gebhart/patrepeval huggingface dataset:
Determining clinical course of diffuse large B-cell lymphoma using targeted transcriptome and machine learning algorithms (2022)

Multiple studies have demonstrated that diffuse large B-cell lymphoma (DLBCL) can be divided into subgroups based on their biology; however, these biological subgroups overlap clinically. Using machine learning, we developed an approach to stratify patients with DLBCL into four subgroups based on survival characteristics. This approach uses data from the targeted transcriptome to predict these survival subgroups. Using the expression levels of 180 genes, our model reliably predicted the four survival subgroups and was validated using independent groups of patients. Multivariate analysis showed that this patient stratification strategy encompasses various biological characteristics of DLBCL, and only TP53 mutations remained an independent prognostic biomarker. This novel approach for stratifying patients with DLBCL, based on the clinical outcome of rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone therapy, can be used to identify patients who may not respond well to these types of therapy, but would otherwise benefit from alternative therapy and clinical trials.
A cloud queuing service with strong consistency and high availability (2011)

Message queues are widely used to connect loosely coupled components to form large-scale, highly distributed, and fault-tolerant applications. A number of vendors currently provide cloud-based queuing services that are designed to be elastic, scalable, and easy to use. However, unlike enterprise queuing systems, which provide strong queuing consistency and are suitable for many traditional enterprise workloads, these cloud-based queuing services offer reduced queuing consistency. They can deliver messages without loss, but they may deliver messages out of order or with duplications. This paper presents SilverDove Queuing Service (SDQS), a scalable cloud-based queuing service with stronger consistency than existing cloud-based queuing services. SDQS delivers messages without losses or duplications and provides in-order message delivery as an option. Built on top of IBM WebSphere® eXtreme Scale, i.e., an elastic in-memory object grid system, SDQS can be easily scaled up and down to accommodate a wide range of workloads. SDQS is able to provide high availability with either the no-order or the in-order message delivery option. We have performed a preliminary evaluation of SDQS with up to 70 nodes on a compute cloud platform, verifying its consistency offerings and providing insights into the tradeoff between performance and consistency.
High-resolution Radon preconditioning for full-waveform inversion of land seismic data (2017)

Abstract Over the past decade, acoustic full-waveform inversion (FWI) has become one of the standard methods in the industry to construct high-resolution velocity fields from the seismic data acquired. While most of the successful applications are for marine acquisition data with rich low-frequency diving or postcritical waves at large offsets, the application of acoustic FWI on land data remains a challenging topic. Land acoustic FWI application faces many severe difficulties, such as the presence of strong elastic effects, large near-surface velocity contrast, and heterogeneous, topography variations, etc. In addition, it is well-known that low-frequency transmitted seismic energy is crucial for the success of FWI to overcome sensitivity to starting velocity fields; unfortunately, those are the parts of the data that suffer the most from a low signal-to-noise ratio (S/N) in land acquisition. We have developed an acoustic FWI application on a land data set from North Kuwait, and demonstrated our solutions to mitigate some of the challenges posed by land data. More specifically, we have developed a semblance-based high-resolution Radon (HR-Radon) inversion approach to enhance the S/N of the low-frequency part of the FWI input data and to ultimately improve the convergence of the land FWI workflow. To mitigate the impact of elastic effects, we included only the diving and postcritical early arrivals in the waveform inversion. Our results show that, with the aid of HR-Radon preconditioning and a carefully designed workflow, acoustic FWI has the ability to derive a reliable high-resolution near-surface model that could not be otherwise recovered through traditional tomographic methods.
ChemInform Abstract: Catalytic Oxidation of Sulfurous Acid by Molecular Oxygen. Electrochemical Estimation of the Catalytic Activity. (1994)

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.
Joint iterative migration of surface and borehole gravity gradiometry data (2018)

Gravity and gravity gradiometry surveys have been widely used in mining and petroleum exploration. Interest in borehole gravity measurements has grown because they can help to detect deep targets. The best way to obtain a 3D density distribution is by the joint interpretation of surface and borehole gravity data which is a very challenging problem. The 3D inversion would be a choice for the quantitative interpretation of gravity and gravity gradiometry data. However, it is a complicated and time consuming procedure that is very dependent on the a priori model and constraints used. This paper demonstrates that joint iterative migration of surface and borehole gravity and gravity gradiometry data can effectively image subsurface density distribution. Presentation Date: Tuesday, October 16, 2018 Start Time: 8:30:00 AM Location: 213B (Anaheim Convention Center) Presentation Type: Oral
Membrane binding and perturbation studies of the antimicrobial peptides caerin, citropin, and maculatin (2010)

