Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of radio-resistance mechanisms in cancer stem-like cells isolated from canine tumor cell lines and stem cell-selective radio-sensitizing property of anti-diabetic agent metformin. [an abstract of entire text]

Title Evaluation of radio-resistance mechanisms in cancer stem-like cells isolated from canine tumor cell lines and stem cellselective radio-sensitizing property of anti-diabetic agent metformin. [an abstract of entire text] Author(s) 出口, 辰弥 Citation 北海道大学. 博士(獣医学) 甲第13504号 Issue Date 2019-03-25 Doc URL http://hdl.handle. net/2115/74784 Type theses (doctoral abstract of entire text) Note この博士論文全文の閲覧方法については、以下のサイトをご参照ください。 Note(URL) https://www.lib. hokudai.ac. jp/dissertations/copy-guides/ File Information Tatsuya_DEGUCHI_summary. pdf
Syddansk Universitet Risk factors associated with short term mortality changes over time , after arrival to the emergency

Background: Preventing death is the most important outcome pursued in the Emergency Department. Prompt accurate assessment, followed by competent and efficient investigation and treatment is the recipe sought. Abnormal physiological measurements are common antecedents to deterioration and therefore a cornerstone in many risk stratification tools. Some risk factors have their impact during the first few days after admittance, others have higher impact on 30 day mortality. Understanding the variance in impact of risk factors is relevant for future composition of risk stratification models. Methods: We included patients aged 18 years or older, registered at the Emergency Department at Odense University Hospital from April 1st 2012 to September 30th 2014. We performed multivariate logistic regressions, adjusted for age, gender and comorbidity, to describe the relationship between potential risk factors and measures of short term mortality. Results: A total of 43,178 were eligible for analysis. Median age was 56 (IQR 36–72) and 48.3% were males. The over-all 30-day-mortality was 4%. One third of deaths occurred within the first 2 days. Higher age, male gender and comorbidity are all associated with immediate, 0-2 day, 3-7 day and 8–30 day mortality. The degree of acuteness at arrival defined by urgency-level, physician-assisted transfer to the Emergency Department and abnormal vital parameters are associated with 0-2 day mortality. High temperature at arrival shows no association in either mortality-group. Missing values are associated with immediate and 0–2 day mortality, but no association with mortality after 7 days. Discussion: Abnormal vital parameters and degree of acuity at admission were strongly associated with mortality in the first hours and days after admission, where after the association decreased. The effect of other risk factors such as male gender, comorbidity and high age were time stable or even increasing over time. Conclusions: The over-all 30-day mortality was 4%. Physiology–related risk factors varied in strength of association throughout different mortality outcome measures.
Loughborough University Institutional Repository Stochastic unit commitment in microgrids based on model predictive control

This article deals with the problem of Stochastic Unit Commitment (SUC), considering the stochastic nature of demand and meteorological phenomena. This paper shows the optimal operation of a hybrid microgrid composed of the following generation units: wind turbine (WT), photovoltaic solar panel (PV), diesel engine generator (DE), micro-turbine (MT), as well as storage devices such as Battery Energy Storage (BES), considering its constraints and the requirements of the reserve generation. For this purpose, a Model-based Predictive Control (MPC), which uses dynamic models of prediction of renewable power and demand in real time, is developed, allowing feedback at each step of time, which corrects the uncertainty of the models. A comparison with a classic UC formulation has been made. The results reach a lower cost solution.
Enhancing opportunistic polychaete communities under fish farms: an alternative concept for integrated aquaculture

This note presents the development of benthic integrated aquaculture, addressing a novel cultivation concept for open-water aquaculture. We introduce an approach that supports the colonization of indigenous polychaete communities on benthic cultivation trays deployed in the vicinity of fish-farming cages. Enhancement and subsequent harvest of polychaetes that naturally dominate the local benthic response is essentially different from the classical IMTA approach wherein juveniles and/or seedlings of the extractive species are introduced to the farm site. Results of a field trial showed quick and massive colonization of cultivation trays by polychaetes (predominantly Ophryotrocha craigsmithi) and large spatial variability within the salmon farm site. Our results suggest that enhancing indigenous opportunistic polychaetes is a promising cul-tivation concept making use of the deposition of organic wastes such as fish faeces and uneaten feed. The methods and results presented here contribute to solutions for technical optimization of benthic IMTA techniques. We expect that further advances in benthic IMTA production will con-tribute to the expansion of open-water finfish aquaculture within environmentally sustainable boundaries
Modulating M iox 2 expression in nicotiana tabacum and impacts on genes involved in cell wall biosynthesis

