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Video games are an established medium that provides interactive entertainment beyond pure enjoyment in many contexts. Game designers create dedicated tutorials to teach players the game mechanisms and rules, such as the conventions for interaction, control schemes, core game mechanics, etc. While effective tutorial design is considered a crucial aspect to support this learning process, the existing literature approaches focus on designing ad hoc tutorials for specific game genres rather than investigating the impact of different tutorial styles on game learnability and player engagement. In this paper, we tackle this challenge by presenting a general-purpose approach aimed at supporting game designers in the identification of the most suitable tutorial style for a specific genre of video games. The approach is evaluated in the context of a simple first-person shooter (FPS) mainstream video game built by the authors through a controlled comparative user experiment involving 46 players. [ABSTRACT FROM AUTHOR]

Concepts involving conductors and insulators are challenging at all levels of instruction. Here, we summarized an investigation of the difficulties that introductory students have pertaining to the charging of conductors and insulators and how that research was used as a resource to develop, validate, and evaluate a conceptual tutorial on this challenging topic. The tutorial uses guided inquiry-based teaching–learning sequences and focuses on helping students develop conceptual understanding of charging conductors and insulators using concrete examples. At a large university in the US, we first evaluated whether there was any statistically significant difference on the pretest (before college instruction) between the performance of students who had any high school physics instruction and those who did not on relevant questions. Then, we compared the performance of introductory physics students in the experimental group who engaged with the tutorial and the control group who did not engage with the tutorial and only had traditional, lecture-based instruction. Our analysis shows large improvements from pre- to post-tests (i.e., from before to after instruction) for the tutorial group and large gaps in post-test scores between the nontutorial and tutorial groups. [ABSTRACT FROM AUTHOR]

Teachers can utilize multimedia tutorials on YouTube as a supportive learning medium. These multimedia tutorials have a positive effectiveness in improving the ability to write scientific articles. This media also facilitates students' understanding in composing scientific articles. The research aims to determine the presence and magnitude of the influence of multimedia tutorials on YouTube on the ability to write scientific articles, as well as the differences compared to conventional media (print media). The research adopts method a quasi-experimental design, and nonprobability sampling technique is used to determine the sample. The research findings indicate that multimedia tutorials on YouTube are more effective than print media in teaching scientific article writing. The results show that the average score for writing articles using multimedia tutorials on YouTube is 85.20%, while using print media is 75.93%. Furthermore, the obtained significance value is 0.000, which is smaller than 0.05. In conclusion, there is a significant influence of multimedia tutorials on YouTube on the ability to write scientific articles students at pascasarjana UHAMKA. Abstrak Pengajar dapat memanfaatkan multimedia tutorial di YouTube sebagai media penunjang pembelajaran. Multimedia tutorial ini memiliki efektivitas positif dalam peningkatan kemampuan menulis artikel ilmiah. Media ini juga mempermudah pemahaman mahasiswa dalam menyusun artikel ilmiah. Tujuan penelitian ingin mengetahui ada atau tidak adanya pengaruh multimedia tutorial materi di Youtube terhadap kemampuan menulis artikel ilmiah serta perbedaannya dengan menggunakan media konvensional (media cetak). Penelitian ini menggunakan metode quasi eksperimen. Teknik Nonprobability sampling digunakan dalam penentuan sampel. Didapati hasil penelitian yaitu multimedia tutorial materi di YouTube lebih efektif dibandingkan dengan media cetak pada materi penulisan artikel ilmiah. diperoleh hasil menulis artikel antara menggunakan multimedia tutorial materi di YouTube dengan rata-rata sebesar 85.20%, sedangkan menggunakan media cetak sebesar 75.93%. Diperoleh juga nilai sig 0,000 lebih kecil dari 0,05. Simpulan yang diambil yaitu adanya pengaruh multimedia tutorial materi di Youtube terhadap kemampuan menulis artikel ilmiah mahasiswa pascasarjana UHAMKA.

