bluuebunny/crossref_metadata_2025 huggingface dataset:
Habilidades psicológicas en los esports: Estudio cualitativo en jugadores individuales y de equipo
Authors: Bonilla Gorrindo Ivan , Chamarro Andrés , Ventura Carles
Published: May 2022

El presente estudio cualitativo tenía como objetivo principal explorar las habilidades psicológicas clave que afectan al rendimiento de los jugadores en los esports. Un total de diez jugadores de diferentes esports, tanto individuales como en equipo, fueron entrevistados. El análisis de los datos se realizó a través de un análisis temático deductivo-inductivo. Los resultados obtenidos apuntan a que hay tres dimensiones principales que vertebran el rendimiento óptimo de los jugadores que son: (a) Habilidades técnico-tácticas, (b) Habilidades psicológicas y (c) Hábitos saludables. Dentro de las habilidades psicológicas de encontraron 8 componentes: (a) Control atencional, (b) Control emocional, (c) Control de activación, (d) Comunicación, (e) Cohesión de equipo, (f) Control de pensamientos, (g) Control de objetivos y (h) Control Conductual. Además, se encontró cómo tema emergente las carreras que han desarrollado dentro de los esport, donde todos los participantes siguen un patrón similar. Los resultados sugieren la importancia de la psicología del deporte para los esports, al tratarse de una actividad relacionada con el rendimiento, la similitud de las habilidades psicológicas encontradas con las del deporte tradicional, la importancia de trabajar la atención sostenida y afrontar el tilt y la importancia de las carreras de los jugadores de esports.
Kahoot! in Music and Physical Education Disciplines in Higher Education
Authors: García Gil Desirée , Bonastre Vallés Carolina , Avilés Villarroel Carlos , Ramón Otero Irenea
Published: May 2022

Kahoot! platform has been shown to be a versatile, easily accessible and user-friendly. However, according to the scientific literature the platform is more widely used in theoretical subjects and less in more practical fields. In this study, therefore, we conducted a survey of 324 students from two Spanish public universities who used Kahoot in Music and Physical Education during the 2019-2020 academic year. For this purpose, we created a 5-dimension questionnaire: usefulness, fun, learning, interaction and involvement. Confirmatory factor analysis was used to test the questionnaire’s goodness of fit (e.g., CFI=.984), which was found to be adequate. In general, participants rated each of these items positively. Opinions were more favourable in Music than in Physical Education in most dimensions. We observed that second and third year students tended to give higher scores, and that their responses are similar regardless of their university and their previous experience with Kahoot before participating in this study. Our conclusions suggest that Kahoot! allows teachers to present this conceptual content in a different way by integrating both the concepts and procedures in an active, innovative, collaborative methodology that is more attractive to the students, and consequently helps them learn more effectively.
Uso de una aplicación de tableta personalizada para evaluar la comunicación en niños con TEA: AppTEA
Authors: Guzman Guido , Gago-Galvagno Lucas , Quiroz Nicolas , Serafini Matias , Pallia Roberto , Risk Marcelo
Published: May 2022

El uso de dispositivos digitales para tratar a personas con trastorno del espectro autista (TEA) tiene buena aceptación, pero hasta el momento no se han registrado investigaciones en Argentina que analicen empíricamente su aporte en cuanto a los comportamientos comunicativos. El objetivo de esta investigación consistió en evaluar la implicación de los dispositivos digitales por lo que respecta a dos parámetros conductuales: la postura y el foco atencional de niños con TEA. Para llevarlo a cabo se analizaron 211 sesiones (vídeos) de 11 niños (edad, Media = 6.45 años, DE = 1.30) durante la utilización de la aplicación AppTEA y dispositivos tradicionales en interacciones con profesionales, en el contexto de unas actividades terapéuticas. Como resultado se encontró que en las sesiones, los niveles y las tendencias de postura y el foco atencional fueron similares, independientemente de los dispositivos empleados. Por lo tanto, si bien las tecnologías y los softwares específicos pueden complementar y apoyar los objetivos terapéuticos, no pueden sustituir el cuidado humano y el apoyo social y terapéutico para los niños.
TROPOMI/S5P Total Column Water Vapor Validation against AERONET ground-based measurements
Authors: Garane Katerina , Chan Ka Lok , Koukouli Maria-Elissavet , Loyola Diego , Balis Dimitris
Published: May 2022