Cell walls are essential structures for plant development and growth. Apart from its biological functions, the polysaccharides that make cell walls (cellulose, hemicellulose and pectins) are the principal natural fibrous materials, considered the most important renewable resource on earth, used as raw material for many industrial processes among them, for pulp and paper production, charcoal, and biofuels. For all these reasons, the study of molecular composition and biosynthesis of plant cell walls has been a matter of great interest for researchers over the past few years. In this context, a full-length cDNA fragment of Miox2 gene was cloned from Arabidopsis seedlings, using RT-PCR, with an open reading frame of 954 pb and a corresponding protein subunit molecular mass of 37 kDa. The deduced amino acid sequence of the cDNA showed a high degree of identity with myo-Inosytol oxygenases from other organisms. This cDNA was used for genetic transformation of tobacco, a model plant, which expressed either antisense or sense RNA. Transgenic homozygous tobacco plants, with either repression or constitutively expression of Miox2, were obtained with the number of copies varying from 1 to 7. Neither, the repression of the endogenous tobacco Miox genes or the constitutive expression of Miox2 gene, caused major impacts on plant development, leaf morphology or flowering time. Moreover, although statistically significant (P<0.05) changes in the arabinan and D-galacturonate contents were observed between transgenic and control lines, these results indicate that the modulation of the myo-Inositol pathway caused no major impacts also on cell wall polysaccharide biosynthesis.
N ov 2 01 4 Computational study for investigating acoustic streaminga d heating during acoustic hemostasis

High intensity focused ultrasound (HIFU) has many applicat ions ranging from thermal ablation of cancer to hemostasis. Although focused ultrasound can seal a bleeding site, physical mechanisms of acoustic hemostasis are not fully understood yet. To unders tand better the interaction between different physical mechanisms involved in hemostasis a mathematical model of acoustic hemostasis is developed. This model comprises the nonlinear Westervelt equation and the bioheat equations in tissue and blood vessel. In the three dimensional domain, the nonlinear hemo dynamic equations are coupled with the acoustic and thermal equations. Convected cooling and acou sti streaming effects are incorporated in the modeling study. Several sonication angles and two wound shapes have been studied. The optimal focal point location is at the rear of the wound and the optima l angle is 450.
Stability Analysis of Bread Wheat Genotypes under Different Nitrogen Fertilizer Levels

Sixteen bread wheat genotypes were evaluated for days to 50% heading, plant height, 1000-grain weight, grain yield and biological yield under six varied environments which are the combination between, two seasons 2009/2010 and 2010/2011 and three nitrogen fertilizer levels (50, 80 and 110 kg N/fad.). The combined analyses of variance showed highly significant differences were registered between genotypes, environments as well as G x E for all studied traits. Low nitrogen stress significantly reduced these traits for all wheat genotypes under 1 and 2 compared with the 3 level. Joint regression analysis of variance revealed highly significant G x E “linear” for all characters. Environment + Genotype x Environment (E + G x E), Environment (linear) and G x E (linear) were highly significant for all studied characters. Phenotypic stability parameters revealed that wheat genotypes, Gemmeiza 7 was highly adapted to favorable environments for days to 50% heading and 1000grain weight; Gemmeiza 9 for plant height, grain yield and biological yield; Misr1 and Line1 for grain yield and biological yield. Genotypic stability parameters indicated that wheat genotypes Gemmeiza 9 was highly adapted to favorable environments for plant height, 1000-grain weight, grain yield and biological yield; Giza 168, Line 1 and Misr 1 for grain yield and biological yield and Line 7 for plant height and 1000-grain weight. The AMMI analysis of variance showed highly significant difference between genotypes, environments, G x E, IPCA1 and IPCA2. AMMI stability value (ASV) and GE biplot revealed that, the most desired and stable genotypes were Sakha 93, Gemmeiza 7 and Line 8 for days to 50% heading; Line 8, Line 2, Sids1 and Gemmeiza 9 for plant height; Gemmeiza 9, Sids 1, Gemmeiza 7 and Line 4 for 1000-grain weight; Line1, Gemmeiza 10, Giza 168, Sakha 94 and Line 3 for grain yield and Giza 168, Gemmeiza 9, Line1, Misr1 and Gemmeiza 10 for biological yield. According to GGE biplots, the ideal genotype was Gemmeiza 7 for days to 50% heading; Gemmeiza 10 for plant height; line 7 for 1000-grain weight; Giza 168 for grain yield and Misr 1 for biological yield.
Two-Aggregator Topology Optimization Using Multiple Paths in Data Center Networks