Las Tecnologías de la Información y las Comunicaciones en la enseñanza pasaron de ser novedad a necesidad. En Matemática se utilizan programas de aplicación denominados asistentes matemáticos y desde el punto de vista docente, algunos de ellos, se utilizan como medios de enseñanza. Tradicionalmente, son introducidos en contenidos específicos, auxiliándose de manuales de usuario y de ejemplos desarrollados en clases. Sin embargo, a partir de técnicas de investigación empleadas se ha detectado que existen bajos niveles de desempeño de los estudiantes, los que no logran concluir las tareas y sólo usan los asistentes cuando se les indica. Debido a esto, el presente trabajo tiene como objetivo aplicar tutoriales de Derive para favorecer su aprendizaje desde la asignatura de currículo propio “Recursos informáticos para el aprendizaje de la Matemática”, logrando un mayor nivel e independencia en dicho aprendizaje. Utilizando una metodología cualitativa, empleando métodos teóricos y empíricos para identificar y caracterizar el problema, la propuesta aplicada arroja mejores resultados. Los tutoriales contienen tareas matemáticas, son explícitos, obligan a un trabajo enteramente digital, motivan el estudio independiente y logran mayores niveles de desempeño.

Digital micromirror devices have gained popularity in wavefront shaping, offering a high frame rate alternative to liquid crystal spatial light modulators. They are relatively inexpensive, offer high resolution, are easy to operate, and a single device can be used in a broad optical bandwidth. However, some technical drawbacks must be considered to achieve optimal performance. These issues, often undocumented by manufacturers, mostly stem from the device’s original design for video projection applications. Herein, we present a guide to characterize and mitigate these effects. Our focus is on providing simple and practical solutions that can be easily incorporated into a typical wavefront shaping setup.

For multi-level systems in hot atomic vapors the interplay between the Doppler shift due to atomic motion and the wavenumber mismatch between driving laser fields strongly influences transmission and absorption properties of the atomic medium. In a three-level atomic ladder-system, Doppler broadening limits the visibility of electromagnetically-induced transparency (EIT) when the probe and control fields are co-propagating, while EIT is recovered under the opposite condition of counter-propagating geometry and $k_\mathrm{p} \lt k_\mathrm{c}$ , with $k_\mathrm{p}$ and $k_\mathrm{c}$ being the wavenumbers of the probe and control fields, respectively. This effect has been studied and experimentally demonstrated as an efficient mechanism to realize non-reciprocal probe light transmission, which may enable applications as magnetic-field free optical isolators. Here, we describe the basics of this effect and discuss a simple picture for the underlying mechanism. We illustrate how the non-reciprocity scales with wavelength mismatch and show how to experimentally demonstrate the effect in a simple Rydberg-EIT system using thermal Rubidium atoms.

Wavefront shaping (WFS) is a technique for directing light through turbid media. The theoretical aspects of WFS are well understood, and under near-ideal experimental conditions, accurate predictions for the expected signal enhancement can be given. In practice, however, there are many experimental factors that negatively affect the outcome of the experiment. Here, we present a comprehensive overview of these experimental factors, including the effect of sample scattering properties, noise, and response of the spatial light modulator. We present simple means to identify experimental imperfections and to minimize their negative effect on the outcome of the experiment. This paper is accompanied by Python code for automatically quantifying experimental problems using the OpenWFS framework for running and simulating WFS experiments.

One of the common methods for implementing the condition-based maintenance of rotating machinery is vibration analysis. This tutorial describes some of the important signal processing methods existing in the field, which are based on a profound understanding of the component’s physical behavior. Furthermore, this tutorial provides Python and MATLAB code examples to demonstrate these methods alongside explanatory videos. The goal of this article is to serve as a practical tutorial, enabling interested individuals with a background in signal processing to quickly learn the important principles of condition-based maintenance of rotating machinery using vibration analysis.

