transposase plasmid and its ID sequences on the expression of green fluorescent protein (GFP). Four kinds of transposon plasmids, pB[A3GFP]-1 with the full length of ID sequences, pB[A3GFP]-2 having only the 3' ID sequence, pB[A3GFP]-3 without ID sequences, and pB[A3GFP]-4 containing 333 bp of the 5' ID sequence, and 179 bp of the 3' ID sequence were constructed with GFP as the marker. After transfecting these four plasmids into BmN cells, we analyzed the transfecting efficiency by comparing the GFP positive to negative cell ratio. Our results indicated that plasmid pB-4 got the highest ratio on the 22nd day. Moreover, the GFP positive to negative cell ratio increased with higher amount of transposase plasmid without overproduction inhibition. Furthermore, we injected three piggyBac transposon plasmids, pB[A3GFP]-1, pB[3xP3GFP]-3, and pB[3xP3RFP]-4 harboring different markers into preblastoderm stage eggs of B. mori, and found that the transformation efficiency of pB[3xP3RFP]-4 was 3.8 folds higher than pB[A3GFP]-1, whereas pB[3xP3GFP]-3 failed to produce transformants. Our results suggested that pB-4 may be one of the best piggyBac transposon plasmids currently available for germline transformation in B. mori.
Interface engineering using a neutral carbolong complex for efficient and stable p–i–n perovskite solar cells (2023)

A neutral carbolong complex boosts the efficiency of p–i–n perovskite solar cells to 22.7%, and greatly enhances device thermal stability.
Aggregate-based Training Phase for ML-based Cardinality Estimation (2022)

Abstract Cardinality estimation is a fundamental task in database query processing and optimization. As shown in recent papers, machine learning (ML)-based approaches may deliver more accurate cardinality estimations than traditional approaches. However, a lot of training queries have to be executed during the model training phase to learn a data-dependent ML model making it very time-consuming. Many of those training or example queries use the same base data, have the same query structure, and only differ in their selective predicates. To speed up the model training phase, our core idea is to determine a predicate-independent pre-aggregation of the base data and to execute the example queries over this pre-aggregated data. Based on this idea, we present a specific aggregate-based training phase for ML-based cardinality estimation approaches in this paper. As we are going to show with different workloads in our evaluation, we are able to achieve an average speedup of 90 with our aggregate-based training phase and thus outperform indexes.
Consistent Strain Fields in 3D Finite Element Analysis of Welds (1990)

Technical Briefs Consistent Strain Fields in 3D Finite Element Analysis of Welds A. S. Oddy, A. S. Oddy Metals Technology Laboratory, CANMET, Ottawa, Canada Search for other works by this author on: This Site PubMed Google Scholar J. M. J. McDill, J. M. J. McDill Carleton University, Ottawa, Canada. Search for other works by this author on: This Site PubMed Google Scholar J. A. Goldak J. A. Goldak Carleton University, Ottawa, Canada. Search for other works by this author on: This Site PubMed Google Scholar Author and Article Information A. S. Oddy Metals Technology Laboratory, CANMET, Ottawa, Canada J. M. J. McDill Carleton University, Ottawa, Canada. J. A. Goldak Carleton University, Ottawa, Canada. J. Pressure Vessel Technol. Aug 1990, 112(3): 309-311 https://doi.org/10.1115/1.2928631 Published Online: August 1, 1990 Article history Received: April 17, 1989 Revised: February 16, 1990 Online: June 17, 2008
Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories (2021)

The memory wall bottleneck is a key challenge across many data-intensive applications. Multi-level FeFET-based embedded non-volatile memories are a promising solution for denser and more energy-efficient on-chip memory. However, reliable multi-level cell storage requires careful optimizations to minimize the design overhead costs. In this work, we investigate the interplay between FeFET device characteristics, programming schemes, and memory array architecture, and explore different design choices to optimize performance, energy, area, and accuracy metrics for critical data-intensive workloads. From our cross-stack design exploration, we find that we can store DNN weights and social network graphs at a density of over 8MB/mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> and sub-2ns read access latency without loss in application accuracy.
A Fault Detection Algorithm Based on Artificial Neural Network Threshold Selection in Multi-Terminal DC Grids (2023)

