Miracle-dz/UniFAR-FTUs huggingface dataset:
Partisan Macroeconomic Preferences and the Diversionary Use of Force in The United Kingdom 1971-2000

This thesis explores the diversionary use of force in the context of The United Kingdom. Building on theory that suggests that diversionary tactics are most likely when domestic turmoil affects the core constituents of the incumbent party, I operationalize domestic turmoil as macroeconomic conditions that disfavor the core constituents of the incumbent party and test its effects on the initiation, or threat of, force towards other countries through logistic regression models and time-series data from The United Kingdom, 1971-2000. I find strong support for the hypothesis that high inflation during times of Conservative government increases the likelihood of initiation of force but fail to establish a causal relationship between high unemployment during times of Labour government and the initiation of force.
Identification and determination of characteristics of endophytes from rice plants and their role in biocontrol of bacterial blight caused by Xanthomonas oryzae pv. oryzae

Summary Endophytic bacteria of rice plants (Oryza sativa L.) from eight different cultivars were screened for their ability in inducing disease symptoms, plant growth promotion and antagonistic activity against Xanthomonas oryzae pv. oryzae. Out of the 63 whole isolates, five were plant pathogens. Based on phenotypic characteristics and 16S rDNA sequence analysis, these were identified as Pseudomonas oryzihabitans, P. fulva, Pantoea ananatis, Pantoea sp. , Cellulomonas sp. Four out of the 63 isolates behaved as potentially good plant growth-promoting and biocontrol agents. These were identified as Bacillus sp. , B. subtilis, Pseudomonas putida and Enterobacter sp. This is the first report of pathogenic and endophytic bacteria from rice grown in field conditions in North of Iran.
The Effects of Credit Management on Profitability of Manufacturing Firm in Nigeria. (A Study of Selected Companies in Nigerian Stock Exchange)

This study examines the effect of credit management on the profitability of manufacturing firm using five quoted firm in Nigeria stock exchange. The intent of the study was to determine whether credit management mechanism: credit policy, liquidity management and debtors’ turnover have effect on profitability of manufacturing firm measured by return on assets (ROA). Data was sourced from annual report of selected companies. It provides empirical evidence for five (5) manufacturing firm in Nigeria for a period of 2010 to 2014. In other to achieve this objective data collected was analyse using descriptive statistics and Jarque-Bera statistics to test for normality of variables. Pearson correlation matrix was used to check for multi-co-linearity presence in a model and to explore the relationship between explanatory variable and the dependent variable. The pooled multiple regression is employed to test the hypothesis. The result reveals that credit policy and liquidity management has significant negative relationship to Return on Assets while debtors’ turnover has significant positive effect to Return on Assets. The researcher recommended that adequate credit policy must be employ by the sales department of the firm for effective operations. Keywords: credit policy, firm profitability, liquidity management, debtors’ turnover
Death in Veneto? European banking union and the structural power of large banks

ABSTRACT We argue that the evolving preferences and power resources of large cross-border banks help explain the crucial political moves to European banking union. As they became larger and more European, these banks benefited from the supranationalization of supervision through reduced compliance costs and the effective opening of European markets. The political divergence in the interests of large international banks and small national ones eventually caused the German and the French governments’ change of position in intergovernmental bargaining. Once in place, banking union accelerated balance sheet consolidation to the benefit of large banks that took over their weaker competitors.
Robust, high-performance n-type organic semiconductors

A state-of-the-art organic semiconductor that has high effective electron mobility and outstanding robustness was developed. Organic semiconductors (OSCs) are important active materials for the fabrication of next-generation organic-based electronics. However, the development of n-type OSCs lags behind that of p-type OSCs in terms of charge-carrier mobility and environmental stability. This is due to the absence of molecular designs that satisfy the requirements. The present study describes the design and synthesis of n-type OSCs based on challenging molecular features involving a π-electron core containing electronegative N atoms and substituents. The unique π-electron system simultaneously reinforces both electronic and structural interactions. The current n-type OSCs exhibit high electron mobilities with high reliability, atmospheric stability, and robustness against environmental and heat stresses and are superior to other existing n-type OSCs. This molecular design represents a rational strategy for the development of high-end organic-based electronics.
Low-loss barium ferrite quasi-single-crystals for microwave application

