gebhart/patrepeval huggingface dataset:
Privacy-Preserving Watermarking Transformation Technique in a Distributed Environment (2018)

Watermarking relational data is an important topic in the field of copyright protection, given the increasing prevalence of piracy and illegal duplication of databases. While there exist solutions for watermarking relational data, the problems that arise due to multiple ownerships have not been acknowledged. When data in consideration are independently owned, it may not be possible to integrate the data together and then embed a watermark because of privacy and data confidentiality issues. This paper focuses on developing a privacy-preserving watermarking transformation technique to counter the aforementioned problems. The proposed technique works with most existing watermarking methods and necessitates the data owners to collaboratively perform the watermarking process. The transformation technique is applicable for both numerical and categorical data. The computation overhead of the proposed technique is evaluated through comprehensive experiments with various factors that affect the underlying watermarking methods.
Introduction to the HPC Challenge Benchmark Suite - eScholarship (2005)

Introduction to the HPC Challenge Benchmark Suite Piotr Luszczek 1 , Jack J. Dongarra 1,2 , David Koester 3 , Rolf Rabenseifner 4,5 , Bob Lucas 6,7 , Jeremy Kepner 8 , John McCalpin 9 , David Bailey 10 , and Daisuke Takahashi 11 of Tennessee Knoxville Ridge National Laboratory 3 MITRE 4 High Performance Computing Center (HLRS) 5 University Stuttgart, www.hlrs.de/people/rabenseifner 6 Information Sciences Institute 7 University of Southern California 8 MIT Lincoln Lab 9 IBM Austin 10 Lawrence Berkeley National Laboratory 11 University of Tsukuba 2 Oak 1 University March 2005 and bandwidth/latency tests – b eff ) that attempt to span high and low spatial and temporal locality space. By de- 1 benchmark suite has been re- sign, the HPC Challenge tests are scalable with the size The HPC Challenge leased by the DARPA HPCS program to help deﬁne the of data sets being a function of the largest HPL matrix performance boundaries of future Petascale computing for the tested system. systems. HPC Challenge is a suite of tests that exam- ine the performance of HPC architectures using kernels with memory access patterns more challenging than 1 High Productivity Computing those of the High Performance Linpack ( HPL ) bench- Systems mark used in the Top500 list. Thus, the suite is designed to augment the Top500 list, providing benchmarks that The DARPA High Productivity Computing Sys- bound the performance of many real applications as tems (HPCS) [1] is focused on providing a new gener- a function of memory access characteristics e.g., spa- ation of economically viable high productivity comput- tial and temporal locality, and providing a framework ing systems for national security and for the industrial for including additional tests. In particular, the suite user community. HPCS program researchers have initi- is composed of several well known computational ker- ated a fundamental reassessment of how we deﬁne and nels ( STREAM , HPL , matrix multiply – DGEMM , paral- measure performance, programmability, portability, ro- lel matrix transpose – PTRANS , FFT , RandomAccess , bustness and ultimately, productivity in the High End 1 This work was supported in part by the DARPA, NSF, and Computing (HEC) domain. The HPCS program seeks to create trans-petaﬂops DOE through the DARPA HPCS program under grant FA8750-04- systems of signiﬁcant value to the Government HPC Abstract
ChemInform Abstract: Rhodium‐ and Iridium‐Trispyrazolylborate Complexes C—H Activation and Coordination Chemistry (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.
Diastereoselective Alkylation of Activated Nitrogen Heterocycles with Alkenyl Boronate Complexes (2023)

Alkenyl boronate complexes react with acylated quinolines and isoquinolines via 1,2-metalate rearrangement to give alkylated, dearomatized heterocycles in good yields, diastereoselectivities, and regioselectivities. This multi-component coupling is highly modular and can be used to access a wide scope of heterocyclic scaffolds. Chiral boronic esters made through this methodology possess high synthetic potential and can be transformed into various functional groups in one step without racemization.
Relational databases, virtualization, and the cloud (2011)

