gebhart/patrepeval huggingface dataset:
Structure-oriented Gaussian filter for seismic detail preserving smoothing (2009)

This paper presents a structure-oriented Gaussian (SOG) filter for reducing noise in 3D reflection seismic data while preserving relevant details such as structural and stratigraphic discontinuities and lateral heterogeneity. The Gaussian kernel is anisotropically constructed based on two confidence measures, both of which take into account the regularity of the local seismic structures. So that, the filter shape is well adjusted according to different local geological features. Then, the anisotropic Gaussian is steered by local orientations of the geological features (layers) provided by the Gradient Structure Tensor. The potential of our approach is presented through a comparative experiment with seismic fault preserving diffusion (SFPD) filter on synthetic blocks and an application to real 3D seismic data.
Picosecond Micromachining Update (2008)

Abstract Many industries currently use lasers for drilling, cutting, scribing and contouring materials as diverse as silicon, metals and plastics, with features as small as a few tens of microns. Traditionally, this precision micromachining has been powered by DPSS (diode pumped solid state) or excimer lasers with nanosecond pulse durations, but there is a growing need for even higher precision and resolution. While shorter pulsewidths can yield higher resolution, superior edge quality, and eliminate peripheral thermal effects, drawbacks in existing ultrafast laser technology have limited its use to a few specialty applications. In this article we describe a new type of laser that delivers picosecond output, and combines the simplicity of a fiber laser with the high pulse energy characteristics of a freespace laser. We then discuss applications that can benefit from the unique output, including microelectronics and photovoltaic manufacturing.
Factor structure of the Depression Anxiety Stress Scales in individuals with traumatic brain injury (2013)

These results indicate that it may be preferable to use the full DASS, rather than the DASS21, with individuals with TBI.
Potentiation of Cardiac Vagal action by Cold (1985)

1. The effect of cold on vagal action at the heart was studied in sheep, dogs and an isolated guinea pig atrial preparation. 2. During cardiac output measurements in un-anaesthetized sheep, by the thermodilution method, bradycardia was evoked on injection of cold indicator in eight of 12 sheep studied. This bradycardia was consistently evoked when blood pressure was increased, but not at normal blood pressure levels. 3. In the guinea pig atrial preparation, which has one vagus nerve attached, bradycardia was evoked by electrical stimulation of the vagus nerve. When the preparation was cooled this bradycardia was potentiated. 4. In anaesthetized dogs, the cut peripheral end of one vagus was stimulated electrically at different frequencies. The linear relationship between pulse interval and vagal frequency was then compared at deep body temperatures of 35, 37, 39 and 41°C. This comparison showed that the vagus prolonged pulse interval more effectively when the animal was cool (35°C) than when it was warm (41°C).
Parallel Tensor Compression for Large-Scale Scientific Data (2016)

As parallel computing trends towards the exascale, scientific data produced by high-fidelity simulations are growing increasingly massive. For instance, a simulation on a three-dimensional spatial grid with 512 points per dimension that tracks 64 variables per grid point for 128 time steps yields 8 TB of data, assuming double precision. By viewing the data as a dense five-way tensor, we can compute a Tucker decomposition to find inherent low-dimensional multilinear structure, achieving compression ratios of up to 5000 on real-world data sets with negligible loss in accuracy. So that we can operate on such massive data, we present the first-ever distributed-memory parallel implementation for the Tucker decomposition, whose key computations correspond to parallel linear algebra operations, albeit with nonstandard data layouts. Our approach specifies a data distribution for tensors that avoids any tensor data redistribution, either locally or in parallel. We provide accompanying analysis of the computation and communication costs of the algorithms. To demonstrate the compression and accuracy of the method, we apply our approach to real-world data sets from combustion science simulations. We also provide detailed performance results, including parallel performance in both weak and strong scaling experiments.
Optical Properties of Direct Restorative Materials (1981)

The contrast ratio, light reflectivity, scattering coefficient, and absorption coefficient of four composites and an unfilled resin were calculated algebraically from reflection spectrophotometric data using Kubelka's equations. The correlation coefficient between calculated and experimental values of contrast ratio was 0.9996. Values of infinite optical thickness ranged from 4.19 to 6.70 mm.
An adaptive cluster algorithm for a self-organizing communication network (2003)

The authors propose an adaptive clustering algorithm for use in a self-organizing communication network. It can automatically create cluster heads and form clusters, and it can adapt the topological change of the network and reform the cluster heads and clusters. The total number of cluster heads is minimized and all of them are connected. By using this algorithm, a connected backbone network is obtained.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
A DIY Collection (2006)