Citropin 1.1, maculatin 1.1, and caerin 1.1 are short antibacterial cationic peptides from the skin glands of the Australian tree frog Litoria species. Several analogues have been synthesized to give a better insight into the relationship between the structure of the peptides and their antibacterial and haemolytic activity. Binding studies using a surface plasmon resonance (SPR) biosensor together with a vesicle-capture sensor chip have been used to investigate selectivity of the peptides and their analogues for 1,2-dimyristoyl-sn-glycero-3-phosphoglycerol (DMPG) and 1,2-dimyristoyl-sn-glycero-3-phosphocholine (DMPC) vesicles, as well as for vesicles made from lipid extracts from Escherichia coli and bovine brain. Data obtained for membrane selectivity using natural lipid extracts show better correlation with minimum inhibitory concentration (MIC) values against Gram-positive bacteria and haemolytic activity than that obtained using synthetic DMPG and DMPC. Electron microscopy and membrane leakage studies using Gram-positive bacteria gave further insight into the membrane disruption properties of the peptides. For maculatin 1.1, it was found that the central proline residue, which is responsible for a bend in the alpha-helical structure, is essential not only for the antibacterial activity but also for binding, and perturbation of membranes. The caerin analogues showed only small variations in their MIC values and membrane binding. In contrast, for citropin 1.1, the analogue replacing the aspartate with a lysine showed the lowest MIC against Gram-positive bacteria and best membrane binding to E. coli lipid extracts, coinciding with an increased hydrophobic moment of the peptide. These data give further insight into these antimicrobial natural products, toward the development and evaluation of these and other analogues as potential antibiotics.
Solid State Chemistry (1973)

The Phase Chemistry of Solids: Phase changes of solids, liquids and gases Differences between the three states of matter The close-packed solid Phase relations between individual solids. Determining the Structure of Solids: Scientific basis for determining the structure of solids Solid state structure conventions and protocols How to determine the structure of compounds Symmetry distribution of crystals Phase relationships among two or more solids. Defects in Solids: The defect solid Mathematics and equations of the point defect Non-stoichiometric solids Defect equation symbolism Some applications for defect chemistry Defect equilibria and their energy Defect equilibria in various types of compounds The effects of purity (and impurities). Mechanisms and Reactions in the Solid State: Phase changes The role of phase boundaries in solid state reactions Reaction rate processes in solids Defining heterogeneous nucleation processes The tarnishing reaction Fick's laws of diffusion Diffusion mechanisms Analysis of diffusion reactions Diffusion in silicates Diffusion mechanisms when the cation changes valence. Particles and Particle Technology: Sequences in particle growth Sintering, sintering processes and grain growth Particle size Particle distributions and the binomial theorem Measuring particle distributions Analysis of particle distribution parameters Types of log normal particle distributions A typical PSD calculation Methods of measuring particle distributions. Growth of Crystals: Methods of growth of crystals Furnance construction Steps in growing a single crystal Czochralski growth of single crystals The Bridgeman-Stockbarger method for crystal growth Zone melting as a means for forming single crystals Zone refining The impurity leveling factor The Verneuil method of crystal growth Molten Flux growth of crystals Hydrothermal growth Vapor methods used for single crystal growth Edge defined crystal growth Melting and Stoichiometry Actual imperfections in crystals Electronic properties of crystals Silicon single crystals and integrated circuits Future methods for manufacture of integrated circuits Pushing the limits of semi-conductor technology The solar cell Piezo-electric materials and their uses. Measurement of Solid State Phenomena Methods of measurement of solid state reactions Utilization of DTA and DSC Thermogravimetry Determination of rate processes in solid state reactions Dilatometry Thermometry Application of dilatometry to plastic materials Optical measurements of solids Colour spaces.
Short term load forecasting using a synchronously operated recurrent neural network (2003)

A keypoint of the control of a power system is the forecast of the short term load. The paper presents a dynamic model for short term load forecasting (STLF) which uses a recurrent neural network. This network can be used to build empirical models for the load of a dynamic system. We investigate this problem applying a basic neural network with feedback connections which is unfolded in time and becomes a general feedforward network with weights sharing. The main advantage of this model consists in unfolding the network in time, which becomes a non fully connected feedforward network and facilitates the training stage. At the same time our model provides a one day ahead prediction.
Spinophilin loss contributes to tumorigenesis in vivo (2011)

