Miracle-dz/UniFAR-FTUs huggingface dataset:
Cross-Talk Categorisations in Data-Driven Models of Signalling Networks: A System-Level View

Data-driven models of signalling networks are becoming increasingly important in systems biology in order to reflect the dynamic patterns of signalling activities in a context-specific manner. State-of-the-art approaches for categorising and detecting signalling cross-talks may not be suitable for such models since they rely on static topologies of cell signalling networks and prior biological knowledge. In this chapter, we review state-of-the-art approaches that categorise all possible cross-talks in signalling networks and propose a novel categorisation specific to data-driven network models. Considering such models as undirected networks, we propose two categories of signalling cross-talks between any two given signalling path ways. In a Type-I cross-talk, a signalling link { g i , g j } connects two signalling pathways, where g i and g j are signalling nodes that belong to two distinct pathways. In a Type-II cross-talk, two signalling links { g i , g j } and { g j , g k } meet at the intersection of two signalling pathways at a shared signalling node g j . We compared our categorisation approach with others and found that all the types of cross-talks defined by those approaches can be mapped to Type-I and Type-II cross-talks when underlying signalling activities are considered as non-causal rela - tionships. Next, we provided a simple but intuitive algorithm called XDaMoSiN (cross-talks in data-driven models of signalling networks) to detect both Type-I and Type-II cross-talks between any two given signalling pathways in a data-driven network model. By detecting cross-talks in such network models, our approach can be used to analyse and decipher latent mechanisms of various cell phenotypes, such as cancer or acquired drug resistance, that may evolve due to the highly adaptable and dynamic nature of signal transduction networks.
Statistical Analysis of Microseismic Event Locations And Magnitudes, And Their Geomechanical Implications

Summary It is often postulated that many naturally occurring processes are characterized by power-law distributions and exhibit thus fractal properties. Two commonly estimated fractal dimensions in earthquake and rockfracture experiments are the so-called b and D values, representing statistical characteristics in the distribution of magnitude sizes (b) and spatial hypocenter locations (D), respectively. We analysed microseismic events recorded in a heavy-oil field drained using cyclic steam stimulation. We infer that the measured temporal variation in fractal dimension b is most likely due to significant changes in the local stress regime over an 8-month period, ranging from extensional faulting (fractures opening), via a strike-slip regime, to finally compressive faulting (fractures closing). The fracture dimension D indicates spatially predominantly planar to spherical hypocenter distributions in the first and last stage, but changes to a more linear to planar spatial pattern in the intermediate strike-slip regime when the vertical stress is anticipated to be in between the maximum and minimum horizontal stresses.
An Enhanced Learning Style Index: Implementation and Integration into an Intelligent and Adaptive e-Learning System

Advances and accessibility of Internet services around the world have transformed the traditional classroom learning into web-based e-learning systems. In recent years, designing adaptive e-learning systems has become one of striking topic of discussions in the literature. Additionally, integrating such systems with intelligent and adaptive systems that can measure the learning preferences of the user can enable learners to obtain the most suitable learning objects that might be matched with their learning styles. Moreover, even in the classroom teaching, knowing the learning styles of students can also help teachers to adopt appropriate learning materials for efficient learning. This paper is concerned with the study, implementation, and application of a web-based learning style index. The paper also described a case study on the integration of the learning style index into an adaptive and intelligent e-learning system.
Enterprise Resource Planning systems in healthcare sector

The purpose of this thesis work was to find out how Enterprise Resource Planning systems (ERP) have been used in the healthcare sector and how ERP systems could be used to improve the healthcare services. Some findings were discussed and recommendations were made about how ERP systems could be used in the healthcare sector. The thesis was written using literature review research method. Literature is the study that involves gathering and studying earlier knowledge about a specific topic of interest. Various documents were studied regarding the use of ERP in healthcare institutions. Literature review was used to show how ERP systems have been used previously in some healthcare institutions and organisations. Based on the literature used in this study, ERP systems have not been widely reported to have been used in the healthcare sector. On the other hand, other findings showed that ERP systems could be used in the healthcare sector to improve their quality of services. Therefore, if ERP systems were successfully implemented in a healthcare organisations, it was suggested that it would bring about significant change especially in finance, human resources, and capacity, revenue and admission resource functions. ERP systems could also improve profitability and services in the healthcare organisations.
Non‐Discriminatory Trade Policies in Panel Structural Gravity Models: Evidence from Monte Carlo Simulations

