gebhart/patrepeval huggingface dataset:
Abstracts from the 4th ImmunoTherapy of Cancer Conference (2017)

Background: Cancer immunotherapy based on direct intratumoral injection of immunomodulators has been established at the end of 19th century using Coley's toxin. Our novel therapeutic strategy is based on the intratumoral injection of optimized mixture of TLR agonists, causing strong inflammatory infiltration. Infiltrating cells (mainly phagocytes) are directed to artificially opsonized tumor cells covered by phagocytosis stimulating ligands. Materials and methods: Immunotherapy was tested using B16-F10 murine melanoma model. Inflammatory infiltration was achieved using the mixture of resiquimod, poly(I:C), and lipoteichoic acid. Artificial opsonisation of tumor cells was elicited by mannan anchored to cell membranes using a hydrophobic anchor. The course of tumor infiltration was studied using flow cytometry. Cytotoxic effect of infiltrating immune cells on opsonized tumor cells was studied in vitro. Participation of acquired immunity was elucidated on the basis of intracellular IFN-gamma production by lymphocytes. Results: Optimized cancer immunotherapy based on the synergy of TLR agonists with artificially induced tumor opsonisation resulted in complete cure of 83% of mice with advanced melanomas. Moreover, cured mice acquired resistance to retransplantation of tumor cells. Applied therapy has a strong antimetastatic effect. In the first phase of immunotherapy, granulocyte predominance was observed, followed by involvement of acquired immunity. Conclusions: Intratumoral immunotherapy initiated by innate immunity based attack followed by joining of mechanisms of acquired immunity is a promising approach for future application in clinical practice as compounds used are safe for humans.
Risk factors for inadequate bowel preparation before colonoscopy: a retrospective cohort study (2023)

Male gender, inpatient status and spring season were the independent risk factors for inadequate bowel preparation. For patients with risk factors for inadequate bowel preparation, enhanced bowel preparation and instructions may help to optimize the quality of bowel preparation.
Silsesquioxanes in nanoscale patterning applications (2011)

Silsesquioxanes are inorganic-organic hybrid materials that combine the mechanical, thermal, and chemical stability of ceramics with the solution processing and flexibility of traditional soft materials. In this review we discuss how these attributes naturally lend themselves to a diverse range of nanoscale patterning applications. In comparison with traditional lithographic resists, the ceramic-like nature of the silsesquioxanes offers many advantages in terms of the mechanical and physical properties that are important for nanoscale patterning media. Beyond just creating physical patterns, silsesquioxanes can also be engineered to exhibit a wide range of functional properties that transcend the notion of resists being used singularly as a sacrificial component to transfer a pattern into functional materials. In this manuscript we will highlight some of the salient chemistries behind these materials that are relevant to nanoscale patterning applications and review the technical applications where patterned silsesquioxanes are being seriously considered.
ChemInform Abstract: Emerging Energy and Environmental Applications of Vertically‐Oriented Graphenes (2015)

Abstract Review: tutorial review on plasma synthesis of vertically‐oriented graphenes, growth mechanism, and properties for energy and environmental applications; 50 refs.
A new machine for continuous renal replacement therapy: from development to clinical testing (2005)

A new continuous renal replacement therapy machine has been designed to fulfill the expectations of nephrologists and intensivists operating in the common ground of critical care nephrology. The new equipment is called Prismaflex and it is the natural evolution of the PRISMA machine that has been utilized worldwide for continuous renal replacement therapy in the last 10 years. The authors performed a preliminary alpha-trial to establish the usability, flexibility and reliability of the new device. Accuracy was also tested by recording various operational parameters during different intermittent and continuous renal replacement modalities during 62 treatments. This article will describe our first experience with this new device and touch upon the historic and technologic background leading to its development.
Beta-trace protein in serum: a new marker of glomerular filtration rate in the creatinine-blind range. (1999)

Recent studies have shown that low-molecular weight proteins in serum seem to be better markers for detecting reduced glomerular filtration rate (GFR) than the conventional measurement of serum creatinine (1)(2). Several proteins, such as ribonuclease, α1-microglobulin, β2-microglobulin (B2M), and cystatin C have been compared with serum creatinine (2)(3). Whereas serum creatinine is increased only after a reduction of ∼50% in GFR, the above proteins, especially cystatin C, are already increased within that so-called creatinine-blind range (1)(4)(5)(6). Recently, another low-molecular weight protein, the β-trace protein (BTP), isolated primarily from cerebrospinal fluid (7), was shown to be increased in patients with renal diseases (8)(9). However, there is no information on the relationship of BTP and a standard measure of GFR such as inulin clearance. Therefore, to investigate the potential clinical usefulness of BTP for early detection of reduced GFR, we have performed corresponding measurements of BTP and inulin clearance.