Existing relational databases are facing significant challenges as the hardware infrastructure and the underlying platform change from single CPUs to virtualized multicore machines arranged in large clusters. The problems are both technical and related to the licensing models currently in place. In this short abstract we briefly outline the challenges faced by organizations trying to virtualize and bring existing relational databases into the cloud.
Energy management and control of a fuel cell/supercapacitor multi-source system for electric vehicles (2015)

This article presents a control strategy of a multi-source system dedicated to automotive applications, aiming to maximize the global system efficiency. A parallel-architecture of the multi-source system is considered, composed of a fuel cell as a primary power source, a supercapacitor as a secondary storage element, which provides peak power in fast transients, and power converters for the power sources interconnection to the DC bus. The power management is realized as a two-level control structure. The first level contains inner control loops for fuel cell/supercapacitor currents and a DC bus voltage control loop, designed using PI controllers. The higher level consists of an energy management supervision system based on the equivalent consumption minimization strategy. The fuel cell power demand is computed by minimizing the hydrogen mass consumption with respect to system physical constraints. The performances of the proposed control structure are evaluated in simulation, in terms of fuel economy, using an urban driving cycle.
Structural Basis of RasGRP Binding to High-Affinity PKC Ligands (2002)

The Ras guanyl releasing protein RasGRP belongs to the CDC25 class of guanyl nucleotide exchange factors that regulate Ras-related GTPases. These GTPases serve as switches for the propagation and divergence of signaling pathways. One interesting feature of RasGRP is the presence of a C-terminal C1 domain, which has high homology to the PKC C1 domain and binds to diacylglycerol (DAG) and phorbol esters. RasGRP thus represents a novel, non-kinase phorbol ester receptor. In this paper, we investigate the binding of indolactam(V) (ILV), 7-(n-octyl)-ILV, 8-(1-decynyl)benzolactam(V) (benzolactam), and 7-methoxy-8-(1-decynyl)benzolactam(V) (methoxylated benzolactam) to RasGRP through both experimental binding assays and molecular modeling studies. The binding affinities of these lactams to RasGRP are within the nanomolar range. Homology modeling was used to model the structure of the RasGRP C1 domain (C1-RasGRP), which was subsequently used to model the structures of C1-RasGRP in complex with these ligands and phorbol 13-acetate using a computational docking method. The structural model of C1-RasGRP exhibits a folding pattern that is nearly identical to that of C1b-PKCdelta and is comprised of three antiparallel-strand beta-sheets capped against a C-terminal alpha-helix. Two loops A and B comprising residues 8-12 and 21-27 form a binding pocket that has some positive charge character. The ligands phorbol 13-acetate, benzolactam, and ILV are recognized by C1-RasGRP through a number of hydrogen bonds with loops A and B. In the models of C1-RasGRP in complex with phorbol 13-acetate, benzolactam, and ILV, common hydrogen bonds are formed with two residues Thr12 and Leu21, whereas other hydrogen bond interactions are unique for each ligand. Furthermore, our modeling results suggest that the shallower insertion of ligands into the binding pocket of C1-RasGRP compared to C1b-PKCdelta may be due to the presence of Phe rather than Leu at position 20 in C1-RasGRP. Taken together, our experimental and modeling studies provide us with a better understanding of the structural basis of the binding of PKC ligands to the novel phorbol ester receptor RasGRP.
Tailoring the FeO/SiO2 Ratio in Electric Arc Furnace Slags to Minimize the Leaching of Vanadium and Chromium (2020)

