gebhart/patrepeval huggingface dataset:
A Model to Compute Phase Diagrams in Oxides with Empirical or First‐Principles Energy Methods and Application to the Solubility Limits in the CaO–MgO System (1996)

The CaO–MgO system is used as a prototype system to evaluate the accuracy of several energy and entropy approximations for predicting solid‐state phase diagrams in ionic materials. Configurational disorder between the cations is parameterized with the cluster expansion technique. The vibrational contribution to the free energy is incorporated with a harmonic model that accounts for the dependence of the vibrational density of states on the cation configuration. The CaO–MgO phase diagram can be predicted very accurately with quantum mechanical energy methods, without the use of any adjustable parameters. Published empirical potential parameters for the CaO–MgO system reproduce the qualitative features of the phase diagram but significantly underestimate the solubility limits. Parameters that reasonably reproduce the quantum mechanical results are presented.
100 mm GaN-on-SiC RF MMIC technology (2010)

100 mm diameter 4H-SiC High Purity Semi-Insulating (HPSI) substrates are now being manufactured in high volume. GaN HEMT layers grown on 100 mm SiC substrates have shown excellent sheet resistivity and AlGaN thickness uniformities of 1.3 and 1.1%, respectively. The fabrication process for MMIC manufacture was adapted to the larger diameter wafers without requiring any change to the process design kits for the foundry. MIM capacitor processes were optimized, and resistor process, wafer thinning and slot via etching were all adapted to the larger platform. These 100 mm wafers are now being used in high volume production of both high power discrete GaN devices, as well as MMICs. Commercially available MMICs have been released to production using this 100 mm platform. A wide band 25 Watt power amplifier is discussed, along with a 3 watt driver capable of DC-4 GHz operation.
In-beam spectroscopy using the (t,p) reaction: recent results near A = 100 (1985)

Charged particle spectroscopy using the (t,p) reaction has been employed for more than two decades to study the low-energy structure of nuclei. This reaction has contributed significantly to the elucidation of single-particle and collective phenomena for neutron rich nuclei in virtually every mass region. We have begun to use the (t,p) reaction in conjunctionuclei with in-beam ..gamma..-ray and conversion-electron spectroscopy to bring additional understanding to low-energy nuclear structure. In this report we briefly discuss the experimental considerations in using this reaction for in-beam spectroscopy, and present some results for nuclei with mass near 100.
A Diagnostic Study of Spelling Readiness (1943)

Educators today agree that a child should have a social, emotional and physical readiness for school when he enters the first grade as well as interests, skills, and a mental readiness for the more academic pursuits of school at whatever level he begins to engage in them. Some successful efforts have been made in measuring and establishing readiness for reading, arithmetic, and one or two other academic activities; the present study is an attempt to discover some factors associated with readiness for spelling, or ability to learn English spelling in the primary grades. It explores the rela tion of spelling ability to other language skills in the high first and low second grades and studies some effects on early spelling ability of two types of reading programs, one involving early and large amounts of phonetic analysis, the other later and less emphasis on phonetic procedures.
Incorporation of Halogenated Amino Acids into Antibody Fragments at Multiple Specific Sites Enhances Antigen Binding (2020)

Expansion of the amino-acid repertoire with synthetic derivatives introduces novel structures and functionalities into proteins. In this study, we improved the antigen binding of antibodies by incorporating halogenated tyrosines at multiple selective sites. Tyrosines in the Fab fragment of an anti-EGF-receptor antibody 059-152 were systematically replaced with 3-bromo- and 3-chlorotyrosines, and simultaneous replacements at four specific sites were found to cause a tenfold increase in the affinity toward the antigen. Structure modeling suggested that this effect was due to enhanced shape complementarity between the antigen and antibody molecules. On the other hand, we showed that chlorination in the constant domain, far from the binding interface, of Rituximab Fab also increased the affinity significantly (up to 17-fold). Our results showed that antigen binding is tunable with the halogenation in and out of the binding motifs.
ChemInform Abstract: PREFERENTIAL SOLVATION OF THE THALLOUS ION AND ITS RELATION TO THE THALLIUM‐205 NUCLEAR MAGNETIC RESONANCE CHEMICAL SHIFT (1976)

