Miracle-dz/UniFAR-FTUs huggingface dataset:
‘[N]ow I can be a poetic writer’: using action research as a way of reclaiming and implementing professional values in the primary school

ABSTRACT This paper explores the impact of an action research intervention to support primary aged children’s confidence as writers. Set in a school where few children (the majority of whom had English as an additional language) were performing at or beyond national expectations in terms of writing, the intervention looked at how to engage children more effectively, by promoting enjoyment of writing and providing quality mentor texts to inspire the children. The school had received a number of critical inspection reports and had consequently adopted a series of measures to improve academic outcomes, which acted as a constraint on my teaching. There was a real sense that as a teacher I was struggling to put my educational values into practice. In addition, my lack of confidence in my abilities as a writer acted as a further constraint. Adopting an action research approach enabled me to develop my personal confidence as a teacher of writing, explore more effective ways to teach writing, resulting in the development of confident and reflective writers in the classroom.
Experimental studies of horizontal flow effects in the presence of cavitation on erosion – free dampers

Based on cavitation studies, the obtained graphical dependencies for determining the horizontal hydrodynamic effect of the cavitating flow on erosion-free dampers at various stages of cavitation. These data supplement the results obtained earlier. Based on studies, the effect of cavitation on the work of erosion-free dampers was revealed. So, on average, horizontal ripple loads in the zone of the developed stage of cavitation increase by 1.7…2 times. Such a significant increase in loads necessitates taking into account the influence of cavitation when designing the downstream fastening plates with erosion-free dampers. The values of the horizontal hydrodynamic loads on the erosion-free dampers given in the work make it possible to establish the shear loads on the slabs of the water cube under cavitation. The results of this work can be used in design practice to assess the stability of slabs of waterfall fasteners with cavitating erosion-free dampers.
Tip to Show Off: Impression Management Motivations Increase Consumers’ Generosity

Tipping is ubiquitous in countries such as the United States. Given the importance of examining the experiential side of marketing, we examine tipping—a participative pricing context and introduce it to the literature in behavioral pricing. We propose that consumers use tips as an impression management strategy, tipping more when their goal is to impress others. We examine the robustness of these impression management goals when overall bills are small (vs. large, study 1), customers pay using credit card (vs. cash, study 2), and hold different denominations of cash (study 3), as bill size, and payment modes could attenuate the effect of impression management goals on tipping intentions. These findings allow us to better understand the underlying antecedents of tipping behavior, and the consequences of impression management motivations. As such, the article cross-fertilizes the hospitality, economic psychology, and behavioral pricing literatures with applications to consumer research.
Convergence of nonlinear finite volume schemes for two-phase porous media flow on general meshes

In this work we present an abstract finite volume discretization framework for incompressible immiscible two-phase flow through porous media. A priori error estimates are derived that allow us to prove the existence of discrete solutions and to establish the proof of convergence for schemes belonging to this framework. In contrast to existing publications the proof is not restricted to a specific scheme and it assumes neither symmetry nor linearity of the flux approximations. Two nonlinear schemes, namely a nonlinear two-point flux approximation and a nonlinear multipoint flux approximation, are presented, and some properties of these schemes, e.g. saturation bounds, are proven. Furthermore, the numerical behavior of these schemes (e.g. accuracy, coercivity, efficiency or saturation bounds) is investigated for different test cases for which the coercivity is checked numerically.
Assessment of the Glutenin Subunits Diversity in a Durum Wheat (T. turgidum ssp. durum) Collection from Morocco

Landraces and old wheat cultivars display great genetic variation and constitute a valuable resource for the improvement of modern varieties, especially in terms of quality. Gluten quality is one of the major determinants of wheat quality, and it is greatly influenced by variation in the high molecular weight and low molecular weight glutenin subunits (HMW-GS and LMW-GS). Identification of novel allelic variants for either of the two groups of the gluten-forming proteins could greatly assist in the improvement of wheat gluten quality. In the present study, the allelic composition of the HMW- and LMW-GS of ninety-five durum wheat accessions was evaluated. These accessions included Moroccan cultivars and landraces and North American cultivars and were all conserved in the National Gene Bank from Morocco. In total, 20 cataloged alleles and 12 novel alleles were detected. For the HMW-GS, two alleles were found at the Glu-A1 locus, and seven different allelic variants were identified at the Glu-B1 locus. Among them, two alleles were new (alleles Glu-B1cp and co). Additionally, two of the analyzed accessions exhibited the Glu-D1d allele, suggesting the presence of the Glu-D1 locus introgression. For the LWM-GS, eight, ten and two alleles were identified at the Glu-A3, Glu-B3 and Glu-B2 loci, respectively. Among them, two new allelic variants were identified at the Glu-A3 locus, and seven new allelic variants were identified at the Glu-B3 locus. Overall, the Moroccan landraces exhibited a greater genetic diversity and a greater number of glutenin alleles compared to the Moroccan and North American durum wheat cultivars. The novel germplasm and glutenin alleles detected in this study could contribute to the improvement of durum wheat quality and the expansion of modern durum wheat genetic diversity.
Investigating Future Urbanization’s Impact on Local Climate under Different Climate Change Scenarios in MEGA-urban Regions: A Case Study of the Pearl River Delta, China