Barium hexaferrites (BaFe12O19) are especially useful for microwave/millimeter devices. Due to large ferromagnetic resonance (FMR) loss (linewidths >2kOe), traditional compacts of polycrystalline Ba ferrites indeed hinder the utilization of the materials for practical devices. The present experiment demonstrates that the quasi-single-crystal Ba ferrite disks can be fabricated by a single solid-state reaction technique without liquid phase participation, combining with a processing of alignment for the ferrite seed crystals. The ferrite bulks show a pure hexagonal Ba ferrite phase, an expected 4πMs of 4.48kG, and coercivity of 10∼20Oe along the c axis, similar to the results of a typical single crystal. The FMR measurement indicates that the sample yields an anisotropy field of 16.0kOe and a linewidth of about 300Oe at U-band frequencies. Although the linewidth is broader than ideal Ba ferrite single crystals (ΔH 2kOe), traditional compacts of polycrystalline Ba ferrites indeed hinder the utilization of the materials for practical devices. The present experiment demonstrates that the quasi-single-crystal Ba ferrite disks can be fabricated by a single solid-state reaction technique without liquid phase participation, combining with a processing of alignment for the ferrite seed crystals. The ferrite bulks show a pure hexagonal Ba ferrite phase, an expected 4πMs of 4.48kG, and coercivity of 10∼20Oe along the c axis, similar to the results of a typical single crystal. The FMR measurement indicates that the sample yields an anisotropy field of 16.0kOe and a linewidth of about 300Oe at U-band frequencies. Although the linewidth is broader than ideal Ba ferrite single crystals (ΔH<100Oe), it may be possible to reduce to 100Oe by eliminating pores, cracks, local grain bounda.
A Simplified Bubble Nucleation, Growth and Coalescence Model for Coke Production Process

Coke production process, which involves gas generation, cross-linking, gas foaming as well as solidification phenomena, is extremely complex and is difficult to model them without simplification. In this study, a simple phenomenological model was developed based on a gas foaming simulation model of polymer foaming, which enabled us to simulate the number density of bubbles and their distributed size. The model was extended to account their kinetics of bubble nucleation, growth and coalescence in nonisothermal chemical reactions of gas generation and cross-linking. The bubbles size and morphology obtained from the numerical simulation of two different coals agreed with the pictures of the experiment qualitatively. Five different coals were investigated to understand the relationship between the kinetic and final morphology of coke.
High statistics lattice study of stress tensor correlators in pure 
SU(3)
 gauge theory

We compute the Euclidean correlators of the stress tensor in pure SU(3) Yang-Mills theory at finite temperature at zero and finite spatial momenta with lattice simulations. We perform continuum extrapolations using Nτ=10, 12, 16, 20 lattices with renormalized anisotropy 2. We use these correlators to estimate the shear viscosity of the gluon plasma in the deconfined phase. For T=1.5Tc, we estimate η/s=0.17(2) using an ansatz motivated by hydrodynamics.
Self-Balanced 13-Level Inverter Based on Switched Capacitor and Hybrid PWM Algorithm

A 13-level inverter based on switched-capaci-tor technique is proposed in this article. It consists of ten transistors, four diodes, and four capacitors with self-balanced voltages. The ten transistors form two H-bridges and one half-bridge resulting in simple structure and easy design of gate drivers. With a hybrid of level-shifted and phase-shifted pulsewidth modulation algorithm, voltage ripples of capacitors and low harmonic components of output voltage are suppressed simultaneously. Compared with the existing solutions, the proposed 13-level inverter has a simpler structure and the lower cost per level. Experimental results demonstrate that the proposed inverter has the advantages of high boosting factor, self-balanced capacitor voltages, low harmonics, and high efficiency, and the maximum efficiency is up to 97.2%.
Biofumigation potential of brassicas. II. Effect of environment and ontogeny on glucosinolate production and implications for screening