Abstract. Water vapor plays a very important role on the greenhouse effect, rendering it an atmospheric constituent that requires continuous and global monitoring by different types of remote sensing instruments. The TROPOMI/S5P Total Column Water Vapor (TCWV) is a new product retrieved from the blue wavelength band (435 –455 nm), using an algorithm that was originally developed for the GOME-2/Metop sensors. For the purposes of this work, 2.5 years of continuous satellite observations at high spatial resolution are validated against co-located (in space and in time) precipitable water Level 2.0 (quality-assured) ground-based measurements from the NASA AERONET (AErosol RObotic NETwork). The network uses CIMEL sunphotometers located at approximately 1300 stations globally to monitor precipitable water among other products. The two datasets, satellite and ground-based, were co-located and the percentage differences of the comparisons were calculated and statistically analyzed. The correlation coefficient of the two products is found to be 0.9 and the mean bias of the relative percentage differences is of the order of only -3 % for the mid-latitudes and the tropics (±60°). The effect of various influence quantities, such as air mass factor, solar zenith angle, clouds and albedo are also presented and discussed. It was found that the cloud properties affect the validation results, leading the TCWV to a dry bias of -19 % for low cloudiness (CTP > 800 hPa). The cloud albedo introduces a wet bias of 10 % when the cloud albedo is below 0.3 and a dry bias up to -20 % when the clouds are more reflective. Overall, the TROPOMI/S5P TCWV product, on a global scale and for moderate albedo and cloudiness, agrees well at -4.0 ± 4.3 % with the ground-truth.
Episodic sediment supply to alluvial fans: implications for fan incision and morphometry
Authors: Leenman Anya Sophia , Eaton Brett Curtis
Published: May 2022

Abstract. Sediment supply is widely believed to be a key control on alluvial fan morphology and channel dynamics. Although the sediment supply to natural fans is rather episodic, experimental studies of alluvial fans often use constant sediment supply rates, making it difficult to relate fan dynamics to the magnitude and frequency of sediment supply in the field. This paper presents a series of experiments designed to test the impact of episodic sediment supply on fan evolution and dynamics. We compare four experiments, each with the same mean sediment supply but different durations of high- and low-supply periods. The experiments show that fan morphology and channel dynamics respond systematically to the temporal elongation of sediment supply oscillations: longer supply cycles generate flatter fans with more trenched channels. These results highlight how different basin conditions might generate different fan morphologies: supply limited basins with intermittent sediment supply might generate fans that are flatter than expected. Our results raise the question of whether a constant sediment supply in experimental models can adequately characterise the dynamics of natural fans in the field.
Calculation of Uncertainty in the (U-Th)/He System
Authors: Martin Peter E. , Metcalf James R. , Flowers Rebecca M.
Published: May 2022

Abstract. Currently there is no standardized approach for reporting date uncertainty in the (U-Th)/He system, partly due to the fact that the methods and formulae for calculating single-grain uncertainty have never been published. This creates challenges for interpreting the expected distribution of dates within individual samples and of dates generated by differing labs. Here we publish two procedures to derive (U-Th)/He single-grain date uncertainty (linear and Monte Carlo uncertainty propagation), based on input 4He, radionuclide, and isotope-specific FT values and uncertainties. We also describe a newly released software package, HeCalc, that performs date calculation and uncertainty propagation for (U-Th)/He data. Using this software, we find that date uncertainty decreases with increasing age for constant relative input uncertainties. Skew in date probability distributions (i.e., asymmetrical uncertainty) yielded by the Monte Carlo method varies with age and increases with increasing relative input uncertainty. Propagating uncertainties in 4He and radionuclides using a compilation of real (U-Th)/He data (N = 1978 apatites, and 1753 zircons) reveals that the uncertainty budget in this dataset is dominated by uncertainty stemming from the radionuclides, yielding median relative uncertainty values of 2.9 % for apatites and 1.7 % for zircons. When uncertainties in FT of 2 % or 5 % are assumed and additionally propagated, these values increase to 3.3 % and 5.0 % for apatite, and 2.4 % and 4.7 % for zircon. The potentially strong influence of FT on the uncertainty budget indicates the need to better quantify and routinely propagate FT uncertainty into (U-Th)/He dates. Skew is generally positive and can be significant, with ~14 % of apatite dates and ~5 % of zircon dates characterized by skew of 10 % or greater. This outcome indicates the value of applying Monte Carlo uncertainty propagation to identify samples with substantially skewed uncertainties that should be considered during data interpretation. The formulae published here and the associated HeCalc software can aid in more consistent (U-Th)/He uncertainty reporting and enable a more rigorous understanding of when and why multiple aliquots from a sample differ beyond what is expected from analytical and FT uncertainties.
Coasts for Kids (C4K): a transdisciplinary science communication effort
Authors: Delgado Fernandez Irene
Published: May 2022

‘Coasts for Kids’ (coastsforkids.com) is a series of animations developed as part of a collaborative experience between children and their families, coastal scientists, teachers, community artists, coastal managers, and illustrators. The videos are targeted at Primary School kids and wider audiences. It was co-ordinated by scientists in the NW of England in partnership with Sefton Council and the Southport Eco Centre (UK). The scientific committee included coastal geomorphologists, physical geographers, coastal ecologists, and human geographers from Universities in the UK, Australia, Canada, Spain, France and Mexico. Educational & community support was an essential part of the project and included teachers, author and community artists, illustrators, and coastal managers.

