gebhart/patrepeval huggingface dataset:
A two-step analytic design and optimization of small variable speed PMSMs for home appliances (2016)

This paper presents the design of an inner rotor Permanent Magnet (PM) motor using a two-step approach. The first step consists of retrieving the basic geometric and electric constants using a combination of both an analytic and a multi-objective Genetic Algorithm (GA). This technique allows the most efficient and cheapest motor for a certain type of home appliances application to be found when harmonics are neglected during the optimization design. This assumption implies that iron losses are only relevant in the stator domains. The peculiarity of the optimization of the motor is the fact that the most efficient operating point is located at one tenth of the maximum load of the electric motor. The second step consists of comparing the resulting optimized motor using Finite Element Analysis. This step is crucial to accurately compare the efficiency of the resulting drive with the analytic results. The advantage of using this tool is that we can also include the effect of the different space harmonics in the efficiency computation. These harmonics rotate at a different speed than the rotor and can produce additional losses in the rotor's iron parts. The agreement between the results of the two-step analysis infers that the effect of the space harmonics is not relevant for this drive. The decay of efficiency due to these space harmonics is in the order of 0.05%.
Adaptive sampling of intersectable models exploiting image and object-space coherence (2005)

We present a sampling strategy and rendering framework for intersectable models, whose surface is implicitly defined by a black box intersection test that provides the location and normal of the closest intersection of a ray with the surface. To speed up image generation despite potentially slow intersection tests, our method exploits spatial coherence by adjusting the sampling resolution in image space to the surface variation in object space. The result is a set of small, view-dependent bilinear surface approximations, which are rendered as quads using conventional graphics hardware. The advantage of this temporary rendering representation is two-fold: First, rendering is performed on the GPU, leaving CPU time for ray intersection computation. As the number of primitives is typically small, complex per vertex or per fragment programs can be used to achieve a variety of rendering effects. Second, bilinear surface approximations are derived from the geometry and can be reused in other views. Here, graphics hardware is exploited to determine the subset of image space in need of re-sampling. We demonstrate our system by ray casting an implicit surface defined from point samples, for which current ray-surface intersection computations are usually too slow to generate images at interactive rates.
Exon-skipping in BCR/ABL is induced by ABL exon 2 (2000)

The BCR/ABL fusion gene is pathognomonic for chronic myelogenous leukaemia (CML). We have previously reported alternative splicing of BCR/ABL, as indicated by the detection of both p190- and p210-encoding transcripts, in about 60% of CML patient samples. These exon-skipping events involved the joining of ABL exon 2 to variable upstream BCR exons. Similarly, ABL exon 2 is alternatively spliced to either of two upstream ABL exons (1a or 1b) in c-ABL. We have constructed BCR and BCR/ABL minigenes to study this phenomenon in more detail. These constructs were transfected into various cell types and splicing was assessed by reverse transcriptase PCR. Whereas the basic BCR minigene expressed exon-inclusive transcripts only, insertion of genomic DNA spanning ABL exon 2 induced exon-skipping but only when expressed in the CML cell lines K562 and EM3. In this study we localized the required sequence element to ABL exon 2 itself. These results mimic the splicing phenotype displayed by most CML patients. We propose a model where a trans-factor present in some CML cells interacts with ABL exon 2 pre-mRNA to promote skipping of upstream BCR exons.
Hydrogenation of Acetophenone at Room Temperature and Atmospheric Pressure over Pt-Containing Catalysts Supported on Reducible Oxides (2019)

Complete conversion of acetophenone is achieved over 1% Pt/CеО2–ZrО2 catalyst in 2 h at room temperature and atmospheric pressure. Catalysts supported on the synthesized cerium–zirconium carriers show abnormally high hydrogen absorption in the temperature range of −50 to +25°С, and significantly exceed the activity of commercial samples in acetophenone hydrogenation.
Thermodynamic characteristics of poly(cyclohexylethylene-b-ethylene-co-ethylethylene) block copolymers Part B Polymer physics (2010)

