gebhart/patrepeval huggingface dataset:
Electrical-Transport Measurements on Synthetic Semiconducting Diamond (1966)

Four-probe electrical-conductivity measurements have been made on a series of General Electric aluminum-doped and nominally boron-doped synthetic semiconducting diamonds in the temperature range 223 to 323\ifmmode^\circ\else\textdegree\fi{}K, and the results compared with those obtained from a natural semiconducting diamond (type IIb). These results, together with those obtained from optical-absorption, recombination-radiation, and chemical-impurity measurements on the same set of specimens, show that the same acceptor center, namely aluminum, is responsible for the semiconducting properties of both natural diamond and synthetic semiconducting diamond presently available. The large range of activation energies reported by other workers is considered to be due to the onset of impurity conduction at progressively higher temperatures with increasing concentrations of neutral acceptor centers.
Observer design for matrix second-order linear systems: a parametric approach (2004)

The issue of designing a type of generalized Luenberger observers for matrix second- order linear (MSOL) systems was addressed in the matrix second-order framework. By introducing the concept of stable matrix pair for MSOL systems, sufficient and necessary conditions for the design of the type of generalized Luenberger observers were given under the assumption of controllability and observability of the MSOL system. Based on the proposed conditions and the right coprime factorization of the system, a parametric approach to the design of such type of observers was presented. The proposed approach provides all the degrees of design freedom, which can be further utilized to achieve additional system specifications. A spring-mass system was utilized to show the effect of the proposed method.
The Human Rights Act - A Practical Guide for NursesThe Human Rights Act - A Practical Guide for Nurses Wilkinson Rosie & HelenCaulfield Whurr Publishers£17.5018615620631861562063 (2000)

This book gives a detailed insight into the Human Rights Act, placing it in the context of health care and discussing the many challenges the Act could create. It explores the impact the Act will have on key areas such as health law, ethics and patients' rights.
Diverse Roles of the Vasculature within the Neural Stem Cell Niche (2009)

An interdependent relationship between the vascular and nervous systems begins during the earliest stages of development and persists through the mammalian lifespan. Accordingly, the process of adult neurogenesis involves the coordinated response of both systems to maintain a specialized microenvironment (niche) that tips the scale towards maintenance or regeneration, as needed. Understanding the nature and regulation of this balance will provide a foundation on which the potential for molecular- and stem cell-based therapies can be developed to treat prevalent CNS diseases and disorders. The vasculature is cited as a prominent feature within the adult subventricular zone and subgranular zone, known adult neural stem cell niches, helping to retain neural stem and progenitor cell potential. The vascular compartment within the neural stem cell niche has the unique opportunity to not only regulate neural stem and progenitor cells through direct contact with, and paracrine signaling from, endothelial and mural cells that make up blood vessels, but also integrates systemic signals into the local microenvironment via distribution of soluble factors from blood circulation to regulate stem cell niche behavior. Understanding the intricate role that the vasculature plays to influence neural stem cells in the context of niche regulation will help to bridge the gap from bench to bedside for the development of regeneration-based therapies for the CNS.
S-Isomap++: Multi manifold learning from streaming data (2017)

Manifold learning based methods have been widely used for non-linear dimensionality reduction (NLDR). However, in many practical settings, the need to process streaming data is a challenge for such methods, owing to the high computational complexity involved. Moreover, most methods operate under the assumption that the input data is sampled from a single manifold, embedded in a high dimensional space. We propose a method for streaming NLDR when the observed data is either sampled from multiple manifolds or irregularly sampled from a single manifold. We show that existing NLDR methods, such as Isomap, fail in such situations, primarily because they rely on smoothness and continuity of the underlying manifold, which is violated in the scenarios explored in this paper. However, the proposed algorithm is able to learn effectively in presence of multiple, and potentially intersecting, manifolds, while allowing for the input data to arrive as a massive stream.
Quantification of Age-Dependent Somatic CAG Repeat Instability in Hdh CAG Knock-In Mice Reveals Different Expansion Dynamics in Striatum and Liver (2011)

Our results are consistent with repeat expansion occurring as a consequence of recurrent small repeat insertions that differ in different tissues. Investigation of the specific mechanisms that underlie liver and striatal instability will contribute to our understanding of the relationship between instability and disease and the means to intervene in this process.
Entanglement-Based Machine Learning on a Quantum Computer (2015)