The article discusses the collection of zines which the Barnard College library has been accumulating since 2003. The author describes how the proposal to collect zines was written and sold to the college's administration. Tips on how to acquire and organize a library zine collection are offered. Payment options, distributors, cataloging, and preservation are also examined.
Sensors of Smart Devices in the Internet of Everything (IoE) Era: Big Opportunities and Massive Doubts (2019)

Smart device industry allows developers and designers to embed different sensors, processors, and memories in small-size electronic devices. Sensors are added to enhance the usability of these devices and improve the quality of experience through data collection and analysis. However, with the era of big data and machine learning, sensors’ data may be processed by different techniques to infer various hidden information. The extracted information may be beneficial to device users, developers, and designers to enhance the management, operation, and development of these devices. However, the extracted information may be used to compromise the security and the privacy of humans in the era of Internet of Everything (IoE). In this work, we attempt to review the process of inferring meaningful data from smart devices’ sensors, especially, smartphones. In addition, different useful machine learning applications based on smartphones’ sensors data are shown. Moreover, different side channel attacks utilizing the same sensors and the same machine learning algorithms are overviewed.
Improving outcomes for high‐risk ALL: Translating new discoveries into clinical care (2011)

High-risk (HR) acute lymphoblastic leukemia (ALL) remains one of the greatest challenges in pediatric oncology. Relapsed ALL is a leading cause of death in young people, and further improvements in outcome will required the development of therapeutic approaches directed against rational therapeutic targets, as escalation of the intensity of existing therapies is limited by toxicity. This review summarizes advances in the biology and treatment of HR and relapsed ALL presented at a symposium at the 2010 American Society for Pediatric Hematology and Oncology Annual Meeting. Analysis of large patient cohorts has identified several factors associated with HR of relapse including older age, T-lineage disease, and persisting minimal residual disease (MRD) early in therapy. As the results of salvage therapy remain poor, new treatment approaches are needed. BCR-ABL1-positive (Ph+) ALL has historically had a very poor outcome, but recent studies have demonstrated the impressive improvements in treatment outcome with the use of tyrosine kinase inhibitors (TKIs). High-resolution genomic profiling of genetic alterations and gene expression has revolutionized our understanding of the genetic basis of ALL, and has identified several alterations associated with poor outcome, including mutations of the lymphoid transcription factor gene IKZF1 (IKAROS), activating mutations of Janus kinases, and rearrangement of the lymphoid cytokine receptor gene CRLF2. These data indicated that the genetic basis of HR-ALL is multifactorial, and have also provided a new potential therapeutic option directed at JAK inhibition.
Common Responses of Tumors and Wounds to Hypoxia (2015)

Hypoxia is a characteristic of tumors and wounds. Hypoxic cells develop 2 common strategies to face hypoxia: the glycolytic switch and the angiogenic switch. At the onset of hypoxia, alleviation of the Pasteur effect ensures short-term cell survival. Long-term hypoxic cell survival requires a further acceleration of the glycolytic flux under the control of hypoxia-inducible factor 1 that stimulates the expression of most glycolytic transporters and enzymes, uncouples glycolysis from the TCA cycle, and rewires glycolysis to lactic fermentation. Hypoxic cells also trigger angiogenesis, a process that aims to restore normal microenvironmental conditions. Transcription factors (hypoxia-inducible factor 1, nuclear factor κB, activator protein 1) and lactate cooperate to stimulate the expression of proangiogenic agents. Cancer cells differ from normal hypoxic cells by their proliferative agenda and by a high metabolic heterogeneity. These effects in tumor account for further molecular and metabolic changes and for a persistent stimulation of angiogenesis.
The role of security in human-robot shared environments: A case study in ROS-based surveillance robots (2017)

With the growing proliferation of robots in our society comes the natural concern of security. However, this is an often overlooked issue in robotic systems, as the focus is commonly placed in robot functionality and innovation. Unauthorized access to a robot, or a multi-robot network, may seriously compromise the system, potentially leading to unacceptable consequences, such as putting in danger humans that share the environment with the robot(s). In this paper, a deeper look is taken into the security issue in human-robot shared environments by surveying existing work and analyzing security issues in the widely used Robot Operation System (ROS), discussing the different layers of security in a robotic network architecture, and proposing several hierarchical security mechanisms, using the STOP project case study in surveillance robotics.
High speed silicon optical modulator with self aligned fabrication process (2010)

With the imminent commercialisation of silicon photonic devices comes the requirement for a fabrication process capable of high yield and device performance repeatability. The precise alignment of the different elements of a device can be a major fabrication challenge for minimising performance variation or even device failure. In this paper a new design of high speed carrier depletion silicon optical modulator is introduced which features the use of a self-aligned fabrication process to form the pn junction. Experimental results are presented from an initial fabrication run, which has demonstrated a 6 dB modulation depth at 10 Gbit/s from a 3.5 m long device.
ChemInform Abstract: Layered Magnetic Structures: Interlayer Exchange Coupling and Giant magnetoresistance (1995)