Urbanization is one of the most significant contributing factors to anthropogenic climate change. However, a lack of projected city land use data has posed significant challenges to factoring urbanization into climate change modeling. Thus, the results from current models may contain considerable errors in estimating future climate scenarios. The Pearl River Delta region was selected as a case study to provide insight into how large-scale urbanization and different climate change scenarios impact the local climate. This study adopts projected land use data from freely available satellite imagery and applies dynamic simulation land use results to the Weather Research and Forecasting Model (WRF). The simulation periods cover the summer periods in 2010 and 2029–2031, the latter of which is averaged to represent the year 2030. The WRF simulation used the observed local climate conditions in 2010 to represent the current scenario and the projected local climate changes for 2030 as the future scenario. Under all three future climate change scenarios, the warming trend is prominent (around 1–2 °C increase), with a widespread reduction in wind speed in inland areas (1–2 ms−1). The vulnerability of human health to thermal stress was evaluated by adopting the wet-bulb globe temperature (WBGT). The results from the future scenarios suggest a high public health risk due to rising temperatures in the future. This study provides a methodology for a more comprehensive understanding of future urbanization and its impact on regional climate by using freely available satellite images and WRF simulation tools. The simulated temperature and WBGT results can serve local governments and stakeholders in city planning and the creation of action plans that will reduce the potential vulnerability of human health to excessive heat.
Double‐mode modeling of nonlinear flexural vibration analysis for a symmetric rectangular honeycomb sandwich thin panel by the homotopy analysis method

Nonlinear flexural vibration of a symmetric rectangular honeycomb sandwich thin panel with simply supported along all four edges is studied in this paper. The nonlinear governing equations of the symmetric rectangular honeycomb sandwich panel subjected to transverse excitations are simplified to a set of two ordinary differential equations by the Galerkin method. Based on the homotopy analysis method, the average equations of the primary resonance and harmonic resonance are obtained. The influence of structural parameters, the transverse exciting force amplitude, and transverse damping to the symmetric rectangular honeycomb sandwich panel are discussed by using the analytic approximation method. Compared with the results obtained by single‐mode modeling technique, the results obtained by double‐mode modeling technique change the softening and hardening nonlinear characteristics when Ω ≈ ω1, ω1/3, and ω2/3.
Review article: Detection of informative tweets in crisis events

Abstract. Messages on social media can be an important source of information during crisis situations, be they short-term disasters or longer-term events like COVID-19. They can frequently provide details about developments much faster than traditional sources (e.g. official news) and can offer personal perspectives on events, such as opinions or specific needs. In the future, these messages can also serve to assess disaster risks. One challenge for utilizing social media in crisis situations is the reliable detection of informative messages in a flood of data. Researchers have started to look into this problem in recent years, beginning with crowd-sourced methods. Lately, approaches have shifted towards an automatic analysis of messages. In this review article, we present methods for the automatic detection of crisis-related messages (tweets) on Twitter. We start by showing the varying definitions of importance and relevance relating to disasters, as they can serve very different purposes. This is followed by an overview of existing, crisis-related social media data sets for evaluation and training purposes. We then compare approaches for solving the detection problem based (1) on filtering by characteristics like keywords and location, (2) on crowdsourcing, and (3) on machine learning techniques with regard to their focus, their data requirements, their technical prerequisites, their efficiency and accuracy, and their time scales. These factors determine the suitability of the approaches for different expectations, but also their limitations. We identify which aspects each of them can contribute to the detection of informative tweets, and which areas can be improved upon in the future.We point out particular challenges, such as the linguistic issues concerning this kind of data. Finally, we suggest future avenues of research, and show connections to related tasks, such as the subsequent semantic classification of tweets.
A multi-objective decomposition-based ant colony optimisation algorithm with negative pheromone

