Miracle-dz/UniFAR-FTUs huggingface dataset:
Defining the Regulation of Telomerase Through Identification of Mammary-Specific Telomerase Interacting Proteins

Abstract : Telomerase activity is associated with over 90% of human breast cancers and is necessary for continued tumor cell growth, making it an ideal target for inhibition therapy. However, pharmacologic inhibitors of telomerase have not been as effective as expected. As such, our objective here is to identify novel telomerase interacting proteins and define their functional relationship to telomerase in order to provide additional targets for telomerase inhibition in breast cancer. In addition to the results that we reported in the previous annual report, we have found that molecular chaperones specifically associate with telomeres and that the interaction is likely through telomere binding proteins, as well as telomerase. We have confirmed that hsp90 associates with the TRF-2 telomere binding protein and are currently defining the functional significance of this interaction. In addition, we are screening for association of the hsp90/p23 complex with other telomere proteins, some of which may be specific for DNA repair. We are continuing to test additional telomerase-specific antibodies for discovery of novel telomerase interacting proteins, with the hope that biologically relevant proteins will be identified to provide additional targets for directed telomerase inhibition as a means to treat breast cancer.
Black-footed Ferret Mustela nigripes

STATUS AND RANK COMMENTS Black-footed Ferret (Mustela nigripes) was listed as Endangered on the first Endangered Species List in 1967 . Until recently, all Black-footed Ferrets in Wyoming were part of a reintroduced population in Shirley Basin, which is considered an Experimental, Non-Essential population under Section 10(j) of the Endangered Species Act . The United States Fish and Wildlife Service (USFWS), in coordination with the Wyoming Game and Fish Department (WGFD), has recently implemented a statewide 10(j) designation for the species , which facilitated the addition of a new reintroduction site near Meeteetse. Black-footed Ferret is one of six species protected by Wyoming Statute §23-1-101.
Arterial hypertension and coronary artery disease

The influence of blood pressure (BP) on the risk of coronary artery disease (CAD) has been demonstrated by prospective epidemiological studies including large populations and randomized therapeutic trials. Arterial hypertension (HTN) is a modifiable risk factor that may cause all clinical manifestations of CAD. It increases the risk of coronary atherosclerosis by 3 and more than 35% of patients hospitalized for acute coronary syndrome have a history of hypertension (1-3). Angina may occur in hypertensive patients with or without coronary atherosclerotic lesions. The links between the two pathological entities are known but their relations are complex and still under investigation. HTN influences both directly and indirectly CAD, by causing arterial remodeling, limiting coronary vasomotricity, accelerating atherogenesis, promoting the development of atheromatous plaques and their complications (cracking or rupture). The entanglement with other risk factors has a determining role in the high prevalence of this pathological association. In addition, left ventricular hypertrophy (LVH), an independent risk factor, indirectly increases myocardial oxygen consumption and metabolic demands of the myocardium, promotes ischemia by creating functional abnormalities of coronary flow and arteriolar rarefaction. The reduction in the coronary flow reserve is constant in the hypertensive patient (4). In an ischemic hypertensive patient, the recommended target values of diastolic blood pressure and the choice of a preferred therapeutic class are still under debate.
Coseismic Slip Distributions of the 26 December 2004 Sumatra–Andaman and 28 March 2005 Nias Earthquakes from gps Static Offsets

