gebhart/patrepeval huggingface dataset:
Significant Correlation between Survival Endpoints and Exposure to Ofatumumab (HuMax-CD20) in Chronic Lymphocytic Leukemia. (2006)

Abstract Background: The fully human monoclonal IgG1 antibody HuMax-CD20 targets a novel epitope of the CD20 molecule on B-cells. HuMax-CD20 stops growth of engrafted B-cell tumors in SCID mice more efficiently than Rituximab and i.v. infusion of HuMax-CD20 in cynomolgus monkeys leads to profound, long lasting, dose-dependent B-cell depletion. Aim: The objective of the present trial was to establish the safety, efficacy and the pharmacokinetics of HuMax-CD20 in patients with chronic lymphocytic leukemia. Methods: Data are presented from an open label, dose-escalation, multicenter phase I/II clinical trial. 3 cohorts of 3 (A), 3 (B) and an extended cohort of 27 (C) patients with relapsed or refractory chronic lymphocytic leukemia (B-CLL) received 4 weekly i.v. infusions of HuMax-CD20 and were followed for 12 months. The first infusion was 100 mg, 300 mg and 500 mg in cohort A, B and C and the following 3 infusions were of 500, 1000 and 2000 mg, respectively. The endpoints were B-cell depletion, adverse events, objective response according to the NCI working group guidelines for CLL, time to progression, duration of response, time to next anti-CLL treatment, and pharmacokinetics. Data are presented from group C. Results: Median age was 63 years (range, 27–82); median time since diagnosis was 6.1 years (range, 1–14). Maximum tolerated dose was not reached and none of the patients developed human anti human antibodies. 13 of 27 patients (48%) reported infections and infestations most frequently CTC grade 1 or 2 events of nasopharyngitis, gastroenteritis, sinusitis and upper respiratory tract infection without causal relation to ofatumumab. All patients had pronounced reduction of the leukemic CD19+CD5+ cell counts. Objective response rate was 46% (12 of 26 evaluable patients) with 1 nPR and 11 PR. Median time to progression (TTP) was 133 days (95 % CI 105–158) in the full analysis population and 161 days (95 % CI 140–220) in the subgroup of responders. The duration of response was 112 days (95 %CI 100–133). Time to next anti-CLL therapy was 366 days (95 % CI 258-N.A.). AUC (median 344697 μg/mL*h; range 62709–1362933) correlated significantly to both TTP and time to next anti-CLL therapy to which parameters the clearance (Cl) of ofatumumab (median 10 mL/h; range 3–42) correlated inversely. Correlation between survival endpoints and PK Time to progression Time to next anti-CLL therapy ρ p-value n ρ p-value n ρ: Spearman correlation coefficient, n: number of observations AUC,μg/mL*h 0.55 0.005 24 0.62 0.001 24 Cl, mL/h −0.59 0.003 23 −0.58 0.003 23 Conclusion: This analysis of data from the first study of ofatumumab in CLL patients provides an indication of clinical benefit associated with high exposure and low clearance.
PROPERTIES OF BARIUM‐STRONTIUM TITANATE DIELECTRICS* (1947)

A bstract The results on barium‐strontium titanates are given for heat‐treatment, absorption, shrinkage, thermal expansion, dielectric constant, K , at minus 60° to 85°C. and also for Q (the reciprocal of the power factor) at 25°C. for frequencies of 50 kc. per sec. to 20 mc. per sec. A few measurements of K and Q were made at 3000 mc. per sec. Specimens with an absorption of less than 0.l% matured at 1250° to 1430°C. K values ranged from 34 for BaO:4TiO 2 to several thousand for specimens with compositions on the BaTiO 3 ‐SrTiO 3 join. The BaO: 5TiO 2 specimens were unique in that their temperature coefficient of K was practically zero. O values ranged from 50 to 100 for test pieces containing more than 40% of BaO and from 400 to 10,000 for those with less than 40% of BaO. K values did not change appreciably with frequency. Linear thermal expansions (between 25° and 700°C.) ranged from 0.6 to 0.84%. Many of these specimens could be used in radio equipment.
Biofilm parameters influencing biocide efficacy (1995)