Based on recently published research on leaching control mechanisms in electric arc furnace (EAF) slags, it is assumed that a FeO/SiO2 ratio of around one leads to low leached V and Cr concentrations. This ratio influences the mineral phase composition of the slag toward higher amounts of spinel and a lower solubility of calcium silicate phases by suppressing the formation of magnesiowuestite and highly soluble calcium silicate phases. To evaluate this hypothesis, laboratory and scaled up tests in an EAF pilot plant were performed on slag samples characterized by elevated V and Cr leaching and a high FeO/SiO2 ratio. Prior to the melting experiments, the optimum FeO/SiO2 ratio was calculated via FactSageTM. In the melting experiments, the ratio was adjusted by adding quartz sand, which also decreased the basicity (CaO/SiO2) of the slag. As a reference, remelting experiments without quartz sand addition were conducted and additionally, the influence of the cooling rate of the slag was examined. The remelted (without quartz sand) and the remelted modified slags (with quartz sand) were analyzed chemically and mineralogically and the leaching behavior was investigated. The modification of the slags yielded a minimized release of V and Cr, supporting the hypothesis that the FeO/SiO2 ratio influences the mineralogy and the leaching behavior.
Three New Arylobenzofurans from Onobrychis ebenoides and Evaluation of Their Binding Affinity for the Estrogen Receptor (2000)

Three new 2-phenyl-benzofurans, ebenfuran I, ebenfuran II, and ebenfuran III, were isolated from Onobrychis ebenoides. Their structures were elucidated on the basis of chemical and spectral data as 2-(2,4-dihydroxyphenyl)-5-hydroxy-6-methoxy-benzofuran (1), 2-(2,4-dihydroxyphenyl)-3-formyl-4-hydroxy-6-methoxy-benzofuran (2), and 2-(2, 4-dihydroxyphenyl)-3-formyl-4-hydroxy-6-methoxy-5-(3-methyl-buten- 2-y l)-benzofuran (3). The affinity of these compounds for the estrogen receptor was studied using a receptor-binding assay.
Several new directions for ultrafast fiber lasers [Invited] (2018)

Ultrafast fiber lasers have the potential to make applications of ultrashort pulses widespread - techniques not only for scientists, but also for doctors, manufacturing engineers, and more. Today, this potential is only realized in refractive surgery and some femtosecond micromachining. The existing market for ultrafast lasers remains dominated by solid-state lasers, primarily Ti:sapphire, due to their superior performance. Recent advances show routes to ultrafast fiber sources that provide performance and capabilities equal to, and in some cases beyond, those of Ti:sapphire, in compact, versatile, low-cost devices. In this paper, we discuss the prospects for future ultrafast fiber lasers built on new kinds of pulse generation that capitalize on nonlinear dynamics. We focus primarily on three promising directions: mode-locked oscillators that use nonlinearity to enhance performance; systems that use nonlinear pulse propagation to achieve ultrashort pulses without a mode-locked oscillator; and multimode fiber lasers that exploit nonlinearities in space and time to obtain unparalleled control over an electric field.
A cellular lipidomic study on the Aβ-induced neurotoxicity and neuroprotective effects of EGCG by using UPLC/MS-based glycerolipids profiling and multivariate analysis (2012)

The aim of this study was to investigate the cellular lipid metabolism associated with β-amyloid peptide (Aβ)-induced neurotoxicity as well as the neuroprotective effect of (-)-epigallocatechin gallate (EGCG), a major polyphenol in green tea. An ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry (UPLC-Q-TOF-MS)-based lipidomic approach was developed to screen and identify changes of the glycerolipids (GL) upon Aβ treatment with or without the presence of EGCG in PC12 cells. Principle component analysis (PCA) showed that the Aβ-treated group was well separated from the control group, whereas the EGCG group was closer to the control group. The GL levels were significantly elevated in Aβ-treated cells compared with the control group, but were restored near to normal levels after EGCG treatment. The elevated phosphatidylcholines (PCs) levels observed in the Aβ-treated PC12 cells were quite probably the integrated results of the reduced phospholipase A(2) (PLA(2)) activity and the enhanced activity of lysophospholipid acyltransferases. Moreover, an increased liberation of arachidonic acid (AA) from PCs was observed as another important response of PC12 cells to the Aβ aggregates, implying an active inflammatory process occurring in Aβ induced neurotoxicity. EGCG treatment can reverse the deregulated metabolism of PCs, which might be one of the biochemical mechanisms contributing to its neuroprotective effect. Collectively, results obtained from the current lipidomic analyses of PC12 cells provided important insight into the biochemical mechanisms underlying Aβ-induced neurotoxicity and neuro protective effects of EGCG. This is the first report of the lipidomic study on the neuroprotective effect of EGCG.
MULTI-SCALE MODELING OF TITANIUM DIOXIDE: CONTROLLING SHAPE WITH SURFACE CHEMISTRY (2005)