Static offsets produced by the 26 December 2004 M 9 Sumatra- Andaman earthquake as measured by Global Positioning System (GPS) reveal a large amount of slip along the entire '1300 km-long rupture. Most seismic slip inversions place little slip on the Andaman segment, whereas both near-field and far-field GPS offsets demand large slip on the Andaman segment. We compile available datasets of the static offset to render a more detailed picture of the static-slip distribution. We construct geodetic offsets such that postearthquake positions of continuous GPS sites are reckoned to a time 1 day after the earthquake and campaign GPS sites are similarly corrected for postseismic motions. The newly revised slip distribution (M w 9.22) reveals substantial segmentation of slip along the Andaman Islands, with the southern quarter slipping 15 m in unison with the adjacent Nicobar and northern Sumatran segments of length 700 km. We infer a small excess of geodetic moment relative to the seismic moment. A similar compilation of GPS offsets from the 28 March 2005 Nias earthquake is well explained with dip slip averaging several meters (Mw 8.66) distributed primarily at depths greater than 20 km. Online material: Offset estimation procedure, comparison of results to other stud- ies and simpler solutions, and tables of coseismic offsets.
1 Conceptual Framework for Assessing Organization ’ s 2 Readiness to Big Data Adoption 3

The main aim of this paper is to explore the issue of big data and to propose a conceptual 9 framework for big data, based on the temporal dimension. The Temporal Big Data Maturity Model 10 (TBDMM) is a means for assessing organization’s readiness to fully profit from big data analysis. It 11 allows the measurement of the current state of the organization’s big data assets and analytical tools, 12 and to plan their future development. The framework explicitly incorporates a time dimension, 13 providing a complete means for assessing also the readiness to process temporal data and/or 14 knowledge that can be found in modern sources, such as big data ones. Temporality in the proposed 15 framework extends and enhances the already existing maturity models for big data. This research 16 paper is based on a critical analysis of literature, as well as creative thinking, and on the case-study 17 approach involving multiple cases. The literature-based research has shown that the existing 18 maturity models for big data do not treat the temporal dimension as the basic one. At the same time, 19 dynamic analytics is crucial for a sustainable competitive advantage. This conceptual framework 20 was well received among practitioners, to whom it has been presented during interviews. The 21 participants in the consultations often expressed their need of temporal big data analytics, and hence 22 the temporal approach of the maturity model was widely welcomed. 23
Atmospheric δ 13 CO 2 and its relation to p CO 2 and deep ocean δ 13 C during the late Pleistocene

[1] The ratio of the stable carbon isotopes of atmospheric CO2 (d CO2) contains valuable information on the processes which are operating on the global carbon cycle. However, current dCO2 ice core records are still limited in both resolution and temporal coverage, as well as precision. In this study we performed simulations with the carbon cycle box model BICYCLE with special emphasis on atmospheric dCO2, proposing how changes in dCO2 might have evolved over the last 740,000 years. We furthermore analyze the relationship between atmospheric dCO2, pCO2, and deep ocean d C of dissolved inorganic carbon (DIC) (dCDIC) in both our modeling framework and proxy records (when available). Our analyses show that mean ocean and deep Pacific dCDIC are mainly controlled by the glacial/interglacial uptake and release of carbon temporarily stored in the terrestrial biosphere during warmer climate periods. In contrast glacial/ interglacial changes in pCO2 and d CO2 represent mainly a mixture of ocean‐related processes superimposed on the slow glacial/interglacial change in terrestrial carbon storage. The different processes influencing atmospheric dCO2 largely compensate each other and cancel all variability with frequencies of 1/100 kyr. Large excursions in dCO2 can a priori be expected, as any small phase difference between the relative timing of the dominant and opposite sign processes might create large changes in dCO2. Amplitudes in dCO2 caused by fast terrestrial uptake or release during millennial‐scale climate variability depend not only on the amount of transferred carbon but also on the speed of these changes. Those which occur on timescales shorter than a millennium are not detectable in dCO2 because of gas exchange equilibration with the surface ocean. The dCO2 signal of fast processes, on the other hand, is largely attenuated in ice core records during the firnification and gas enclosure. We therefore suggest to measure dCO2 with priority on ice cores with high temporal resolution and select times with rather fast climatic changes.
UvA-DARE ( Digital Academic Repository ) On first trimester Down syndrome screening

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Perspectives in Biochemistry August 23 , 1988 Lipid Sorting in Epithelial Cells