The influence of biofilm areal cell density, species composition, and the presence of abiotic particles on the disinfection and removal of bacterial biofilms by monochloramine was investigated. Mono- and binary population biofilms of Pseudomonas aeruginosa and Klebsiella pneumoniae were grown on stainless-steel slides in a continuous flow annular reactor. Biofilms were treated in the reactor with a pulse/step dose of 4 mg/L monochloramine for 2 h. Biofilm samples were disaggregated and assayed for colony formation on R2A agar and for total cell numbers by acridine orange direct counts. These data were used to determine apparent first order rate coefficients for the processes of disinfection and detachment. Disinfection rate coefficients exceeded detachment rate coefficients by as much as an order of magnitude and the two coefficients were poorly correlated (r = 0.272). The overall decay rate coefficient (disinfection plus detachment) depended strongly on the initial biofilm areal cell density. It displayed a parabolic dependence on cell density with a maximum near 10(8) cfu/cm(2). This result points to multiple factors influencing biofilm susceptibility to antimicrobial challenge. Decay rates of K. pneumoniae measured in binary population biofilms were comparable with those measured in monopopulation biofilms (p = 0.61). P. aeruginosa decayed more slowly in biofilm dominated by K. pneumoniae (p = 0.028), indicating some interaction between species. The presence of kaolin and calcium carbonate particles in the biofilm reduced disinfection efficacy.
The Enhancement of Cell Lethality and Changes in Production and Repair of DNA Damage by Hypertonic Treatment after Exposure to X Rays, Belomycin, and Neocarzinostatin (1993)

Chinese hamster ovary cells were treated with hypertonic 0.5 M NaCl solution after exposure to X rays or the radiomimetic drugs bleomycin or neocarzinostatin. The cytotoxicity of these agents was greatly enhanced by the hypertonic treatment. On the other hand, no effect was observed after exposure to ultraviolet light, and a significant effect was obtained with mitomycin C (MMC), adriamycin (ADR), and ethyl methanesulfonate (EMS). Assays by filter elution revealed that hypertonicity had various effects on the damage produced by the different agents. Strand breaks resulting from exposure to X rays and radiomimetic agents were sensitive to hypertonic treatment. Hypertonicity caused the production of new lesions and inhibited the rejoining of DNA strand breaks, both of which may be responsible for the enhanced cytotoxicity. On the other hand, the formation of crosslinks by MMC or protein-associated double-strand breaks by ADR, the major forms of damage by which these agents cause cytotoxicity, was not affected by hypertonic treatment. As strand breaks are known to be produced by MMC or ADR, they could account at least partly for the sensitization. However, various kinds of damage are produced by MMC, and any of these could be involved in the sensitization. To our knowledge EMS produces only base damage. Thus hypertonic treatment may have an effect on various types of damage.
2D Barcode and Augmented Reality Supported English Learning System (2007)

This study aims to construct a 2D barcode handheld augmented reality supported learning system called HELLO (handheld english language learning organization), to improve students' English level. The HELLO integrates the 2D barcodes, the Internet, augmented reality, mobile computing and database technologies. The proposed system consists of two subsystems: an English learning management system and a mobile learning tools system. A four-week pilot study and questionnaire survey were conducted in college to evaluate effects of proposed learning system and student learning attitudes. Furthermore, the evaluation results indicate that 2D barcodes and augmented reality technology are useful for English learning.
Second-harmonic generation in single-mode optical fibres (1987)

We consider the origin of frequency-doubling in single-mode optical fibres. We show that the presence of nonlinear electric quadrupole and magnetic dipole moments can explain the initial formation of frequency-doubled light, and present the results of a detailed theoretical analysis of these effects which is in good agreement with experiment.
Low Dielectric Constant Organic-Inorganic Hybrid Materials by Non-Hydrolytic Sol-Gel Method (2005)

In this paper, we report the fabrication of fluorinated organic-inorganic hybrid materials and the investigation of the effects of fluorine contents on the dielectric constant of the fluorinated organic-inorganic hybrid materials. Thickness of the hybrid thin film was about 500 nm by single spin coating and the adhesion between the substrate and the hybrid film was good. Dielectric constants of hybrid thin films decreased from 4.2 to 2.98 (at 1 MHz) as the fluorine content increased.
Recognition of chlamydial antigen by HLA‐B27‐restricted cytotoxic T cells in HLA‐B*2705 transgenic CBA (H‐2<sup>k</sup>) mice (1997)