This paper provides Monte Carlo simulation evidence on the performance of methods used for identifying the effects of non-discriminatory trade policy (NDTP) variables in structural gravity models (SGM). The benchmarked methods include the identification strategy of Heid, Larch & Yotov (2015) that utilizes data on intra-national trade flows and three other methods that do not rely on this data. Results indicate that under the assumption of a data generating process that conforms with SGM theory, data on intra-national trade flows is required for identification. The bias of the three methods that do not utilize this data, is a result of the correlation between the NDTP variable and the collinear fixed effects. The MC results and an empirical application demonstrate the severity of this bias in methods that have been applied in previous empirical research.
User Intention Modelling and Intention Recognition in Games using World State Indicators

The work presented in this thesis focuses on two main areas. First we develop a model of user intentions in games. That model defines various concepts related to player behaviour in (computer) games and interactive environments, such as actions, goals, plans and intentions. Additionally our model shows the relationship between those concepts and explains how they affect each other. The purpose of the model presented here is twofold. One the one hand it provides common definitions for research in the area of user behaviour modelling in games. On the other hand this model also forms the underlying basis for the remainder of our work presented here. The second main area of focus is intention recognition in games. We propose a novel approach which is solely based on monitoring the changes in the game world state, instead of observing player actions. We evaluate current approaches to plan and intention recognition, their strengths and weaknesses. We further compare existing research on intention recognition to our approach and evaluate the performance of our prototype system iRecognise in the context of a case study using the board game RISK. A range of experiments that were carried out demonstrates that our proposed approach to intention recognition is valid and therefore verifies its intention recognition capabilities in the context of games.
Influence of the nozzle-exit boundary-layer thickness on the flow and acoustic fields of initially laminar jets

Round jets originating from a pipe nozzle are computed by Large-Eddy Simulations (LES) to investigate the effects of the nozzle-exit conditions on the flow and sound fields of initially laminar jets. The jets are at Mach number 0.9 and Reynolds number 10 5 , and exhibit exit boundary layers characterized by Blasius velocity profiles, maximum rootmean-square axial velocity fluctuations between 0.2% and 1.9% of the jet velocity, and momentum thicknesses varying from 0.003 to 0.023 times the jet radius. The far-field noise is determined from the LES data on a cylindrical surface by solving the acoustic equations. Jets with thinner boundary layer develop earlier but at a slower rate, yielding longer potential cores and lower centerline turbulent intensities comparing well with measurements at high Reynolds numbers. In all jets the shear-layer transition is dominated by vortex rolling-ups and pairings, which generate strong components in the noise spectra. Just adding random disturbances of low magnitude in the nozzle however leads to weaker rolling-up and pairing processes, thus significantly reducing their contributions to the sound field. This high sensitivity to the initial conditions is in good agreement with experimental observations.
Distinguished Liftings and the André-oort Conjecture

In this paper we study liftings of affine varieties from finite fields to number fields, such that the lifted varieties contain specified "canonical" lifts of points. If this canonical lifting of points corresponds to the Deuring-Serre-Tate lift of j-invariants of ordinary elliptic curves, then the resulting lifting problem is closely related to the André-Oort conjecture. We explore this connection, prove some results related to the André-Oort conjecture, and then apply these results together with other known special cases of the conjecture to our lifting problems.
Far-Eastern grey voles (Rodentia: Cricetidae: Alexandromys ) from Bolshoi Shantar Island

Ognev (1929) assigned grey voles from Bolshoi Shantar Island to the root vole, separating them in a subspecies Microtus (= Alexandromys) oeconomus shantaricus Ognev, 1929. However, the shape of first lower molar anterior cup does not allow attributing of these specimens to root vole. Among FarEastern grey voles inhabiting the neighboring mainland, Gromov’s vole (Alexandromys gromovi Vorontsov et al., 1988) is listed. The attribution of the voles from Shantar Island to the latter species is confirmed by the similarity in fur coloration, exterior, occlusal surface pattern of m1, and geographic proximity. The final conclusion could be made after the molecular analysis of the Far-Eastern grey voles from Bolshoi Shantar Island and mainland. In the event of their identity according to the priority rule, both should get the name Alexandromys shantaricus (Ognev, 1929), and A. gromovi should be considered as a junior synonym of the latter.
Microfoundations of Organizational Paradox: The Problem Is How We Think about the Problem

Competing tensions and demands pervade our work lives. Accumulating research examines organizational and leadership approaches to leveraging these tensions. But what about individuals within firms? Although early paradox theory built upon micro-level insights from psychology and philosophy to understand the nature and management of varied competing demands, corresponding empirical studies are rare, offering scarce insights into why some individuals thrive with tensions while others struggle. In response, we contribute to the microfoundations of organizational paradox with a theoretical model and robust measures that help unpack individuals' varied approaches to tensions. Following rigorous scale development in Study 1, including samples from the US, UK, Israel, and China, we test our model in a large firm in the US using quantitative and qualitative methods. We identify resource scarcity (i.e. limited time and funding) as a source of tensions. We also demonstrate that a paradox mindset - the extent to which one is accepting of and energized by tensions - can help individuals leverage them to improve in-role job performance and innovation. Our results highlight paradox mindset as a key to unlocking the potential of everyday tensions.
Age at Migration, Language and Fertility Patterns Among Migrants to Canada