Biofumigation refers to the suppression of soil-borne pests and pathogens by biocidal compounds released by Brassicaceous green manure and rotation crops when glucosinolates (GSLs) in their tissues are hydrolysed. We investigated the effect of environment and ontogeny on the GSL production, and thus biofumigation potential, of eight entries from five Brassica species. The environments included autumn and spring sown field plots (FA and FS) and potted plants grown under ambient conditions (PAM) or in a temperature controlled glasshouse at 20 °C/12 °C (PTC). GSL concentration was measured in the root and shoot tissue at buds-raised, flowering and maturity. Of particular interest was the suitability of the pot-grown plants for screening large numbers of brassicas for GSL production. The type of GSLs present in the tissues and their relative proportions remained relatively constant across environments and at different growth stages, with the exception of an increase in indolyl GSLs in the FS environment suspected of being induced by insect attack. Total GSL concentration generally declined from buds-raised to flowering in all environments, and was lowest at maturity. The exceptions were B. campestris, which had higher GSL concentration at flowering than at buds-raised, and the PTC environment in which most species also showed an increase at flowering. Despite GSL types and their proportions remaining relatively constant, the total GSL concentration in the root and shoot tissue of all entries varied significantly with environment (3-10-fold) and was generally ranked FS>PAM>FA>PTC. Interactions between species and environments meant that the ranking of the Brassica entries for total shoot and root GSL concentration changed with environment. However within three entries from B. napus, the ranking was consistent across the environments. The added effect of environment on phenological development and biomass production further influenced GSL production (the product of GSL concentration and biomass) on a ground area basis. The results suggest that glasshouse environments can be used to determine the types and proportions of GSLs present, and to rank entries within, but not between species for the total concentration in the tissues. However the influence of the environment on both GSL concentration and biomass production suggests that an accurate estimate of GSL production on a ground area basis to assess biofumigation potential will require measurement in the target environment.
S-PASS/ATCA: a window on the magnetic universe in the Southern hemisphere

We present S-PASS/ATCA, the first wide-band radio polarimetry survey of compact sources in the southern sky. We describe how we selected targets for observations with the Australia Telescope Compact Array (ATCA) in the 16 cm band (1.3 - 3.1 GHz), our observing and calibration strategy, how we analysed the data, and how we tested the quality of the data. The data are made publicly available. The survey contains on average one source per five square degrees and has an angular resolution at 2.2 GHz of ~ 2'x1'. Sources with |RM|s > 150 rad m-2 are seen towards the Galactic plane and bright Hii regions, but are rare elsewhere on the sky. Sightlines that are separated by up to 3' show very similar RMs. Based on this observation, we argue that the Galactic foreground is the dominant contributor to RM, confirming previous results, and that the sources must have very simple distributions of Faraday-rotating and synchrotron-emitting media. Many sources that emit at a single RM have a spectral index in linear polarization that is (very) different from the spectral index in Stokes I. Analysing ratios of flux densities Q/I and U/I (to correct for spectral index effects) then leads to erroneous results. About 80 per cent of sightlines in our survey are dominated by emission at only one RM. Therefore, RMs that were determined previously from narrow-band observations at these frequencies are still safe to use.
Listening to the appeal from the wild

Fashion in science is like in other domains, it is strongly influenced by what we would call nowadays “influencers” that set the scene to start a new trend. In this sense, the “Vervet Monkey Alarm Calls” paper was an “influencer” and gave to many of the younger generation the strength to embark in the study of animal cognition in the wild. The very precise experimental procedures adopted in the paper, eliminating step-by-step the alternatives and finishing by proposing fascinating new insights into the “Monkey Mind” has enthralled cohorts of researchers and provided strong support for two propositions: First, you can do cognitive research on wild animals, and second, monkeys are smarter than you think! However, influencers are not always strong enough to change the field and, in my opinion, animal cognition research would greatly profit from a renewed interest in the approach pioneered by the “Vervet Monkey Alarm Call. ”
Focusing of electromagnetic waves into a dielectric slab. II. Numerical results