The study included 115 diabetic patients (44 women; mean age, 53.4 years; 71 men, mean age, 52.9 years); 57 had type I diabetes and 58 had type II. GFR was determined by …
Development of FDTD simulation tool for designing micro-nanostructured based optical devices (2016)

The use of Graphics Processing Unit (GPU) for computational work has revolutionized how complex electromagnetic problems are solved. Complex problems which required supercomputers in the past for analysis can now be tackled and solved using personal computers by channeling the computational work towards GPUs instead of the traditional computer Central Processing Unit (CPU). Finite-Difference Time-Domain (FDTD) analysis, which is a computationally expensive method of solving electromagnetic problems is highly parallel in nature and can be readily executed in a GPU. We have developed an algorithm for three dimensional FDTD analysis of optical devices with micro and nano-structures using Compute Unified Device Architecture (CUDA). The developed algorithm exploits the benefits of multiple cores of GPU chips and boosts the speed of simulation without sacrificing its accuracy. We achieved a 25-fold speed up of simulation using CUDA compared to MATLAB code in CPU.
Use of affinity capillary electrophoresis to measure binding constants of ligands to proteins (1992)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTUse of affinity capillary electrophoresis to measure binding constants of ligands to proteinsYen Ho Chu, Luis Z. Avila, Hans A. Biebuyck, and George M. WhitesidesCite this: J. Med. Chem. 1992, 35, 15, 2915–2917Publication Date (Print):July 1, 1992Publication History Published online1 May 2002Published inissue 1 July 1992https://pubs.acs.org/doi/10.1021/jm00093a027https://doi.org/10.1021/jm00093a027research-articleACS PublicationsRequest reuse permissionsArticle Views836Altmetric-Citations168LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-AlertscloseSupporting Info (1)»Supporting Information Supporting Information Get e-Alerts
Improvement in the Mechanical Property of Highly Densified Sintered Steels by Microstructure Controlling (2009)

We have already reported that the ultra high density and the low dimensional change were realized by means of the developed die wall lubricated warm compaction and the high temperature sintering with controlling the blister. Increasing the sintered density is one of the effective methods to improve the mechanical properties of sintered steels, and the developed highly densified sintered steel had the excellent tensile strength of 2250 MPa. According to the evaluation of fracture surfaces, the crack path transformed from only the areas of inter-particles i.e. the sinter-neck regions to the areas of inter-particles i.e. the sinter-neck regions and trans-particles i.e. the matrix as increasing the sintered density. This transition in the clack path means the necessity of well-balanced strengthening the sinter-neck regions and the matrix to improve the mechanical properties of highly densified sintered steels. In this study, the effect of the strength of the sinter-neck regions and the matrix on the mechanical property was investigated. As the result of this study, the composite structurizing of the ductile martensite for the matrix and the hard martensite for the sinter-neck regions was realized by the combining fine and coarse powders method and was effective to improve the mechanical properties of the highly densified sintered steel.
Untargeted Ultrahigh-Performance Liquid Chromatography-Hybrid Quadrupole-Orbitrap Mass Spectrometry (UHPLC-HRMS) Metabolomics Reveals Propolis Markers of Greek and Chinese Origin (2021)

Chemical composition of propolis depends on the plant source and thus on the geographic and climatic characteristics of the site of collection. The aim of this study was to investigate the chemical profile of Greek and Chinese propolis extracts from different regions and suggest similarities and differences between them. Untargeted ultrahigh-performance liquid chromatography coupled to hybrid quadrupole-Orbitrap mass spectrometry (UHPLC-HRMS) method was developed and 22 and 23 propolis samples from Greece and China, respectively, were analyzed. The experimental data led to the observation that there is considerable variability in terms of quality of the distinctive propolis samples. Partial least squares - discriminant analysis (PLS-DA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) models were constructed and allowed the identification of significant features for sample discrimination, adding relevant information for the identification of class-determining metabolites. Chinese samples overexpressed compounds that are characteristic of the poplar type propolis, whereas Greek samples overexpress the latter and the diterpenes characteristic of the Mediterranean propolis type.
A 2-$\mu$J, 12-class, 91% Accuracy Spiking Neural Network Approach For Radar Gesture Recognition (2021)

