Miracle-dz/UniFAR-FTUs huggingface dataset:
ICT Psychomotor Teaching Strategy in Oral English Class in Akure, Nigeria

Teaching oral English in an ESL environment is a complex exercise which requires appropriate instructional aids and methods, conducive learning environment, as well as, teacher competence. These requirements can be guaranteed by Information and Communication Technology (ICT). However, how much of ICT facilities are available and functional in secondary schools in an L2 situation in a developing country is an issue. The study examined the effects of ICT on students’ academic performance in oral English in a quasi-experimental design involving experimental and control groups with 200 male and female students from four purposively sampled secondary schools in Akure North Local Government Area of Ondo State, Nigeria. Oral English Achievement Test (OEAT) was developed, validated and used for data collection administered as a pre-test: before the treatment and as post-test: after the treatment, for four-week duration. Three research questions were raised and three hypotheses were tested at α=0.05 level of significance. The data collected were computed using t- test statistics. Study revealed that there is no significant difference between the learning achievements of students in rural and urban schools taught oral English using either ICT tools or chalk and talk strategy. It also showed that using ICT tools as a psychomotor strategy for teaching and learning stimulates learning and promotes better understanding of oral English among secondary school students. The study recommended that ICT facilities be made available for the teaching and learning of oral English in secondary schools and that teachers should be adequately trained to effectively use the facilities.
Feature Engineering for Anti-Fraud Models Based on Anomaly Detection

The paper presents two algorithms as a solution to the problem of identifying fraud intentions of a customer. Their purpose is to generate variables that contribute to fraud models’ predictive power improvement. In this article, a novel approach to the feature engineering, based on anomaly detection, is presented. As the choice of statistical model used in the research improves predictive capabilities of a solution to some extent, most of the attention should be paid to the choice of proper predictors. The main ﬁnding of the research is that model enrichment with additional predictors leads to the further improvement of predictive power and better interpretability of anti-fraud model. The paper is a contribution to the fraud prediction problem but the method presented may generate variable input to every tool equipped with variable-selection algorithm. The cost is the increased complexity of the models obtained. The approach is illustrated on a dataset from one of the European banks.
‘The Michael Jordan of greatness’— Extracting Vossian antonomasia from two decades of The New York Times, 1987–2007

Vossian antonomasia is a prolific stylistic device, in use since antiquity. It can compress the introduction or description of a person or another named entity into a terse, poignant formulation and can best be explained by an example: When Norwegian world champion Magnus Carlsen is described as ‘the Mozart of chess’, it is Vossian antonomasia we are dealing with. The pattern is simple: A source (Mozart) is used to describe a target (Magnus Carlsen), the transfer of meaning is reached via a modifier (‘of chess’). This phenomenon has been discussed before (as ‘metaphorical antonomasia’ or, with special focus on the source object, as ‘paragons’), but no corpus-based approach has been undertaken as yet to explore its breadth and variety. We are looking into a full-text newspaper corpus (The New York Times, 1987–2007) and describe a new method for the automatic extraction of Vossian antonomasia based on Wikidata entities. Our analysis offers new insights into the occurrence of popular paragons and their distribution.
Factors that influence the organizational climate of a higher education institution

This research aims to describe the relationship of the organizational climate and; motivation, leadership, communication and organizational structure. It is qualitative-quantitative, a questionnaire was prepared by conducting a census. The results show that the organizational climate maintains a relationship with all the variables, highlighting communication and leadership and with some proposed indicators; this measurement shows the relationship with precision. Unknown facts are revealed and this article contributes to the literature and methods of analysis
Energy-Aware Multi-Goal Motion Planning Guided by Monte Carlo Search