Abstract Die lösungsmittelabhängige chemische Verschiebung für 2°C 5 Tl(I) hängt linear mit der relativen Lösungsfähigkeit einer Reihe von Lösungsmitteln ( ;z.B. Pyrrolidin, n‐Butylamin, HMPT) für Tl zusammen.
Identity-Disentangled Neural Deformation Model for Dynamic Meshes (2021)

Neural shape models can represent complex 3D shapes with a compact latent space. When applied to dynamically deforming shapes such as the human hands, however, they would need to preserve temporal coherence of the deformation as well as the intrinsic identity of the subject. These properties are difficult to regularize with manually designed loss functions. In this paper, we learn a neural deformation model that disentangles the identity-induced shape variations from pose-dependent deformations using implicit neural functions. We perform template-free unsupervised learning on 3D scans without explicit mesh correspondence or semantic correspondences of shapes across subjects. We can then apply the learned model to reconstruct partial dynamic 4D scans of novel subjects performing unseen actions. We propose two methods to integrate global pose alignment with our neural deformation model. Experiments demonstrate the efficacy of our method in the disentanglement of identities and pose. Our method also outperforms traditional skeleton-driven models in reconstructing surface details such as palm prints or tendons without limitations from a fixed template.
Pseudorandom functions revisited: the cascade construction and its concrete security (2002)

Pseudorandom function families are a powerful cryptographic primitive, yielding, in particular simple solutions for the main problems in private key cryptography. Their existence based on general assumptions (namely the existence of one-way functions) has been established. The authors investigate new ways of designing pseudorandom function families. The goal is to find constructions that are both efficient and secure, and thus eventually to bring the benefits of pseudorandom functions to practice. The basic building blocks in the design are certain limited versions of pseudorandom function families, called finite length input pseudorandom function families, for which very efficient realizations exist impractical cryptography. Thus rather than starting from one-way functions, they propose constructions of "full-fledged" pseudorandom function families from these limited ones. In particular they propose the cascade construction, and provide a concrete security analysis which relates the strength of the cascade to that of the underlying finite pseudorandom function family in a precise and quantitative way.
Do's and Don'ts for Human and Digital Worker Integration (2020)

Robotic process automation (RPA) and its next evolutionary stage, intelligent process automation, promise to drive improvements in efficiencies and process outcomes. However, how can business leaders evaluate how to integrate intelligent automation into business processes? What is an appropriate division of labor between humans and machines? How should combined human-AI teams be evaluated? For RPA, often the human labor cost and the robotic labor cost are directly compared to make an automation decision. In this position paper, we argue for a broader view that incorporates the potential for multiple levels of autonomy and human involvement, as well as a wider range of metrics beyond productivity when integrating digital workers into a business process
Critical function of Ikaros in controlling Aiolos gene expression (2007)

To characterize the regulation of lymphoid Aiolos transcription factor, we have cloned its promoter. Full promoter and nested deletions were expressed in lymphoid and non-lymphoid cell lines. The minimal promoter activity could be considered as a 172bp upstream from the ATG for Jurkat and HEK293 cells and as a 370bp fragment for U937 cells. Moreover, we have mapped the transcription initiation site. Retardation gels showed binding activity for Ikaros, NFkappaB and AP4 transcription factors and mutations in their binding sites abolish Aiolos promoter activity. Chromatin immunoprecipitation assay revealed that Ikaros, NFkappaB and AP4 are bound to Aiolos promoter. The important function of Ikaros and NFkappaB is underlined by their over expression, which results in the trans-activation of the promoter and drives Aiolos expression in cell lines and in freshly isolated B and T cells, while over expression of a dominant negative Ikaros isoform is able to block Aiolos expression.
Fast, Exact Synthesis of Gaussian and nonGaussian Long-Range-Dependent Processes (2009)