Radar processing via spiking neural networks (SNNs) has recently emerged as a solution in the field of ultra-low-power wireless human-computer interaction. Compared to traditional energy- and area-hungry deep learning methods, SNNs are significantly more energy efficient and can be deployed in the growing number of compact SNN accelerator chips, making them a better solution for ubiquitous IoT applications. We propose a novel SNN strategy for radar gesture recognition, achieving more than 91% of accuracy on two different radar datasets. Our work significantly differs from previous approaches as 1) we use a novel radar-SNN training strategy, 2) we use quantized weights, enabling power-efficient implementation in real-world SNN hardware, and 3) we report the SNN energy consumption per classification, clearly demonstrating the real-world feasibility and power savings induced by SNN-based radar processing. We release evaluation code to help future research.
Electron spectroscopy: ultraviolet excitation (1976)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTElectron spectroscopy: ultraviolet excitationA. D. Baker, M. A. Brisk, and D. C. LiottaCite this: Anal. Chem. 1976, 48, 5, 281–294Publication Date (Print):April 1, 1976Publication History Published online1 May 2002Published inissue 1 April 1976https://pubs.acs.org/doi/10.1021/ac60369a032https://doi.org/10.1021/ac60369a032research-articleACS PublicationsRequest reuse permissionsArticle Views109Altmetric-Citations7LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
Design and evaluation of data storage and retrieval strategies in a distributed memory continuous media server (2002)

High-performance servers and high-speed networks will form the backbone of the infrastructure required for distributed multimedia information systems. Given that the goal of such a server is to support hundreds of interactive data streams simultaneously, various tradeoffs are possible with respect to the storage of data on secondary memory and its retrieval In this paper, we identify and evaluate these tradeoffs. We evaluate the effect of varying the stripe factor and also the performance of batched retrieval of disk-resident data. We develop a methodology to predict the stream capacity of such a server. The evaluation is done for both uniform and skewed access patterns. Experimental results on the Intel Paragon computer are presented.
RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets (2015)

This paper introduces RankMap, a platform-aware end-to-end framework for efficient execution of a broad class of iterative learning algorithms for massive and dense datasets. Our framework exploits data structure to factorize it into an ensemble of lower rank subspaces. The factorization creates sparse low-dimensional representations of the data, a property which is leveraged to devise effective mapping and scheduling of iterative learning algorithms on the distributed computing machines. We provide two APIs, one matrix-based and one graph-based, which facilitate automated adoption of the framework for performing several contemporary learning applications. To demonstrate the utility of RankMap, we solve sparse recovery and power iteration problems on various real-world datasets with up to 1.8 billion non-zeros. Our evaluations are performed on Amazon EC2 and IBM iDataPlex servers using up to 244 cores. The results demonstrate up to two orders of magnitude improvements in memory usage, execution speed, and bandwidth compared with the best reported prior work, while achieving the same level of learning accuracy.
Influence of hepatic impairment on the pharmacokinetics and pharmacodynamics of the P2Y12 receptor antagonist selatogrel (2022)

Selatogrel is a potent and selective reversible P2Y12 receptor antagonist in development for early treatment of acute myocardial infarction via subcutaneous (s.c.) self-injection. Selatogrel is almost exclusively eliminated via the hepatobiliary route. Hepatic impairment is associated with reduced drug clearance and primary hemostasis. This single-center, open-label study investigated the effect of mild and moderate hepatic impairment on pharmacokinetics (PK) and pharmacodynamics (PD) of a single s.c. dose of selatogrel (16 mg). The study included groups of eight subjects with mild and moderate hepatic impairment, and matched healthy control subjects. Compared to healthy subjects, exposure to selatogrel in subjects with mild and moderate hepatic impairment was 30% and 108% (maximum plasma concentration [C<sub>max</sub> ]) and 47% and 212% (area under the concentration-time curve from zero to infinity [AUC<sub>0-∞</sub> ]) higher, respectively. Hepatic impairment was associated with lower clearance and volume of distribution, whereas plasma protein binding was not affected. Marked inhibition of platelet aggregation (IPA > 80%) was attained within 30 min in all subjects and hepatic impairment prolonged IPA duration. Area under the effect curve was 60% and 160% higher in subjects with mild and moderate hepatic impairment, respectively. PK/PD modeling identified a change in the relationship between exposure and IPA, with a steeper concentration-effect relationship in healthy subjects compared to subjects with hepatic impairment. The combination of higher exposure and lower half-maximum inhibitory concentration resulted in longer lasting effect. In conclusion, hepatic impairment alters the PK/PD relationship leading to prolonged effects. Therefore, dose adjustments may be warranted in subjects with moderate hepatic impairment.
Architecting a hardware-managed hybrid DIMM optimized for cost/performance (2018)

