Miracle-dz/UniFAR-FTUs huggingface dataset:
Infusing 21st-century competencies into scripted foundation phase literacy lessons

Background: Despite large-scale interventions aimed at developing literacy skills, children’s reading competence levels in South Africa continue to remain an area of concern. In addition, the need to prepare learners for the increased demands of a fast-changing world of learning and working is gaining attention in educational policy and practice.Aim: Using a qualitative multi-site case study research design, the authors aimed to explore teachers’ understanding and enactment of scripted literacy lessons that are designed to promote 21st-century competencies.Setting: Five Grade 1 teachers were selected from four schools, three of which are in peri-urban and the other in a township area.Methods: Data were generated in two phases across three teaching cycles. In the first phase, lessons were observed and recorded on video. The second phase consisted of stimulated recall interviews (SRIs) in which teachers commented on their recorded lessons.Results: The findings showed that when teachers had relevant prior knowledge of specific competencies, they were better positioned to leverage these as a basis for their lessons. However, the findings also indicated that teachers’ entrenched methods and ways of thinking were obstacles for change.Conclusion: Training and development opportunities should pay sufficient attention to the practicalities of changing pedagogies and using scripted lesson plans.Contribution: The findings contribute to knowledge on the affordances and challenges when designing training opportunities aimed at integrating 21st-century competencies into scripted literacy lessons.
Blended Learning: A Necessity for Indian Education System

Blended learning is an innovative concept that merges the advantages of conventional classroom teaching with technology-assisted learning, encompassing both online and offline modalities. It creates prospects for cooperative learning, hands-on learning, and computer-aided learning (CAL). For blended learning to be successfully implemented, there must be careful efforts, a good attitude, and substantial inexpensive, as well as highly motivated teachers and learners. It is complex and difficult to organize because it connects multiple approaches. The idea of blended learning, its major components, and the prerequisites for its successful implementation are explored in the present research. Furthermore, a cover-up is the implementation of blended learning in the Indian educational system. The current study is also designed to highlight how blended learning is a crucial method.
Imputing Missing Values In Time Series Of Count Data Using Hierarchical Models

The Uniform Crime Reports, collected by the FBI, contain monthly crime counts for each of the seven Index crimes, but for one reason or another, a police agency may miss reporting for a particular month. The data are not complete, hence the need for the development of an imputation procedure to fill in the gaps. Since the early 1960’s, an imputation technique implemented by the FBI has been used to make annual crime count estimates. This approach ignores concerns of seasonality and does not make use of the agencies’ long-term data trends. Computing power has radically improved since the 1960’s, and it is now feasible to develop a more precise imputation method that can incorporate more information into our estimation procedure. A modelbased approach also has the added value of making available variance estimates for the imputed data. We describe a method which uses three different models depending on an agency’s average monthly crime count for a particular crime. For small crime counts, we impute the mean and we assume the data are Poisson for the variance estimates. For large crime counts, we consider a time series SARIMA (Seasonal AutoRegressive Integrated Moving Average) model. For intermediate crime counts, we use a Poisson Generalized Linear Model (GLM). Hierarchical Bayesian models are used to obtain improved imputations for missing data that borrow strength from many UCR series. Information about population growth contained in the crime counts is thought to result in improved imputations when using time series from other agencies. ii Dedicated to Rachel. Through her love she lifted me up and made me stronger than I am.
AN ANALYSIS ILLOCUTIONARY ACT IN THE MONSTER HOUSE MOVIE

The purpose of this research is to analyze the types of illocutionary act in the Monster House movie. This study uses the speech act theory that focus on the illocutionary act by Searle theory (1979) – assertive, directive, declarative, expressive, and commissive. This study uses qualitative research by watching the movie, reading the script as a support of the movie, classifying the data, and analyzing the data to find the types and the meaning of illocutionary act, and the types of illocutionary act most frequently used in the Monster House movie that focuses to the linguistic theories derived from related literature sources. The writer finds 133 utterances of illocutionary acts used by characters of the Monster House movie. They consist of 37 assertive utterances, 59 directive utterances, 3 declarative utterances, 32 expressive utterances, and 2 commissive utterances. The dominant type is directive that DJ commands his friends in many scenes where he seems to manage the situations when they are inspecting the haunted called Monster House that he accidentally is a leader among his friends
Application of Tax Accounting: The role of Earnings Quality moderates Firm Value which is affected by Tax Avoidance, Financial Leverage and Executive Bonus