A series of poly(cyclohexylethylene-b-ethylene-co-ethylethylene) (C-E/EE) diblock copolymers containing approximately 50% by volume glassy C blocks and varying fraction (x) of EE repeat units, 0.07 [less-than or equal to] x [less-than or equal to] 0.90, was synthesized by anionic polymerization and catalytic hydrogenation. The effects of ethyl branch content on the melt state segment-segment (χ) interaction parameter and soft (E/EE) block crystallinity were studied. The percent crystallinity ranged from approximately 30% at x = 0.07 to 0% at about x ≥ 0.30, while the melting temperature changed from 101 °C at x = 0.07 to 44 °C at x = 0.28. Dynamic mechanical spectroscopy was employed to determine the order-disorder transition (ODT) temperatures, from which χ was calculated assuming the mean-field prediction (χNn)ODT = 10.5. Previously published results for the temperature dependent binary interaction parameters for C-E (x = 0.07), C-EE (x = 0.90), and E-EE (x = 0.07 and x = 0.90) fail to account for the quantitative x dependence of χ, based on a simple binary interaction model.
Library-Based Discovery and Characterization of Daphnane Diterpenes as Potent and Selective HIV Inhibitors in Daphne gnidium (2011)

Despite the existence of an extended armamentarium of effective synthetic drugs to treat HIV, there is a continuing need for new potent and affordable drugs. Given the successful history of natural product based drug discovery, a library of close to one thousand plant and fungal extracts was screened for antiretroviral activity. A dichloromethane extract of the aerial parts of Daphne gnidium exhibited strong antiretroviral activity and absence of cytotoxicity. With the aid of HPLC-based activity profiling, the antiviral activity could be tracked to four daphnane derivatives, namely, daphnetoxin (1), gnidicin (2), gniditrin (3), and excoecariatoxin (4). Detailed anti-HIV profiling revealed that the pure compounds were active against multidrug-resistant viruses irrespective of their cellular tropism. Mode of action studies that narrowed the site of activity to viral entry events suggested a direct interference with the expression of the two main HIV co-receptors, CCR5 and CXCR4, at the cell surface by daphnetoxin (1).
Use of digital holographic microscopy in tomography (2006)

Digital Holographic Microscopy (DHM) provides three-dimensional (3D) images with a high vertical accuracy in the nanometer range and a diffracted limited transverse resolution. This paper focuses on 3 different tomographic applications based on DHM. First, we show that DHM can be combined with time gating: a series of holograms is acquired at different depths by varying the reference path length, providing after reconstruction images of slices at different depths in the specimen thanks to the short coherence length of the light source. Studies on enucleated porcine eyes will be presented. Secondly, we present a tomography based on the addition of several reconstructed wavefronts measured with DHM at different wavelengths. Each wavefront phase is individually adjusted to be equal in a given plane of interest, resulting in a constructive addition of complex waves in the selected plane and destructive addition in the others. Varying the plane of interest enables the scan of the object in depth. Thirdly, DHM is applied to perform optical diffraction tomography of a pollen grain: transmission phase images are acquired for different orientations of the rotating sample, then the 3D refractive index spatial distribution is computed by inverse radon transform. The presented works will exemplify the versatility of DHM, but above all its capability of providing quantitative tomographic data of biological specimen in a quick, reliable and non-invasive way.
Porcine somatic cell nuclear transfer using telomerase reverse transcriptase-transfected mesenchymal stem cells reduces apoptosis induced by replicative senescence (2020)