The DC fault is one of the critical challenges in the High Voltage Multi-Terminal Direct Current (HV-MTDC) grid. The fixed value threshold used in some implementations may be affected by different grid conditions and thus causes errors in the fault detection procedure. This article offers a two-stage fault detection algorithm based on the integrated Artificial Neural Network (ANN) and Discrete Wavelet Transform (DWT) theory. The main innovations of the proposed method are: 1) Increasing the reliability of the fault detection operation by solving the fixed value threshold problems; 2) Offering high robustness against the wide range of fault resistances; 3) Providing bus protection capability and 4) Setting relays locally, and avoiding the requirement to high-speed communications links. Also, it offers DC fault detection in a short period of time. The performance of the proposed protection scheme has been ascertained via simulations in the MATLAB/Simulink environment. The results prove the robustness of the proposed method against noise disturbance, high resistance fault, and grid parameters variations.
ESEM Study of Magnetic Bubbles - Surface Morphological and Fluidic Aspects (2015)

Journal Article ESEM Study of Magnetic Bubbles - Surface Morphological and Fluidic Aspects Get access Zahava Barkay, Zahava Barkay Wolfson Applied Materials Research Center, Tel-Aviv University, Tel-Aviv 6997801, Israel Search for other works by this author on: Oxford Academic Google Scholar Yu Gao, Yu Gao Division of Bioengineering, School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637457, Singapore Search for other works by this author on: Oxford Academic Google Scholar Chenjie Xu, Chenjie Xu Division of Bioengineering, School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637457, Singapore Search for other works by this author on: Oxford Academic Google Scholar Claus-Dieter Ohl Claus-Dieter Ohl Division of Physics and Applied Physics, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore 637371, Singapore Search for other works by this author on: Oxford Academic Google Scholar Microscopy and Microanalysis, Volume 21, Issue S3, 1 August 2015, Pages 193–194, https://doi.org/10.1017/S1431927615001762 Published: 23 September 2015
Deep Neural Models for Illumination Estimation and Relighting: A Survey (2021)

Abstract Scene relighting and estimating illumination of a real scene for insertion of virtual objects in a mixed‐reality scenario are well‐studied challenges in the computer vision and graphics fields. Classical inverse rendering approaches aim to decompose a scene into its orthogonal constituting elements, namely scene geometry, illumination and surface materials, which can later be used for augmented reality or to render new images under novel lighting or viewpoints. Recently, the application of deep neural computing to illumination estimation, relighting and inverse rendering has shown promising results. This contribution aims to bring together in a coherent manner current advances in this conjunction. We examine in detail the attributes of the proposed approaches, presented in three categories: scene illumination estimation, relighting with reflectance‐aware scene‐specific representations and finally relighting as image‐to‐image transformations. Each category is concluded with a discussion on the main characteristics of the current methods and possible future trends. We also provide an overview of current publicly available datasets for neural lighting applications.
Security Usability Principles for Vulnerability Analysis and Risk Assessment (2007)

Usability is the weakest link in the security chain of many prominent applications. A set of security usability prin- ciples should therefore be considered when designing and engineering IT security solutions. When improving the us- ability of existing security applications, it is necessary to examine the underlying security technologies used to build them, and consider whether they need to be replaced by to- tally new security technologies that provide a better basis for good usability. This paper examines a set of security usability principles, proposes how they can be incorporated into the risk management process, and discusses the bene- fits of applying these principles and process to existing and future security solutions.
Advances in the Generation of Functional β-cells from Induced Pluripotent Stem Cells As a Cure for Diabetes Mellitus (2018)