The purpose of this study is to analyze tax avoidance, financial leverage, and executive bonus to firm value with earnings quality as a moderating variable. This study uses panel data (pooled data) with the population used including all companies listed on the Indonesia Stock Exchange in the period 2014 to 2017 selected by purposive sampling which is part of the non-probability sampling method. The selected criteria include companies conducting initial public offerings (IPOs) after January 1, 2010, by eliminating the population of companies which are the financial, banking and property sectors, real estate, building construction, aviation, shipping, oil and gas, and mining, companies that have profit before tax (pre-tax income) is negative, and companies that do not have complete data, namely financial statement data and annual reports for the 2014–2017 period. From the results of this study, it was found that Tax avoidance harms firm value, Financial leverage has a positive effect on firm value, Executive bonus has a positive effect on firm value, Earnings quality does not affect firm value, and Earnings quality strengthens the negative effect of tax avoidance on firm value, Earnings quality does not moderate the effect of financial leverage on firm value, earnings quality does not moderate the effect of executive bonus on firm value.
Shared aperture metasurface with ultra-wideband and wide-angle low-scattering performance

In this paper, a shared aperture (SA) metasurface (MS) possesses ultra-wideband and wide-angle low-scattering performance is proposed and realized. Different from previous MS designs that mainly focus on one dimension, the SA MS design is divided into two dimensions, and the scattering performance is improved through effective integration of the two dimension design. Due to the introduction of the SA concept, a 10dB reflection magnitude reduction of MS is achieved almost from 4.8GHz to 16.4GHz (109.4%) for the incident angle below 30°. Simulated and measured results prove that our method offers an effective strategy to design high performance MS and promotes the MS for practical applications.
Teacher's creativity in making video based learning in post pandemi covid-19

Education in the post-covid-19 pandemic takes place in a hybrid manner. Offline and online learning methods using certain platforms such as zoom meeting and google classroom. The problems that arise in online learning such as students' boredom in learning, this is because the methods and media in online learning are still not varied. This study aims to analyze the creativity of teachers in making learning video media for class IV SD in the post-covid-19 pandemic. The research method uses descriptive qualitative. Data collection techniques used interviews with principals and teachers, and observation. The subject in this study was the online learning video media applied by the teacher. The object in this study is the teacher's creativity in making video based learning. The results of this study, teachers can be said to be creative because they can create video-based learning media, so that students are active in participating in learning.
Color Image Inpainting By an Improved Criminisi Algorithm

Due to the incorrect filling order and the fixed size of patch, the traditional examplar-based image inpainting algorithm tends to cause the image structure fracture, texture error extension and so on. So in this paper, it proposes an improved Criminisi algorithm with adaptive adjustment with gradient variation to color image inpainting algorithm. Firstly, to overcome the discontinuity of the edge structure caused by the incorrect filling order, using curvature of isophotes to constraint the filling order. Secondly, in order to solve the lack of the step effect in rich texture region, it adaptively adjusts the sample patch size according to the variation of local gradient. Finally, the local search method is used to find the best matching patch. The experimental results show that the proposed algorithm’s PSNR increased by 1-3dB and obtain better results in terms of different types of images.
Apis mellifera Solinvivirus-1, a Novel Honey Bee Virus That Remained Undetected for over a Decade, Is Widespread in the USA

A metagenomic analysis of the virome of honey bees (Apis mellifera) from an apiary with high rates of unexplained colony losses identified a novel RNA virus. The virus, which was named Apis mellifera solinvivirus 1 (AmSV1), contains a 10.6 kb positive-strand genomic RNA with a single ORF coding for a polyprotein with the protease, helicase, and RNA-dependent RNA polymerase domains, as well as a single jelly-roll structural protein domain, showing highest similarity with viruses in the family Solinviviridae. The injection of honey bee pupae with AmSV1 preparation showed an increase in virus titer and the accumulation of the negative-strand of AmSV1 RNA 3 days after injection, indicating the replication of AmSV1. In the infected worker bees, AmSV1 was present in heads, thoraxes, and abdomens, indicating that this virus causes systemic infection. An analysis of the geographic and historic distribution of AmSV1, using over 900 apiary samples collected across the United States, showed AmSV1 presence since at least 2010. In the year 2021, AmSV1 was detected in 10.45% of apiaries (95%CI: 8.41–12.79%), mostly sampled in June and July in Northwestern and Northeastern United States. The diagnostic methods and information on the AmSV1 distribution will be used to investigate the connection of AmSV1 to honey bee colony losses.
Gravity-driven migration of bubbles and/or solid particles near a free surface

We investigate the challenging problem of bubble(s) and rigid particle(s) interacting near a free surface. The time-dependent bubble(s) and free surface shapes are determined for a large range of Bond number by solving the creeping flow induced by the bubble(s) and the particle(s) motion. This works extends the boundary-integral formulation handled in a recent work solely dealing with bubble(s) ascending toward a free surface.
Performance of analytical footprint models in heterogeneous landscapes under varying atmospheric stability conditions