Mesenchymal stem cells (MSCs) have been widely used as donor cells for somatic cell nuclear transfer (SCNT) to increase the efficiency of embryo cloning. Since replicative senescence reduces the efficiency of embryo cloning in MSCs during in vitro expansion, transfection of telomerase reverse transcriptase (TERT) into MSCs has been used to suppress the replicative senescence. Here, TERT-transfected MSCs in comparison with early passage MSCs (eMSCs) and sham-transfected MSCs (sMSCs) were used to evaluate the effects of embryo cloning with SCNT in a porcine model. Cloned embryos from tMSC, eMSC, and sMSC groups were indistinguishable in their fusion rate, cleavage rate, total cell number, and gene expression levels of OCT4, SOX2 and NANOG during the blastocyst stage. The blastocyst formation rates of tMSC and sMSC groups were comparable but significantly lower than that of the eMSC group (p < 0.05). In contrast, tMSC and eMSC groups demonstrated significantly reduced apoptotic incidence (p < 0.05), and decreased BAX but increased BCL2 expression in the blastocyst stage compared to the sMSC group (p < 0.05). Therefore, MSCs transfected with telomerase reverse transcriptase do not affect the overall development of the cloned embryos in porcine SCNT, but enables to maintain embryo quality, similar to apoptotic events in SCNT embryos typically achieved by an early passage MSC. This finding offers a bioengineering strategy in improving the porcine cloned embryo quality.
Denosumab-treated Giant Cell Tumors of Bone: A Clinicopathologic Analysis of 35 Cases From the French Group of Bone Pathology (2019)

Denosumab, an antibody directed against receptor activator of nuclear factor-κB ligand (RANKL), has recently been introduced in the treatment strategy of giant cell tumor of bone. In this study, we assessed the tumor changes induced by denosumab in a national multicentric series of 35 cases (French Bone Pathology Group network-ResOs). Tissue specimens collected before and after denosumab treatment were investigated for RANKL, H3.3 G34W, p63, and Ki-67 expression, and for H3F3A mutation. These parameters were put in correspondance with clinical and radiologic presentation to identify prognostic factors, and more specifically, predictive markers of an optimal histologic response to denosumab, identified as a ≥50% loss in giant cells with fibrosis and ossification. The main changes in posttreatment specimens showed an induction of ossification (P=2.10), an increased fibrosis (P=3.10), and a major decrease in giant cells (P=6.10). No significant change in mononuclear tumor cell density and in patterns of expression of RANKL (P=0.061) and H3.3 G34W was observed (P=0.061). An optimal histologic response to denosumab treatment was associated with an enhanced progression-free survival (P=0.010 in univariate analyses; P=0.040 in multivariate analyses). The initial number of giant cells was predictive of the histologic response to treatment (P=0.016). In summary, denosumab treatment induced radical changes in the tumor. The histologic response, despite the absence of objective regression of the mononuclear cells, was associated with an enhanced progression-free survival. Greater numbers of giant cells represented the only predictive indication of an optimal histologic response to denosumab treatment.
Lock-Free Synchronization of Data Flow between Time-Triggered and Event-Triggered Activities in a Dependable Real-Time System (2009)

Time-triggered execution of periodic tasks provides the cornerstone of dependable real-time systems. In addition, there is often a need for executing event-triggered activities while the system would be otherwise idle. If time-triggered and event-triggered activities exchange information among each other, the data flow must be synchronized such that reading unfinished output data is avoided. We present a lock-free solution for these synchronization issues that is based exclusively on memory load and store operations and can be implemented efficiently on embedded systems without any operating system support. We also discuss the implications of our synchronization approach for the semantics of combined time-triggered and event-triggered execution in a dependable real-time system.
The Chemistry and Antibiotic Activity of the Toadstool Agaricus xanthoderma (Agaricales) (1985)

The toadstool Agaricus xanthoderma, which has a phenol-like odor, exhibits interesting properties. The strong antibiotic activity of its extract is due to 4-diazo-2,5-cyclohexadien-1-one 1; the yellow coloration of bruised fungi is caused by the diazamerocyanin 2 and by a p-hydroxyphenylazo derivative of glutamic acid.
Evaluating visualizations: do expert reviews work? (2005)