1/f noise and statistically self-similar random processes such as fractional Brownian motion (fBm) and fractional Gaussian noise (fGn) are fundamental models for a host of real-world phenomena, from network traffic to DNA to the stock market.Synthesis algorithms play a key rle by providing the feedstock of data necessary for running complex simulations and accurately evaluating analysis techniques.Unfortunately, current algorithms to correctly synthesize these long-range dependent (LRD) processes are either abstruse or prohibitively costly, which has spurred the wide use of inexact approximations.To fill the gap, we develop a simple, fast (O(N log N ) operations for a length-N signal) framework for exactly synthesizing a range of Gaussian and nonGaussian LRD processes.As a bonus, we introduce and study a new bi-scaling fBm process featuring a "kinked" correlation function that exhibits distinct scaling laws at coarse and fine scales.
Predictive markers in breast cancer – the future (2007)

The published literature is awash with examples of new tissue biomarkers promising to predict responses to therapy in breast cancer patients. However, few, if any, of these progress from the laboratory to the clinic. In this review we discuss some of the reasons for this, illustrating our discussion with a selection of biomarkers which are in development and which may be candidates for clinical application within the next few years (topoisomerase II alpha, epidermal growth factor receptor, AKT, phosphatase and tensin homologue). In particular, we explore how our ever increasing knowledge of molecular and pathway biology is facilitating hypothesis-driven biomarker discovery, and the statistical considerations which need to be addressed in order to validate new candidate biomarkers adequately.
INFLUENCE OF AN ANTIOXIDANT NUTRIENT FORTIFIED FOOD PRODUCT AND STRENUOUS EXERCISE ON ANTIOXIDANT ENZYME SYSTEMS 176 (1996)

Sixteen healthy adult male subjects 18-34 y of age participated in a double blind placebo controlled trial designed to measure: 1) the effect of the consumption of an antioxidant nutrient fortified food product (VO2 MAX™ Energy Bar [VM-Bar]) on select components of the oxidative defense system, and 2) the effect of a 30 min run at 80% VO2max, then a continuous ramp to exhaustion within 5 min (EX), on these components, prior to, immediately after, and 24 h after EX. Subjects were trained individuals who continued an exercise regimen (20-25 miles of running/wk) during the trial period. Fortification was achieved using a low-fat food bar (VM-Bar) to which ascorbic acid (94 mg), α-tocopherol acetate (43 mg) and a carotenoid mixture, consisting primarily of α- and β-carotene (7.4 mg), were added during the manufacture of the product. The placebo bar (P-Bar) contained no fortification, but was otherwise identical to the test bar in macronutrient composition, taste and appearance. Subjects consumed 2 bars/d of either the VM-Bar or P-Bar for 6 wk followed by an 8 wk washout period and a subsequent cross-over for an additional 6 wk. EX was performed at the beginning and end of each new treatment. Dietary screening criteria excluded applicants who consumed dietary supplements of any kind. Diets were monitored via 3 d food records during each treatment to ensure consistent nutrient intake. Consumption of the VM-Bar was associated with marked increases in plasmaα-tocopherol, ascorbic acid, and carotenoid concentrations. The concept that these changes were functionally significant is supported by the observation that EX-induced increases in the activities of the oxidant defense enzymes, red blood cell and plasma glutathione peroxidase, and superoxide dismutase were lower in subjects consuming the VM-Bar than the P-Bar(p<0.05). We suggest that this lower induction of enzymes indicates a lower level of oxidative stress in the VM-Bar group.
ChemInform Abstract: Doping Bucky: Formation and Properties of Boron‐Doped Buckminsterfullerene. (1991)

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.
Integrated Covalent Organic Framework/Carbon Nanotube Composite as Li‐Ion Positive Electrode with Ultra‐High Rate Performance (2021)