O n e of the challenges of contemporary cell biology is to unravel how the molecular composition of the different cellular compartments is generated and maintained during the cell cycle. In animal cells most of the efforts have been directed toward the study of how newly synthesized proteins are transported to their correct cellular destinations, whereas the lipids, which make up the framework of the membranes in the cell, have been given much less attention. Lipid biochemistry has remained a fairly esoteric branch of molecular cell biology. This situation is now gradually changing with the discovery of phosphoinositide involvement in signal transduction (Berridge, 1987) and other interesting developments in the lipid field such as covalent attachment of lipids to proteins (Cross, 1987; Pagano & Sleight, 1985a; Sefton & Buss, 1987). After years of neglect the interest in the role of lipids in intracellular membrane traffic is also on the rise. Several recent reviews have dealt with this subject in general terms (Pagano & Sleight, 1985b; Sleight, 1987; Dawidowicz, 1987). Our paper will focus on the generation and maintenance of the different lipid compositions of the two cell surface domains in the polarized cells of simple epithelia. The sorting of newly synthesized surface glycoproteins destined for the two plasma membrane domains has been localized to the trans Golgi network, the exit compartment of the Golgi complex (Griffiths & Simons, 1986; Simons & Fuller, 1985; Hughson et al., 1988) (Figure 1). The sorting of newly synthesized sphingolipids en route to the epithelial cell surface also takes place intracellularly in the Golgi complex (van Meer et al., 1987), raising the possibility that protein and lipid sorting are directly connected to each other. Our working hypothesis is that the transport machinery in the trans Golgi network sorts lipids and proteins into common carrier vesicles for delivery to the correct cell surface domain. The Lipid Composition of Apical and Basolateral Plasma Membrane Domains. The simple epithelia lining the body
Carbonation mechanism of alkali-activated fly ash and slag materials: In view of long-term performance predictions

As the building sector is expanding, a growing interest in technologies that can reduce the CO2 emission from concrete production has led to partial replacement of cement with by-products from various industrial processes. Besides the partial replacement of cement, development of alkali activation technology ensures full replacement of cement in concrete. Although alkali activated materials (AAMs) are one of the most sustainable alternatives to cement-based concrete, structural application of AAMs is still not viable, as their long-term performance is not sufficiently studied. For instance, no recommendations are yet given to the scientific and engineering communities as a general approach for testing carbonation of AAMs. Furthermore, there is a limited number of case studies of long-term performance of AAMs in the past to assist the predictive models of their service life. The long-term performance (carbonation resistance) of AAMs is mainly dependent on the microstructure features of the binder (e.g. phase assemblages and pore structure), which can be modified using different constituents and materials mixture designs. Therefore, the aim of this thesis was the development of a conceptual carbonation mechanism that can be applied to analyse carbonation resistance of any alkali activated concrete mixture. For this reason, the carbonation mechanism was studied at different length scales, from paste to concrete level, while the effects of carbonation on the chemical, physical and mechanical properties were captured. The relationship between carbonation rate, pore solution chemistry and microstructure was investigated. An advanced microstructure characterization of fly ash (FA) and ground granulated blast furnace slag (GGBFS) was performed using PARC software. The combined effect of GGBFS content, curing (sealed/unsealed) and exposure conditions (natural indoor/outdoor and accelerated carbonation) on the carbonation resistance of pastes was considered. Based on the parameter studies (GGBFS content, curing, exposure conditions), recommendations for design of alkali activated concrete for engineering practice are given in view of carbonation resistance.
Automated Detection of Pipe Bursts and Other Events in Water Distribution Systems

AbstractThis paper presents a new methodology for the automated near-real-time detection of pipe bursts and other events that induce similar abnormal pressure/flow variations (e.g., unauthorized consumptions) at the district metered area (DMA) level. The new methodology makes synergistic use of several self-learning artificial intelligence (AI) techniques and statistical data analysis tools, including wavelets for denoising of the recorded pressure/flow signals, artificial neural networks (ANNs) for the short-term forecasting of pressure/flow signal values, statistical process control (SPC) techniques for short- and long-term analysis of the pipe burst/other event-induced pressure/flow variations, and Bayesian inference systems (BISs) for inferring the probability of a pipe burst/other event occurrence and raising corresponding detection alarms. The methodology presented here is tested and verified on a case study involving several DMAs in the United Kingdom (U.K.) with both real-life pipe burst/other eve.
Hemostasis and anticoagulant therapy in liver diseases