The episodes were narrated by school children aged 6-8 years old from the Merseyside area (Liverpool City Region, UK). The aim of the project was to empower kids (and adults) to understand some of the complex interactions regulating coastal dynamics at a variety of temporal and spatial scales, and to trigger awareness and interest on coasts from an early age. The episodes have reached hundreds of thousands in online media and have been watched in many countries including the UK, Spain, Australia, Canada, Portugal, Turkey, Ireland, Netherlands, Argentina, Mexico, Brazil, Germany, Colombia, South Africa, etc. The series was endorsed by the NW Regional Flood and Coastal Committee in England and became part of KS2 education packages (e.g., the Flooding Education Package at The Flood Hub and the Countryside Classroom). The language of the videos was adapted and carefully selected by our educational committee for its inclusivity, inviting diversity, and representativity, which is something particularly important in STEM disciplines.

This talk will discuss the key elements of the success of C4K, including the steps undertaken by the transdisciplinary team (families, kids, scientists, and teachers) to develop the videos and make the final resource freely available to download and share. Important core elments in the project also included efforts to maximise kids' abilities to link ideas and develop their own understanding of coastal environments.
River network and hydro-geomorphological parameters at 1∕12° resolution for global hydrological and climate studies
Authors: Munier Simon , Decharme Bertrand
Published: May 2022

Abstract. Global-scale river routing models (RRMs) are commonly used in a variety of studies, including studies on the impact of climate change on extreme flows (floods and droughts), water resources monitoring or large-scale flood forecasting. Over the last two decades, the increasing number of observational datasets, mainly from satellite missions, and increasing computing capacities have allowed better performance by RRMs, namely by increasing their spatial resolution. The spatial resolution of a RRM corresponds to the spatial resolution of its river network, which provides the flow directions of all grid cells. River networks may be derived at various spatial resolutions by upscaling high-resolution hydrography data.
This paper presents a new global-scale river network at 1/12∘ derived from the MERIT-Hydro dataset. The river network is generated automatically using an adaptation of the hierarchical dominant river tracing (DRT) algorithm, and its quality is assessed over the 70 largest basins of the world. Although this new river network may be used for a variety of hydrology-related studies, it is provided here with a set of hydro-geomorphological parameters at the same spatial resolution. These parameters are derived during the generation of the river network and are based on the same high-resolution dataset, so that the consistency between the river network and the parameters is ensured. The set of parameters includes a description of river stretches (length, slope, width, roughness, bankfull depth), floodplains (roughness, sub-grid topography) and aquifers (transmissivity, porosity, sub-grid topography).
The new river network and parameters are assessed by comparing the performances of two global-scale simulations with the CTRIP model, one with the current spatial resolution (1/2∘) and the other with the new spatial resolution (1/12∘). It is shown that, overall, CTRIP at 1/12∘ outperforms CTRIP at 1/2∘, demonstrating the added value of the spatial resolution increase.
The new river network and the consistent hydro-geomorphology parameters, freely available for download from Zenodo (https://doi.org/10.5281/zenodo.6482906, Munier and Decharme, 2022), may be useful for the scientific community, especially for hydrology and hydro-geology modelling, water resources monitoring or climate studies.
A global drought dataset of standardized moisture anomaly index incorporating snow dynamics (SZIsnow) and its application in identifying large-scale drought events
Authors: Tian Lei , Zhang Baoqing , Wu Pute
Published: May 2022

Abstract. Drought indices are hard to balance in terms of versatility (effectiveness for multiple types of drought), flexibility of timescales, and
inclusivity (to what extent they include all physical processes). A lack of consistent source data increases the difficulty of quantifying
drought. Here, we present a global monthly drought dataset with a spatial resolution of 0.25∘ from 1948 to 2010 based on a multitype and multiscalar drought index, the standardized moisture anomaly index
incorporating snow dynamics (SZIsnow), driven by systematic fields from an advanced data assimilation system. The proposed
SZIsnow dataset includes different physical water–energy processes, especially snow processes. Our evaluation of the dataset demonstrates
its ability to distinguish different types of drought across different timescales. Our assessment also indicates that the dataset adequately
captures droughts across different spatial scales. The consideration of snow processes improved the capability of SZIsnow, and the
improvement is particularly evident over snow-covered high-latitude (e.g., Arctic region) and high-altitude areas (e.g., Tibetan Plateau). We found
that 59.66 % of Earth's land area exhibited a drying trend between 1948 and 2010, and the remaining 40.34 % exhibited a wetting trend. Our
results also indicate that the SZIsnow dataset can be employed to capture the large-scale drought events that occurred across the
world. Our analysis shows there were 525 drought events with an area larger than 500 000 km2 globally during the study period, of which
68.38 % had a duration longer than 6 months. Therefore, this new drought dataset is well suited to monitoring, assessing, and characterizing
drought and can serve as a valuable resource for future drought studies. The database is available at http://doi.org/10.5281/zenodo.5627369
(Wu et al., 2021).
Laboratory Measurements of the Performances of the Sweeping Langmuir Probe Instrument Aboard the PICASSO CubeSat
Authors: Ranvier Sylvain , Lebreton Jean-Pierre
Published: May 2022