Abstract Covalent organic frameworks (COFs) are promising electrode materials for Li‐ion batteries. However, the utilization of redox‐active sites embedded within COFs is often limited by the low intrinsic conductivities of bulk‐grown material, resulting in poor electrochemical performance. Here, a general strategy is developed to improve the energy storage capability of COF‐based electrodes by integrating COFs with carbon nanotubes (CNT). These COF composites feature an abundance of redox‐active 2,7‐diamino‐9,10‐phenanthrenequinone (DAPQ) based motifs, robust β‑ketoenamine linkages, and well‐defined mesopores. The composite materials (DAPQ‐COFX—where X = wt% of CNT) are prepared by in situ polycondensation and have tube‐type core‐shell structures with intimately grown COF layers on the CNT surface. This synergistic structural design enables superior electrochemical performance: DAPQ‐COF50 shows 95% utilization of redox‐active sites, long cycling stability (76% retention after 3000 cycles at 2000 mA g −1 ), and ultra‐high rate capability, with 58% capacity retention at 50 A g −1 . This rate translates to charging times of ≈11 s (320 C), implying that DAPQ‐COF50 holds excellent promise for high‐power cells. Furthermore, the rate capability outperformed all previous reports for carbonyl‐containing organic electrodes by an order of magnitude; indeed, this power density and the rapid (dis)charge time are competitive with electrochemical capacitors.
Cyclic tetrapeptides with sequences related to HC toxin. Conformations and cation binding (1987)

Peptides with sequences related to HC toxin (cyclo(LAla-DAla-L-Aoe-DPro] can adopt a conformation locked by three gamma turns. A "structure--spectroscopy characteristics" relationship is proposed. These peptides can complex Mg++ cations and the binding is accompanied by a transconformation of the peptide backbone. The relevance with the biological activity of the toxin is discussed.
ChemInform Abstract: Photochemical Reactions of Alkoxy‐Containing‐Alkyl Phenylglyoxylates: Remote Hydrogen Abstraction. (1997)

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.
HCCI Operability Limits: The Impact of Refinery Stream Gasoline Property Variation (2013)

Homogeneous charge compression ignition (HCCI) combustion is highly dependent on in-cylinder thermal conditions favorable to autoignition, for a given fuel. Fuels available at the pump can differ considerably in composition and autoignition chemistry; hence strategies intended to bring HCCI to market must account for the fuel variability. To this end, a test matrix consisting of eight gasoline fuels composed of blends made solely from refinery streams was investigated in an experimental, single cylinder HCCI engine. The base compositions were largely representative of gasoline one would expect to find across the United States, although some of the fuels had slightly lower average octane values than the ASTM minimum specification of 87. All fuels had 10% ethanol by volume included in the blend. The properties of the fuels were varied according to research octane number (RON), sensitivity (S=RON-MON) and the volumetric fractions of aromatics and olefins. For each fuel, a sweep of the fuelling was carried out at each speed from the level of instability to excessive ringing to determine the limits of HCCI operation. This was repeated for a range of speeds to determine the overall operability zone. The fuels were kept at a constant intake air temperature during these tests. The variation of fuel properties brought about changes in the overall operating range of each fuel, as some fuels had more favorable low load limits, whereas others enabled more benefit at the high load limit. The extent to which the combustion event changed from the low load limit to the high load limit was examined as well, to provide a relative criterion indicating the sensitivity of HCCI range to particular fuel properties.
Side-information-aided Noncoherent Beam Alignment Design for Millimeter Wave Systems (2019)

Designing efficient and robust beam alignment strategies for millimeter wave (mmWave) systems is important for overcoming training overheads and practical hardware impairments. In this work, we leverage side information in the form of prior knowledge of the angular support of the propagation channel (direction information) to design a compressive sensing (CS) based beam alignment algorithm. Existing CS based channel estimation approaches assume perfect phase information of the measurements, which is not the case with the low-cost off-the-shelf mmWave phased arrays. Instead, we develop a two-stage algorithm where we use the magnitude of measurements (aka non-coherent measurements); using phase retrieval (PR) followed by sparse recovery, we estimate the channel gain across various (quantized) spatial angles. To validate the proposed algorithm, we develop a fully reconfigurable mmWave testbed with custom-made 2-bit phased arrays. We perform a careful calibration to the phased arrays, thus enabling generations of precise desired beam patterns. Our implementation and real experiments validate both the proposed algorithm and calibration process by demonstrating consistency between the experimental results and the theoretical analysis.
1,2-Dihalotetrafluoroethane/Benzene as Versatile Synthons in Supramolecular: Legoland. Architecture (2006)

info:eu-repo/semantics/published
TORISHIKI-KAI, An Autogenerated Web Search Directory (2008)

