gebhart/patrepeval huggingface dataset:
A Self-Stabilizing Leader Election Algorithm in Highly Dynamic Ad Hoc Mobile Networks (2008)

The classical definition of a self-stabilizing algorithm assumes generally that there are no faults in the system long enough for the algorithm to stabilize. Such an assumption cannot be applied to ad hoc mobile networks characterized by their highly dynamic topology. In this paper, we propose a self-stabilizing leader election algorithm that can tolerate multiple concurrent topological changes. By introducing the time-interval-based computation concept, the algorithm ensures that a network partition can within a finite time converge to a legitimate state even if topological changes occur during the convergence time. Our simulation results show that our algorithm can ensure that each node has a leader over 99 percent of the time. We also give an upper bound on the frequency at which network components merge to guarantee the convergence.
Non-ionic Template Synthesis of Amide-linked Rotaxanes: Axles with Benzophenone and Cinnamic Acid Units (1998)

mechanical bond - molecular recognition - phenyl hydrazone - supramolecular chemistry - template synthesis
The loss of NKX3.1 expression in testicular--and prostate--cancers is not caused by promoter hypermethylation. (2005)

Down-regulation of NKX3.1 expression was generally not caused by promoter hypermethylation, which was only found in one TGCT. However, other epigenetic mechanisms, such as modulation of chromatin structure or modifications of histones, may explain the lack of NKX3.1 expression, which is seen in most TGCTs and prostate cancer specimens.
Surface Electronic Structure of Si (111)-(7×7) Resolved in Real Space (1986)

We have obtained the first energy-resolved real-space images of the filled and empty surface states of the Si(111)-(7\ifmmode\times\else\texttimes\fi{}7) surface, with 3-\ensuremath{'}A lateral resolution. This ability to resolve spatially these surface states with a scanning tunneling microscope depends upon a new method to acquire and separate geometric and electronic information. Our results not only are in good agreement with previous spectroscopic studies but also directly reveal the atomic location and geometric origin of the Si(111)-(7\ifmmode\times\else\texttimes\fi{}7) surface states.
Word Hy-phen-a-tion by Com-put-er (1983)

This thesis describes research leading to an improved word hyphenation algo-rithm for the TjrjX82 typesetting system. Hyphenation is viewed primarily as a data compression problem, where we are given a dictionary of words with allowable divi-sion points, and try to devise methods that take advantage of the large amount of redundancy present. The new hyphenation algorithm is based on the idea of hyphenating and in-hibiting patterns. These are simply strings of letters that, when they match hi a word, give us information about hyphenation at some point in the pattern. For example, &apos;-tion &apos; and *c-c &apos; are good hyphenating patterns. An important feature of this method is that a suitable set of patterns can be extracted automatical! / from the dictionary. In order to represent the set of patterns in a compart form that is also reasonably efficient for searching, the author has developed a new data structure called a packed trie. This data structure allows the very fast search times characteristic of indexed tries, but in many cases it entirely eliminates the wasted space for null links usually present in such tries. We demonstrate the versatility and practical advantages of this data structure by using a variant of it as the critical component of the program that generates the patterns from the dictionary. The resulting hyphenation algorithm uses about 4500 patterns that compile into a packed trie occupying 25K bytes of storage. These patterns find 89 % of the hyphens in a pocket dictionary word list, with essentially no error. By comparison, the uncompressed dictionary occupies over 500K bytes.
MetaGAN: an adversarial approach to few-shot learning (2018)