Diabetes mellitus is one of the leading causes of death worldwide. Loss and functional failure of pancreatic β-cells, the parenchyma cells in the islets of Langerhans, progress diabetes mellitus. The increasing incidence of this metabolic disorder necessitates efficient strategies to produce functional β-cells for treating diabetes mellitus. Human induced Pluripotent Stem Cells (hiPSC), hold potential for treating diabetes ownig to their self-renewal capacity and the ability to differentiate into β- cells. iPSC technology also provides unlimited starting material to generate differentiated cells for regenerative applications. Progress has also been made in establishing in-vitro culture protocols to yield definitive endoderm, pancreatic endoderm progenitor cells and β-cells via different reprogramming strategies and growth factor supplementation. However, these generated β-cells are still immature, lack functional characteristics and exhibit lower capability in reversing the diseases conditions. Current methods employed to generate mature and functional β-cells include; use of small and large molecules to enhance the reprogramming and differentiation efficiency, 3D culture systems to improve the functional properties and heterogeneity of differentiated cells. This review details recent advancements in the generation of mature β-cells by reprogramming stem cells into iPSCs that are further programmed to β-cells. It also provides deeper insight into current reprogramming protocols and their efficacy, focusing on the underlying mechanism of chemical-based approach to generate iPSCs. Furthermore, we have highlighted the recent differentiation strategies both in-vitro and in-vivo to date and the future prospects in the generation of mature β-cells.
Real-time high dynamic range laser scanning microscopy (2016)

In conventional confocal/multiphoton fluorescence microscopy, images are typically acquired under ideal settings and after extensive optimization of parameters for a given structure or feature, often resulting in information loss from other image attributes. To overcome the problem of selective data display, we developed a new method that extends the imaging dynamic range in optical microscopy and improves the signal-to-noise ratio. Here we demonstrate how real-time and sequential high dynamic range microscopy facilitates automated three-dimensional neural segmentation. We address reconstruction and segmentation performance on samples with different size, anatomy and complexity. Finally, in vivo real-time high dynamic range imaging is also demonstrated, making the technique particularly relevant for longitudinal imaging in the presence of physiological motion and/or for quantification of in vivo fast tracer kinetics during functional imaging.
A highly efficient free radical approach to trisubstituted pyrrolidinones (1993)

The radical-mediated cyclisation of serine derived α-chloroamides has been found to be influenced in both yield and stereoselectivity by the nature of the substituent at the site of radical generation—radicals substituted at the α-position by methyl, phenyl and dichloro groups underwent smooth cyclisation to give excellent yield of pyrrolidinones in which the trans-C-2: C-3 isomer predominated—this procedure has potential application to a new synthesis of the kainoid amino acids.
Applications of high-power microwaves (1994)

New capabilities in high-power microwave generation principles and capabilities of relativistic microwave generators nonlinear microwave-plasma interactions electron cyclotron plasma heating and current drive in magnetically confining systems industrial processing of materials using microwave radiation the frontiers of high-energy physics research - TeV electron-positron colliders applications of high-power microwaves to modification and measurement of the atmosphere applications of high-power microwaves to enhanced radar systems.
NASA's Evolutionary Xenon Thruster (NEXT) Long-Duration Test as of 736 kg of Propellant Throughput (2012)

The NASA s Evolutionary Xenon Thruster (NEXT) program is developing the next-generation solar-electric ion propulsion system with significant enhancements beyond the state-of-the-art NASA Solar Electric Propulsion Technology Application Readiness (NSTAR) ion propulsion system to provide future NASA science missions with enhanced mission capabilities. A Long-Duration Test (LDT) was initiated in June 2005 to validate the thruster service life modeling and to qualify the thruster propellant throughput capability. The thruster has set electric propulsion records for the longest operating duration, highest propellant throughput, and most total impulse demonstrated. At the time of this publication, the NEXT LDT has surpassed 42,100 h of operation, processed more than 736 kg of xenon propellant, and demonstrated greater than 28.1 MN s total impulse. Thruster performance has been steady with negligible degradation. The NEXT thruster design has mitigated several lifetime limiting mechanisms encountered in the NSTAR design, including the NSTAR first failure mode, thereby drastically improving thruster capabilities. Component erosion rates and the progression of the predicted life-limiting erosion mechanism for the thruster compare favorably to pretest predictions based upon semi-empirical ion thruster models used in the thruster service life assessment. Service life model validation has been accomplished by the NEXT LDT. Assuming full-power operation until test article failure, the models and extrapolated erosion data predict penetration of the accelerator grid grooves after more than 45,000 hours of operation while processing over 800 kg of xenon propellant. Thruster failure due to degradation of the accelerator grid structural integrity is expected after groove penetration.
Quantitative comparison of C-X-C chemokines produced by endotoxin-stimulated human alveolar macrophages (1998)