In this paper we focus on the problem of data aggregation using two aggregators in a data center network, where the source racks are allowed to split their data and send to the aggregators using multiple paths. We show that the problem of finding a topology that minimizes aggregation time is NP-hard for k = 2, 3, 4, where k is the maximum degree of each ToR switch (number of uplinks in a top-of-rack switch) in the data center. We also show that the problem becomes solvable in polynomial time for k = 5 and 6 and conjecture the same for k <inline-formula><tex-math notation="LaTeX">$>$</tex-math><alternatives><mml:math><mml:mo>></mml:mo></mml:math><inline-graphic xlink:href="das-ieq1-2712690.gif"/></alternatives></inline-formula> 6. Experimental results show that, for k = 6, our topology optimization algorithm reduces the aggregation time by as much as 83.32 percent and reduces total network traffic by as much as 99.5 percent relative to the torus heuristic, proposed in <xref ref-type="bibr" rid="ref1">[1]</xref> , which readily proves the significant improvement in performance achieved by the proposed algorithm.
VIÐSKIPTADEILD | SCHOOL OF BUSINESS

The aim of this study was to examine whether depression, anxiety, and stress symptoms could be affected by an 8-weeks physical activity and a mindfulness-based intervention. The literature suggests that both mindfulness and physical activity plays a significant role in wellbeing. It was hypothesized that depression, anxiety, and stress symptoms will decrease with this intervention. The study participants were 206 individuals, 176 women and 30 men (age ranged from 19 to 66 years), attending the course Hugarlausnir at Heilsuborg in the years of 2017 and 2018. Participants did answer the DASS-42 scale both before and at the end of the course. The study used paired-samples t-test to analyses the data. The results demonstrated that mindfulness and physical activity have a positive effect on depression, anxiety, and stress symptoms. In conclusion, this study gave further evidence of the relation between mindfulness, physical activity, and well-being, as well as demonstrating that mindfulness and physical activity might be beneficial to reduce depression, anxiety, and stress symptoms.
TRANSITION IN THE ASYMPTOTIC SUCTION BOUNDARY LAYER

We study the transition to turbulence in the asymptotic suction boundary layer (ASBL) by direct numerical simulation. Tracking the motion of trajectories intermediate between laminar and turbulent states we can identify the invariant object inside the laminar-turbulent boundary, the edge state. In small domains, the flow behaves like a travelling wave over short time intervals. On longer times one notes that the energy shows strong bursts at regular time intervals. During the bursts the streak structure is lost, but it reforms, translated in the spanwise direction by half the domain size. Varying the suction velocity allows to embed the flow into a family of flows that interpolate between plane Couette flow and the ASBL. Near the plane Couette limit, the edge state is a travelling wave. Increasing the suction, the travelling wave and a symmetry-related copy of it undergo a saddle-node infinite-period (SNIPER) bifurcation that leads to bursting and discrete-symmetry shifts. In wider domains, the structures localize in the spanwise direction, and the flow in the active region is similar to the one in small domains. There are still periodic bursts at which the flow structures are shifted, but the shift-distance is no longer connected to a discrete symmetry of the flow geometry. Two different states are found by edge tracking techniques, one where structures are shifted to the same side at every burst and one where they are alternatingly shifted to the left and to the right.
RELATIONSHIP BETWEEN EMOTIONAL INTELLIGENCE AND JOB BURNOUT AMONG UNIVERSITIES PROFESSORS

The study was designed to investigate the relationship between emotional intelligence (EI) and job burnout among universities professors in Karachi. The sample size was of 100 professors from different universities of Karachi. Participant’s age was between 25-50 years. The Schutte Self Report Emotional Intelligence Test (SSEIT Schutte et al., 1998) and Maslach Burnout Inventory (Maslach & Jackson, 1981) were applied. Linear Regression was used to analyse the data. The result indicated a significant negative association between emotional intelligence and job burnout among universities professors.
Supplementary material to "Strategies of Method Selection for Fine Scale PM2.5 Mapping in Intra-Urban Area Under Crowdsourcing Monitoring"