This paper explores the fertility decisions of Canadian immigrants using a 20 percent sample of the Canadian Census of Population for the years 1991 through 2006. We focus on those individuals that migrated as children and on their age at arrival to assess their process of assimilation in terms of fertility. Our analysis does not show any sharp discontinuity in fertility by age at migration as sometimes observed on education or labor market outcomes. Instead, there is an inverted U shape relationship between age of migration and immigrant fertility, with those migrating in their late teens having the highest fertility rates when compared to natives. This pattern appears among migrants from all origins – although their fertility levels differ. Results suggests that language acquisition is not a key mechanism through which age at immigration affects fertility – fertility behavior of immigrants with an official mother tongue also differs from that of natives. Rather fertility assimilation seems to be associated with education decisions. College graduates arriving to Canada anytime before adulthood behave as their native peers.
Affect Analysis of Radical Contents on Web Forums Using SentiWordNet

The internet has become a major tool for communication, training, fundraising, media operations, and recruitment, and these processes often use web forums. This paper presents a model that was built using SentiWordNet, WordNet and NLTK to analyze selected web forums that included radical content. SentiWordNet is a lexical resource for supporting opinion mining by assigning a positivity score and a negativity score to each WordNet. The approaches of the model measure and identify sentiment polarity and affect the intensity of that which appears in the web forum. The results show that SentiWordNet can be used for analyzing sentences that appear in web forums.
Magnetic field effects on the reaction of a triplet-born radical pair consisting of two equivalent sulphur-centre radicals under ultrahigh fields of up to 28T

A water-cooled pulsed magnet having a room temperature bore of diameter 20mm was constructed. Magnetic field effects on a triplet sensitization reaction of p-aminophenyl disulfide (APDS) with xanthone (Xn) were studied in a sodium dodecylsulfate (SDS) micellar solution by a nanosecond laser flash photolysis technique under ultrahigh magnetic fields of up to 28T. Upon irradiation of the SDS micellar solution containing APDS and Xn, triplet radical pairs of p-aminophenylthiyl radicals were generated. The yield of the escaped p-aminophenylthiyl radical was found to decrease by 6 2% at 28T compared with that at 0 T.
Inflow of Educational Capital, Intermediation and Informal Sector

Informal sector comprising of unrecorded, unregistered activities in developing economies of the world is a common feature at present scenario. Existence of such sectors in an economy clearly reflects the weakness of government to provide employment opportunities for all. Such informal activities are again facilitated through the extortionists who are bribed by the informal producers. Under such an economic structure the paper investigates into the effect of inflow of educational capital on endogenously determined factor prices and output of formal and informal sectors of an economy.Though there is no change in the factor earnings, an inflow of educational capital gives a boost to the output of skilled sector irrespective of any factor intensity assumption. Output of formal sector also expands depending on the factor intensity assumption but quite interestingly no change is seen in the output of informal sector. Inflow of educational capital leads to dampening of intermediation activities in an economy which is a positive result and this can help the policy makers to choose the right path of development.
The Ramsey Steady State under Optimal Monetary and Fiscal Policy for Small Open Economies

This paper describes the steady state allocations and prices for small open economies under optimal monetary and fiscal policy in a medium-scale DSGE model. The model encompasses the most common nominal and real rigidities normally found in the literature in a single framework. The Ramsey solution for the optimal monetary and fiscal policy is computed for a large space of the parameter set and for different combinations of fiscal policy instruments. Results show that, despite the large number of frictions in the model, optimal fiscal policy follows the usual results in the literature, with high taxes over labor income and low taxes (subsidies) on capital income. On the other hand, the choice of fiscal policy instruments is critical to characterize optimal monetary policy. Frictions associated with the small open economy framework do not play a critical role in characterizing the Ramsey planner's policy choices
Investigation of the Effects of the Company’s Capabilities on Attracting External Collaboration and Company’s Performance