The scaffold protein spinophilin (SPN, PPP1R9B) is a regulatory subunit of phosphatase-1a located at 17q21.31. This region is frequently associated with microsatellite instability and LOH and contains a relatively high density of known tumor suppressor genes (such as BRCA1), putative tumor suppressor genes and several unidentified candidate tumor suppressor genes located distal to BRCA1. Spn is located distal to BRCA1, and we have previously shown that the loss of Spn contributes to human tumorigenesis in the absence of p53 function. In this work, we explore the role of Spn as putative tumor suppressor in in vivo models using genetically modified mice. Spn-knockout mice had decreased lifespan with increased cellular proliferation in tissues such as the mammary ducts and early appearance of tumors, such as lymphoma. Furthermore, the combined loss of Spn and mutant p53 activity led to increased mammary carcinomas, confirming the functional relationship between p53 and Spn. We suggest that Spn may be a novel tumor suppressor located at 17q21.
Site Effects (2014)

The rise of social media, such as blogs, social network sites, Twitter, and YouTube, encourages hope for renewed confidence in the government and news media because these venues connect users directly to candidates and officeholders. This article indicates that blogs most heavily relied on the type of social media for political information. Moreover, reliance on blogs and YouTube leads to reduced confidence in the presidency, Congress, and the news media, but reliance on social network sites and Twitter leads to higher confidence in these institutions after controlling for strength of party ties, political ideology, political interest, reliance on traditional media, and demographic variables.
Adaptive and pipelined VLSI designs for tree-based codes (2003)

A new class of VLSI architectures for data transformation of tree-based codes is proposed. The focus is on transformation functions used for data compression and decompression. The encoding algorithm is based on a pipeline architecture and can generate the code bits in parallel. The algorithms use the principle of propagation of a token in a reverse binary tree constructed from the original codes. The design approaches are applicable to any binary codes, although static Huffman code is used as an illustration. A new hardware algorithm for generating adaptive Huffman codes is proposed and a VLSI architecture for implementing the algorithm is described. The high speed of the new algorithms ensures that data transformation is done as data are being transferred from/to high-speed I/O communication devices.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
A multiple sensor recording pacemaker for diagnosis and research (1996)

Many problems still exist regarding the place of cardiac pacemakers in the treatment of a number of conditions. Furthermore the operational effectiveness of pacing algorithms and strategies requires more thorough assessment. A diagnostic pacemaker system has been developed to assist in resolving these problems. The system monitors both electrical and haemodynamic signals in the right chambers of the heart and provides VDD pacing where appropriate. This has the benefit of allowing the study of cardiac function as well as rhythm. In addition to statistical information, selective real time waveform recordings of the electrical, pressure and intracardiac impedance signals are stored for subsequent display and analysis. Waveforms are recorded both leading up to, and following an arrhythmic event. Pacing may be suppressed for a short duration to allow the recording of bradycardias and cardiac pauses.
Optical studies of degradation of AlGaN quantum well based deep ultraviolet light emitting diodes (2010)

Aging under high current stress of AlGaN quantum well based light emitting diodes with high and low Al content in the wells emitting at 270 nm and 335 nm, respectively, has been studied by scanning near field optical spectroscopy and far field electroluminescence, photoluminescence and time-resolved photoluminescence. In the high Al content devices emission band related to optical transitions in the cladding involving nitrogen vacancies has been found. Evolution of this band during aging suggests that the role of N vacancies is crucial in the aging process by aiding defect generation and formation of high conductivity channels.
雷射修整之高速檢測-於修整TFT-LCD SHORTING BAR電路上之應用 (2009)

處理規則排列的金屬線經過加工(修整)後的切割寬度，本論文提出一種透過一維離散傅立葉轉換以及反離散傅立葉轉換，搭配影像統計法的處理方式，利用工業用CCD取得之影像，達到高速、準確的判斷加工結果(是否切斷)以及回報加工寬度的資訊。透過研究中所提之模糊度評價函數的使用，可針對某些因素(乘載平台機構的不穩定、CCD模組的晃動)導致的影像模糊情況加以剔除，進而提高處理影像的正確性以及可靠度。搭配雷射修整設備，可以即時反應修整結果，免除因修整錯誤而導致生產成本增加。進而提升雷射修整設備競爭力。
Design and Characterization of a Full-Duplex Multiantenna System for WiFi Networks (2014)

In this paper, we present an experiment- and simulation-based study to evaluate the use of full duplex (FD) as a potential mode in practical IEEE 802.11 networks. To enable the study, we designed a 20-MHz multiantenna orthogonal frequency-division-multiplexing (OFDM) FD physical layer and an FD media access control (MAC) protocol, which is backward compatible with current 802.11. Our extensive over-the-air experiments, simulations, and analysis demonstrate the following two results. First, the use of multiple antennas at the physical layer leads to a higher ergodic throughput than its hardware-equivalent multiantenna half-duplex (HD) counterparts for SNRs above the median SNR encountered in practical WiFi deployments. Second, the proposed MAC translates the physical layer rate gain into near doubling of throughput for multinode single-AP networks. The two results allow us to conclude that there are potentially significant benefits gained from including an FD mode in future WiFi standards.
Amino acid composition, mineral profile, free radical scavenging ability, and carbohydrase inhibitory properties of Moringa oleifera seed globulin, hydrolysates, and membrane fractions (2022)

