Miracle-dz/UniFAR-FTUs huggingface dataset:
Some Models of Reproducing Graphs: I Pure Reproduction

Many real world networks change over time. This may arise due to individuals joining or leaving the network or due to links forming or being broken. These events may arise because of interactions between the vertices which occasion payoffs which subsequently determine the fate of the nodes, due to ageing or crowding, or perhaps due to isolation. Such phenomena result in a dynamical system which may lead to complex behaviours, to self-replication, to chaotic or regular patterns, to emergent phenomena from local interactions. They give insight to the nature of the real-world phenomena which the network, and its dynamics, may approximate. To a large extent the models considered here are motivated by biological and social phenomena, where the vertices may be genes, proteins, genomes or organisms, and the links interactions of various kinds. In this, the first paper of a series, we consider the dynamics of pure reproduction models where networks grow relentlessly in a deterministic way.
DUAL SOLUTIONS FOR UNSTEADY FLOW OF POWELL-EYRING FLUID PAST AN INCLINED STRETCHING SHEET

This paper deals with the heat and mass transfer in unsteady flow of Powell-Eyring fluid past an inclined stretching sheet in the presence of radiation, non-uniform heat source/sink and chemical reaction with suction/injection effects. The governing equations are reduced into system of ordinary differential equations using similarity transformation and solved numerically using Runge-Kutta based shooting technique. Results display the influence of governing parameters on the flow, heat and mass transfer, friction factor, local Nusselt and Sherwood numbers. Comparisons are made with the existed studies. Present results have an excellent agreement with the existed studies. Results indicate that an increase in the chemical reaction parameter depreciates the friction factor, heat transfer rate and enhances the mass transfer rate. Dual solutions exist only for certain range of suction/injection parameters.
Winter‐time dissolved iron and nutrient distributions in the Subantarctic Zone from 40–52S; 155–160E

In HNLC oceanic regions, iron (Fe) controls phytoplankton productivity yet large gaps remain in our understanding of iron's biogeochemical cycle. Here we present the first comprehensive winter dataset for dissolved Fe (dFe) and nitrate (NO3) distributions (0–1000 m depth) between 40S–52S, which transects the Subantarctic zone (SAZ), west of New Zealand. Surface concentrations (<0.2 nmol Fe kg−1) were conspicuously low, i.e., probably biologically limiting even at winter‐reserve levels, at frontal zones between 43S (Subtropical Front) and ∼51S (Subantarctic Front). A fivefold range in Fe:NO3 molar ratios was observed along the transect, with Subtropical waters, where blooms occur, having the highest ratios in subsurface waters. The major wintertime supply of dFe in the SAZ is from Ekman advection of waters from the south (but calculated source water dFe is ∼0.2 nmol Fe kg−1), suggesting that mixed‐layer dFe concentration is controlled by how long these southern waters remain at the surface (∼3 years).
Fill Removal with Foam in Horizontal Well Cleaning in Coiled Tubing

Coiled Tubing (CT) services are extensively used in oil industry to clean out the fill produced from wellbore. Recently, the use of foam as cleaning agent has become more popular due to its low density and high viscosity which are desirable in many cleaning operations. The present study is carried out to investigate the suspension of fines in the annulus of CT during cleaning operations. Solid particles were uniformly injected at annulus inlet and sand concentration at each point in the annular was calculated along the horizontal wellbore section. The motion of the particles is calculated under the effect of drag, buoyancy, rotational and virtual mass forces to analyze the settlement of the particles. The foam quality and foam velocity are found to be the deciding factors for the particle depositional pattern. The fill removal efficiency and frictional pressure loss are affected by both the velocity of the annular flow and the quality of the foam.
Relation Benefit Implication for Repeating Order through Online Sales Application case study Batik SMEs in East Java

Strategy relational benefits, when viewed from the perspective of Customer Relationship Management is a strategy to facilitate the implementation of Customer Relationship Management strategy to become business actions to respond to the behavior of actual and potential customers. Information technology also provides many benefits and services for customers such as the benefits of the trust in the form of self- confidence and reduced anxiety (Rebecca and Kevin P. Gwinner, 2003(1)). The use of information technology also provide time benefits which is saving the time to visit or view the product and also selling the product at the same time (Yujong Hwang and Dan J.Kim, 2007(2)). The sampling method used in this study is proportional cluster random sampling. The samples is from the online customer of the batik product in East Java from February to May 2013. Analysis of the data in this study are using Structural Equation Modelling (SEM). Based on the results of research on that confidence can benefit significantly influence the satisfaction, confidence benefits significantly influence usage intention, social benefits significantly influence satisfaction, social benefits significantly influence usage intention, special treatment benefits significantly influence satisfaction, special treatment benefits significantly influence usage intention, satisfaction significant effect on usage intention. Keywords -confidence benefits, social benefits, special treatment benefit, satisfaction and usage intention.
Phytochemical and antibacterial studies on the aqueous extract of Eucalyptus gomphocephala DC