Abstract. An important aspect in the use of titanium dioxide at the nanoscale for advanced photochemical applications is the controlled manipulation of the size, phase and morphology of the nanoparticles in solution. Solution pH is often used to alter such properties at the nanoscale. We have used a multi-scale thermodynamic model to investigate the effects of pH on the shape and phase stability of titanium dioxide nanoparticles. As input for the model, surface energies and surface tension of low index stoichiometric surfaces of anatase and rutile under hydrogen rich and hydrogen poor conditions have been calculated using density functional theory. Our results show how the anatase phase is stabilized in acidic solution while the rutile phase is stabilized in alkaline solution, and that pH may also be used to induce structural and phase transitions. 1.
Supplementary Table 1 from Long-term Benefit of PD-L1 Blockade in Lung Cancer Associated with <i>JAK3</i> Activation (2023)

&lt;p&gt;Table S1: All somatic mutations and short insertion/deletions. This table provides information on all somatic point mutations and short insertion/deletions observed in the tumor sample from this patient. Additional annotations about protein change, allelic fraction, copy ratio (as segment mean), and other information are provided.&lt;/p&gt;
The nitrogen absorption of Fe-Cr and Fe-Ni weld metals during gas tungsten arc welding. (1989)

Fe-Cr and Fe-Ni alloy sheets were welded by gas tungsten arc welding in an arc atmosphere-controlled chamber filled with argon-nitrogen gas mixtures in order to stduy effects of chromium and nickel on the nitrogen absorption of iron alloy weld metal. In Fe-Cr alloys, the nitrogen content of weld metal decreases with increasing the welding current. In Fe-Ni alloys, the nitrogen content of weld metal hardly depends on the welding current. In each alloy, the nitrogen content of weld metal increases with the nitrogen partial pressure of the atmosphere in low nitrogen partial pressure region, and is constant in nitrogen partial pressure more than 0.01MPa. The nitrogen content of weld metal increases remarkably with the chromium content, while decreases slightly with increasing the nickel content. The nitrogen absorption of iron alloy weld metals was discussed thermodynamically by comparing with data of arc-melting and equilibrium.
.beta.-Lactam antibiotics from Streptomyces (1971)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXT.beta.-Lactam antibiotics from StreptomycesRamanathan Nagarajan, LaVerne D. Boeck, Marvin Gorman, Robert L. Hamill, Calvin E. Higgens, Marvin M. Hoehn, William M. Stark, and Joel G. WhitneyCite this: J. Am. Chem. Soc. 1971, 93, 9, 2308–2310Publication Date (Print):May 1, 1971Publication History Published online1 May 2002Published inissue 1 May 1971https://pubs.acs.org/doi/10.1021/ja00738a035https://doi.org/10.1021/ja00738a035research-articleACS PublicationsRequest reuse permissionsArticle Views638Altmetric-Citations194LEARN 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
Local CDM ESD Protection Circuits for Cross-Power Domains in 3D IC Applications (2014)

CDM ESD events can be a potential threat to SoC designs or heterogeneous 3D ICs with multiple power domains. Inter-layer (or interface) circuits may need a local CDM ESD clamp that can prevent the unexpected failure under CDM ESD stress. In this letter, two local CDM ESD clamp circuits are proposed. They show better clamping efficiency under 2-ns vfTLP stress.
MOFganic Chemistry: Challenges and Opportunities for Metal-Organic Frameworks in Synthetic Organic Chemistry (2023)