In this paper, we propose a conceptually simple and general framework called MetaGAN for few-shot learning problems. Most state-of-the-art few-shot classification models can be integrated with MetaGAN in a principled and straightforward way. By introducing an adversarial generator conditioned on tasks, we augment vanilla few-shot classification models with the ability to discriminate between real and fake data. We argue that this GAN-based approach can help few-shot classifiers to learn sharper decision boundary, which could generalize better. We show that with our MetaGAN framework, we can extend supervised few-shot learning models to naturally cope with unlabeled data. Different from previous work in semi-supervised few-shot learning, our algorithms can deal with semi-supervision at both sample-level and task-level. We give theoretical justifications of the strength of MetaGAN, and validate the effectiveness of MetaGAN on challenging few-shot image classification benchmarks.
Uncatalyzed Hydrogen Transfer during 100–250 °C Conversion of Asphaltenes (2017)

The reactivity and reactions of asphaltenes were explored over the temperature range 100–250 °C following reports of reactivity and meaningful free radical content in asphaltenes. This study employed industrial pentane precipitated asphaltenes from Athabasca oilsands bitumen. The presence of free radicals in the asphaltenes feed was confirmed. On heating the asphaltenes to 150 °C, the aromatic hydrogen content increased relative to the feed by a factor 1.12. It was also found that on heating the asphaltenes to 150 °C the n-heptane insoluble fraction increased from 67% to 75%. Almost no gas phase products were produced. The observed changes were ascribed to hydrogen transfer reactions and addition products formed by combination reactions. Direct evidence of hydrogen transfer reactions taking place in the asphaltenes was obtained through the use of the model systems, α-methylstyrene and cumene, as well as anthracene and 9,10-dihydroanthracene. The extent of hydrogen transfer was of the order 1.8 mg H/g asphaltenes in 1 h at 250 °C. Asphaltenes also caused dimerization of model compounds, providing indirect evidence that free radical combination reactions took place in the asphaltenes. Interpretation relying on thermodynamic arguments combined with experimental results indicated that at 250 °C the reactive species in asphaltenes were incapable of abstracting hydrogen by hydrogen transfer that had bond strengths (based on homolytic bond dissociation energy) exceeding around 353 kJ mol–1. Using similar arguments, it was deduced that the ratio of reactive species in asphaltenes capable of abstracting hydrogen with bond strengths in the range around 315–353 kJ mol–1, compared to transferable hydrogen in asphaltenes with a bond strength less than 315 kJ mol–1 was about 2:1.
Iodine(V) Reagents in Organic Synthesis. Part 3. New Routes to Heterocyclic Compounds via <i>o</i>-Iodoxybenzoic Acid-Mediated Cyclizations:  Generality, Scope, and Mechanism (2002)

The discovery and development of the o-iodoxybenzoic acid (IBX) reaction with certain unsaturated N-aryl amides (anilides) to form heterocycles are described. The application of the method to the synthesis of delta-lactams, cyclic urethanes, hydroxy amines, and amino sugars among other important building blocks and intermediates is detailed. In addition to the generality and scope of this cyclization reaction, this article describes a number of mechanistic investigations suggesting a single electron transfer from the anilide functionality to IBX and implicating a radical-based mechanism for the reaction.
Hyperdynamic performance of remote myocardium in acute infarction (1995)