Abstract. The Sweeping Langmuir Probe (SLP) is one of the instruments on board the triple unit CubeSat PICASSO, an ESA in-orbit demonstrator launched in September 2020, which is flying at about 540 km altitude. SLP comprises 4 small cylindrical probes mounted at the tip of the solar panels. It aims at performing in-situ measurements of the plasma parameters (electron density and temperature together with ion density) and of the spacecraft potential in the ionosphere. Before the launch, the instrument, accommodated on an electrically representative PICASSO mock-up, has been tested in a plasma chamber. It is shown that the traditional orbital-motion-limited collection theory used for cylindrical Langmuir probes cannot be applied directly for the interpretation of the measurements because of the limited dimensions of the probes with respect to the Debye length in the ionosphere. Nevertheless, this method can be adapted to take into account the short length of the probes. To reduce the data downlink while keeping the most important information in the current-voltage characteristics, SLP includes an on-board adaptive sweeping capability. This functionality has been validated both in the plasma chamber and in space and it is demonstrated that, with a reduced number of data points the electron retardation and electron saturation regions can be well resolved. Finally, the effect of the contamination of the probe surface, which can be a serious issue in Langmuir probe data analysis, has been investigated. If not accounted for properly, this effect could lead to substantial errors in the estimation of the electron temperature.
Lossy checkpoint compression in full waveform inversion: a case study with ZFPv0.5.5 and the overthrust model
Authors: Kukreja Navjot , Hückelheim Jan , Louboutin Mathias , Washbourne John , Kelly Paul H. J. , Gorman Gerard J.
Published: May 2022

Abstract. This paper proposes a new method that combines checkpointing methods with error-controlled lossy compression for large-scale high-performance full-waveform inversion (FWI), an inverse problem commonly used in geophysical exploration. This combination can significantly reduce data movement, allowing a reduction in run time as well as peak memory. In the exascale computing era, frequent data transfer (e.g., memory bandwidth, PCIe bandwidth for GPUs, or network) is the performance bottleneck rather than the peak FLOPS of the processing unit. Like many other adjoint-based optimization problems, FWI is costly in terms of the number of floating-point operations, large memory footprint during backpropagation, and data transfer overheads. Past work for adjoint methods has developed checkpointing methods that reduce the peak memory requirements during backpropagation at the cost of additional floating-point computations. Combining this traditional checkpointing with error-controlled lossy compression, we explore the three-way tradeoff between memory, precision, and time to solution. We investigate how approximation errors introduced by lossy compression of the forward solution impact the objective function gradient and final inverted solution. Empirical results from these numerical experiments indicate that high lossy-compression rates (compression factors ranging up to 100) have a relatively minor impact on convergence rates and the quality of the final solution.
Comparing water uptake patterns of two plantations using stable isotopes in Chinese Loess Plateau
Authors: Cui Yongsheng , Pan Chengzhong , Ma Lan , Sun Zhanwei
Published: May 2022

Abstract. Understanding the water consumption mechanism of plantations is of great significance for the selection of afforestation trees and ecologically sustainable watershed management in semi-arid areas. In this study, Robinia pseudoacacia and Pinus tabulaeformis plantations, which have been widely planted in Chinese Loess Plateau, were selected to investigate the possible difference in water uptake modes. The spatial and temporal variations in precipitation, xylem and soil water stable isotope compositions (δ2H, δ18O) in 2019–2020 were analyzed, and the water uptake modes of plantations were quantified using the direct inference approach and MixSIAR model, with contrasting soil moisture dynamics. The results showed that δ18O values were positively correlated with air temperature and negatively correlated with precipitation volume. The δ18O content of surface soil (0–40 cm) closely related precipitation input, while those of deep soil layers (100–200 cm) remained stable. When compared with the direct inference approach, the MixSIAR model performed more effectively in quantifying water apportionment, especially in a drought year. In a drought year, R. pseudoacacia showed strong drought resilience to absorb water from deep soil, the soil layers of 0–40 cm and 40–200 cm contributed 32.9 % and 67.1 % to water absorption of R. pseudoacacia, and 62.2 % and 37.8 % to that of P. tabulaeformis, respectively, while there appeared to be minor differences in soil water uptake between the two plantations in a humid year. Generally, R. pseudoacacia consumed more water than P. tabulaeformis, especially in a humid year, and the former inclined to absorb soil layer with enriched soil moisture. The results indicated that R. pseudoacacia plantation may increase transpiration and cause dried deep soil layers when compared with P. tabulaeformis. This study improves our understanding of water uptake mechanisms of plantations and helps with selection of suitable plant species for ecological management in Chinese Loess Plateau.
Helping students find their statistical voices
Authors:   Queensland University of Technology, MacGillivary Helen
Published: May 2022