Autonomous robots need a reliable way to preserve their energy level while performing a persistent task such as inspection or surveillance. Toward this objective, this paper considers the multi-goal motion-planning problem with multiple recharging stations where a robot operating in a complex environment has to reach each goal while reducing the travel distance and the number of times it recharges. This paper develops an integrated approach that couples samplingbased motion planning with Monte-Carlo Tree Search (MCTS). The proposed MCTS searches over a discrete abstraction, which is obtained via a probabilistic roadmap, and uses a reward function to calculate when, where, and whether it is beneficial to recharge. This results in short tours that also reduce the number of recharges. Such tours are used to guide sampling-based motion planning as it expands a tree of collision-free and dynamically-feasible motions. Experiments with nonlinear dynamical robot models operating in obstaclerich environments demonstrate the efficiency of the approach.
Navigation Challenges during ExoMars Trace Gas Orbiter Aerobraking Campaign

The ExoMars Trace Gas Orbiter satellite spent one year in aerobraking operations at Mars, lowering its orbit period from one sol to about two hours. This delicate phase challenged the operations team and in particular the navigation system due to the highly unpredictable Mars atmosphere, which imposed almost continuous monitoring, navigation and re-planning activities. An aerobraking navigation concept was, for the first time at ESA, designed, implemented and validated on-ground and in-flight, based on radiometric tracking data and complemented by information extracted from spacecraft telemetry. The aerobraking operations were successfully completed, on time and without major difficulties, thanks to the simplicity and robustness of the selected approach. This paper describes the navigation concept, presents a recollection of the main in-flight results and gives a retrospective of the main lessons learnt during this activity.
Attention, Revealed Preferences, and Consequentialist Behavior

We present an experimental analysis of subjects’ individual information collection and choice behavior in a series of multi-stage portfolioselection problems. We recorded not only subjects’ choices but also monitored the process of mouse movement that revealed information about the different portfolios. Our main results are, first, that subjects focussed their attention only on a small subset of consequences and, second, that the conditional probability of being substantively rational in terms of GARP if the previous choice was GARP-consistent was very high. These results suggest that the observed deviations from substantive rationality come from the fact that people deliberately choose to restrict the amount of information that is used to make up their minds to a “satisfactory” minimum. JEL classification: C91, D83
Duty cycle effect on jet control based on a single unsteady minijet

An experimental investigation has been carried out to assess the mixing promoting capability on a turbulent round jet of Reynolds number 8000 controlled by a single unsteady radial minijet. The influence of the duty cycle c d of the unsteady minijet on jet mixing characteristics has been investigated. The decay rate K of the jet centerline mean velocity is strongly influenced by the duty cycle. Moreover, the optimum duty cycle increases with increasing Cm. The increase in duty cycle is closely linked to the depth of the minijet penetration and the generation of mushroom-like structures, resulting in greatly enhanced jet mixing. Flow visualization results reveal that at small Cm the unsteady injection can only affect the shear layer and suppress the vortexpairing on the injection side, thus resulting in the jet column to flap. However, at larger Cm the unsteady injection may have penetrated the main jet, causing a highly turbulent jet, irrespective of c d .
Fast Clustering Using a Grid-Based Underlying Density Function Approximation

Clustering is an unsupervised machine learning task that seeks to partition a set of data into smaller groupings, referred to as “clusters”, where items within the same cluster are somehow alike, while differing from those in other clusters. There are many different algorithms for clustering, but many of them are overly complex and scale poorly with larger data sets. In this paper, a new algorithm for clustering is proposed to solve some of these issues. Density-based clustering algorithms use a concept called the “underlying density function”, which is a conceptual higher-dimension function that describes the possible results from the continuous data set that our input data is just a discrete sample of. The algorithm proposed in this paper seeks to use this concept by creating a piecewise approximation of the underlying density function, and then merging points towards local density maxima from this higher-dimensioned space. First, the data space is divided into a grid-based structure and the density of each grid is calculated. Second, each of these “grid-squares” determines the densest space in its local area. Finally, the grid squares are merged together in the direction of their local density maximum, ultimately merging with one of the density maxima that form the root of a cluster. The experimental results show significant time improvements over standard algorithms such as DBSCAN with no accuracy penalty. Furthermore, the algorithm is also suitable for use with parallel and distributed systems, as an implementation with Apache Spark showed proper parallel scaling with low data set sizes required to overtake the serial implementation.
On the seasonal variability of the Oyashio extension fronts