During and after myocardial infarction (MI), compensatory contractile and structural changes taking place in the remote uninvolved myocardial regions have been well described, in both experimental and clinical settings. However, quantitative information on the changes in perfusion in these regions in relation to their altered contractile function have not been available. This study was designed to assess the in vivo relationship between contractile function and perfusion in remote uninvolved hypercontractile myocardial regions, subtended by angiographically normal coronary arteries in patients with MI and single-vessel coronary artery disease. We utilized two-dimensional echocardiography and 15O-water positron emission tomography imaging to assess regional contractile function and myocardial blood flow, respectively. Measurements were performed in nine patients with single-vessel coronary artery disease and angiographically confirmed recanalization of the infarct-related artery, 1-2 days after MI (group A). Only patients demonstrating severely impaired wall motion of the infarcted area and reactive hypercontractility of the remote uninvolved regions were enrolled. Seven patients with previous non-reperfused MI (6-8 months post-MI) served as a control (group B). Systolic wall thickening and regional myocardial blood flow data sets were created for the remote myocardial segments perfused by angiographically detected patent coronary arteries by assigning regions on the tomograms to equivalent echocardiographic segments. In the remote regions, wall thickening and regional myocardial blood flow were higher in group A patients by 26% (43 +/- 6% vs 34 +/- 4%; P = 0.005) and 20% (1.06 +/- 0.15 vs 0.89 +/- 0.06 ml.g-1 per minute; P = 0.019), respectively. For both groups of patients, a significant correlation (r = 0.67; P = 0.004) between systolic wall thickening and regional myocardial blood flow was obtained. Infarcted regions in both groups showed no systolic wall thickening. In this selected group of patients these data demonstrate: (1) a proportionate increase in contractility and regional myocardial blood flow in uninvolved territories in patients with recent and old MI; (2) the in vivo relationship between contractile function and myocardial perfusion in man in these regions. When infarcted zones in both groups are equally affected, enhanced levels of catecholamines and sympathetic drive as well as different loading conditions may account for the hyperkinetic performance and consequently for the increased perfusion level in uninvolved segments in patients with recent MI.
Conductance eigenchannels in nanocontacts (1997)

The electronic conductance of metal nanocontacts is analyzed in terms of eigenchannels for the transmission. The transmission through individual eigenchannels is calculated numerically for realistic models of gold point contacts based on molecular-dynamics simulation of the elongation of a contact. The conductance as a function of contact elongation exhibits a step structure. For the smallest contact areas of one or a few atom diameters, the conductance is typically quantized, and a specific number of almost open eigenchannels can be ascribed. For larger contact areas the scattering leads to partly open channels, but plateaus in the conductance can still be present. We also show that the finite stiffness of the experimental setup can significantly affect the step structure of the conductance curves.
Conduction Remodeling in Human End-Stage Nonischemic Left Ventricular Cardiomyopathy (2012)

Conduction disorder resulting from the anisotropic downregulation of Cx43 expression, the reduction of Cx43 phosphorylation, and increased fibrosis is likely to be a critical component of arrhythmogenic substrate in patients with nonischemic cardiomyopathy.
Alterations in the hypothalamic paraventricular nucleus and its oxytocin neurons (putative satiety cells) in Prader-Willi syndrome: a study of five cases. (1995)

Animal experiments have shown that the parvocellular oxytocin (OXT) neurons of the hypothalamic paraventricular nucleus (PVN) inhibit food intake. In the present study, the PVN and its OXT neurons have been investigated in an extreme human eating disorder, i.e. the Prader-Willi syndrome (PWS). PWS patients are characterized by gross obesity, insatiable hunger, hypotonia, hypogonadism, and mental retardation. The PVN of 5 PWS patients (2 males and 3 females), varying in age between 22-64 yr, and 27 controls (14 males and 13 females) without any primary neurological or psychiatric diseases was morphometrically investigated after conventional staining with thionine and immunocytochemical staining for OXT and vasopressin (AVP). The thionine-stained volume of the PVN was 28% smaller in PWS patients (P = 0.028), and the total cell number was 38% lower (P = 0.009). The immunoreactivity for OXT and AVP was decreased in PWS patients, although the variability within the groups was high. A strong and highly significant decrease (42%; P = 0.016) was found in the number of OXT-expressing neurons of the PWS patients. The volume of the PVN-containing OXT-expressing neurons decreased by 54% (P = 0.028) in PWS. The number of AVP-expressing neurons in the PVN did not change significantly. The OXT neurons of the PVN seem to be good candidates for playing a physiological role in ingestive behavior as "satiety neurons" in the human hypothalamus.
Bleed air oil contamination particulate characterization (2015)