Communication in statistics is multifaceted, and is involved in all phases of statistical analysis and modelling: planning, collecting, handling, exploring and discussing data; articulation, synthesis and development of probabilistic/statistical models; understanding and applying concepts; and using, interpreting and reporting results of, formal statistical analyses in context. An important thread throughout, for students in their learning, and for statisticians in communicating, is connecting with everyday and “already-owned” concepts in probability and data. This paper discusses and analyses strategies that have been integrated throughout some introductory tertiary courses to help students develop their communication in, and of statistics - to themselves, with others, and in carrying out all aspects of statistical data investigations, analyses, interpreting and reporting.
Enabling students to communicate statistical findings.
Authors:   Macquarie University, Prvan Tania , Ascione Judith ,   University of Canberra
Published: May 2022

In the University of Canberra general education course “The World of Chance” in 2002, students had to do a web site group project with oral presentation. In previous years they did a poster. Various aspects of “The World of Chance” course were aimed at teaching students to communicate statistics effectively. The web site project and oral presentation were instigated to encourage students to communicate statistics effectively. Students first submitted a project proposal, if this problem was acceptable they then had to proceed to collect their “own” data and then undertake exploratory and statistical analyses of the data using techniques learnt during the course. Feedback on their experience of this approach highlighting their communication skills was mostly favourable and most groups managed to successfully convey the messages in their data.
Enhancing effective communication of statistical analysis to non-statistical audiences
Authors:   University of Ballarat, Martin Peter
Published: May 2022

This paper explores the potential of enhancing effective communication of information arising from statistical analyses to a non-statistical audience using various graphical forms. In this regard we can learn a lot from the business world where often senior management don’t have the time to wade through complex summary tables of statistical analyses. It is far more efficient to use good graphic displays in order to communicate the essential ideas. Modern computer software packages offer a goldmine of opportunities to present statistical information to non-statistical audiences. As communicators we need to provide appropriate experiences within the structure of our teaching and/or consulting programs. The importance of context in understanding graphical output is discussed as well as examples of a few of the many and various graphical options available in several commonly used software packages.
University-level data analysis courses with the emphasis on understanding and communication of statistics –a ten years action research project
Authors:   Tallinn Pedagogical University, Niglas Katrin , Osula Kairi ,   Tallinn Pedagogical University
Published: May 2022

In 1994, an action research project was initiated in Tallinn Pedagogical University (Estonia) with the aim to work out and implement a new course in statistics for students of social sciences and education. It was considered important to develop the students’ ability to understand the practical, real life meaning of statistical concepts as well as the ability to communicate statistics in two different (Estonian) languages: in so called “statistical language” and “everyday language understandable also to a layman.” During the year 2004 about 300 students who had completed data analysis course were given semi-structured survey questionnaires focussing especially on the communication aspects of the course. This paper will give an overview of the main results which tend to support strongly the approach that assumes the active involvement of students and emphasises the development of communication skills.
Assessing large second year undergraduate service courses in data analysis
Authors:   The University of Auckland, Forster Mike , Smith David ,   The University of Auckland
Published: May 2022

The guiding principle in the assessment of any course is that we must assess what we teach. We begin by outlining the assessment instruments we use and discuss how we use these instruments to assess what we teach. We then look at the following assessment considerations: firstly, two specific types of questions we use and why we use them, then equity for students across semesters, the time and cost associated with assessment, some strategies and administrative tools and finally, one of the biggest challenges, finding enough suitable data sets to use.
Assessing understanding in statistics
Authors:   Swinburne University of Technology, Lipson Kay
Published: May 2022

Using a framework for assessing dimensions of understanding in statistics a series of assessment tasks were developed by the researcher to address both procedural and conceptual understanding. This paper describes these tasks, together with the results of students’ performance on the tasks. It will be shown that, while some of the tasks developed did assess the dimension of knowledge which they were developed to address, and some did not, overall it was possible to develop tasks to specifically assess both procedural and conceptual knowledge in statistical inference.
A techno-pedagogical design for assessment within the bologna reform: a cross-border experiment
Authors:   University of Vigo, Novegil Souto José Vicente , De Sousa Bruno ,   University of the Minho
Published: May 2022

The Bologna educational reform taking place across Europe has reached Spain and Portugal. It places the student as the center of the entire process of teaching and learning, recognizing two main types of learning: presential and non-presential. With this in mind, the assessment methods need to be redefined and adapted to this new reality, where tutoring and learning must be integrated in the assessment process. This study takes place in two Introductory Statistics courses, one located in Vigo (Spain) and one in Guimarães (Portugal) and the results show an improvement in students’ grades and also allow a more solid learning process achieved by the continuous nature of the method. Having the material virtual in Learning Management Systems (LMS) simplifies the work of the teacher and encourages the students to develop new study habits necessary for their success within the new reality of the Bologna reforms.
The transition from university to work: a case study
Authors:   “Sapienza” University of Rome, Ottaviani Maria Gabriella , Ricci Roberto ,   National Agency for School System Support
Published: May 2022