Based on existing exact and asymptotic Kirchhoff solutions for focused electromagnetic fields inside a dielectric slab we present numerical comparisons between them also for the special cases of focusing through a single interface or in a single medium. These comparisons show that the exact and asymptotic Kirchhoff solutions for focusing in a single medium or through a single interface agree well, except at observation points near to the interface while a small difference between the two solutions for the focused electrical field inside a dielectric slab is observed, especially at observation points near to one of the interfaces. This difference is believed to be due to contributions from surface waves, which are not accounted for in the asymptotic Kirchhoff solutions. At low Fresnel numbers focal shift phenomena are observed in all three cases.
Crowd-sourcing structure-from- motion data for terrain modelling in a real-world disaster scenario: A proof of concept

Structure-from-motion (SfM) photogrammetry techniques are now widely available to generate digital terrain models (DTMs) from optical imagery, providing an alternative to costlier options such as LiDAR or satellite surveys. SfM could be a useful tool in hazard studies because its minimal cost makes it accessible even in developing regions and its speed of use can provide updated data rapidly in hazard-prone regions. Our study is designed to assess whether crowd-sourced SfM data is comparable to an industry standard LiDAR dataset, demonstrating potential real-world use of SfM if employed for disaster risk reduction purposes. Three groups with variable SfM knowledge utilized 16 different camera models, including four camera phones, to collect 1001 total photos in one hour of data collection. Datasets collected by each group were processed using VisualSFM, and the point densities, accuracies and distributions of points in the resultant point clouds (DTM skeletons) were compared. Our results show that the point clouds are resilient to inconsistency in users’ SfM knowledge: crowd-sourced data collected by a moderately informed general public yields topography results comparable in data density and accuracy to those produced with data collected by highly-informed SfM users or experts using LiDAR. This means that in a real-world scenario involving participants with a diverse range of expertise, topography models could be produced from crowd-sourced data quite rapidly and to a very high standard. This could be beneficial to disaster risk reduction as a relatively quick, simple and low-cost method to attain rapidly updated knowledge of terrain attributes, useful for the prediction and mitigation of many natural hazards.
Deep Convolutional LSTM Network-based Traffic Matrix Prediction with Partial Information

Accurate prediction of the future network traffic plays an important role in various network problems (e.g. traffic engineering, capacity planning, quality of service provisioning, etc.). However, the modern network communication is extremely complicated and dynamic, which makes the tasks of modeling and predicting the network behavior very difficult. To this end, a common approach is to apply the traditional time series prediction techniques such as Autoregressive Integrated Moving Average or Linear Regression. Besides that, there are some studies exploiting Deep Learning techniques such as Restricted Boltzmann Machine or Recurrent Neural Network (RNN) to estimate the traffic volume. Although the prediction accuracy largely depends on the amount of historical data, measuring all the network traffic is impossible or impractical due to the monitoring resources constraints as well as the dynamics of temporal/spatial fluctuations of the traffic. Thus, the state-of-the-art proposals reveal poor performance regarding the traffic inference when lacking ground-truth input.In this paper, we propose a highly accurate traffic prediction algorithm by leveraging the Convolutional LSTM network (ConvLSTM), which is the integrated model of Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) network, for spatiotemporal modeling and estimating the future network traffic. We also propose a technique which exploits the RNN to correct the imprecise data in the input. To evaluate the proposed algorithm, we conduct extensive experiments using the Abilene dataset which contains the real network traffic trace. The experiment results show that our proposed approach outperforms the existing algorithms in terms of several metrics including error ratio, root mean square error, and coefficient of determination, in both one-step-ahead and multi-step-ahead prediction with partial information.
Output-Output Correspondence via Agreement by Projection*