Machine learning, a branch of artificial intelligence, learns from previous experience to optimize performance, which is ubiquitous in various fields such as computer sciences, financial analysis, robotics, and bioinformatics. A challenge is that machine learning with the rapidly growing "big data" could become intractable for classical computers. Recently, quantum machine learning algorithms [Lloyd, Mohseni, and Rebentrost, arXiv.1307.0411] were proposed which could offer an exponential speedup over classical algorithms. Here, we report the first experimental entanglement-based classification of two-, four-, and eight-dimensional vectors to different clusters using a small-scale photonic quantum computer, which are then used to implement supervised and unsupervised machine learning. The results demonstrate the working principle of using quantum computers to manipulate and classify high-dimensional vectors, the core mathematical routine in machine learning. The method can, in principle, be scaled to larger numbers of qubits, and may provide a new route to accelerate machine learning.
[Sleep apnea syndrome in rheumatoid arthritis (RA) patients complicated with cervical and temporomandibular lesions]. (1995)

All-night polysomnographic studies were performed on ten patients (all female) with rheumatoid arthritis complicated with temporomandibular joint destruction and cervical lesions. The mean age of these subjects was 67.5 yrs, ranging from 48-81 yr. They all had some morphologic abnormalities of cervical spines and/or temporomandibular joints. Sleep study revealed that all of them had sleep apnea; five of them were of obstructive type (obstructive group) while the remaining showed central type of sleep apnea (central group) predominantly. There were no statistically significant differences of the levels of apnea index, mean-nadir SO2 and the lowest SO2 between the obstructive group and the central group. No detectable differences of cephalographic measurements and MRI findings existed between the two groups either. In one patient, nasal-CPAP converted central apnea to normal breathing dramatically. Our observations indicate that the cause of central apnea in RA patients with temporomandibular lesions is collapse of upper airway, inducing inhibitory inputs from the mechanoreceptors in that region.
The autophagy adaptor NDP52 and the FIP200 coiled-coil allosterically activate ULK1 complex membrane recruitment (2020)

The selective autophagy pathways of xenophagy and mitophagy are initiated when the adaptor NDP52 recruits the ULK1 complex to autophagic cargo. Hydrogen-deuterium exchange coupled to mass spectrometry (HDX-MS) was used to map the membrane and NDP52 binding sites of the ULK1 complex to unique regions of the coiled coil of the FIP200 subunit. Electron microscopy of the full-length ULK1 complex shows that the FIP200 coiled coil projects away from the crescent-shaped FIP200 N-terminal domain dimer. NDP52 allosterically stimulates membrane-binding by FIP200 and the ULK1 complex by promoting a more dynamic conformation of the membrane-binding portion of the FIP200 coiled coil. Giant unilamellar vesicle (GUV) reconstitution confirmed that membrane recruitment by the ULK1 complex is triggered by NDP52 engagement. These data reveal how the allosteric linkage between NDP52 and the ULK1 complex could drive the first membrane recruitment event of phagophore biogenesis in xenophagy and mitophagy.
Study of brain complexity using information theory tools (2016)

The human brain is a complex network that shares and processes information by using the structural paths between areas in order to perform a function. Magnetic resonance imaging techniques allow the in vivo reconstruction of the structural paths by using diffusion MRI and the mapping of the active areas by using functional MRI. The connectome models the brain as a graph where nodes correspond to brain regions and edges to structural or functional connections. In this thesis, we investigate and provide new methods to study the brain complexity and improve the understanding of the brain functioning by using information theory.
Firstly, we focus on brain parcellation, which is a key step to perform brain studies since determines the regions to be analyzed. We interpret a brain function as a stochastic process where neural impulses are modeled as a random walk by using the connectivity matrix. Using this interpretation, we first present a new hierarchical clustering method based on the information bottleneck. We describe two versions of the method, the agglomerative approach that merges elements with a minimum loss of mutual information, and the divisive approach that divides the elements with a higher gain of mutual information. The agglomerative version of the method is employed and deeply evaluated to parcellate the brain. We show that the clustered networks preserve the structure and properties of the original network but having higher mutual information.
Secondly, we focus on the definition of measures to characterize the complexity of the brain networks. We propose new global and local measures. Global measures provide quantitative values for the whole-brain network and include the entropy, the mutual information, and the erasure mutual information, which is a new measure defined by extending the mutual information. Local measures are based on different decompositions of the global measures and include the entropic surprise, the mutual surprise, the mutual predictability and the erasure surprise. These measures show local properties of the brain regions, such as the uncertainty associated to the node, or the uniqueness of the path that the node belongs to. 
Finally, the consistency of the results across healthy subjects using functional or structural connectivity data, demonstrates the flexibility and robustness of the proposed methods.
Survey of Cellular Mobile Radio Localization Methods: From 1G to 5G (2017)