Teaching statistics to future statisticians should take into account both statistical knowledge and personal skills needed in the statisticians’ professional life. Based on a questionnaire designed to assess competencies actually needed by statisticians in the workplace, this paper aims to detect if the competence framework helps to better understand the transition from university to work. With this objective, three metric profiles are proposed to locate knowledge, “relational skills” and actually performed activities, and graduate scores. The graduates in Statistical Sciences from ”Sapienza” University of Rome from March 2000 to March 2001 were acquired as emblematic cases in Spring 2004. There were 146 respondents out of the total of 296 graduates in the time period. The Rasch analysis is applied to analyze the data and to build on the profiles. In particular the analysis was performed applying the Rasch family response models to polytomous items. The item parameters and the latent trait value for each respondent are estimated by the joint maximum likelihood method. The analysis results could be useful in order to design curricula for university degrees in Statistics that would make the university-workplace transition process easier.
Objective assessment of forecasting assignments using some function of prediction errors
Authors:   Swinburne University of Technology, Clarke Stephen
Published: May 2022

One way of examining forecasting methods via assignments is to give each student a real or simulated set of data, with a requirement to forecast future values. However checking the accuracy of calculations for the host of possible methods can be onerous. One solution is to make part or the entire assessment dependent on the accuracy of the forecasts obtained. This mirrors real life, where forecasts are judged not by the method used but by how accurate the predictions turn out. This paper investigates how this might work with an actual example. Using simulated data from a model which incorporates trend, seasonality, Easter effect and randomness, we use a function of the mean square error of the forecasts to determine the final mark for a variety of methods. Results indicate that the students who have put in more work, and/or fitted the better models, would obtain the better marks.
Assessment of a writing course in statistics
Authors:   Simon Fraser University, Weldon Larry
Published: May 2022

Several researchers have recommended the inclusion of writing exercises in statistics courses. This paper describes the initiation of a course designed to provide statistics students with experience in writing about statistics ideas and results. The curriculum for the new course specifies the procedure for the course, but leaves the statistics content open. Assessment of an "experience" course like this is quite different from assessment of a "statistical techniques" course. A principal aim of the course is to improve students' ability to explain statistical techniques verbally. The process of verbalization is helpful in promoting a deeper understanding of techniques already introduced in earlier courses. This paper describes the strategies used to adapt assessment to this new kind of statistics course. A protocol for marking revised reports as well as checking for authorship is described, as are the component weightings for student grades in the course.
Embedding statistical assessment within cross-curricular materials.
Authors:   University of Durham, Ridgway Jim , Nicholson James ,   University of Durham, Mccusker Sean ,   University of Durham
Published: May 2022

Many subjects in the school curriculum engage with contexts where multiple factors interact. Historically however, data have rarely been used at school level in such contexts because of the difficulties inherent in understanding multiple variable relationships. Stronger links across traditional subjects has proved an elusive aspiration for curriculum developers. We are currently engaged in a pilot project with the Northern Ireland Curriculum Authority (CCEA) to use some innovative interfaces with multivariate summary data as a focus for multiple perspectives on various contexts. Innovations in curriculum design offer opportunities for innovation in assessment. Often statistics assessment focuses primarily on accurate performance of routine calculations or graphical construction. Here the use of data is primarily to enhance understanding. This paper will explore mechanisms for embedding assessment of key statistical concepts within cross-curricular activities.
Living inclusion
Authors: Alvarado Lancheros Teresa
Published: May 2022

Cuando la sociedad y el sistema educativo avanzan en el reconocimiento de la exclusión social y educativa, de hecho se actúa frente a la exclusión histórica que desde siempre ha segregado y excluido a grupos poblacionales, por razones de lugar de procedencia geográfica, condición cognoscitiva y/o física, creencia religiosa, por cómo piensa, la práctica de una ideología política o la condición económica, convirtiendo estas particularidades en verdaderos obstáculos para la inclusión, la convivencia humana, el ejercicio de procesos pedagógicos y la práctica de la democracia en la escuela, la comunidad y el Estado.
Yapay Zekâ ve Hemşirelik
Authors: Akgerman Ayşe , Özdemir Yavuz Ezgi Dilan , Kavaslar İbrahim , Güngör Serkan
Published: May 2022

The field of use of artificial intelligence technology is also increasing rapidly in health services, which is a very important part of the service sector. The widespread use of artificial intelligence technology, which has humanoid features, in nursing care practices is seen as a new field for nurses to learn. This review is designed to address the importance of ethics in nursing education, care practices and management, and the importance of ethics in artificial intelligence practices by integrating ar-tificial intelligence technology to meet the patient needs of nurses who make decisions in nursing care processes with professional knowledge, clinical experience and instinct
OCCUPATIONAL DEFTNESS REQUIRED BY AGRICULTURAL GRADUATES IN DUCK PRODUCTION FOR INCOME GENERATION IN ABIA STATE, NIGERIA
Authors: Enoch J. U. , Enoch O. C. , Mbanugo E. C.
Published: May 2022