Analytical footprint models that simulate the source area of scalar fluxes generally include a fundamental assumption that the fluxes originate from a horizontal, homogeneous surface. It is widely understood that this assumption is often violated in flux studies, especially for sites where there are significant variations in topography, leaf area, photosynthetic pathway and underlying soil properties. An accurate interpretation of the measured flux footprint under heterogeneous canopy condition can help alleviate the problem. We evaluated the performance of analytical models (Hsieh, K&M, and Schuepp) under stable and unstable atmosheric conditions for the homoeneous canopy (Cotton- C3, zm = 3m and Sugarcane- C4, zm = 4m) and heterogeneous canopy (mixed fetch) compared to FFP model in a complex sugarcane-cotton (C3-C4) cropping system. Performance of models were evaluated using a set of three eddy covariance (EC) towers (one each capturing homogenous C3 and C4 fluxes, and a third capturing heterogeneous, mixed (C3-C4) fluxes at zm = 8m). High-quality EC fluxes that fulfil stationarity and internal turbulence tests were analyzed on the basis of daytime, unstable condition datasets. K&M model (Corr >0.75 , RMSE <0.06 , SD <0.006) performed the best in comparison to FFP model flux footprint prediction under unstable atmospheric condition in heterogeneous canopy condition with respect to Hsieh (Corr <0.6, RMSE >0.01 , SD >0.005), and Schuepp analytical model (Corr =0.2, RMSE <0.01, SD>0.2 ). Unstable atmospheric condition is further classified into four categories (neutral, near neutral unstable, unstable, and very unstable). Relative performance of the analytical models was further analyzed with experimental flux tower generated flux footprint under neutral, near neutral unstable, unstable, and very unstable atmospheric condition. FFP model performs the best in heterogeneous canopy condition under varying neutral to very unstable atmospheric condition. We make clear recommendations for future analysis of fluxes in heterogeneous crop lands under varying atmospheric stability condition.
Development of 100 μmol mol−1 HCl primary standard gas mixtures in high-pressure cylinders

To develop a 100 μmol mol−1 hydrogen chloride (HCl) primary standard gas mixture in a high-pressure cylinder, pure HCl gas was diluted in two or three steps with pure N2 in high-pressure aluminum and nickel-coated manganese steel cylinders. To check the consistency between the HCl gas mixtures in the different cylinders, the HCl mixing ratios were analyzed by Fourier transform infrared spectroscopy. Four cylinders of 100 μmol mol−1 HCl gas mixtures agreed within 0.2 μmol mol−1. A previous study showed that 0.29 μmol mol−1 of HCl was adsorbed on the inner surface of aluminum cylinders that contained 100 μmol mol−1 HCl gas mixtures. The long-term stability test showed that the 100 μmol mol−1 HCl gas mixture in the aluminum cylinder decreased by 0.8 μmol mol−1 over 2 years, whereas that in the nickel-coated manganese steel cylinder decreased by 6 μmol mol−1. This result suggested that the nickel-coated manganese steel cylinder is not suitable for developing 100 μmol mol−1 HCl gas mixtures. From the verification test between gas cylinders and the long-term stability test, the 100 μmol mol−1 HCl standard gas mixture in the aluminum cylinder was successfully developed with an expanded uncertainty of 1.65 μmol mol−1 (k = 2%, 95% confidence level). The 100 μmol mol−1 HCl standard gas mixture was validated using an online ion chromatograph with a liquid Cl− certified reference material (CRM). The HCl gas mixture agreed with the liquid Cl− CRM within an expanded uncertainty of 1.5%.
Flipped Classroom Assisted with Schoology Applications to Support Student Metacognition Skills

Metacognition skills are critical in regulating and supporting student learning, and metacognition is one of the key factors contributing to the success of student learning. Therefore, it is crucial to develop students' metacognition skills throughout the learning process. The purpose of this research is to identify the effectiveness of the LMS (Schoology) assisted flipped classroom learning model in improving students' metacognition skills. This study used a quasi-experimental design consisting of a control group and an experimental group of grade 10 high school students, with each group consisting of 30 students. The experimental group was taught using a flipped classroom model with the help of the LMS, while the control group was taught using a teacher-centered approach. Data collection involved administering a questionnaire on metacognition skills, and data was analyzed using descriptive analysis techniques and independent sample t-test. The results of the analysis showed that the post-questionnaire score in the control group was 53.55% and in the experimental group was 77.58%, demonstrating that the LMS-assisted flipped classroom model contributes to improving students' metacognitive skills.
Bell states in a Penning trap as the quantum simulator of the integer factorization problem