These results suggest the existence of at least 2 CTL populations in this mouse model: one recognizing peptide of bacteria-infected cells restricted by HLA-B*2705 and the other recognizing peptide of bacteria-infected cells restricted by the murine H-2Kk molecule. It does not appear that hsp57 is a major target for the CD8 T cell response directed against Chlamydia. This animal model opens the way for identifying bacterial epitopes presented by HLA-B27, and might thus help to clarify the pathogenesis of B27-associated diseases.
Microphase Separation in Thermosetting Blends of Epoxy Resin and Poly(ε-caprolactone)-<i>block</i>-Polystyrene Block Copolymers (2008)

The block copolymers, poly(ε-caprolactone)-block-polystyrene (PCL-b-PS) with the linear and star-shaped topological structures were synthesized via the combination of ring-opening polymerization (ROP) and atom transfer radical polymerization (ATRP). The two block copolymers with the identical block compositions were incorporated into epoxy to access the nanostructured thermosets. The microphase-separated morphologies in the systems were investigated by means of atomic force microscopy (AFM) and small-angle X-ray scattering (SAXS). It is identified that the epoxy thermosets can display the long-ranged ordered nanostructures depending on the concentration of the diblock copolymers. By considering the miscibility of the subchains of the block copolymers with epoxy after and before the curing reaction, it is judged that the formation of the nanostructures followed the mechanism of reaction-induced microphase separation. It is noted that the nanoscaled morphologies of the thermosets are quite dependent on the macromolecular topologies of the block copolymers. For the epoxy thermosets containing the linear PCL-b-PS diblock copolymer, the spherical PS nanophases were arranged into cubic (e.g., bcc, fcc, or simple cubic) lattice whereas the PS nanophases into lamellar lattice while the thermosets contain the tetra-armed PCL-b-PS block copolymer. The difference in nanostructures for the epoxy thermosets has been interpreted on the basis of the restriction of topological structures of the block copolymers on the formation of nanophases.
Measurement of Three Dimensional Objects Using Gray Code Projection (2nd Report) (1996)

In three dimensional measurement system using the gray code projection, this paper proposes the technique for improving the reliability of the space encoding method. This space encoding method can measure the object under the illumination, the colored surface of object. The measurement space is encoded to 256 spaces by four gray level patterns. These patterns are projected by liquid crystal color projector, and are taken by CCD camera. When measurement area is 160 mm × 130 mm, measurement accuracy of this system is 1 mm, and the standard deviation is 0.41 mm in the horizontal cross-section, 0.34 mm in the vertical cross-section. It is shown that this method can measure colored object, by measuring the colored plaster figure in the dark and under the illumination.
Symmetry Detection and Boolean Matching Utilizing a Signature-Based Canonical Form of Boolean Functions (2008)

A compact canonical form and a computational procedure for solving the Boolean matching problem under permutation and complementation of variables are presented. The proposed approach, which utilizes generalized signatures and variable symmetries, can handle combinational functions with no limitation on the number of input variables. Experimental results demonstrate the generality and effectiveness of the proposed canonical form and the associated Boolean matching algorithm.
Tritium‐ und <sup>14</sup>C‐markiertes Dithranol‐1,8,9‐triacetat (1980)

Abstract Dithranol (1) wird mit [1‐ 14 C]‐Acetanhydrid zu 1,8,9‐[ 14 C]‐Triacetoxyanthracen (2) umgesetzt. 1,8,9‐Triacetoxy[ 3 H]‐anthracen entsteht aus 1,8‐Dihydroxy‐[ 3 H]‐9,10‐anthrachinon (6) durch Reduktion und Acetylierung.
Modeling and optimization of the capacity allocation problem with constraints (2006)

The Constraint Satisfaction Problem (CSP) is proven more and more promising to model and to solve a great number of real problems. A lot of approaches using constraint reasoning have proposed to solve search problems. In this paper, we propose a modeling of Capacity Allocation Problem of an airport (CAP) and of its fixes (FCAP) in form of a Constraint Satisfaction Problem. This modeling gives a CSP problem calledFCSPAC. Then, in order to solve theFCSPAC, we propose an Optimization model calledCOFCAP .W e present some experimental results through an example followed by its optimized resolution. Finally, we show how to control the solutions of an FCSPAC to assist the airport managers to face unforeseen events and present some future work.
Various nanofabrication approaches towards two-dimensional photonic crystals for ceramic plate phosphor-capped white light-emitting diodes (2014)