The nutritional-amino acid profile and mineral element of Moringa oleifera seed globulin (GLO) and its hydrolysates as well as the in vitro bioactive properties-antioxidant, alpha-amylase, and alpha-glucosidase inhibition of the GLO, hydrolysates, and membrane fractions were reported. The results showed that M. oleifera contained significant amounts of essential amino acids (EAA), which are more than the minimum required by the Food and Agricultural Organization for children, except for tryptophan, which was the limiting amino acid. However, hydrolysis mostly led to a reduction in the contents of the EAA. While the process of hydrolysis and the subsequent membrane fractionation produced peptides with improved activities in 2,2'-azino-bis (3-ethylbenzothiazoline-6-sulphonic acid radical scavenging ability and oxygen radical absorbance capacity, this process produced no activities in superoxide radical scavenging ability, α-amylase, and α-glucosidase inhibitory potentials of some of the hydrolysates and peptides fractions. In summary, M. oleifera seed peptide fraction (<3 kDa) from the alcalase-derived hydrolysate contains potent antioxidants but relatively low in vitro antidiabetic properties. PRACTICAL APPLICATIONS: Several studies have established the ability of proteins, including hydrolysate and peptide fractions to provide some bioactive properties such as antioxidant, antidiabetic, anti-inflammatory among others. However, because protein functionalities are influenced by several factors such as the source, type, processing method employed among others, research has continued to evaluate the bioactivities of proteins under different conditions. In this study, therefore, we reported the impact of processing methods (hydrolysis, enzyme type, and peptide size) on the nutritional, antioxidant, and in vitro antidiabetic properties of M. oleifera seed globulin, its hydrolysates, and membrane fractions. This information plays an important role in the further exploitation of M. oleifera seed proteins in the development of functional foods and nutraceuticals.
Local wavelength estimation for magnetic resonance elastography (2002)

A newly developed magnetic resonance imaging technique can directly visualize propagating acoustic strain waves in tissue-like materials. By estimating the local wavelength of the acoustic wave pattern, quantitative values of shear modulus can be calculated and images generated that depict tissue elasticity or stiffness. Since tumors are significantly stiffer than normal tissue (the basis of their detection by palpation), this technique may have potential for "palpation by imaging", with possible application to the detection of tumors in breast, liver, kidney, and prostate. We describe the local wavelength estimation algorithm, study its properties, and show a variety of sample results.
Physicochemical and Transfection Properties of Cationic Hydroxyethylcellulose/DNA Nanoparticles (2006)

In this study the physicochemical and transfection properties of cationic hydroxyethylcellulose/plasmid DNA (pDNA) nanoparticles were investigated and compared with the properties of DNA nanoparticles based on polyethylene imine (PEI), which is widely investigated as a gene carrier. The two types of cationic hydroxyethylcelluloses studied, polyquaternium-4 (PQ-4) and polyquaternium-10 (PQ-10), are already commonly used in cosmetic and topical drug delivery devices. Both PQ-4 and PQ-10 spontaneously interact with pDNA with the formation of nanoparticles approximately 200 nm in size. Gel electrophoresis and fluorescence dequenching experiments indicated that the interactions between pDNA and the cationic celluloses were stronger than those between pDNA and PEI. The cationic cellulose/pDNA nanoparticles transfected cells to a much lesser extent than the PEI-based pDNA nanoparticles. The low transfection property of the PQ-4/pDNA nanoparticles was attributed to their neutrally charged surface, which does not allow an optimal binding of PQ-4/pDNA nanoparticles to cellular membranes. Although the PQ-10/pDNA nanoparticles were positively charged and thus expected to be taken up by cells, they were also much less efficient in transfecting cells than were PEI/pDNA nanoparticles. Agents known to enhance the endosomal escape were not able to improve the transfection properties of PQ-10/pDNA nanoparticles, indicating that a poor endosomal escape is, most likely, not the major reason for the low transfection activity of PQ-10/pDNA nanoparticles. We hypothesized that the strong binding of pDNA to PQ-10 prohibits the release of pDNA from PQ-10 once the PQ-10/pDNA nanoparticles arrive in the cytosol of the cells. Tailoring the nature and extent of the cationic side chains on this type of cationic hydroxyethylcellulose may be promising to further enhance their DNA delivery properties.