Previous study reported that the annual-mean eastern Oyashio Extension (OE) front shifts northward while the western OE front has no obvious poleward shift during 1982–2017 by Wu et al. (Geophys Res Lett 45:9042–9048, 2018). Here we revisit this topic and focus on the seasonal variability and shifts of the OE fronts from 1982 to 2018, with observational reanalysis data and a 1.5-layer reduced-gravity model simulation. In winter, both the western and eastern OE fronts demonstrate consistent northward movement. While in summer, the eastern OE front still moves northward but the western OE front has no obvious and even southward shift. It is shown that the trade wind’s expansion during 1982–2018 favours the northward shift of the OE fronts for both winter and summer. However, there is a local cold Ekman heat transport anomaly along the western OE front in summer, which surpasses the effect of trade wind expansion and prohibits northward movement of the front. This cold Ekman advection is due to a westerly wind anomaly induced firstly by the Atlantic Multi-decadal Oscillation (AMO) and secondly by the Pacific Decadal Oscillation (PDO). In winter, the local Ekman heat transport is less effective than in summer in changing the OE front position because of the deep mixed layer. Our study demonstrates the seasonality of the OE front shift and highlights the importance of local Ekman heat transport associated with the AMO. Our results also partly explain the rainfall changes in both winter and summer in the western Pacific Ocean in the past 37 years, since the rainband east of Japan is affected by the sea surface temperature and its front.
Thermo-mechanical numerical modelling of the South American subduction zone: a multi-parametric investigation

Abstract. The South American subduction zone remains a topic of debate with long-lasting questions involving the origin of non-collisional orogeny and the effect of very large trench-parallel extent, slab sinking to great mantle depths, and aseismic ridge subduction. A key to help solve those issues is through studying the subduction zone dynamics with buoyancy-driven numerical modelling that uses constrained independent variables in order to best approximate the dynamics of the real subduction system. We conduct a parametric investigation on the effect of upper mantle rheology (Newtonian or non-Newtonian), subduction interface yield stress and slab thermal weakening. As a means of constraining those model variables we attempt to find best-fits by comparing our model outcomes with the present-day upper- and lower-mantle slab geometry observed on tomography models and obtained from earthquake hypocentre locations, as well as with estimates of Cenozoic velocities obtained from kinematic reconstruction. Key ingredients that need to be reproduced are slab flattening close to the surface, strong oscillation of the Farallon-Nazca subducting plate velocity and progressive decrease in trench retreat rate after a long period of time. We include these ingredients to define a model fitting score that contains a total of 9 criteria. Our best fitting model involves significant slab thermal weakening in order to attain the fast Farallon-Nazca subducting plate velocity and to better reproduce the subduction partitioning in the past 48 Myr, due to strong reduction of the shear stresses resisting downdip slab sinking and of the slab bending resistance. We further find that a non-Newtonian upper mantle rheology promotes slab folding and realistic associated oscillation of the subducting plate velocity. Our parametric study also indicates that the subduction interface must be weak in agreement with earlier laboratory subduction models, but not too weak, with a yield stress of ~ 14–21 MPa, otherwise the fit becomes poor. Our models moreover suggest that slab folding at the 660 km discontinuity can be a cause of the Farallon-Nazca subducting plate velocity oscillation. Whether and how this slab folding process induces periodic/episodic variations in deformation of the Andes remains an open question that requires further research.
The Effect of Process Improvement Practices on Manufacturing Competitiveness of Apparel Factories