ABSTRACT Existing ant colony algorithms only have one kind of pheromone. They use non-dominated solutions to update it while not making use of dominated solutions, which can provide valuable information for guiding the subsequent foraging process. To make full use of dominated solutions, we create a new kind of pheromone temporarily called a negative pheromone and propose a new ant colony optimisation algorithm called NMOACO/D, which combines MOEA/D-ACO with the negative pheromone. Many experiments have been carried out in this study to compare NMOACO/D with MOEA/D-ACO and other algorithms on several bi-objective travelling salesman problems. We demonstrate that NMOACO/D outperforms the MOEA/D-ACO and six different recently proposed related algorithms on all nine test instances. We also evaluate the effect of negative pheromone on the performance of the NMOACO/D. The results in this paper show that correctly making use of the information related to dominated solutions can further improve the ant colony algorithm performance.
Effects of Body Condition on Facultative Anadromy in Brown Trout (Salmo trutta)

Fish behavior and life history is influenced by factors such as the environment, genetics, and their physiological state. One key life history stage in brown trout is decision to migrate to the sea or reside in the river. The energy status and body condition of the fish is thought to play a role in the timing and duration of migration to the sea. In this study, I examined the role of body condition in the initiation of this life history stage and determined the importance of feeding regimes in the physiological trade-off between migration and residency. I used four different feeding regimes in age one and age two cohorts of hatchery-reared brown trout to observe if starvation or feeding saturation induce behavioral changes in migration both in a controlled environment as well as a natural river system. I used both passive integrative transponder tags (PIT) as well as acoustic telemetry tags to analyze migration. I was successfully able to manipulate body condition using variable feeding regimes in both cohorts and I found that migration initiation and behavior was influenced by feeding regime. Feeding increased migration in both cohorts in the laboratory setting, but not in the natural setting. Laboratory migration in the age two cohort was primarily independent of feeding treatments as almost all age two fish migrated, but migration intensity was found to be greater with fed treatment groups. In contrast, age one fish were highly influenced by feeding regime, with fewer starved fish migrating and at a slower rate. Downstream migration in the wild was extremely low for both cohorts independent of feeding treatment. Overall, the findings indicate that age at release and feeding condition prior to release can impact migration initiation and duration. The results contribute to a better understanding of this complex life history stage and the mechanisms involved in the initiation, behavior, and survival of migrating brown trout.
Gasification and combustion of footwear leather wastes

One of the great technological challenges of this century is to identify alternative energy sources. The utilization of leather wastes (biomass) to generate energy becomes interesting due to its heating value, as well as for the characteristics of the ash generated, which could be used in other processes such as the production of basic chromium sulfate. Resulting from a partnership between research agencies and private businesses, a semi-pilot unit (350 kw th ) was designed and built to process leather wastes. The operation of this semi-pilot unit started in August, 2003. During this period, approximately 200 tons of wastes were treated in over 2,500 h of processing. The semi-pilot unit consists basically of a stratified downdraft gasifier, an oxidation reactor and an air pollution control system (APC). In this paper, the gasifier's emissions were evaluated and the ash and the flue gas were characterized.
A Three-Level DC-Link Quasi-Switch Boost T-Type Inverter with Voltage Stress Reduction

In recent years, the three-level T-Type inverter has been considered the best choice for many low and medium power applications. Nevertheless, this topology is known as a buck converter. Therefore, in this paper, a new topology incorporating the dc-link type quasi-switched boost network with the traditional three-level T-type inverter is proposed to overcome the limit of traditional three-level T-Type inverter. The space vector pulse width modulation scheme is considered to control this topology, which provides some benefits such as enhancing modulation index and reducing the magnitude of common-mode voltage. For this scheme, the zero, medium, and large vectors are utilized to generate the output voltage. The shoot-through state which is adopted by turning on all power switches of inverter leg is inserted into zero vector to boost the dc-link voltage. As a result, there is no distortion at the output waveform. The control signal of intermediate network power switches is also detailed to improve the boost factor and voltage gain. As a result, the voltage stress on power devices like capacitors, diodes, and switches is decreased significantly. To demonstrate the outstanding of proposed structure and its control strategy, some comparisons between the proposed method and other ones are performed. Simulation and experimental prototype results are conducted to verify the accuracy of the theory and effectiveness of the inverter.
Association of oxidative stress marker ischemia modified albumin and polycystic ovary syndrome in adolescent and young girls