This paper compares four different nanofabrication processes towards various two-dimensional (2D) photonic crystals (PCs) on a Y3Al5O12:Ce3+ (YAG:Ce) yellow ceramic plate phosphor (CPP) in order to enhance the luminous efficacy of YAG:Ce CPP-capped high-power white light-emitting diodes (LEDs). Compared with conventional flat CPP-capped LEDs, every type of 2D PC-assisted YAG CPP-capped LED improves the outcoupling efficiency, current and temperature stability, angular stability of color temperature, and thermal conductivity. Careful evaluation of the optical properties of 2D PC-assisted CPP LEDs shows that the highest luminous efficacy (∼142.7 lm W−1) is attained from a 2D TiO2 nanobowl PC-CPP LED sample, which was fabricated by nanosphere-based template growth and the dry etching process, and this evaluation indicates that 2D PC-assisted CPP-capped white LEDs will lead to further technological advancements for applications in highly efficient and thermally stable high-power white LEDs.
Standardizing the Classification and Description of Follicular Unit Transplantation and Mini-Micrografting Techniques (1998)

Previous attempts at classifying small graft transplants have focused mainly upon graft size and have not taken into consideration other technical factors involved in graft production that may influence the outcome of the surgery. The proposed classification attempts to consider these factors by including various technical aspects of harvesting, dissection, and placement, all of which impact the quality and quantity of the small grafts used in the procedure. By standardizing the nomenclature, as well as the description of the other factors involved in the surgery, communication between physicians and patients may be facilitated. In addition, different procedures may be more accurately studied and compared.
Direct Object Recognition Without Line-of-Sight Using Optical Coherence (2019)

Visual object recognition under situations in which the direct line-of-sight is blocked, such as when it is occluded around the corner, is of practical importance in a wide range of applications. With coherent illumination, the light scattered from diffusive walls forms speckle patterns that contain information of the hidden object. It is possible to realize non-line-of-sight (NLOS) recognition with these speckle patterns. We introduce a novel approach based on speckle pattern recognition with deep neural network, which is simpler and more robust than other NLOS recognition methods. Simulations and experiments are performed to verify the feasibility and performance of this approach.
Synthesis, Characterization, and Photoelectrochemical Catalytic Studies of a Water‐Stable Zinc‐Based Metal–Organic Framework (2017)

Metal-organic frameworks (MOFs) are class of porous materials that can be assembled in a modular manner by using different metal ions and organic linkers. Owing to their tunable structural properties, these materials are found to be useful for gas storage and separation technologies, as well as for catalytic applications. A cost-effective zinc-based MOF ([Zn(bpcda)(bdc)]<sub>n</sub> ) is prepared by using N,N'-bis(pyridin-4-ylmethylene)cyclohexane-1,4-diamine [N,N'-bis(pyridin-4-ylmethylene)cyclohexane-1,4-diamine] and benzenedicarboxylic acid (bdc) linkers. This new material exhibits remarkable photoelectrochemical (PEC) catalytic activity in water splitting for the evolution of oxygen. Notably, this non-noble metal-based MOF, without requiring immobilization on other supports or containing metal particles, produced a highest photocurrent density of 31 μA cm<sup>-2</sup> at 0.9 V, with appreciable stability and negligible photocorrosion. Advantageously for the oxygen evolution process, no external reagents or sacrificial agents are required in the aqueous electrolyte solution.
Learning and Fusing Multimodal Deep Features for Acoustic Scene Categorization (2018)

Convolutional Neural Networks (CNNs) have been widely applied to audio classification recently where promising results have been obtained. Previous CNN-based systems mostly learn from two-dimensional time-frequency representations such as MFCC and spectrograms, which may tend to emphasize more on the background noise of the scene. To learn the key acoustic events, we introduce a three-dimensional CNN to emphasize on the different spectral characteristics from neighboring regions in spatial-temporal domain. A novel acoustic scene classification system based on multimodal deep feature fusion is proposed in this paper, where three CNNs have been presented to perform 1D raw waveform modeling, 2D time-frequency image modeling, and 3D spatial-temporal dynamics modeling, respectively. The learnt features are shown to be highly complementary to each other, which are next combined in a feature fusion network to obtain significantly improved classification predictions. Comprehensive experiments have been conducted on two large-scale acoustic scene datasets, namely the DCASE16 dataset and the LITIS Rouen dataset. Experimental results demonstrate the effectiveness of our proposed approach, as our solution achieves state-of-the-art classification rates and improves the average classification accuracy by 1.5% - 8.2% compared to the top ranked systems in the DCASE16 challenge.
Elasticity-aware virtual machine placement for cloud datacenters (2013)