Even with the recompense in duck production, duck is yet to rise to a significant level in contributing to meat and egg production as chicken. This study was designed to find out the occupational deftness required by graduates of agriculture in duck (Muscovy) production for income generation in Abia State. Four Objectives guided the study, and four null hypotheses were also formulated and tested. A survey research design was adopted for the study and a structured questionnaire was developed and face validated by three validates all from Michael Okpara University of Agriculture and used for data collection. The questionnaire was tested for reliability and a reliability Cronbach’s alpha value of 0.82 was obtained for the instrument. The population of the study was 220 comprising 119 poultry farmers and 101 extension agents in Abia State. The whole of the population was studied. The data collected were analyzed using mean and standard deviation to answer the research questions while t-test statistic was used for testing the null hypotheses at the probability of 0.05level of significance. The findings from the study revealed that the identified 45 items of occupational deftness’ were seen as required in duck production. Based on the findings of the study, the researcher recommended that the Abia state ministry of agriculture should make use of the findings of this study to organize capacity building programmes in the State to teach and enlighten farmers and graduates of agriculture on the 45 identified deftness which will ensure their increased efficiency in duck production.
HAND-WASHING KNOWLEDGE AND PRACTICE AMONGST HEALTHCARE PRACTITIONERS IN PRIVATE HOSPITALS IN IJEBU ODE, NIGERIA
Authors: Otto E. E. , Luyi D. O.
Published: May 2022

The healthcare-related infection has been a foremost national and international public health concern with millions of people affected globally and thus constituting a grave matter for patient health, and as much as 5 to 10% of hospitals admissions in industrialized nations of the world (Pittet et al., 2008), with the risk similarly as high as 19%, in developing nations and therefore presenting a very serious challenge to health care workers (Angel, 2015). As a result, this study evaluates healthcare practitioners' knowledge and practice of handwashing in private health care facilities in Ijebu Ode, Nigeria. A cross-sectional descriptive design was utilized, and the collection of data was through a structured questionnaire from 98 consenting participants selected through purposive sampling and was descriptively analyzed utilizing Microsoft Excel and a statistical tool for social sciences. According to the results, a good number of health practitioners in private facilities in Ijebu Ode have high knowledge and hand-washing practice with 96.9% and 837% respectively. Hence, the work concluded that health care practitioners in private hospital facilities in Ijebu Ode have adequate knowledge of hand hygiene and practice. The study, however, suggested that hospital authorities should ensure adequate motivation and amenities for hand-washing activities are made available to ensure its sustainability.
Minimization of Attributes for the Detection of Vulnerabilities in Android Applications
Authors:   Uka Tarsadia University, India, Rathod Jigna , Bhatti Dharmendra
Published: May 2022

Bluetooth, MMS, SMS, e-mail, and other mobile-specific applications may constitute deliberate threats, resulting in financial losses as well as the revealing of sensitive user data. To circumvent this, different approaches have lately been applied, such as static analysis-based detection or dynamic analysis-based detection. However, some of these strategies have become saturated as a result of massive increase in malware code authoring techniques. As a result, there is a need for an effective android privacy-leakage vulnerability detection technique, for which this research used hybrid features such as standard permissions, non-standard permissions, system call traces, and network traffic to conduct experimental tests. We presented a method to prioritize the attributes in order to select the most prominent features, with the purpose of minimizing the number of attributes to be investigated while retaining good detection accuracy. To rank the attributes in this dimension, we used a variety of statistical approaches. The findings of the experiments reveal that selecting attributes for vulnerability detection resulted in higher detection accuracy than assessing Accuracy using all attributes. To assess the efficacy of the suggested attribute selection procedure, we deployed a neural network. With the prominent attributes chosen by the proposed algorithm, the neural network attained an accuracy of 96.41 percent, which is 2% higher than the accuracy we achieved with all of the attributes combined.
Encrypted Biometric Authenticated ATM System – An Overview
Authors: Doultani Mannat , Khole Riddhi , Rohra Nidhi , Rashid Muheet , Joag Nachiket
Published: May 2022

Choosing a biometric framework helps provide Identity for a person based upon various anomalous characteristics and specialties. For various purposes, we use various methods of biometric identification. Fingerprint and Iris scanning are some of the challenging and prominent methods which provide challenging patterns. Taking the challenges to security into consideration, we choose to take our system ahead with the help of Fingerprint and Iris scanning. Inexpensive and easily available apparatus provides another opportunity to test the datasets more clearly and precisely with proper scanning. Using these frameworks can help provide various benefits for the ATM (Automated Teller Machine) systems. The current ATM card PINs are easily traceable and can be misused. To overcome this weakness in current ATM systems, along with the ATM card PINs the security can be much enhanced by combining the PIN, Fingerprint scanning, and Iris Scanning altogether. Every individual's Biometric details would be updated by the bank and linked to the bank account.
Automated Face Mask and Contactless Temperature Verification using CNN and DHT11
Authors:   Department of Computer Science and Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Andhra Pradesh, India, Bitra Lahari , Saidu Divya , Lanka Kundana , Gampa Sirisha , Sallagundla Babu
Published: May 2022