Visualization research generates beautiful images and impressive interactive systems. Emphasis on evaluating visualizations is growing. Researchers have successfully used alternative evaluation techniques in human-computer interaction (HCI), including focus groups, field studies, and expert reviews. These methods tend to produce qualitative results and require fewer participants than controlled experiments. In this article, we focus on expert reviews that we used for the applications. We commonly use expert reviews to assess interface usability. Expert reviews can generate valuable feedback on visualization tools. We recommend i) including experts with experience in data display as well as usability, and ii) developing heuristics based on visualization guidelines as well as usability guidelines. Expert reviews should not be used exclusively, since experts might not hilly predict end-user actions. Furthermore, we encourage more experimentation with this technique, particularly to develop a good set of visualization heuristics and to compare it with other methods.
Synthesis of Benzo[c]selenophene and Derivatives via New Routes. (2003)

Abstract For Abstract see ChemInform Abstract in Full Text.
Ki‐67 expression level, histological subtype, and the International Prognostic Index as outcome predictors in mantle cell lymphoma (2002)

The IPI may not be an optimal tool for outcome prediction in MCL, and a better prognostic index may be obtained by including Ki-67 expression and possibly the histological subtype in the index.
Quantitation of reversible binding by particle counting: hapten-antibody interaction as a model system. (1992)

With a view toward developing a general method for measuring intrinsic equilibrium constants for the reversible interactions between two ligands, we used an antibody-hapten model system [2,4-dinitrophenyl (DNP) hapten and anti-DNP antibody] to explore an approach based on particle counting of uniform polystyrene spheres to which the hapten is coupled covalently. This approach was made possible by an optical pulse particle size analyzer that accurately counts individual sphere clusters and quantitates with high precision specific aggregation of spheres crosslinked by antibody. The reduction in crosslinking that results from competition for antibody binding sites between a soluble DNP ligand and immobilized DNP groups on the spheres provides the basis for measuring the intrinsic equilibrium constant for the soluble ligand-antibody interaction. The binding constants measured in this way for several DNP ligands and an anti-DNP antibody (2A1) agreed with the values obtained by conventional methods. The range of intrinsic equilibrium constants that can be determined by particle counting is likely to be exceptionally wide and a value as low as 10(3) liters/mol has been measured. And since all soluble antigens, regardless of their mass, acquire the same ability to scatter light as a result of their immobilization on the much larger uniform spheres (0.36 microns), the approach described here should be applicable to virtually any molecularly dispersed antigen and its monoclonal antibody.
Effect of Growth Factors on the Proliferation and Gene Expression of Human Meibomian Gland Epithelial Cells (2013)

Our results demonstrate that EGF and BPE stimulate human meibomian gland epithelial cells to proliferate. Further, our findings show that action is associated with an upregulation of cell cycle and translation ontologies, and a downregulation of genetic pathways linked to differentiation and lipid biosynthesis.
4D simultaneous tissue and blood flow Doppler imaging: revisiting cardiac Doppler index with single heart beat 4D ultrafast echocardiography (2019)

The goal of this study was to demonstrate the feasibility of semi-automatic evaluation of cardiac Doppler indices in a single heartbeat in human hearts by performing 4D ultrafast echocardiography with a dedicated sequence of 4D simultaneous tissue and blood flow Doppler imaging. 4D echocardiography has the potential to improve the quantification of major cardiac indices by providing more reproducible and less user dependent measurements such as the quantification of left ventricle (LV) volume. The evaluation of Doppler indices, however, did not benefit yet from 4D echocardiography because of limited volume rates achieved in conventional volumetric color Doppler imaging but also because spectral Doppler estimation is still restricted to a single location. High volume rate (5200 volume s<sup>-1</sup>) transthoracic simultaneous tissue and blood flow Doppler acquisitions of three human LV were performed using a 4D ultrafast echocardiography scanner prototype during a single heartbeat. 4D color flow, 4D tissue Doppler cineloops and spectral Doppler at each voxel were computed. LV outflow tract, mitral inflow and basal inferoseptal locations were automatically detected. Doppler indices were derived at these locations and were compared against clinical 2D echocardiography. Blood flow Doppler indices E (early filling), A (atrial filling), E/A ratio, S (systolic ejection) and cardiac output were assessed on the three volunteers. Simultaneous tissue Doppler indices e' (mitral annular velocity peak), a' (late velocity peak), e'/a' ratio, s' (systolic annular velocity peak), E/e' ratio were also estimated. Standard deviations on three independent acquisitions were averaged over the indices and was found to be inferior to 4% and 8.5% for Doppler flow and tissue Doppler indices, respectively. Comparison against clinical 2D echocardiography gave a p value larger than 0.05 in average indicating no significant differences. 4D ultrafast echocardiography can quantify the major cardiac Doppler indices in a single heart beat acquisition.
Frequency Agile Microstrip Patch Antenna Using an Anisotropic Artificial Dielectric Layer (AADL): Modeling and Design (2019)