One of the major tasks of the managers is achieving the coordination between the company and external environment to enhance the company’s financial performance. This research aimed to focus on attracting external effective collaboration, and first investigate effects of three capabilities of innovation, information, and relational on it, and then examine the effect of this factor on market and financial performance of the studied companies. At first, the variables of innovation capability, information capability, relational capability, company’s financial performance, company’s market performance, and also attracting external effective collaboration were studied in the review of literature. Then, a questionnaire was designed and distributed among the companies that were participated in Tehran international exhibitions and collected data was analyzed by correlation coefficient tests and structural equation modeling. To analyze the data Excel, SPSS, and Amos software were used. Findings showed that the relational, information, and innovation capabilities of company can increase companies financial and market performance through attracting external collaboration.
FACTORS AFFECTING UTILIZATION OF ELECTRONIC TAX REGISTERS (ETRs) IN SMALL & MEDIUM ENTREPRIES IN KENYA: A CASE OF NAIROBI CBD

Automation facilitates the clearance of legitimate trade, improves the efficiency of taxation controls and secures revenue collection. This study aimed at evaluating the factors affecting utilization of electronic tax registers among small and medium enterprises in Kenya. Stratified random sampling was used to select a 10% sample size from each of the strata amounting to 78 respondents. Data was analyzed using mean, percentage, standard deviation and correlation analysis. The study concluded that there is little training offered on the use of ETR machines and technicians are the major source of knowledge on the use of ETR machines. To boost compliance to tax laws and increase efficiency in filing of VAT returns, it is recommended that government provides proper training on the utilization of ETRs. The study further concluded that ETR machines are an additional cost to SMEs. To boost compliance, it is recommended that government provides SMEs with ETR machines at no charge. Further, government should carry out regular checks on ETRs so as to avoid manipulation by fraudulent taxpayers. In so doing, taxation will be considered fair to all and this will no doubt improve compliance levels.
Welfare costs due to economic fluctuations according to different model setups

The topic related to the costs in terms of welfare generated by economic fluctuations was highly debated in the macroeconomic research. Lucas opened the debate in this regard in a seminal paper in 1987 by asking what will be the gain in terms of consumption units by eliminating the economic fluctuations. Some weak assumptions raised several criticisms on the Lucas (1987) work. Reis (2009) proposed a robust approach by assuming the data generating process of consumption is defined through a persistent autoregressive approach without drift. The current paper aims at calculating the welfare cost generating by fluctuations in Romanian economy. As compared with Alupoaiei (2013), here was investigated the relationship between welfare costs and different scenarios regarding the level of consumption volatility and the risk aversion parameter. In that sense were constructed surfaces to emphasize these connections.
Lexical cohesion: corpus linguistic theory and its application in English language teaching

Cohesion is generally described with regard to two broad categories: "grammatical cohesion" and "lexical cohesion". These categories reflect a view on language that treats grammar and lexis along separate lines. Language teaching textbooks on cohesion often follow this division. In contrast, a corpus theoretical approach to the description of English prioritises lexis and does not assume that lexical and grammatical phenomena can be clearly distinguished. Consequently, cohesion can be seen in a new light: cohesion is created by interlocking lexico-grammatical patterns and overlapping lexical items. A corpus theoretical approach to cohesion has important implications for English language teaching. The article looks at difficulties of teaching cohesion, shows links between communicative approaches to ELT and corpus linguistics, and suggests practical applications of corpus theoretical concepts.
An X-ray/SDSS sample

Multi-phase fast, massive outflows have been postulated to play a crucial role in galaxy evolution. The aim of this work is to constrain the nature and the fraction of outflowing gas in AGNs, as well as the nuclear conditions possibly at the origin of such phenomena. We present a large spectroscopic sample of X-ray detected SDSS AGNs at z <0.8. X-ray and optical flux ratio diagnostics are used to select the sample. Physical and kinematic characterisation are derived re-analysing optical (and X-ray) spectra. We derive the incidence of ionised (~40%) and atomic (< 1%) outflows covering a wide range of AGN bolometric luminosity, from 10^42 to 10^46 erg/s. We also derive bolometric luminosities and X-ray bolometric corrections to test whether the presence of outflows is associated with an X-ray loudness, as suggested by our recent results obtained studying high-z QSOs. We study the relations between the outflow velocity inferred from [O III] kinematic analysis and different AGN power tracers, such as black hole mass (M_BH), [O III] and X-ray luminosity. We show a well defined positive trend between outflow velocity and L_X, for the first time over a range of 5 order of magnitudes. Overall, we find that in the QSO-luminosity regime and at M_BH>10^8 Msun the fraction of AGNs with outflows becomes >50%. Finally, we discuss our results about X-ray bolometric corrections and outflow incidence in cold and ionised phases in the context of an evolutionary sequence allowing two distinct stages for the feedback phase: an initial stage characterized by X-ray/optical obscured AGNs in which the atomic gas is still present in the ISM and the outflow processes involve all the gas components, and a later stage associated with unobscured AGNs, which line of sight has been cleaned and the cold components have been heated or exhausted.