One has to wear a mask properly, be checked for normal temperature, and be sanitized before entering the building. Currently, the watchman of the building or certain people specially hired for the role, are performing the above tasks manually. Although the manual process has its benefits, this is quite a time taking process and also has the danger of exposing the person at the checking booth to the corona affected patients directly. Keeping the gigantically pervasive corona pandemic in mind, if the above process goes automatic, it could reduce the manpower, eliminate the danger of contact with corona patients, use time efficiently, and would be cost-effective. It is a fact that face mask recognition systems already exist, but a complete system for all the above-mentioned tasks does not exist at the moment. Our idea is to propose a system called “Automated Face Mask Verification and Tempera-ture Verification using Convolutional Neural Networks (CNN) and DHT11” which includes all the above functionalities that would be done automatically without the physical presence of anyone. To achieve the major objective called accuracy in Face Mask Verification, CNN models are chosen as model training algorithms. This system also explores how to achieve contactless temperature verification reliably using the most popular cost-efficient, contact sensor called DHT11 with a comparative analysis on the existing contactless temperature measurement techniques.
THE CULTIVATING SEEDS SYSTEM™ (CSS™): A POTENTIAL FRAMEWORK TO INCREASE MENTAL HEALTH RESOURCES
Authors:   Indiana University South Bend, Larrier Yvonne , Allen Monica
Published: May 2022

Global mental health research is continuing to unearth the multiple systemic barriers that over 80% of the world’s population experiences in their search for cultural, contextual, and efficient mental health treatment and services. The widespread gaps and shortages in treatment, research, interventions, financial resources, and mental health care specialists are enduring and expansive thus leaving behind many communities and societies in low and middle income countries and high income countries. Whereas there are numerous approaches to these gaps, this article proposes a re-conceptualized approach to the promotion, practice, and intervention of mental health services locally and globally, with the Cultivating SEEDS System (CSS™) framework. This framework addresses two of the most prevalent barriers – the stigma associated with accessing mental health care resources, and the lack of mental health care professionals.
A TECNOLOGIA COMO CONTEXTO NECESSÁRIO NA FORMAÇÃO DOCENTE EM TEMPOS DE PANDEMIA: DESAFIOS E MUDANÇAS NO USO TECNOLÓGICO COMO RECURSO DIDÁTICO NO ENSINO REMOTO
Authors: dos Santos Zilda Pereira
Published: May 2022

O estudo aborda a tecnologia como contexto necessário na formação docente e recurso didático no ensino remoto. Objetivou-se analisar a formação docente como uma necessidade de implementação de políticas públicas no cenário da educação em tempos de pandemia, e introdução da tecnologia como ferramenta inovadora na prática pedagógica e promoção da inclusão digital. Caracteriza-se como pesquisa de campo, do tipo estudo de caso e abordagem qualitativa, descritiva. Usou-se a técnica de aplicação de questionário para os professores de uma escola pública, município de Canaã/PA. Os resultados apontam que os professores utilizam os recursos tecnológicos no ensino remoto, acreditam no potencial das tecnologias na promoção da aprendizagem e continuidade de trabalhar os objetos de ensino. As considerações revelam reflexões acerca das dificuldades e possibilidades no ensino remoto com uso de tecnologias, além de apresentar relevância na formação docente.
LETRAMENTO DIGITAL: RELATO DE EXPERIÊNCIA DOCENTE
Authors: Silva Adriana dos Reis
Published: May 2022

O presente estudo propõe apresentar um relato de experiência docente acerca de uma sequência didática realizada com estudantes da Educação Básica do Ensino Municipal de Belo Horizonte, a qual busca integrar o letramento digital à metodologia ativa, permitindo o aprendizado a partir de situações vivenciadas pela esfera escolar. Assim, apreender maneiras de reinventar as práticas tradicionais de ensino, por meio da utilização de metodologia ativa em sala de aula, como uma prática que permite nos refletir e executar formas educativas para promover a integração cognitiva, avançando nos processos efetivos de aquisição do conhecimento se torna uma forma relevante do ensino-aprendizagem que precisa ser difundida no espaço acadêmico. Para esse trabalho apoiou-se nos seguintes estudos: a Base Nacional Curricular (2017), Moran (1995, 2015), Lakatos (2003), Dolz e Schneuwly (2004), Bakhtin (1997) entre outros, que nos propiciaram compreender os procedimentos educacionais de maneira estimulante, entendendo o protagonismo estudantil, assim como a construção do conhecimento de forma colaborativa. Logo, é importante (re)conhecer alguns gêneros de maneira a compreender que a aquisição da leitura e da escrita que se estabelecem a partir de determinados suportes e se efetivam por meio dos gêneros digitais, imprescindíveis pela modernidade a qual vivenciamos. Dessa forma, percebeu-se pela SD em questão uma proposta de ensino inusitada, imperativa pela exigência tecnológica atual e muito acalorada pelos estudantes que manifestaram o desejo por mais práticas educacionais que possam contemplar as tecnologias, que afinal se faz significativa, interessante e improtelável para orientarmos em sala de aula.