Cellular systems evolved from a dedicated mobile communication system to an almost omnipresent system with unlimited coverage anywhere and anytime for any device. The growing ubiquity of the network stirred expectations to determine the location of the mobile devices themselves. Since the beginning of standardization, each cellular mobile radio generation has been designed for communication services, and satellite navigation systems, such as Global Positioning System (GPS), have provided precise localization as an add-on service to the mobile terminal. Self-contained localization services relying on the mobile network elements have offered only rough position estimates. Moreover, satellite-based technologies suffer a severe degradation of their localization performance in indoors and urban areas. Therefore, only in subsequent cellular standard releases, more accurate cellular-based location methods have been considered to accommodate more challenging localization services. This survey provides an overview of the evolution of the various localization methods that were standardized from the first to the fourth generation of cellular mobile radio, and looks over what can be expected with the new radio and network aspects for the upcoming generation of fifth generation.
Influence of two plant extracts on broilers performance, digestibility, and digestive organ size (2004)

A 42-d trial was conducted to study the influence of 2 plant extracts on performance, digestibility, and digestive organ weights in broilers. The feeding program consisted of a starter diet until 21 d and a finisher diet until 42 d. There were 4 treatment groups: control; 10 ppm avilamycin (AB); 200 ppm essential oil extract (EOE) from oregano, cinnamon, and pepper; and 5,000 ppm Labiatae extract (LE) from sage, thyme, and rosemary. No differences in feed intake or feed conversion were observed. From 14 to 21 d of age, broilers fed the LE diet grew faster than the broilers fed the control or EOE feeds (68.8 vs. 63.9 and 61.6 g/d, respectively). Antibiotic and plant extract supplementation improved apparent whole-tract and ileal digestibility of the nutrients. For starter feed, LE supplementation improved apparent fecal digestibility of DM (P < 0.01), and all additives increased ether extract digestibility (P < 0.001). However, no effect was detected for CP digestibility (P > 0.1). At the ileal level, the AB, EOE, and LE supplementation of the starter feed increased DM and starch (P < 0.01) digestibility but not CP digestibility (P > 0.1). All additives improved apparent fecal digestibility of DM and CP of the finisher diet. No differences were observed for proventriculus, gizzard, liver, pancreas, or large or small intestine weight. In the present study, both plant extracts improved the digestibility of the feeds for broilers. The effect of different additives on digestibility improved the performance slightly, but this effect was not statistically significant.
Guidelines for Presenting Quantitative Data in HFES Publications (1998)

This article provides guidelines for presenting quantitative data in papers for publication. The article begins with a reader-centered design philosophy that distills the maxim “know thy user” into three components: (a) know your users′ tasks, (b) know the operations supported by your displays, and (c) match user's operations to the ones supported by your display. Next, factors affecting the decision to present data in text, tables, or graphs are described: the amount of data, the readers′ informational needs, and the value of visualizing the data. The remainder of the article outlines the design decisions required once an author has selected graphs as the data presentation medium. Decisions about the type of graph depend on the readers′ experience and informational needs as well as characteristics of the independent (predictor) variables and the dependent (criterion) variable. Finally, specific guidelines for the design of graphs are presented. The guidelines were derived from empirical studies, analyses of graph readers′ tasks, and practice-based design guidelines. The guidelines focus on matching the specific sensory, perceptual, and cognitive operations required to read a graph to the operations that the graph supports.
Organic Polymer Chemistry: An Introduction to the Organic Chemistry of Adhesives, Fibres, Paints, Plastics, and Rubbers (1973)

This book deals with the organic chemistry of polymers which find tech nological use as adhesives, fibres, paints, plastics and rubbers. For the most part, only polymers which are of commercial significance are considered and the primary aim of the book is to relate theoretical aspects to industrial practice. The book is mainly intended for use by students in technical institutions and universities who are specializing in polymer science and by graduates who require an introduction to this field. There are available several books dealing with the physical chemistry of polymers but the organic chemistry of polymers has not received so much attention. In recognition of this situation and because the two aspects of polymer chemistry are often taught separately, this book deals specifically with organic chemistry and topics of physical chemistry have been omitted. Also, in this way the book has been kept to a reasonable size. This is not to say that integration of the two areas of polymer science is undesirable; on the contrary, it is important that the inter-relationship should be appreciated. I was gratified by the favourable comments prompted by the first edition of the book and I have therefore retained the same organization in this second edition. Nevertheless, the book has been extensively revised to reflect the developments which have taken place.
The role of p38 mitogen‐activated protein kinase in the pathogenesis of inflammatory bowel disease (2011)

Inflammatory bowel disease (IBD) includes ulcerative colitis and Crohn's disease which is characterized by the recurrent intestinal inflammation and overactive immune responses. The signaling pathways of p38 mitogen-activated protein kinase (MAPK) play an important role in bowel inflammation. The inhibition of p38 MAPK can effectively suppress the expression of inflammatory mediators. However, due to the obvious preclinical and clinical side effects, p38 inhibitors are unacceptable in safety profiles and cannot be applied in the treatment of IBD. MAPK-activated protein kinase 2 (MK2), as the direct substrate of p38α and p38β, is a multifunctional signaling protein in the progression of inflammation and several lines of evidence demonstrate that the inhibition of MK2 may produce the same beneficial effect as the inhibition of p38 MAPK. Hence, MK2 is likely to be a potential drug target for the treatment of IBD.
Electron Microscopic Study on the Hemocytes of the Wolf Spider, Pardosa astrigera (1995)