Objectives Automated systems for information extraction are becoming very useful due to the enormous scale of the existing literature and the increasing number of scientific articles published worldwide in the field of medicine. We aimed to develop an accessible method using the open-source platform KNIME to perform text mining (TM) on indexed publications. Material from scientific publications in the field of life sciences was obtained and integrated by mining information on hemolytic uremic syndrome (HUS) as a case study. Methods Text retrieved from Europe PubMed Central (PMC) was processed using specific KNIME nodes. The results were presented in the form of tables or graphical representations. Data could also be compared with those from other sources. Results By applying TM to the scientific literature on HUS as a case study, and by selecting various fields from scientific articles, it was possible to obtain a list of individual authors of publications, build bags of words and study their frequency and temporal use, discriminate topics (HUS vs. atypical HUS) in an unsupervised manner, and cross-reference information with a list of FDA-approved drugs. Conclusions Following the instructions in the tutorial, researchers without programming skills can successfully perform TM on the indexed scientific literature. This methodology, using KNIME, could become a useful tool for performing statistics, analyzing behaviors, following trends, and making forecast related to medical issues. The advantages of TM using KNIME include enabling the integration of scientific information, helping to carry out reviews, and optimizing the management of resources dedicated to basic and clinical research.

Andreas Halgreen Eiset,1,2 Morten Frydenberg3 1Department of Affective Disorders, Aarhus University Hospital–Psychiatry, Aarhus, Denmark; 2Department of Public Health, Aarhus University, Aarhus, Denmark; 3Consultant Biostatistician, Independent, Trige, DenmarkCorrespondence: Andreas Halgreen Eiset, Department of Affective Disorders, Aarhus University Hospital–Psychiatry, Palle Juul-Jensens Boulevard 175, Aarhus N, 8200, Denmark, Tel +45 7847 2450, Email aneise@rm.dkPurpose: Propensity score-weighting for confounder control and multiple imputation to counter missing data are both widely used methods in epidemiological research. Combination of the two is not trivial and requires a number of decisions to produce valid inference. In this tutorial, we outline the assumptions underlying each of the methods, present our considerations in combining the two, discuss the methodological and practical implications of our choices and briefly point to alternatives. Throughout we apply the theory to a research project about post-traumatic stress disorder in Syrian refugees.Patients and Methods: We detail how we used logistic regression-based propensity scores to produce “standardized mortality ratio”-weights and Substantive Model Compatible-Full Conditional Specification for multiple imputation of missing data to get the estimate of association. Finally, a percentile confidence interval was produced by bootstrapping.Results: A simple propensity score model with weight truncation at 1st and 99th percentile obtained acceptable balance on all covariates and was chosen as our model. Due to computational issues in the multiple imputation, two levels of one of the substantive model covariates and two levels of one of the auxiliary covariates were collapsed. This slightly modified propensity score model was the substantive model in the SMC-FCS multiple imputation, and regression models were set up for all partially observed covariates. We set the number of imputations to 10 and number of iterations to 40. We produced 999 bootstrap estimates to compute the 95-percentile confidence interval.Conclusion: Combining propensity score-weighting and multiple imputation is not a trivial task. We present considerations necessary to do so, realizing it is demanding in terms of both workload and computational time; however, we do not consider the former a drawback: it makes some of the underlying assumptions explicit and the latter may be a nuisance that will diminish with faster computers and better implementations.Keywords: observational studies, multiple imputation, propensity score weighting, bootstrap confidence interval, tutorial

Institutional commitment to the student experience in the early stages of university has the greatest potential to exceed student expectations. The cross-institutional Embedded Tutors Program provides undergraduate students with access to subject content experts from 12 first-year subjects across a regional university. Tutors provide one-on-one draft assessment feedback in subjects with a large written assessment task. A total of 428 students attended 615 tutor sessions held online via Zoom. Students who met with a tutor had higher average assessment marks and cumulative subject marks than those students who did not attend a session. Feedback from students was positive, with 78% of students rating the tutor session “extremely helpful.” This study provides evidence of the value of subject-specific draft assessment feedback for students in first-year subjects.