Hemostasis is a complex process to stop bleeding from damaged blood vessels. A disturbance in the hemostatic system may result in either a bleeding or a thrombotic tendency. The liver plays a central role in the hemostatic system as it synthesizes the majority of hemostatic proteins. There are, therefore, profound changes in the hemostasis of patients with liver disease. Historically, these changes were interpreted as predisposing for a bleeding tendency. Nowadays, however, we know that patients with a liver disease are at risk for both bleeding and thrombosis. Studies in this thesis deal with an in depth understanding of the hemostatic system in patients with liver disease. Additional evidence for the concept of ‘rebalanced hemostasis’ in patients with specific liver diseases is provided. Thrombotic complications are increasingly diagnosed in patients with liver disease. However, little research has been done on the efficacy and safety of the available anticoagulant drugs in patients with liver disease. Therefore, guidelines on the anticoagulant drug of choice and dosing for the various indications are still lacking. Studies described in this thesis assessed the efficacy and monitoring of anticoagulant drugs in plasma from patients with liver disease. In short, we found that the anticoagulant potency of clinically approved drugs differs substantially between patients with chronic liver disease and healthy individuals. Drug-specific dose adjustments may, therefore, be required in these patients. The results of this thesis contribute to development of better strategies to prevent or treat thrombosis in patients with liver disease.
9 QCM Technology in Biosensors

In the fields of analytical and physical chemistry, medical diagnostics and biotechnology there is an increasing demand of highly selective and sensitive analytical techniques which, optimally, allow an in real-time direct monitoring with easy to use, reliable and miniaturized devices. Biomolecular interactions such as: antigen-antibody, pathogen detection, cell adhesion, adsorption and hybridization of oligonucleotides, characterization of adsorbed proteins, DNA & RNA interactions with complementary strands and detection of bacteria and viruses, among others, are typical applications in these areas. Conventionally, analytical methods include different techniques depending on the application. For instance, for low molecular weight pollutants detection, gas and liquid chromatography are classical techniques. These techniques precise of sophisticated sample pre-treatment: extraction of crude sample with large amounts of organic solvent, which is expensive and needs to be discarded; precolumn filtration and extensive purification (De Kok et al., 1992). Due to these shortcomings the analysis of a large number of samples may be both cost and time prohibitive (Ahmad et al., 1986). Immunoassays for low molecular weight compounds (pesticides, industrial chemical pollutants, etc.) have already gained a place in the analytical benchtop as alternative or complementary methods for routine classical analysis as they are simple, fast, inexpensive, and selective as well as highly sensitive although, in general, not as much as chromatographic techniques. Immunoassays are able to detect specifically one target analyte in a complex sample. Moreover, immunoassays can be performed on portable devices, irrespective of centralized laboratories, which turn them into a suitable tool for quantification analysis in on-line applications. These techniques are based on the interaction of one antigen (analyte) with an antibody which recognizes it in a specific way. Currently, Enzyme Linked ImmunoSorbent Assay (ELISA) and Immunosensors are the most popular immunoassays. In ELISAs the detection of the analyte is always indirect because one of the immunoreagents is labeled. In immunosensors, or immunological biosensors, the detection is direct, one of the immunoreagents is immobilized on the surface of the transducer, and a direct physical signal is produced when interaction occurs (Marty et al, 1998; Byfield et al, 1994; Montoya et al, 2008). In those techniques where labels are necessary, the actual
Interactive analytical modelling