The C-X-C chemokines are a structurally related and functionally redundant family of proteins with neutrophil chemotactic activity. Many of the C-X-C chemokines are produced by endotoxin-stimulated alveolar macrophages (AMs), but knowledge of their relative quantities and their relative contributions to the total chemotactic activity released from these cells is incomplete. Human AMs were stimulated with or without Escherichia coli endotoxin for 2, 4, 8, and 24 h. The mRNA sequences of interleukin (IL)-8, the 78-amino acid epithelial cell-derived neutrophil activator (ENA-78), growth-related protein (GRO) alpha, GRObeta, and GROgamma were cloned by PCR and identified by sequence analysis. The relative mRNA quantities were compared by Northern analysis, and IL-8 was found to predominate. Similarly, IL-8 protein concentrations in the cell supernatants were consistently higher than either the ENA-78 or GRO concentration, and by 24 h, IL-8 concentrations were 10-fold higher than those of the other C-X-C chemokines. Blocking polyclonal antibodies to IL-8 substantially reduced the chemotactic activity in the AM supernatants, whereas antibodies to ENA-78 and GRO had little or no effect. We conclude that IL-8 is the predominant C-X-C chemokine and the dominant neutrophil chemoattractant accumulating in 24-h supernatants of lipopolysaccharide-stimulated human AMs. These studies provide insight into potentially effective strategies of interrupting AM-derived inflammatory signals in the lungs.
Matrix metalloproteinase-mediated regulation of programmed-death ligand in the human head and neck squamous cell carcinoma microenvironment (2018)

Background: Recurrent and/or metastatic head and neck squamous cell carcinoma (R/M HNSCC) is a devastating malignancy with a poor prognosis. According to recent clinical studies, tumour growth can be effectively reduced and survival can be improved by blocking the programmed death receptor 1 (PD-1)/programmed death-ligand 1 (PD-L1) pathway. However, anti-PD-1 treatment is beneficial only for certain patients. Therefore, the mechanisms controlling PD-L1 expression warrant further investigation in order to provide a better understanding of the predicting efficacy of and optimising anti-PD-1 therapy, alone or in combination. Methods: MMP-mediated regulation of PD-L1 expression was examined in three human HNSCC cell lines (OSC-20, OSC-19 and HOC313). Enzymatic activity of MMP against PD-L1 was evaluated in vitro using purified recombinant proteins or MMP synthetic inhibitors. Results: PD-L1 protein extracted from the cell membrane was found to be downregulated in OSC-20 cells compared with OSC-19 cells, despite a higher PD-L1 expression in the total cell lysate of the OSC-20 compared with the OSC-19 cells. Several matrix metalloproteinases (MMPs) were found to be upregulated in HNSCC; in particular, MMP-7 and -13 were upregulated in the OSC-20 compared with the OSC-19 cells. Purified PD-L1 was degraded by recombinant MMP-13 and -7. The expression of PD-L1 was significantly restored by a specific inhibitor of MMP-13 (CL82198), which suggested the involvement of MMP-13 in the shedding/cleavage of PD-L1 in the OSC-20 cells. Among the anti-cancer drugs conventionally used in the treatment of patients with HNSCC, paclitaxel increased MMP-13 expression in R/M HNSCC cells (HOC313 cells) co-cultured without/with dendritic cells (DCs). Conclusions: These results suggest that the shedding/cleavage of PD-L1 by MMP-13 is one of the mechanisms behind the protective effect against invasion and metastasis. Thus, MMP-13 has potential value as a marker predictive of the decreased efficacy of anti-PD-1 therapy. In addition, paclitaxel is a particularly promising candidate for combination therapy in R/M HNSCC with anti-PD-1 therapy. Legal entity responsible for the study: Graduate School of Medical Science, Kanazawa University. Funding: Has not received any funding. Disclosure: All authors have declared no conflicts of interest.
Development of a micro compressor & pump. (2001)

A new compressor was proposed based on the idea of replacing the conventional electric motor and crank mechanism in a reciprocating compressor with a piezo-actuator. This new compressor is called piezo-compressor. It has simpler mechanical structure and fewer moving parts as compared to a conventional reciprocating compressor.