This work aims to find out the molecule responsible for the good activity against the strains of Pseudomonas aeruginosa reflected in a pre work done on the phytochemical study of aqueous extract of Eucalyptus gomphocephala. We have initially processed the quantitative colorimetric determination by a UV-Vis spectrophotometer for total polyphenols and flavonoids and a qualitative analysis by high performance liquid chromatography (HPLC) coupled with mass spectroscopy. Quantitative determinations of total polyphenols by the Folin-Ciocalteu reagent and flavonoids by AlCl3 method revealed the richness of this extract in total polyphenols. Qualitative analysis by HPLC / ESI-MS revealed the presence of gallic acid. This molecule was tested by the agar diffusion method and the macrodilution method in liquid medium, which showed greater activity than the aqueous extract. The results obtained in this study suggest that the gallic acid may be used in the treatment of infections caused by Pseudomonas aeruginosa .
Assessment of fatty acid composition and response surface optimization of ultrasonic-assisted extraction of phenolic compounds from Pouteria campechiana pulp

Pouteria campechiana (PC) pulp was analyzed for its fatty acid composition. Fourteen different kinds of fatty acids were found with the major fatty acids viz. palmitic acid (C16:0), oleic acid (C18:1), myristic acid (C14:0) and linolenic acid (C18:2), making up approximately 73.8 % of the total fatty acid content (TPC). An ultrasonic-assisted extraction (UAE) of the polyphenolic bioactive components in PC pulp powder were statistically optimized using the Central Composite Design (CCD). Factors that gave maximized TPC in the crude extract of PC pulp powder were assessed for factors, ratio of ethanol:water, extraction temperature and extraction time. The established optimum conditions of the CCD model with R 2 = 0.8833 were within the studied range and agreed well with the predicted values. Under an optimized condition [30 min, 35 °C and ratio of ethanol:water, 60:40 (%, v/v)], the highest TPC was 1162.80 mg GAE/100 g in comparison to the predicted 1115.06 mg GAE/100 g. High Performance Liquid Chromatography confirmed that gallic acid and its derivatives were the major components, comprising a ⁓0.03 % (w/w) of the PC pulp crude extract. Pertinently, a high recovery value in the HPLC validation data (109.84 %, R 2 = 0.9995) suggests the method was accurate.
Identification of potential diagnostic and prognostic biomarkers for prostate cancer

Prostate cancer (PCa) is one of the most common malignant tumors worldwide. The aim of the present study was to determine potential diagnostic and prognostic biomarkers for PCa. The GSE103512 dataset was downloaded, and the differentially expressed genes (DEGs) were screened. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and protein-protein interaction (PPI) analyses of DEGs were performed. The result of GO analysis suggested that the DEGs were mostly enriched in ‘carboxylic acid catabolic process’, ‘cell apoptosis’, ‘cell proliferation’ and ‘cell migration’. KEGG analysis results indicated that the DEGs were mostly concentrated in ‘metabolic pathways’, ‘ECM-receptor interaction’, the ‘PI3K-Akt pathway’ and ‘focal adhesion’. The PPI analysis results showed that Golgi membrane protein 1 (GOLM1), melanoma inhibitory activity member 3 (MIA3), ATP citrate lyase (ACLY) and G protein subunit β2 (GNB2) were the key genes in PCa, and the Module analysis revealed that they were associated with ‘ECM-receptor interaction’, ‘focal adhesion’, the ‘PI3K-Akt pathway’ and the ‘metabolic pathway’. Subsequently, the gene expression was confirmed using Gene Expression Profiling Interactive Analysis and the Human Protein Atlas. The results demonstrated that GOLM1 and ACLY expression was significantly upregulated (P<0.05) in PCa compared with that in normal tissues. Receiver operating characteristic and survival analyses were performed. The results showed that area under the curve values of these genes all exceeded 0.85, and high expression of these genes was associated with poor survival in patients with PCa. In conclusion, this study identified GOLM1 and ACLY in PCa, which may be potential diagnostic and prognostic biomarker of PCa.
The changing relationship between origins , education and destinations in the 1990 s and 2000 s

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The effects of citrate dialysate in hemodialysis on polymorphonuclear elastase interaction with tissue factor and its inhibitor.