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.
Rough Set Model for Constraint-based Multi-dimensional Association Rule Mining (2006)

This paper presents a rough set model for constraint-based multi-dimensional association rule mining. It first overviews the progress in constraint-based multi-dimensional association rule mining. It then applies the constraints on the rough set model. To set up a decision table, it adopts the user voting and the thresholds on condition granules and decision granules. Finally it employs the extended random sets to generate interesting rules. It shows that this rough set model will effectively improve the quality of association rule mining by reducing the attributes greatly in the vertical direction and clustering the records clearly in the horizontal direction. To describe the association among the attributes, it constructs an ontology and presents a new concept of an association table. The construction of a tuple in an association table indicates the relationship among different levels on the ontology towards decision support.
Ph<sub>2</sub>N-Susbtituted Ethylene-Bridged <i>p</i>-Phenylene Oligomers: Synthesis and Photophysical and Redox Properties (2011)

For a series of p-phenylene-based oligomers terminated with two triphenylamines, their absorption, photoluminescence, and band gaps show a pattern of extensive π-conjugation with increasing array size. Oligomers with large central arrays have greater quantum yields than their small analogues. Cyclic voltammetric (CV) measurements indicated two-step oxidations of the two diphenylamino groups for compounds 1-5 and one-step oxidations for the two amines of large oligomers 6 and 7.
Auto-Scaling Model for Cloud Computing System (2012)

Recently, Cloud Computing introduces some new concepts that entirely change the way applications are built and deployed. Usually, Cloud systems rely on virtualization techniques to allocate computing resources on demand. Thus, scalability is a critical issue to the success of enterprises involved in doing business on the cloud. In this paper, we will describe the novel virtual cluster architecture for dynamic scaling of cloud applications in a virtualized Cloud Computing environment. An auto-scaling algorithm for automated provisioning and balancing of virtual machine resources based on active application sessions will be introduced. Also, the energy cost is considered in the proposed algorithm. Our work has demonstrated the proposed algorithm is capable of handling sudden load requirements, maintaining higher resource utilization and reducing energy cost.
Knowledge-based mold design for injection molding processing (2002)

The current status of the knowledge-based system which is the most promising and desirable enhancement to computer-aided-design technology is reviewed. An approach to incorporating a knowledge-based system into a computer-aided-design system for the design of an injection molded part is proposed. To demonstrate the procedure involved and the information revealed, a Prolog knowledge-based system is applied to designing new molds for the injection molding of plastic balls. Two new mold designs are proposed. The associated computer-aided-design system is described in some detail. Areas in which further work is needed are identified.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Amperometric Immunosensors Based on Rigid Conducting Immunocomposites (1997)

Novel polishable immunosensors based on rigid biocomposite materials have been constructed. These biocomposites contain graphite powder, rabbit IgG, and methacrylate or epoxy resins. This material acts as a reservoir for the biological molecules and as a transducer at the same time. In order to study the potential analytical properties of this new type of material, a competitive binding assay was developed to determine the RIgG present in a sample with the aid of goat anti-rabbit IgG labeled with alkaline phosphatase. Using phenyl phosphate as a substrate, the phenol produced by the enzymatic reaction was amperometrically detected at 800 mV (vs Ag/AgC1). The surface of the immunosensor can be regenerated by simply polishing, obtaining fresh immunocomposite ready to be used in a new competitive assay.
Cover Image, Volume 11, Issue 5 (2017)

The cover image, by Liang Dong et al., is based on the Research Article Wnt1a maintains characteristics of dermal papilla cells that induce mouse hair regeneration in a 3D preculture system, DOI: 10.1002/term.2046.
Androgen receptor phosphorylation, turnover, nuclear transport, and transcriptional activation. Specificity for steroids and antihormones. (1992)