We recently introduced a formulation of the integer factorization problem for N = xy based on the physics of a quantum device. The energies of this system, being related univocally with the factors of N in number theory, are the eigenvalues of a bounded Hamiltonian. Here we solve the quantum conditions to obtain a discrete energy spectrum that allows to assign a relative probability for a prime to be a factor candidate of N . This kind of quantum sieve can be understood as a polynomial time probabilistic quantum factoring algorithm only requiring O(log √ N) energy measurements. Finally the state of this quantum simulator will be identified as that corresponding to two entangled electrons in a Penning trap. We also consider the possibility to build the simulator experimentally to obtain, from the measured magnetron trap frequencies, a device performing a probabilistic quantum sieve for the possible factors of N .
Shape Clustering and Spatial-temporal Constraint for Non-rigid Structure from Motion

Non-rigid Structure-from-Motion (NRSfM) is an active research field in computer vision. The task of NRSfM is to simultaneously recover camera motion and 3D structure from 2D tracks of a deformable object. This problem is generally categorized into sparse and dense cases in terms of scale, where sparse NRSfM deals with a few feature tracks and dense NRSfM recovers the 3D position of each pixel in an image flow. As NRSfM is essentially an under-constrained problem, recent research has focused on enforcing priors to reliably solve the problem. In this thesis, we propose a shape clustering method for sparse NRSfM and a spatial-temporal constraint for dense NRSfM. For sparse NRSfM, we first revisit the concept of “reconstructability”, which indicates the possibility of reconstructing a 3D shape, given 2D feature tracks and camera motion. We give an extension to it and define “reconstructability” from 3D shape complexity and motion complexity. To increase global reconstructability, we then propose an iterative shape clustering method to divide a sequence into several sub-sequences, thus decreasing the shape complexity of each sub-sequence, which is much easier to solve individually. Our method aims at solving the longterm, complex motions, which have been a difficult task for previous methods. Experimental results show that our method outperforms the current state-of-theart methods by a margin, thus pushing the limit of sparse NRSfM. For dense NRSfM, we first revisit the temporal smoothness utilized in sparse NRSfM and demonstrate that it can be employed for dense case directly. Secondly, we propose a spatial smoothness constraint by enforcing a Laplacian filter to the shape matrix. Finally, to handle real world noise and outliers in measurements, we robustify the data term by using the L1 norm. Our method gives a simple yet elegant convex least-squares optimization, which can be effectively solved by gradient descent. Experimental results on both synthetic and real images show that the proposed method achieves state-of-the-art performance in dense NRSfM.
Excited-state indirect excitons in GaAs quantum dot molecules

We demonstrate the fabrication of strain-free and widely adjustable GaAs quantum-dot molecules (QDMs) by filling of droplet etched nanoholes in AlGaAs. Gate-voltage dependent optical spectra of highly asymmetric QDMs exhibit anticrossings that clearly indicate strong coupling with delocalized molecule states. Furthermore, indirect excitons are observed that are related to recombinations of excited-state electrons and ground-state holes both located in different dots. Simple numerical simulations reproduce the electric-field dependent energy shifts of direct and indirect transitions and predict their radiative lifetimes. The visibility of excited-state indirect excitons even for strong off-resonant energy detuning indicates the presence of a phonon bottleneck which suppresses the relaxation of excited electrons into lower levels.
A Compact Fully Electronically Tunable Memristive Circuit Based on CCCDTA with Experimental Results

This work presents a flux-controlled memristor structure employing a Current-Controlled Current Differencing Transconductance Amplifier (CCCDTA) with a grounded capacitor. The proposed emulator’s invariant and variant parts can be safely adjustable, showing promising characteristics of up to 1.5 MHz operating frequency. Furthermore, there is no need for an additional circuit, switching mechanism or changing the circuit topology for the changing of operation modes. To justify the performance of the emulator with incremental and decremental mode operations, a Monte Carlo and temperature analysis are validated using TSMC 0.18 µm technology under a symmetrical supply voltage of ±0.9 V. Furthermore, the workability of the proposed circuit is tested with commercial elements such as ALD1116, AD844 and LM13700. When compared with other studies, the presented emulator circuit demonstrates promising performance in various features.
Normal limiting distribution for the size and the external path length of tries

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Normal limiting distribution for the size and the external path length of tries Philippe Jacquet, Mireille Regnier
Lessons learnt from fission materials R&D programmes

The purpose of this paper is to review the lessons learnt on the use of advanced materials on the design and operation of components in fission reactors and to consider how these lessons can be employed to benefit the use of advanced structural and, to a certain extent, coolant channel materials in the design and qualification of the in-vessel and containment vessel components for the DEMO fusion reactor. The focus is on lessons learnt on methodologies that need to be applied, and a number of specific recommendations are made.
SUR LES EXTENSIONS DES FEUILLETAGES

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. SUR LES EXTENSIONS DES FEUILLETAGES Cyrille Dadi