Abstract. Fine particulate matters (PM2.5) are of great concern to public due to their significant risk to human health. Numerous methods have been developed to estimate spatial PM2.5 concentrations at unobserved locations due to the sparse fixed monitoring stations. On the other hand, as the rising of low-cost sensing for air pollution monitoring, crowdsourcing activities has been gradually introduced into fine exposure control in cities. However, the optimal mapping method for conventional sparse fixed measurements may not suit this new high-density monitoring way. This study therefore for the first time presents a crowdsourcing sampling campaign and strategies of method selection for hundred meter-scale level PM2.5 mapping in intra-urban area of China. In this process, the crowdsourcing sampling campaign was developed through a group of volunteers and their smart phone applications; the best performed mapping approach was chosen by comparing three widely used modelling method (ordinary kriging (OK), land use regression (LUR), and universal kriging combined OK and LUR (UK)) with increasing training sites. Results show that crowdsourcing based PM2.5 measurements varied significantly by sites (i.e. urban microenvironments) (Period 1: 28–136 µg m−3; Period 2: 115–266 µg m−3) and clearly differed from those at national monitoring sites (Period 1: 20–58 µg m−3; Period 2: 146–219 µg m−3). Despite the performance of the three models in estimating PM2.5 concentrations all improved as the number of training sites increase, OK interpolation performed best under conditions with non-peak traffic (9:00–11:00) in Period 1 (i.e. light-polluted period) with the hold-out validation R2 ranging from 0.47 to 0.82. Meanwhile, the accuracy of UK was the highest for 8:00 and 12:00 with less than 70 % training sites (0.40–0.69) and all five hours of Period 2 (i.e. heavy-polluted period) (0.32–0.68). Comparatively, LUR demonstrated limited ability in PM2.5 concentration simulations (0.04–0.55). Moreover, spatial distributions of PM2.5 concentrations based on the selected model with crowdsourcing data clearly illustrated their hourly intra urban variations which are generally concealed by the results from national air quality monitoring sites. This method selection strategy provides solid experimental evidence for method selection of PM2.5 mapping under crowdsourcing monitoring and a promising access to the prevention of exposure risks for individuals in their daily life.
Interactive comment on “A comparative assessment of the uncertainties of global surface-ocean CO 2 estimates using a machine learning ensemble (CSIR-ML6 version 2019a) – have we hit the wall?” by Luke Gregor et al.

The authors present (1) a new algorithm to spatiotemporally interpolate discrete pCO2 measurements into continuous pCO2 field, and (2) present and discuss a comparison between this and existing pCO2 interpolations in the light of several metrics. Concerning (1), though the algorithm is based on the same principles (namely non-linear regression of pCO2 against driving quantities measured more completely) which have also been employed by several existing algorithms for the same purpose, it differs by a formalized selection of how to split the ocean into areas of similar biogeochemical behaviour. In particular, the selection is not done in isolation but involves the regression
Monetary Policy Shocks and the Health of Banks

Based on high frequency identification and other econometric tools, we find that monetary policy shocks had a significant impact on the health of euro area banks. Information effects, which made the private sector more pessimistic about future prospects of the economy and the profitability of the banking sector, were strongly present in the post-crisis period. We show that ECB communications at the press conference were crucial for the market response and that bank health benefitted from surprises, which steepened the yield curve. We find that the effects of monetary policy shocks on banks displayed some persistence. Other bank characteristics, in particular bank size, leverage and NPL ratios, amplified the impact of monetary policy shocks on banks. After the OMT announcement, we detect that the response of bank stocks to monetary policy shocks normalised. We discover that, in the post-crisis episode, Fed monetary policy shocks influenced euro area bank stock valuations. JEL Classification: E40, E52, G14, G21
10 Simultaneous Detection of Multi-DNAs and Antigens Based on Self-Assembly of Quantum Dots and Carbon Nanotubes

The development of convenient methodologies for simultaneous detection of specific multiDNAs and antigens in biological and environmental samples has received broad attention because their detection, identification and quantification are very complex, expensive and time consuming (Abu-Salah et al., 2010; Strehlitz et al., 2008; Zhang et al., 2009). Over the past 30 years, biosensors, namely the devices incorporating biological sensing elements either intimately connected to or integrated within transducers, have been designed and fabricated to find effective solutions to these problems, which offer certain operational advantages over other traditional methods, notably with respect to rapidity, ease-of-use, low cost, simplicity, portability, and ease of mass manufacture (Cooper, 2002; Turner, 2000; Turner et al., 1987). The fundamental prerequisite of biosensors depends on specific molecular recognition based on affinity between complementary structures such as enzymesubstrate, antibody-antigen, receptor-hormone, and so forth (Zhang et al., 2009). This specific recognition gives rise to the production of concentration–proportional signals. Up to date, some biosensors have been commercialized for some special applications like blood glucose and lactate measurement or bioprocess control, amongst others. However, they have not still entered the market as much as expected, which is caused by the following reasons: (1) the selectivity and specificity of biosensor highly depends on biological recognition systems (Spichiger-Keller, 1998); (2) the sensitivity detection limit is difficult to achieve trace levels, even the single molecular detection (Sheehan and Whitman, 2005); (3) High throughput assay is desired to simultaneously process multiple samples (Sittampalam et al., 1997); (4) the biological recognition elements of the biosensor (e.g. enzymes, antibodies or cells) are usually instable (So et al., 2005). With the development of nanoscience and nanotechnology, a series of novel nanomaterials with controlled size and morphologies are being fabricated, their novel properties are being gradually discovered with difference from their corresponding bulk materials, and the applications of nanomaterials in biosensors have also made great advances (Jianrong et al., 2004; Kumar, 2007; Pandey et al., 2008). Nanomaterials can be made from both inorganic and organic materials and are less than 100 nm in length along