This dissertation addresses the problem of designing tools for non-expert end-users performing analytical modelling, the activity of data analytics through machine learning. The research questions are, firstly, can tools be built for analytical modelling? Secondly, can these tools be made useful for non-experts? Two case studies are taken: that of building and applying machine learning models to analyse time series data, and that of building and applying machine learning models to analyse data in spreadsheets. Respectively, two prototypes are presented, Gatherminer and BrainCel. It is shown how it is possible to visualise general tasks (e.g., prediction, validation, explanation) in these contexts, illustrated how these prototypes embody the research hypotheses, and confirmed through experimental evaluation that the prototypes do indeed have the desirable properties of facilitating analytical modelling and being accessible to non-experts. These prototypes and their evaluations exemplify three theoretical contributions: (a) visual analytics can be viewed as an instance of end-user programming, (b) interactive machine learning can be viewed as dialogue, and (c) analytical modelling can be viewed as constructivist learning. Four principles for the design of analytical modelling systems are derived: begin the abstraction gradient at zero, abstract complex processes through heuristic automation, build expertise through iteration on multiple representations, and support dialogue through metamodels.
The 0 . 1 < z < 1 . 65 evolution of the bright end of the [ O ] luminosity function ? , ? ?

Johan Comparat1,2, Johan Richard4, Jean-Paul Kneib5, Olivier Ilbert3, Violeta Gonzalez-Perez6,7, Laurence Tresse3, Julien Zoubian6, Stephane Arnouts3, Joel R. Brownstein12, Carlton Baugh7, Timothee Delubac5, Anne Ealet6, Stephanie Escoffier6, Jian Ge13, Eric Jullo3, Cedric Lacey7, Nicholas P. Ross8, David Schlegel9, Donald P. Schneider14,15, Oliver Steele10, Lidia Tasca3, Christophe Yeche11, Michael Lesser17, Zhaoji Jiang16, Yipeng Jing18, Zhou Fan16, Xiaohui Fan17, Jun Ma16, Jundan Nie16, Jiali Wang16, Zhenyu Wu16, Tianmeng Zhang16, Xu Zhou16, Zhimin Zhou16, and Hu Zou16
A dynamic model of the hypoxia -‐ inducible factor 1 -‐ alpha ( HIF -‐ 1 α ) network

Title þÿ A d y n a m i c m o d e l o f t h e h y p o x i a i n d u c i b l e f a c t o r 1 ( H I F 1 ± ) n e t w o r k Authors(s) Nguyen, Lan K. ; Cavadas, Miguel A. S. ; Scholz, Carsten C. ; et al. Publication date 2013-02-06 Publication information Journal of Cell Science, 126 (6): 1454-1463 Publisher The Company of Biologists Item record/more information http://hdl.handle. net/10197/5066 Publisher's version (DOI) 10.1242/jcs.119974
Model-Reference Adaptive Control—Stability, Parameter Convergence, and Robustness

We study stability, parameter convergence and robustness aspects of single input-single output model reference adaptive systems. We begin by establishing a framework for studying parametrizable and unparametrizable uncertainty in the plant to be controlled. Using the standard assumptions on the parametrizable part of the plant dynamics we give a corrected proof (of Narendra, Lin and Valavani) of the stability of the nominal adaptive scheme. Next, we give conditions on the exogenous input to the adaptive loop, the reference signal, to guarantee exponential para meter and error convergence. Using our framework for studying unmodelled (unparametrized) dynamics; we show how the model should be chosen, and the update law modified (by a deadzone in the update law) to preserve stability of the adaptive loop in the presence of output disturbances and unmodelled dynamics. Finally, we compare adaptive and non-adaptive con trol and list directions of ongoing research.
The experience of using the personal electrocardiograph “ECG-Express”

The article describes the results of testing ECG-Express devices, previously developed at the Tomsk Polytechnic University. The testing was carried out on the basis of Tomsk Scientific Research Institute of Cardiology. Here we show the argumentation for application of such a devices in medical practice as well as number of cases of successful use.