Background This study aimed to investigate whether hemodialysis (HD) affects tissue factor (TF), tissue factor pathway inhibitor (TFPI), and polymorphonuclear elastase (PMNE) in endstage renal disease (ESRD) patients when eliminating the effects of heparin. Also, to explore the interaction of TF, TFPI, and PMNE throughout a single HD session. Methods We enrolled 57 ESRD patients who had undergone hemodialysis for >3 months as an experimental group. Plasma levels of TF, TFPI and PMNE were measured by ELISA in 24 ERSD patients on intermittent HD using low-molecular-weight heparin (LMWH) as anticoagulation (LMWH group) and 33 ESRD patients using citrate as anticoagulation (citrate group) at the start and at 1, 2 and 5 h of the HD session. Meanwhile,28 ESRD patients not on dialysis were enrolled as a control group and fasting venous blood samples were taken in the morning. Results Compared with the control group, the plasma TFPI levels of the LMWH group and the citrate group were significantly higher (P=0.000, P=0.002, respectively) under baseline conditions as well as the plasma PMNE levels (P=0.001, P=0.02, respectively), whereas TF showed no difference (P=0.186). During HD with citrate, plasma TFPI decreased slightly (P=0.012) and PMNE increased significantly (P=0.008) at 1 h. The plasma TFPI levels of the citrate group correlate with PMNE at 2 and 5 h (P=0.001, P=0.008, respectively). Conclusions ESRD patients on HD have significantly higher TFPI and PMNE levels compared to patients not on HD under baseline conditions, while TF levels were similar between the three groups. TFPI and PMNE are differently regulated, but the plasma levels correlated during HD in the citrate group. It might be possible that PMNE plays a role in anticoagulative activity through TFPI.
The Impact of Free Media on Regime Change: Evidence from Russia

Can free media become a powerful lever to make regime change possible? Are Western countries successful in exporting their values to other countries and triggering regime change abroad? I study these questions in the context of Russia in the early 90s when the Soviet Union was crumbling. In particular, I analyze the impact of Radio Liberty on the 1991 Russian presidential elections, which were the first democratic elections in the country. In order to study the effects of this American radio broadcasting from outside Russia, I use a novel empirical strategy exploiting ionospheric variation, which affects shortwave propagation over long distances, measured by NASA with the aim of obtaining a measure of radio availability in each Russian electoral district. The results show a significant effect of these broadcasts in favor of Yeltsin and a negative significant effect on communist support. Such results are robust and bolstered by a series of placebo exercises, and survey evidence. Thus, this paper documents that free media can play an important role in political processes of regime change.
Creative capability, Personality and Innovative Output at the Team Level

Despite the wide use of teams for innovative tasks and promising potential benefits of teamwork, much about the determinants of team creativity and innovativeness is still unknown. This study investigates how the team members’ personality moderates the relationship between team creative capability and innovative team output. We analyzed a total of 75 student teams that were instructed to develop innovative business ideas for their term project. While we used subjective measures for team personality, objective assessment methods were used to assess team creative capability. Unlike at the individual level, our results show that extraversion and agreeableness positively moderate the relationship between team creative capability and innovative output. Our findings highlight the important role that the social context plays in teamwork. Moreover, it shows that certain factors can have a strikingly different, or even opposite effect at the team level than they do at the individual level.
Competition, Innovation, and Regulation: Accounting for Productivity Differences

Competition, Innovation, and Regulation: Accounting for Productivity Differences Pedro Bento Doctor of Philosophy Graduate Department of Economics University of Toronto 2013 The relationships between competition, innovation, and regulation have long been studied in an attempt to understand and evaluate the effect of regulation on the wealth and growth of nations. Recent empirical work has emerged taking advantage of the still ongoing proliferation of ever more disaggregated data to shed more light on these relationships and at the same time uncover new puzzles in need of explanations. This thesis is an attempt to address the discrepancies between some of these newly discovered phenomena and current theory. In Chapter 1 I introduce an insight of Friedrich Hayek − that competition allows a thousand flowers to bloom, and discovers the best among them − into a conventional model of Schumpeterian innovation. I show how the model can account for two seemingly contradictory empirical phenomena, a positive relationship between competition and industry-level productivity growth, and an inverted-U relationship between competition and firm-level innovation. In Chapter 2 I extend the model to investigate the effects of patent protection on competition and innovation, and to understand the interaction between patent policy and product-market regulation. I calibrate the model to show that patent protection in the U.S. is depressing competition, innovation, growth, and welfare. Using patent and citation data, I further provide empirical evidence supporting the implications of the model. In Chapter 3 I investigate the impact of regulatory entry barriers to new firms on aggregate output and total factor productivity. Following recent work by Thomas J. Holmes and John J. Stevens, I extend a standard model of monopolistic competition to account for the existence of both niche markets and mass markets within industries. Calibrating the model using U.S. manufacturing data, I show this extension goes a long way towards explaining the large gap between empirical estimates of the impact of barriers to entry and the quantitative predictions of current models.
Estimation of Human Poses Categories and Physical Object Properties from Motion Trajectories