With this research we present a system that suggests valuable complementary information relevant to a user's topic of interest, in the form of keywords. For this purpose we have automatically constructed a Web search directory called TORISHIKI-KAI from a large collection of Web documents, using state of the art knowledge acquisition methods. TORISHIKI-KAI maps out the use context of the terms input by the user, and classifies topically related search terms according to semantic categories such as potential troubles, methods or tools in order to help the user find potentially valuable "unknown unknowns".
On-board odometry estimation for 3D vision-based SLAM of humanoid robot (2012)

This paper addresses a vision-based 3D motion estimation framework for humanoid robots, which copes with human-like walking pattern. A humanoid robot, called Roboray, is designed for dynamic walking control with heel-toe motion like a human. In spite of stability and energy efficiency of the dynamic walking, it accompanies larger swaying motion and more uncertainty in camera movement than the conventional ZMP (Zero Moment Point)-based walking does. The framework effectively uses on-board odometry information from the robot to improve the performance of the visionbased motion estimation. To accomplish this, we propose an onboard odometry filter which fuses kinematic odometry, visual odometry, and raw IMU data. And the odometry filter is combined with vision-based SLAM to provide accurate motion model, so it enhances the SLAM estimates. Experimental results in indoor environment verify that the framework can successfully estimate the pose of Roboray in real-time.
Inhibition of P-Selectin and PSGL-1 Using Humanized Monoclonal Antibodies Increases the Sensitivity of Multiple Myeloma Cells to Bortezomib (2015)

Multiple myeloma (MM) is a plasma cell malignancy localized in the bone marrow. Despite the introduction of novel therapies majority of MM patients relapse. We have previously shown that inhibition of P-selectin and P-selectin glycoprotein ligand-1 (PSGL-1) play a key role in proliferation of MM and using small-molecule inhibitors of P-selectin/PSGL-1 sensitized MM cells to therapy. However, these small-molecule inhibitors had low specificity to P-selectin and showed poor pharmacokinetics. Therefore, we tested blocking of P-selectin and PSGL-1 using functional monoclonal antibodies in order to sensitize MM cells to therapy. We have demonstrated that inhibiting the interaction between MM cells and endothelial and stromal cells decreased proliferation in MM cells and in parallel induced loose-adhesion to the primary tumor site to facilitate egress. At the same time, blocking this interaction in vivo led to MM cells retention in the circulation and delayed homing to the bone marrow, thus exposing MM cells to bortezomib which contributed to reduced tumor growth and better mice survival. This study provides a better understanding of the biology of P-selectin and PSGL-1 and their roles in dissemination and resensitization of MM to treatment.
Oligonucleotide Determination via Peptide Nucleic Acid Macromolecular Imprinting in an Electropolymerized CG-Rich Artificial Oligomer Analogue (2018)

We devised and fabricated a chemosensor for determination of the genetically relevant 5'-GCGGCGGC-3' (G = guanine; C = cytosine) oligonucleotide. For that, we simultaneously electrosynthesized and electrode-immobilized a sequence-defined octakis(2,2'-bithien-5-yl) DNA hybridizing probe using both a "macromolecular imprinting in polymer strategy" and a sequence-programmable peptide nucleic acid (PNA) template. With electrochemical impedance spectroscopy (EIS) and surface plasmon resonance (SPR) transductions under stagnant-solution and flow injection analysis (FIA) conditions, respectively, we determined the above oligonucleotide with 200-pM EIS limit of detection. With its EIS-determined apparent imprinting factor of ∼4.0, the chemosensor was discriminative to both mismatched oligonucleotides and Dulbecco's modified Eagle's medium sample interferences.