The fine structure of the hemocytes in Wolf spider, Pardosa astrigera, is discribed and compared with that of similar cells in other spider species and insects. Five hemocyte types are identified in the hemolymph: prohemocyte, plasmatocyte, granulocyte, spherulocyte and adipohemocyte. Prohemocytes are small with a relatively undifferentiated cytoplasm. The nucleus is comparatively large and has a perinuclear space. Plasmatocytes and granulocytes are pinocytotic function in the hemolymph of the body. The plasmatocytes have some coated pits on the plasma membrane and well developed Golgi complex, The granulocytes appear sequence of events in the formation of coated vesicle from a coated pit on its plasma membrane. Golgi complex become well expressed and give rise to small secretory vesicles which fuse to large bodies. The spherulocytes are larger in cell size than other hemocytes. Their cytoplasm is filled with spherules. The spherules contain the floccurent materials and the helical structured materials, which are 220nm in length and 80nm in width. The adipohemocytes are oval shaped and have a number of lipid droplets.
Video: Kurt Ronse on directed self-assembly at imec (2012)

DSA is touted as a means for extending optical lithography beyond its current limits, and recent announcements bode well for taking it from the academic lab-scale environment into high-volume manufacturing.
Occurrence, Population Structure, and Antimicrobial Resistance of Enterococci in Marginal and Apical Periodontitis (2009)

Subgingival plaque samples and root canal samples were collected from 2,839 marginal periodontitis (MP) patients and 21 apical periodontitis (AP) patients. Enterococcus species were identified by a series of phenotypic and genotypic tests. Antimicrobial susceptibility assays were performed by an agar disk diffusion test. Multilocus sequence typing (MLST), eBURST, and minimum spanning tree were used for enterococcal genetic clustering and population analysis. Enterococcus faecalis was recovered from 3.7% MP patients and 9.5% AP patients, and Enterococcus faecium was recovered from 0.04% MP patients. Enterococci were detected more often in older male patients. E. faecalis isolates of MP were found resistant to tetracycline (49.1%), erythromycin (8.5%), trimethoprim (2.8%), and gentamicin (1.9%), while one AP isolate was resistant to tetracycline. A total of 40 sequence types (STs) were resolved in 108 E. faecalis isolates. Comparison with E. faecalis international MLST database revealed that 27 STs were previously found, 13 STs were novel, and several major clonal complexes in the database were also found in MP isolates. The tetracycline-resistant isolates distributed mainly in the major clonal complexes and singletons, whereas the erythromycin-resistant isolates were more dispersed. Although the rate of occurrence of enterococci recovered in the MP and AP samples was low, 50% of these isolates are resistant to at least one antimicrobial agent, which is most often tetracycline. This implies that subgingival E. faecalis might represent a reservoir of resistance to tetracycline and erythromycin. The subgingival E. faecalis isolates show high genetic diversity but are grouped, in general, with the known isolates from the international database.
Transmission Electron Microscopy (2012)

Abstract Transmission electron microscopy (TEM) is the premier tool for understanding the internal microstructure of materials at the nanometer level. It allows one to obtain real‐space images of materials with resolutions on the order of a few tenths to a few nanometers, depending on the imaging conditions, and simultaneously obtain diffraction information from specific regions in the images (e.g., small precipitates). Variations in the intensity of electron scattering across a thin specimen can be used to image strain fields, defects such as dislocations and second‐phase particles, and even atomic columns in materials under certain imaging conditions. In addition to diffraction and imaging, the high‐energy electrons (usually in the range of 100 to 400 keV of kinetic energy) in TEM cause electronic excitations of the atoms in the specimen. Two important spectroscopic techniques make use of these excitations by incorporating suitable detectors into the transmission electron microscope, energy‐dispersive x‐ray spectroscopy (EDS), and electron energy loss spectroscopy (EELS). Nanometer‐scale chemical compositional analysis can be performed by using a focused electron probe. Spatial distribution of elements can be obtained by scanning the probe over the specimen, or by energy‐filtered imaging, a special mode in advanced EELS spectrometer. The recent advancements in aberration‐correction technologies have improved the image resolution and probe size to sub‐Ångstrom level, and current density in the probe is increased by an order, which catalyze the emergence of new contrast theories and microanalysis techniques. Many other analyses are also possible in TEM with the development of novel detectors.