Despite the impressive advancements in people detection and tracking, safety is still a key barrier to the deployment of autonomous vehicles in urban environments [1]. For example, in non-autonomous technology, there is an implicit communication between the people crossing the street and the driver to make sure they have communicated their intent to the driver. Therefore, it is crucial for the autonomous car to infer the future intent of the pedestrian quickly. We believe that human body orientation with respect to the camera can help the intelligent unit of the car to anticipate the future movement of the pedestrians. To further improve the safety of pedestrians, it is important to recognize whether they are distracted, carrying a baby, or pushing a shopping cart. Therefore, estimating the finegrained 3D pose, i.e. (x,y,z)-coordinates of the body joints provides additional information for decision-making units of driverless cars. In this dissertation, we have proposed a deep learning-based solution to classify the categorized body orientation in still images. We have also proposed an efficient framework based on our body orientation classification scheme to estimate human 3D pose in monocular RGB images. Furthermore, we have utilized the dynamics of human motion to infer the body orientation in image sequences. To achieve this, we employ a recurrent neural network model
Model-based appraisal of the comparative impact of minimum unit pricing and taxation policies in Scotland. An adaptation of the Sheffield alcohol policy model version 3.

This entry is our analysis of a study considered particularly relevant to improving outcomes from drug or alcohol interventions in the UK. The original study was not published by Findings; click Title to order a copy. Links to other documents. Hover over for notes. C lick to highlight passage referred to. Unfold extra text . The Summary conveys the findings and views expressed in the study. Below is a commentary from Drug and Alcohol Findings.
Surface features on Sahara soil dust particles made visible by atomic force microscope (AFM) phase images

Abstract. We show that atomic force microscopy (AFM) phase images can reveal surface features of soil dust particles, which are not evident using other microscopic methods. The non-contact AFM method is able to resolve topographical structures in the nanometer range as well as to uncover repulsive atomic forces and attractive van der Waals' forces, and thus gives insight to surface properties. Though the method does not allow quantitative assignment in terms of chemical compound description, it clearly shows deposits of distinguishable material on the surface. We apply this technique to dust aerosol particles from the Sahara collected over the Atlantic Ocean and describe micro-features on the surfaces of such particles.
Biomechanical modelling of the upper limb for robotics-based orthotic tremor suppression

Orthotic management has been proposed as an interesting alternative to current tremor management methods. It is expected that an improvement on manipulative function can be obtained by reducing the tremorous motion associated with some neurological disorders. For this to be possible, a sound modelling of the tremor and the biomechanical characteristics of the upper limb is required. This paper proposes a model for both the tremor motion and the biomechanical parameters of the upper limb. Based on these models and on a prototype of a robotics-based active orthosis two tremor reduction strategies are proposed.
Need for Closure Relations with Authoritarianism, Conservative Beliefs and Racism: The impact of urgency and permanence tendencies

Previous research has shown that Right-Wing Authoritarianism and Social Dominance Orientation mediate the relationship between need for closure (NFC) and conservative beliefs and racism. These results did not apply to the NFC facet scale Decisiveness. However, the Decisiveness scale has been reported to have a questionable validity, and the recent development of a new scale inspired a reassessment of these previous studies. The present results obtained in two Flemish undergraduate samples (N = 164 and 162) show that both the new Decisiveness scale and the other NFC facet scales correlate with conservatism and racism, and that both these relationships are mediated by social attitudes (i.e., RWA and SDO). In the discussion it is argued that not only permanence needs, but also the urgency need reflected in Decisiveness, are important in order to understand right-wing ideology.
Seasonal Variation of Saccharides and Furfural in Atmospheric Aerosols at a Semi-Urban Site

Seasonal variability of daily particle mass and saccharides and furfural concentrations in atmospheric particulate matter in both coarse aerosols (diameter > 2.4 µm) and fine aerosols (diameter < 2.4 µm) was determined for a semi-urban area in the United Kingdom. Saccharides, which include levoglucosan, and furfural are derived from biomass burning and contribute to aerosol composition. This study examined the potential of saccharides and furfural as tracers for biomass combustion. High saccharide concentrations were observed in the autumn, but they did not show a high correlation with potassium expected in biomass smoke. These results may imply that the high saccharide concentrations are derived not only from biomass burning sources, but also from non-combustion sources, such as leaf decay. Significant seasonal variations were observed for saccharides and furfural species in fine atmospheric aerosols. Furfural is likely to be oxidized quickly in comparison with saccharides, so while saccharides such as levoglucosan are known to be fairly stable in the atmosphere, furfural could be transformed. Trajectory and factor analysis suggest that the saccharides may result from long-range transport, while furfural may be more influenced by the local sources possibly because of its shorter lifetime. This result may suggest it could give clues as to the age of biomass smoke.