This paper proposes unifying the independently developed models of Output-Output Correspondence (OO-Corr) for morphophonology and Agreement by Projection (ABP) for phonology, both of which formalize the insight that linguistic units which are similar are intimately connected, a connection which fosters further similarity. I refer to this as OO-Corr via ABP. Agreement by Projection is a recent proposal in Hansson (2014) coming out of the Agreement by Correspondence literature, which states that constraints can enforce agreement of a feature across a ‘projection’ of segments. The central innovation of this paper is that I extend this notion of ‘projection’ to sets of outputs (e.g. outputs of a paradigm) over which agreement is enforced (e.g. with respect to root shape, word shape, etc.). I illustrate the OO-Corr via ABP model for different types of output-tooutput similarity, including paradigmatic and transparadigmatic OO-Corr types involving networks of output forms. Finally, I argue that OO-Corr via ABP unites two distinct cases in the paradigm uniformity literature: ‘majority rules effects’ seen in McCarthy’s (2005) work on Optimal Paradigms, and ‘least marked effects’ seen in Steriade’s (1999, 2008) work on ‘lexical conservatism’. In total, I make the following claims. First, OO-Corr is split into two types of outputs: matrix outputs which correspond to the primary input-output mapping that is being derived, and base outputs. Second, base outputs derive from base input-output mappings which I refer to as ‘basemaps’, and exist in a ‘base pool’. Third, a matrix output can be in agreement with more than one base in the base pool, supporting previous work on multiple bases (Burzio 1998, Steriade 1999, Kager 2000, Stanton 2015, a.o.). Finally, agreement between matrix and base outputs is enforced via projection constraints of the shape [Agreement][Projection]; the projection picks out the relevant influencing bases.
Pins & Needles: Towards Limb Disownership in Augmented Reality

The seemingly stable construct of our bodily self depends on the continued, successful integration of multisensory feedback about our body, rather than its purely physical composition. Accordingly, pathological disruption of such neural processing is linked to striking alterations of the bodily self, ranging from limb misidentification to disownership, and even the desire to amputate a healthy limb. While previous embodiment research has relied on experimental setups using supernumerary limbs in variants of the Rubber Hand Illusion, we here used Augmented Reality to directly manipulate the feeling of ownership for one’s own, biological limb. Using a Head-Mounted Display, participants received visual feedback about their own arm, from an embodied first-person perspective. In a series of three studies, in independent cohorts, we altered embodiment by providing visuotactile feedback that could be synchronous (control condition) or asynchronous (400ms delay, Real Hand Illusion). During the illusion, participants reported a significant decrease in ownership of their own limb, along with a lowered sense of agency. Supporting the right-parietal body network, we found an increased illusion strength for the left upper limb as well as a modulation of the feeling of ownership during anodal transcranial direct current stimulation. Extending previous research, these findings demonstrate that a controlled, visuotactile conflict about one’s own limb can be used to directly and systematically modulate ownership – without a proxy. This not only corroborates the malleability of body representation but questions its permanence. These findings warrant further exploration of combined VR and neuromodulation therapies for disorders of the bodily self.
PROFESSIONAL APPLIED PHYSICAL TRAINING FOR HUMANITIES STUDENTS BASED ON INDIVIDUALIZATION OF EDUCATION

The aim of the study: to develop professional applied physical training for humanitarian students on the basis of individualization of training and to experimentally prove its effectiveness in the implementation of professional training at the university. The study was conducted at the University of the Humanities for 10 months, in which 126 students took part. The participants of the experimental focus group carried out professional applied physical training based on the author's program of individualization of training. The authors program was implemented based on the characteristics of future professional activities, professionally important physical and mental qualities of students. After the experiment, the number of participants in the experimental group at a high level, compared with the number of participants in the control group, significantly increased (p