With the increasing popularity of cloud computing, the cloud datacenter suffers from both limited resources and the variation of users' requests. One important feature of cloud computing is on-demand scaling, enabling the fluctuation of one user's resource demand. However, amongst previous work concerning the virtual machine (VM) placement in datacenters, satisfying the VMs' requested resources of users is the primary objective, neglecting future demand variation. In this paper, we propose the concept of elasticity, referring to how well the datacenter can satisfy the growth of the input VMs resource demands under both the limitations of physical machines (PMs) capacities and links capacities. To consider both dimensions of the machine and bandwidth resources simultaneously, we propose our hierarchical VM placement algorithm. We also prove the optimality of our algorithm in a frequently used semi-homogeneous datacenter configuration. Furthermore, we study the heterogeneous datacenter configuration, favoring the characteristics of multi-tenant datacenters. Evaluation results validate the efficiency of our algorithm.
EMPLOYEES IN THE DARK. (1992)

8 ASUBTITLE: AS THE THIRD PHASE OF DEREGULATION IN EUROPE APPROACHES, THERE SEEMS TO BE LITTLE TO REASSURE UNIONS OVER BASIC TERMS AND CONDITIONS...
Fitting B-spline curves to point clouds by curvature-based squared distance minimization (2006)

Computing a curve to approximate data points is a problem encountered frequently in many applications in computer graphics, computer vision, CAD/CAM, and image processing. We present a novel and efficient method, called squared distance minimization (SDM), for computing a planar B-spline curve, closed or open, to approximate a target shape defined by a point cloud , that is, a set of unorganized, possibly noisy data points. We show that SDM significantly outperforms other optimization methods used currently in common practice of curve fitting. In SDM, a B-spline curve starts from some properly specified initial shape and converges towards the target shape through iterative quadratic minimization of the fitting error. Our contribution is the introduction of a new fitting error term, called the squared distance (SD) error term , defined by a curvature-based quadratic approximant of squared distances from data points to a fitting curve. The SD error term faithfully measures the geometric distance between a fitting curve and a target shape, thus leading to faster and more stable convergence than the point distance (PD) error term, which is commonly used in computer graphics and CAGD, and the tangent distance (TD) error term, which is often adopted in the computer vision community. To provide a theoretical explanation of the superior performance of SDM, we formulate the B-spline curve fitting problem as a nonlinear least squares problem and conclude that SDM is a quasi-Newton method which employs a curvature-based positive definite approximant to the true Hessian of the objective function. Furthermore, we show that the method based on the TD error term is a Gauss-Newton iteration, which is unstable for target shapes with high curvature variations, whereas optimization based on the PD error term is the alternating method that is known to have linear convergence.
Distributed Network, Wireless and Cloud Computing Enabled 3-D Ultrasound; a New Medical Technology Paradigm (2009)

Medical technologies are indispensable to modern medicine. However, they have become exceedingly expensive and complex and are not available to the economically disadvantaged majority of the world population in underdeveloped as well as developed parts of the world. For example, according to the World Health Organization about two thirds of the world population does not have access to medical imaging. In this paper we introduce a new medical technology paradigm centered on wireless technology and cloud computing that was designed to overcome the problems of increasing health technology costs. We demonstrate the value of the concept with an example; the design of a wireless, distributed network and central (cloud) computing enabled three-dimensional (3-D) ultrasound system. Specifically, we demonstrate the feasibility of producing a 3-D high end ultrasound scan at a central computing facility using the raw data acquired at the remote patient site with an inexpensive low end ultrasound transducer designed for 2-D, through a mobile device and wireless connection link between them. Producing high-end 3D ultrasound images with simple low-end transducers reduces the cost of imaging by orders of magnitude. It also removes the requirement of having a highly trained imaging expert at the patient site, since the need for hand-eye coordination and the ability to reconstruct a 3-D mental image from 2-D scans, which is a necessity for high quality ultrasound imaging, is eliminated. This could enable relatively untrained medical workers in developing nations to administer imaging and a more accurate diagnosis, effectively saving the lives of people.