Abstract Objective The pathophysiologic features of polycystic ovary syndrome (PCOS) seem to be a combination of genetic predisposition and environmental factors. However, data regarding the exact effect of oxidative stress on PCOS is conflicting. This cross sectional and case-control study was designed to compare the serum ischemia modified albumin (IMA) levels in adolescent and young girls with and without PCOS. Methods A total of 41 non-obese adolescents and young girls (15–21 years) diagnosed as PCOS and 41 age and body mass index (BMI) matched controls were enrolled to study. The main features of PCOS and markers of chronic inflammation were determined together with serum IMA levels at the time of study enrollment. Results The C-reactive protein and neutrophil-to-lymphocyte ratio were within the normal ranges and also there were no significant difference between the two groups (p>0.05). Serum levels of IMA were significantly increased in adolescents with PCOS respect to healthy controls (0.44±0.12 versus 0.35±0.10 absorbance units, p<0.001). And also there was a significant positive correlation between serum IMA and BMI in all groups (r=0.274, p=0.013). Conclusion Serum IMA levels were higher in PCOS patients than in the healthy controls. This elevation may contribute to the increased cardiovascular diseases risk in PCOS patients.
IT—Information Technology and the Human Interface: Comparison of Different Spray Volume Deposition Models Using LIDAR Measurements of Apple Orchards

This paper reviews the models of spray volume deposition that have been developed to enable the adjustment of pesticide output from an axial fan sprayer to suit different apple orchards. The review has been limited to the empirical models of leaf deposit D formulated as D=Q/UL, where L is a length-scale that describes the scaling effect of crop structure and Q/U is the ratio of the spray volumetric flow rate to sprayer speed which defines the volume application rate on a per unit row length basis. The comparative performance of different models was evaluated using field measurements of leaf deposit on Cox apple trees with different combinations of rootstock, plantation density, age and growth stage. A tractor-mounted light detection and ranging (LIDAR) system was used to record orchard structural detail. Different methods for calculating the length-scale L from this information have been developed based on a range of different orchard crop structural parameters. Linear regression analysis of the measurements showed that the standard method of adjusting pesticide output, based on a linear scaling of the spray volume application rate per unit ground area, accounted for only 9% of the variation in the measurements. The use of other models, based on different geometric scaling parameters of orchard structure were demonstrated to give improved correlation with measurements. Of these models, the best correlation was obtained by using a length-scale proportional to the ratio of the tree volume to total ground area and this accounted for 43% of the variation in the measurements. The use of orchard structure parameters, based on crop area estimates derived from a local Poisson distribution of light transmission, gave further improvements. Of these models, the best correlation was obtained with a length-scale proportional to the tree area density and this accounted for 78% of the variation in the measurements. The tree area density is thus the best single crop structure parameter to use as the basis for pesticide dose expression for the practices of apple orchard spraying represented by these measurements. The calculation of this parameter relies on the availability of LIDAR measurements. Alternatively, a simple method for estimating this parameter might easily be constructed as a pictograph showing the relative tree area density associated with orchard tree images that can be reconstructed from these measurements. This research further identifies the need for this type of crop structural information to improve standardization of the dose recommendations on pesticide labels.
Opinion 2429 (Case 3717) – Xylophagidae Purchon, 1941 (Mollusca, Bivalvia): emended to Xylophagaidae to remove homonymy with Xylophagidae Fallén, 1810 (Insecta, Diptera)

Abstract. The International Commission on Zoological Nomenclature has emended the spelling of the name Xylophagidae Purchon, 1941 (Mollusca, Bivalvia) to remove homonymy with Xylophagidae Fallén, 1810 (Insecta, Diptera). The stem of the molluscan generic name Xylophaga Turton, 1822 has been emended to Xylophaga- to give Xylophagaidae while the dipteran family group name (based on Xylophagus Meigen, 1803) remains unchanged.
Cocoa byproduct in diets for dairy heifers

ABSTRACT This study was conducted to evaluate the effect of substituting Tifton 85 hay (Cynodon sp. cv. Tifton 85) with levels of cocoa (Theobroma cacao) byproduct (0, 8, 16, and 24%, diet dry matter basis) in the diet of 16 Holstein × Gir heifers with an average body weight of 363.0±27.7 kg on their nutrient intake, digestibility, and protein balance. The experimental period was 17 days, and the sample collection period was five days. There was no effect of cocoa [. ]