Gas turbine engine oil is contaminating the bleed air of an aircraft with enough frequency and intensity that health concerns are of public interest.While previous work measured micro particles and used only a simulator, this work mainly consists of measurements in the nanoparticle and ultrafine range using both the simulator and two different gas turbine engines.No previous research has been conducted using working jet engines to simulate a bleed air system and characterize the oil particulate contamination.Oil was injected into a bleed air simulator and an Allison 250 CC18 turbine engine in order to observe the particle size distributions resulting from thermal degradation and was measured with three particle sizing counters and an FTIR.The aerosol size distributions are given for various temperature and
From Cajal to Connectome and Beyond (2016)

One goal of systems neuroscience is a structure-function model of nervous system organization that would allow mechanistic linking of mind, brain, and behavior. A necessary but not sufficient foundation is a connectome, a complete matrix of structural connections between the nodes of a nervous system. Connections between two nodes can be described at four nested levels of analysis: macroconnections between gray matter regions, mesoconnections between neuron types, microconnections between individual neurons, and nanoconnections at synapses. A long history of attempts to understand how the brain operates as a system began at the macrolevel in the fifth century, was revolutionized at the meso- and microlevels by Cajal and others in the late nineteenth century, and reached the nanolevel in the mid-twentieth century with the advent of electron microscopy. The greatest challenge today is extracting knowledge and understanding of nervous system structure-function architecture from vast amounts of data.
Efficient Broadband Triplet–Triplet Annihilation‐Assisted Photon Upconversion at Subsolar Irradiance in Fully Organic Systems (2015)

The latest trend in solar cell technology is to develop photon managing processes that adapt the solar emission to the spectral range at which the devices show the largest intrinsic efficiency. Triplet–triplet annihilation‐assisted photon upconversion (sTTA‐UC) is currently the most promising process to blue‐shift sub‐bandgap photons at solar irradiance, even if the narrow absorption band of the employed chromophores limits its application. In this work, we demonstrate how to obtain broadband sTTA‐UC at sub‐solar irradiance, by enhancing the system's light‐harvesting ability by way of an ad‐hoc synthesized family of chromophores with complementary absorption properties. The overall absorptance is boosted, thus doubling the number of upconverted photons and significantly reducing the irradiance required to achieve the maximum upconversion yield. An outstanding yield of ≈10% is obtained under broadband air mass (AM) 1.5 conditions, which allows a DSSC device to operate by exploiting exclusively sub‐bandgap photons.
High-Performance Reconfigurable Si Nanowire Field-Effect Transistor Based on Simplified Device Design (2016)

Reconfigurable field-effect transistors (RFETs) are of interest as devices for dynamically switching between n- and p-type polarity which enables different logic computations using the same hardware. So far, RFETs have been realized with one or even two additional program gates for accomplishing reconfigurability. This paper presents an RFET design with just one single-gate on a silicon nanowire channel. Based on measured and device simulation data of a double-gate (DG) RFET, it is shown that the proposed simplified single-gate (SG) RFET achieves the same functionality and dc characteristics as the more complex DG-RFET. Besides reducing the wiring for the program gate(s), the SG-RFET has the additional advantage of being scalable to smaller channel length and thus achieving higher operating speed.
Mineral-Coated Microparticles Enhance mRNA-Based Transfection of Human Bone Marrow Cells (2019)

The regenerative potential of bone marrow cells could be harnessed for tissue engineering applications. Bone marrow can be easily collected from patients, providing a valuable autologous source of therapeutic cells. However, years of delivery of bone marrow cells have highlighted the need for their genetic manipulation to overcome heterogeneity and to confer specificity to the regenerative process. In this study, we optimized the use of condensed mRNA as a non-viral alternative. As a proof of concept, we used mRNA encoding for reporter proteins such as EGFP or Firefly luciferase, which was condensed by complexing agents and delivered to human bone marrow cells using mineral-coated microparticles. We demonstrated that human bone marrow cells could be transfected with complexed mRNA, and that this approach was more efficient than the delivery of complexed plasmid DNA. In addition, human bone marrow cells were vulnerable to the toxicity of mRNA complexing agents, but these deleterious effects were mitigated by using mineral-coated microparticles as a carrier of complexed mRNA. Microparticle-mediated delivery of complexed mRNA also enabled higher cell metabolic activity and higher transfection in multiple in vitro culture conditions, including suspension culture and three-dimensional culture.
Learning feature extractors for AMD classification in OCT using convolutional neural networks (2017)