Nuclear transport, phosphorylation, ligand binding, and degradation rate of the recombinant androgen receptor (AR) were analyzed in transfected COS cells in the presence of various steroids and antiandrogens.Transcriptional activition was assessed in CV1 cells by cotransfection with an androgen-responsive chloramphenicol acetyltransferase (CAT) reporter vector.Hormone binding specificity of recombinant AR was essentially identical to endogenous AR. AR localized in the nucleus in the presence of methyltrienolone (R1881, a synthetic androgen), dihydrotestosterone, testosterone, hydroxyflutamide, cyproterone acetate, estradiol, progesterone, and RU486.In the absence of hormone or with the antiandrogen, flutamide, AR remained largely in the cytoplasm with a perinuclear distribution.AR was degraded rapidly (tllz = 1 h) except in the presence of androgen (tllz = 6 h) which accounted for an apparent 2-4-fold androgen-induced increase in AR phosphorylation, indicating that AR phosphorylation was not enhanced by androgen.CAT activity was stimulated by R1881, dihydrotestosterone, testosterone, cyproterone acetate, estradiol, progesterone, and RU486 in a dose-dependent manner.The antiandrogens, flutamide and hydroxyflutamide, lacked agonist activity and inhibited R1881-induced activation of CAT and androgen stabilization of AR.Steroids and antiandrogens with moderate to low affinity for AR promoted both nuclear transport and transcriptional activation but only at high hormone concentrations.Hydroxyflutamide acted as a true antiandrogen since it lacked agonist activity and was an inhibitor of androgen-induced transcriptional activation.The biological effects of androgens can be inhibited by androgen antagonists known as antiandrogens.On the basis of structure, antiandrogens are subdivided into two groups, steroidal and nonsteroidal, both of which can inhibit agonist
DO EVOLUCIONISMO CLÁSSICO AO PARTICULARISMO HISTÓRICO NA ANTROPOLOGIA: PRINCIPAIS IDEIAS (2014)

O presente ensaio visa apresentar sucintamente principais ideias e relações entre o pensamento evolucionista cultural clássico do século XIX e a escola do particularismo histórico proposto por Franz Boas no início do século XX a partir dos livros “Evolucionismo Cultural: textos de Morgan, Tylor e Frazer” (2005) e “Franz Boas – Antropologia Cultural” (2004) de Celso Castro. Tais perspectivas marcaram o início da antropologia enquanto ciência humana capaz de compreender o homem e sua cultura.
In-Session Personalization for Talent Search (2018)

Previous efforts in recommendation of candidates for talent search followed the general pattern of receiving an initial search criteria and generating a set of candidates utilizing a pre-trained model. Traditionally, the generated recommendations are final, that is, the list of potential candidates is not modified unless the user explicitly changes his/her search criteria. In this paper, we are proposing a candidate recommendation model which takes into account the immediate feedback of the user, and updates the candidate recommendations at each step. This setting also allows for very uninformative initial search queries, since we pinpoint the user's intent due to the feedback during the search session. To achieve our goal, we employ an intent clustering method based on topic modeling which separates the candidate space into meaningful, possibly overlapping, subsets (which we call intent clusters) for each position. On top of the candidate segments, we apply a multi-armed bandit approach to choose which intent cluster is more appropriate for the current session. We also present an online learning scheme which updates the intent clusters within the session, due to user feedback, to achieve further personalization. Our offline experiments as well as the results from the online deployment of our solution demonstrate the benefits of our proposed methodology.
Role of Sulfonylurea Receptor Type 1 Subunits of ATP-Sensitive Potassium Channels in Myocardial Ischemia/Reperfusion Injury (2008)

SUR1 subunits have a high sensitivity toward many sulfonylureas and certain K(ATP) channel-opening drugs. Their potential role during ischemic events should therefore be considered both in the interpretation of experimental data with pharmacological agents and in the clinical arena when the cardiovascular outcome of patients treated with antidiabetic sulfonylureas is being considered.
Efficient analysis of a small number of cancer cells at the single-cell level using an electroactive double-well array (2016)

Analysis of the intracellular materials of a small number of cancer cells at the single-cell level is important to improve our understanding of cellular heterogeneity in rare cells. To analyze an extremely small number of cancer cells (less than hundreds of cells), an efficient system is required in order to analyze target cells with minimal sample loss. Here, we present a novel approach utilizing an advanced electroactive double-well array (EdWA) for on-chip analysis of a small number of cancer cells at the single-cell level with minimal loss of target cells. The EdWA consisted of cell-sized trap-wells for deterministic single-cell trapping using dielectrophoresis and high aspect ratio reaction-wells for confining the cell lysates extracted by lysing trapped single cells via electroporation. We demonstrated a highly efficient single-cell arraying (a cell capture efficiency of 96 ± 3%) by trapping diluted human prostate cancer cells (PC3 cells). On-chip single-cell analysis was performed by measuring the intracellular β-galactosidase (β-gal) activity after lysing the trapped single cells inside a tightly enclosed EdWA in the presence of a fluorogenic enzyme substrate. The PC3 cells showed large cell-to-cell variations in β-gal activity although they were cultured under the same conditions in a culture dish. This simple and effective system has great potential for high throughput single-cell analysis of rare cells.