Rapidly evolving workloads and exploding data volumes place great pressure on data-center compute, IO, and memory performance, and especially on memory capacity. Increasing memory capacity requires a commensurate reduction in memory cost per bit. DRAM technology scaling has been steadily delivering affordable capacity increases, but DRAM scaling is rapidly reaching physical limits. Other technologies such as Flash, enhanced Flash, Phase Change Memory, and Spin Torque Transfer Magnetic RAM hold promise for creating high capacity memories at lower cost per bit. However, these technologies have attributes that require careful management.
The effect of shoe torsional stiffness on lower extremity kinematics and biomechanical risk factors for patellofemoral pain syndrome during running (2012)

Abstract Objective: The effect of footwear torsional stiffness on lower extremity biomechanics is not well known, although there are indications that it could affect rearfoot and ankle kinematics. These variables have previously been linked to the development of patellofemoral pain syndrome (PFPS) in runners. Therefore, the aim of this study was to compare the rearfoot and ankle frontal plane kinematics and knee abduction angular impulse between shoes with different torsional stiffness during running. Methods: Nineteen experienced runners performed heel-toe running at 3.7 m s−1 in three running shoes with different torsional stiffness. Using surface-mounted markers and a force plate, the kinematics and kinetics of the rearfoot, ankle and knee were measured. Torsion, rearfoot and ankle eversion, tibial rotation, knee abduction impulse, and vertical ground reaction force (GRF) peak were compared between footwear conditions using repeated-measures ANOVA. Results: The torsion angle was significantly different between shoes but none of the other variables showed a difference between conditions. Focusing only on the part of the stance phase with forefoot–ground contact, significant differences were reported in the range of motion (ROM) of rearfoot and ankle eversion. The differences in torsional stiffness of the running shoes did not alter the rearfoot/ankle kinematics or the knee angular impulse, which are variables that have been described as risk factors for PFPS. Conclusions: During heel-toe running, the shoe torsional stiffness does not seem to have an effect on the injury risk for PFPS. However, there are indications that, for movements performed mainly on the forefoot, this shoe characteristic could have relevance. Keywords: Heel-toe runningfoot torsiontorsional stiffnesspatellofemoral pain syndromeankle kinematics Acknowledgements The authors would like to thank adidas AG for providing the footwear used in this study.
Predictive Control of an Indirect Matrix Converter (2009)

This paper presents the implementation of a predictive control scheme for an indirect matrix converter. The control scheme selects the switching state that minimizes the reactive power and the error in the output currents according to their reference values. This is accomplished by using a prediction horizon of one sample time and a very intuitive control law. Experimental results with a 6.8-kVA indirect matrix converter prototype are provided in order to validate the proposed control scheme. The converter uses standard digital signal processor operating at a sampling frequency of 20 mus. It is shown that the idea of controlling this converter topology with a predictive approach can be implemented simply and input currents with unity power factor and a total harmonic distortion lower than 5% can be obtained.
Whole Band Wavelength Conversion for Wideband Transmission (2021)

We introduce wavelength conversion technology for wideband transmission over deployed optical fibers by extending the wavelength range within the optical fiber transparent window which is not yet supported by practical transceivers.
Tryptophan-dependent and -independent secretions of tryptophanyl- tRNA synthetase mediate innate inflammatory responses (2022)

While cytoplasmic tryptophanyl-tRNA synthetase (WARS1) ligates tryptophan (Trp) to its cognate tRNAs for protein synthesis, it also plays a role as an innate immune activator in extracellular space. However, its secretion mechanism remains elusive. Here, we report that in response to stimuli, WARS1 can be secreted via two distinct pathways: via Trp-dependent secretion of naked protein and via Trp-independent plasma-membrane-derived vesicles (PMVs). In the direct pathway, Trp binding to WARS1 induces a "closed" conformation, generating a hydrophobic surface and basic pocket. The Trp-bound WARS1 then binds stable phosphatidylinositol (4,5)-biphosphate and inner plasma membrane leaflet, passing across the membrane. In the PMV-mediated secretion, WARS1 recruits calpain 2, which is activated by calcium. WARS1 released from PMVs induces inflammatory responses in vivo. These results provide insights into the secretion mechanisms of WARS1 and improve our understanding of how WARS1 is involved in the control of local and systemic inflammation upon infection.