Abstract Background Meta-analysis is a central method for quality evidence generation. In particular, meta-analysis is gaining speedy momentum in the growing world of quantitative information. There are several software applications to process and output expected results. Open-source software applications generating such results are receiving more attention. This paper uses Python’s capabilities to provide applicable instruction to perform a meta-analysis. Methods We used the PythonMeta package with several modifications to perform the meta-analysis on an open-access dataset from Cochrane. The analyses were complemented by employing Python’s zEpid package capable of creating forest plots. Also, we developed Python scripts for contour-enhanced funnel plots to assess funnel plots asymmetry. Finally, we ran the analyses in R and STATA to check the cross-validity of the results. Results A stepwise instruction on installing the software and packages and performing meta-analysis was provided. We shared the Python codes for meta-analysts to follow and generate the standard outputs. Our results were similar to those yielded by R and STATA. Conclusion We successfully produced standard meta-analytic outputs using Python. This programming language has several flexibilities to improve the meta-analysis results even further.

Phased arrays are extensively used in many modern beam-scanning applications such as radar and satellite communications. Electronic beam scanning makes phased arrays an important aspect of modern antenna array systems. This Tutorial aims to promote the basic understanding of the principle and operation of a phased array to general undergraduate students. This paper starts with a discussion on the theory of operation and some basic definitions of antenna parameters followed by derivations of two-element and N-element array patterns and, finally, a five-element array design. The essential hardware based on Phase-Locked Loops (PLLs) as phase controllable RF sources required to build an array and the basic tools required for software and measurement set-up to demonstrate the beam-scanning phased array operation are presented. This enables students to quickly understand and set-up an experiment to verify the phased array operation with commercial off-the-shelf components. In addition, the hardware and software necessary for autonomous control are discussed. By combining basic concepts of phase arrays with a series of simple coding and intuitive laboratory experiments, students can easily understand the Uniform Linear Array (ULA) scanning operation. [ABSTRACT FROM AUTHOR]

In the field of soft robotics, knowledge of material science is becoming more and more important. However, many researchers have a background in only one of both domains. To aid the understanding of the other domain, this tutorial describes the complete process from polymer synthesis over fabrication to testing of a soft finger. Enough background is provided during the tutorial such that researchers from both fields can understand and sharpen their knowledge. Self-healing polymers are used in this tutorial, showing that these polymers that were once a specialty, have become accessible for broader use. The use of self-healing polymers allows soft robots to recover from fatal damage, as shown in this tutorial, which increases their lifespan significantly. [ABSTRACT FROM AUTHOR]

Librarians should evaluate tutorial technology using learning science to successfully teach information literacy asynchronously. There are several technology features to consider including the ability to embed multimedia, give immediate feedback, record data, provide interactivity, allow branching scenarios, ease of use, and accessibility compliance. The purpose of this article is to evaluate popular tutorial technology based on these features while also considering cost and the time required to learn each technology. [ABSTRACT FROM AUTHOR]

Fuzzy set qualitative comparative analysis (fsQCA) is a method for assessing the effects of configurations of variables leading to an outcome. The recent growth of interest in this technique in organizational psychology is proving this method to be an important tool for addressing new and decisive research hypotheses. However, the effectiveness of fsQCA is dictated not only by its general principles, but also by how well these are understood and applied in the research community. Consequently, a guide that covers the fundamental ideas and tenets of the approach is required to aid the research community in its comprehension and practical application. The current study seeks to offer an understanding of FsQCA by providing: (a) A complete description of the method highlighting some of the most important theoretical-methodological aspects; (b) a perspective on the most used guidelines and recommendations, and (c) step-by-step instructions on how to carry out FsQCA in R using the QCA package. Data from 120 employees and supervisors derived from a company based in central Italy were used o best to illustrate how to carry out fsQCA. Codes for conducting the analyses from the QCA package for R accompany the tutorial and can be adapted to a new dataset. [ABSTRACT FROM AUTHOR]

Copyright of Revista de Ciências da Computação is the property of Universidade Aberta and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Innovation in medical education is not only inevitable but a requirement. Manikin-based simulation is currently the gold standard for supplemental clinical training; however, this modality requires significant equipment and personnel to operate. Virtual reality (VR) is emerging as a new method of delivering medical simulation sessions that requires less infrastructure but also allows for greater accessibility and flexibility. VR has slowly been integrated into the medical curriculum in some hospitals; however, more widespread adoption would transform the delivery of medical education for future clinicians. This tutorial introduces educators to the BUILD REALITY (begin, use, identify, leverage, define, recreate, educate, adapt, look, identify, test, amplify) framework, a series of practical tips for designing and implementing a VR-based medical simulation environment in their curriculum. The suggestions are based on the relevant literature and the authors' personal experience in creating and implementing VR environments for medical trainees. Altogether, this paper provides guidance on conducting a needs assessment, setting objectives, designing a VR environment, and incorporating the session into the broader medical curriculum. [ABSTRACT FROM AUTHOR]