Process improvement practices (PIP) are being used as ways to improve manufacturing competitiveness (MC) but their overall effect in apparel factories have not been well quantified. This paper identifies the effects that PIP have on the manufacturing competitiveness of multinational apparel manufacturing plants. The methodology followed uses the Delphi method and exploratory factor analysis for variable selection, the Mann-Whitney test for analyzing the relationship between PIP usage and MC performance and regression analysis for estimating the existing correlation among the variables studied. The results show that factories with a high use of PIP have a higher manufacturing competitiveness and that specific practices related to error detection and waste elimination have a positive effect in cost, delivery time and environmental protection.
Affixation Knowledge Strategy in Teaching English Vocabulary for Medicine

Affixation Knowledge Strategy in Teaching English Vocabulary for Medicine Giti Karimkhanlooei and Bahareh Maboudi 72 =================================================================== 7 Vol. 17:1 January 201 2940 ISSN 1930 www.languageinindia. com Language in India =================================================================== Affixation Knowledge Strategy in Teaching English Vocabulary for Medicine
Fluorescent Chromosome Banding Patterns in Six Species of Abies, Pinaceae

The six Abies species, A. laciocarpa, A. veitchii, A. sachalinensis, A. mariesii, A. faxoniana and A. georgei, were investigated for their chromosomes by the fluorescent banding method using fluorochromes chromomycin A3 (CMA) and 4′,6-diamidino-2-phenylindole (DAPI). All six species have 2n=24 chromosomes and a similar karyotype consisting of seven pairs of long metacentric chromosomes and five pairs of shorter submetaand subtelocentric chromosomes, supporting previous studies. Eight clear CMA-bands appeared at the interstitial region of one arm of long metacentric chromosomes in all species, and in A. veitchii and A. sachalinensis, their number varied from six to eight among plants and/or populations. A weak CMA-band appeared at the interstitial region of one chromosome pair, while a weak CMA-band appeared at the proximal region in some species. In most species DAPI did not produce clear bands, and sites of clear CMA-bands were DAPI negative. Only A. mariesii showed many DAPI-bands at the interstitial and/or centromeric regions of several chromosomes. A few weak DAPI-bands appeared in some other species. The fluorescent banding and FISH patterns reported in Abies species were compared and discussed with taxonomic treatment and molecular phylogeny of Abies.
Brane blobology in the large $D$ effective theory

In the large dimension (D) limit, the Einstein's equation reduces to the effective theory on the horizon surface, drastically simplifying the black hole analysis. Especially, the effective theory on the black brane was successful in describing the non-linear dynamics not only on the black brane, but also on compact black objects which are encoded as solitary Gaussian-shaped lumps, blobs. In the rigidly rotating ansatz, in addition to axisymmetric deformed branches, various non-axisymmetric solutions as black bars are found by using this blob approximation, which only stay stationary at the large D limit. In this article, we demonstrate the blob approximation has a wider range of applicability by formulating the interaction between blobs and subsequent dynamics. We identify that this interaction occurs via thin necks gluing blobs. Especially, black strings are captured quite well by this refined blob approximation sufficiently away from the perturbative regime. Highly deformed black dumbbells and ripples are also found to be tractable in the same approximation. By defining the local quantities, the effective force acting on distant blobs are evaluated as well. These results reveal a new aspect of the large $D$ effective theory as the dynamics of interactive blobs -- brane blobology.
Single-chromosome aneuploidy commonly functions as a tumor suppressor