In this paper, we propose a two-step textural feature extraction method, which utilizes the feature learning ability of Convolutional Neural Networks (CNN) to extract a set of low level primitive filter kernels, and then generalizes the discriminative power by forming a histogram based descriptor. The proposed method is applied to a practical medical diagnosis problem of classifying different stages of Age-Related Macular Degeneration (AMD) using a dataset comprising long-wavelength Optical Coherence Tomography (OCT) images of the choroid. The experimental results show that the proposed method extracts more discriminative features than the features learnt through CNN only. It also suggests the feasibility of classifying different AMD stages using the textural information of the choroid region.
Explainable AI: A Review of Machine Learning Interpretability Methods (2020)

Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption, with machine learning systems demonstrating superhuman performance in a significant number of tasks. However, this surge in performance, has often been achieved through increased model complexity, turning such systems into "black box" approaches and causing uncertainty regarding the way they operate and, ultimately, the way that they come to decisions. This ambiguity has made it problematic for machine learning systems to be adopted in sensitive yet critical domains, where their value could be immense, such as healthcare. As a result, scientific interest in the field of Explainable Artificial Intelligence (XAI), a field that is concerned with the development of new methods that explain and interpret machine learning models, has been tremendously reignited over recent years. This study focuses on machine learning interpretability methods; more specifically, a literature review and taxonomy of these methods are presented, as well as links to their programming implementations, in the hope that this survey would serve as a reference point for both theorists and practitioners.
Meat Quality Evaluation by Hyperspectral Imaging Technique: An Overview (2012)

During the last two decades, a number of methods have been developed to objectively measure meat quality attributes. Hyperspectral imaging technique as one of these methods has been regarded as a smart and promising analytical tool for analyses conducted in research and industries. Recently there has been a renewed interest in using hyperspectral imaging in quality evaluation of different food products. The main inducement for developing the hyperspectral imaging system is to integrate both spectroscopy and imaging techniques in one system to make direct identification of different components and their spatial distribution in the tested product. By combining spatial and spectral details together, hyperspectral imaging has proved to be a promising technology for objective meat quality evaluation. The literature presented in this paper clearly reveals that hyperspectral imaging approaches have a huge potential for gaining rapid information about the chemical structure and related physical properties of all types of meat. In addition to its ability for effectively quantifying and characterizing quality attributes of some important visual features of meat such as color, quality grade, marbling, maturity, and texture, it is able to measure multiple chemical constituents simultaneously without monotonous sample preparation. Although this technology has not yet been sufficiently exploited in meat process and quality assessment, its potential is promising. Developing a quality evaluation system based on hyperspectral imaging technology to assess the meat quality parameters and to ensure its authentication would bring economical benefits to the meat industry by increasing consumer confidence in the quality of the meat products. This paper provides a detailed overview of the recently developed approaches and latest research efforts exerted in hyperspectral imaging technology developed for evaluating the quality of different meat products and the possibility of its widespread deployment.
Selectivity of oxidative stress targeting in estrogen-induced experimental nephrocarcinogenesis. (2002)

Specificity of targeting of the oxidative stress towards lipid and protein fractions in a model of estrogen-induced Syrian hamster nephrocarcinogenesis was evaluated. The amount of proteins modified by oxidative stress was significantly elevated as early as one month after the initial implantation of estradiol to the experimental versus the control group, while the stress did not affect lipids. Subcellular localization of the oxidative stress target was determined by the analysis of protein oxidation in subcellular fractions of kidney cells. The endoplasmic reticulum membranes were the fraction most affected by the oxidative stress.