This paper presents the modeling and design of a frequency agile antenna using an anisotropic artificial dielectric layer (AADL) for multi-band phased array radar applications. The proposed AADL material is placed underneath the patch radiator and is designed using periodically arranged metallic cylinders in which varying height, diameter, and the distance used between them allows the control of the effective permittivity of the patch antenna. Closed form design expressions are formulated to synthesize the dielectric properties of the AADL as a function of the cylindrical unit cell dimensions. Design trade-offs based on the proposed formulation and numerical simulations show the overall performance of the AADL on microstrip patch (MS) antennas. To validate the proposed concept, five individual AADL MS patch antennas in C-band were designed, fabricated, and tested. Simulated and measured results (s-parameters and radiation patterns) are in good agreement with the results obtained from the theoretical model. The proposed AADL concept has the potential to be used in the development of future reconfigurable tunable multiband antennas that use liquid metal to dynamically change the heights of the cylinders.
Homogeneous double-layer amorphous Si-doped indium oxide thin-film transistors for control of turn-on voltage (2016)

We fabricated homogeneous double-layer amorphous Si-doped indium oxide (ISO) thin-film transistors (TFTs) with an insulating ISO cap layer on top of a semiconducting ISO bottom channel layer. The homogeneously stacked ISO TFT exhibited high mobility (19.6 cm2/V s) and normally-off characteristics after annealing in air. It exhibited normally-off characteristics because the ISO insulator suppressed oxygen desorption, which suppressed the formation of oxygen vacancies (VO) in the semiconducting ISO. Furthermore, we investigated the recovery of the double-layer ISO TFT, after a large negative shift in turn-on voltage caused by hydrogen annealing, by treating it with annealing in ozone. The recovery in turn-on voltage indicates that the dense VO in the semiconducting ISO can be partially filled through the insulator ISO. Controlling molecule penetration in the homogeneous double layer is useful for adjusting the properties of TFTs in advanced oxide electronics.
Demo (2015)

Developing analytical applications for IoT based on sensor signal processing tends to be complicated as applications are executed as sequence of steps comprising of multiple alternative algorithms, including suitable feature extraction modules depending on the goal of the application. Experience shows that developers spend considerable time and effort in performing feature extraction and dimensionality reduction. In this paper we propose a framework based on a relevant case study which allows developers to drag and drop algorithms to create a workflow chain, automatically select the most relevant signal features for the particular analytic application using a training data set to generate a model and deploy the model for use. The method reduces the effort and cost of development which is deemed highly important for the analytics industry.
Applications of Orthogonal Arrays to Computer Science (2006)

Abstract. Orthogonal arrays (OAs) are basic combinatorial structures, originally studied by statisticians motivated by their applications to design of experiments. In recent years, they have found numerous applications in com-puter science. Among their applications are derandomization of algorithms, random pattern testing of VLSI chips, authentication codes, universal hash functions, threshold schemes, and perfect local randomizers. In this article, we survey the applications of orthogonal arrays to computer science.