Metal-organic frameworks (MOFs) are porous, crystalline solids constructed from organic linkers and inorganic nodes that have been widely studied for applications in gas storage, chemical separations, and drug delivery. Owing to their highly modular structures and tunable pore environments, we propose that MOFs have significant untapped potential as catalysts and reagents relevant to the synthesis of next-generation therapeutics. Herein, we outline the properties of MOFs that make them promising for applications in synthetic and organic chemistry, including new reactivity and selectivity, enhanced robustness, and user-friendly preparation. In addition, we outline the challenges facing the field and propose new directions to maximize the utility of MOFs for drug synthesis. This perspective aims to bring together the organic and MOF communities to develop new heterogeneous platforms capable of achieving synthetic transformations that can-not be replicated by homogeneous systems.
Top-Down, Scalable Fabrication of High Purity Fluorescent Nanodiamonds (2013)

We demonstrate a fabrication technique for high volume production of high-quality nanocrystals from bulk chemical vapor deposition diamond. Ramsey and Spin-Echo measurements confirm the long spin coherence of nitrogen vacancy centers in these nanocrystals.
Automated extraction of critical dimension from SEM with Weave (2022)

Current best practices for the extraction of critical dimensions (CDs) from microscopic images requires semiconductor process engineers to analyze images one by one, which is tedious, prone to human bias, time-consuming and expensive. Automated CD extraction using machine learning methodologies is an approach to accelerate and improve the accuracy of this process. Deep learning convolutional neural nets specifically can be used effectively for image segmentation and identification of different material regions; however, providing enough annotated data for training and testing is an ongoing challenge. Here, we demonstrate a method where only one sample image is needed for the neural net to learn how to extract the CDs of interests. The methodology is specifically demonstrated for extracting CDs from a metal assisted chemical etching process. Each experimental SEM image is automatically measured in about 45 seconds. The extracted CD measurements are within 4 nm (&lt;5% error) of the human measured CDs. This automated extraction enables process engineers to improve the accuracy of their metrology workflow, reduce their total metrology costs, and accelerate their process development.
SU-GG-T-466: A Retrospective Analysis in Head and Neck Cancer by Using the Simplified Monte Carlo Algorithm (2010)

Purpose: We have developed a simplified Monte Carlo calculation (SMC) algorithm of dose distribution in proton therapy to improve the accuracy of dose calculations yet with a reasonable calculation time. We had verified SMC by comparing with measurements. We retrospectively analyzed plans of head and neck cancer patients that occurred side-effect radiation damage using SMC. Method and Materials: The SMC uses measured effective source parameters and a measured mono-energetic proton depth dose curves, it is easy to adapt to facilities. Protons are traced their trajectories taking into account the multiple Coulomb scattering using the Highland's formula and range losses using the water-equivalent model in materials. The relative dose deposit in a water voxel or in a patient voxel is obtained from the residual range of an incident proton in water and the water-equivalent thickness of the voxel using a shifted measured Bragg curve in water. We retrospectively analyzed a plan of a treated patient with T4N0M0 adenoid cystic carcinoma. Results: SMC estimated higher dose delivery to right optic nerves and optic chiasma than that of the PBA. This means that there is greater risk of vision loss. The PBA underestimated deep-region dose as compared with the SMC, and resulted in the difference of DVHs. Discussions and Conclusions: We retrospectively analyzed a plan of a treated head and neck cancer patient that occurred side-effect radiation damage. The PBA underestimated the risk of untoward radiation damage by dose underestimation in deep region supported by phantom studies. The results of the SMC expected a high risk of the side-effect radiation damage. Thus, for clinical analysis, the difference of DVHs between the SMC and the PBA suggests the effectiveness of Monte Carlo dose calculation in treatment planning. We continue widely many retrospective analyses using the SMC.