Whole-chromosome aneuploidy is a hallmark of human malignancies. The prevalence of chromosome segregation errors in cancer – first noted more than 100 years ago – has led to the widespread belief that aneuploidy plays a crucial role in tumor development. Here, we set out to test this hypothesis. We transduced congenic euploid and trisomic fibroblasts with 14 different oncogenes or oncogene combinations, thereby creating genetically-matched cancer cell lines that differ only in karyotype. Surprisingly, nearly all aneuploid cell lines divided slowly in vitro, formed few colonies in soft agar, and grew poorly as xenografts, relative to matched euploid lines. Similar results were obtained when comparing a near-diploid human colorectal cancer cell line with derivatives of that line that harbored extra chromosomes. Only a few aneuploid lines grew at close to wild-type levels, and no aneuploid line exhibited greater tumorigenic capabilities than its euploid counterpart. These results demonstrate that rather than promoting tumorigenesis, aneuploidy, particularly single chromosome gains, can very often function as a tumor suppressor. Moreover, our results suggest one potential way that cancers can overcome the tumor suppressive effects of aneuploidy: rapidly-growing aneuploid cell lines that had evolved in vitro or in vivo demonstrated recurrent karyotype changes that were absent from their euploid counterparts. Thus, the genome-destabilizing effects of single-chromosome aneuploidy may facilitate the development of balanced, high-complexity karyotypes that are frequently found in advanced malignancies.
Spatially Resolved Kinematics of gas and stars in hidden type 1 AGNs

We present the spatially resolved gas and stellar kinematics of a sample of ten hidden type 1 AGNs in order to investigate the true nature of the central source and the scaling relation with host galaxy stellar velocity dispersion. The sample is selected from a large number of hidden type 1 AGN, which are identified based on the presence of a broad component in the \ha\ line profile (i.e., full-width-at-half-maximum $>$ $\sim$1000 \kms), while they are often mis-classified as type 2 AGN because AGN continuum and broad emission lines are weak or obscured in the optical spectral range. We used the Blue Channel Spectrograph at the 6.5-m MMT (Multiple Mirror Telescope) to obtain long-slit data. We detected a broad \hb\ for only two targets, however, the presence of a strong broad \ha\ indicates that these AGNs are low-luminosity type 1 AGNs. We measured the velocity, velocity dispersion and flux of stellar continuum and gas emission lines (i.e., \hb\ and \oiii) as a function of distance from the center with a spatial scale of 0.3 arcsec pixel$^{-1}$. Spatially resolved gas kinematics traced by \hb\ or \oiii\ are generally similar to stellar kinematics except for the very center, where signatures of gas outflows are detected. We compare the luminosity-weighted effective stellar velocity dispersion with black hole mass, finding that these hidden type 1 AGN with relatively low back hole mass follow the scaling relation of the reverberation-mapped type 1 AGN and more massive inactive galaxies. }
The KBC void and Hubble tension contradict ΛCDM on a Gpc scale − Milgromian dynamics as a possible solution

The KBC void is a local underdensity with the observed relative density contrast δ ≡ 1 − ρ/ρ0 = 0.46 ± 0.06 between 40 and 300 Mpc around the Local Group. If mass is conserved in the Universe, such a void could explain the 5. 3σ Hubble tension. However, the MXXL simulation shows that the KBC void causes 6. 04σ tension with standard cosmology (ΛCDM). Combined with the Hubble tension, ΛCDM is ruled out at 7. 09σ confidence. Consequently, the density and velocity distribution on Gpc scales suggest a long-range modification to gravity. In this context, we consider a cosmological MOND model supplemented with $11 \, \rm {eV}/c^{2}$ sterile neutrinos. We explain why this νHDM model has a nearly standard expansion history, primordial abundances of light elements, and cosmic microwave background (CMB) anisotropies. In MOND, structure growth is self-regulated by external fields from surrounding structures. We constrain our model parameters with the KBC void density profile, the local Hubble and deceleration parameters derived jointly from supernovae at redshifts 0.023−0.15, time delays in strong lensing systems, and the Local Group velocity relative to the CMB. Our best-fitting model simultaneously explains these observables at the $1.14{{\ \rm per\ cent}}$ confidence level (2.53σ tension) if the void is embedded in a time-independent external field of ${0.055 \, a_{_0}}$. Thus, we show for the first time that the KBC void can naturally resolve the Hubble tension in Milgromian dynamics. Given the many successful a priori MOND predictions on galaxy scales that are difficult to reconcile with ΛCDM, Milgromian dynamics supplemented by $11 \, \rm {eV}/c^{2}$ sterile neutrinos may provide a more holistic explanation for astronomical observations across all scales.