Copyright of Papeles: Revista de la Facultad de Educación Universidad Antonio Nariño is the property of Universidad Antonio Narino and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of TE & ET: Revista Iberoamericana de Tecnología en Educación y Educación en Tecnología is the property of School of Computer Science, La Pata University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In an introductory tutorial, we illustrated building cohort state-transition models (cSTMs) in R, where the state transition probabilities were constant over time. However, in practice, many cSTMs require transitions, rewards, or both to vary over time (time dependent). This tutorial illustrates adding 2 types of time dependence using a previously published cost-effectiveness analysis of multiple strategies as an example. The first is simulation-time dependence, which allows for the transition probabilities to vary as a function of time as measured since the start of the simulation (e.g., varying probability of death as the cohort ages). The second is state-residence time dependence, allowing for history by tracking the time spent in any particular health state using tunnel states. We use these time-dependent cSTMs to conduct cost-effectiveness and probabilistic sensitivity analyses. We also obtain various epidemiological outcomes of interest from the outputs generated from the cSTM, such as survival probability and disease prevalence, often used for model calibration and validation. We present the mathematical notation first, followed by the R code to execute the calculations. The full R code is provided in a public code repository for broader implementation. [ABSTRACT FROM AUTHOR]

Decision models can combine information from different sources to simulate the long-term consequences of alternative strategies in the presence of uncertainty. A cohort state-transition model (cSTM) is a decision model commonly used in medical decision making to simulate the transitions of a hypothetical cohort among various health states over time. This tutorial focuses on time-independent cSTM, in which transition probabilities among health states remain constant over time. We implement time-independent cSTM in R, an open-source mathematical and statistical programming language. We illustrate time-independent cSTMs using a previously published decision model, calculate costs and effectiveness outcomes, and conduct a cost-effectiveness analysis of multiple strategies, including a probabilistic sensitivity analysis. We provide open-source code in R to facilitate wider adoption. In a second, more advanced tutorial, we illustrate time-dependent cSTMs. [ABSTRACT FROM AUTHOR]

Copyright of Methods in Ecology & Evolution is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background and Aim: To shift the paradigm from passive tutor driven tutorials to more responsible active learning by the students, a co operative teaching learning method could be a good alternative. The Jigsaw approach, a model of co operative learning, focuses on learning in groups with fellow learner co operation and reassures team work. Thus, this study was aimed at assessing the effectiveness of jigsaw strategy in comparison to tutorials in enhancing cognitive skills among the medical students in microbiology. Materials and Methods: A cross sectional study was carried out at microbiology department for 50 consenting MBBS students of professional year II and 50 consenting B.Sc nursing students of 2nd years. Students were randomly divided into two batches: Aand B of 25 students each. They were prepared for either a jigsaw (Experimental) or tutorial (Control) a week prior on predecided topics. The same groups were crossed over for another topic. Students' performance was assessed by pretest, posttest, academic achievement level, and retention test by prevalidated multiple choice questionnaires. The student perception on TL methods was evaluated by using learning experience questionnaires. Results: Posttest scores of both groups were found to be significant at the level of P < 0.05. Among medical students, mean of posttest scores in the jigsaw is more than tutorial (12.4 v/s 9.7, crossover 13.3 v/s 11.2) and in nursing students (11.7 v/s 8.2, crossover 11.6 v/s 9.9). Mean retention tests scores and absolute achievement level were high in jigsaw groups. The students preferred jigsaw over the tutorial. Conclusion: Jigsaw strategy is a robust instructional tool, well perceived by the students to enhance cognitive skills as inferred by the results and can be tailored to the needs of varied topics across different disciplines. [ABSTRACT FROM AUTHOR]

This tutorial paper examines recent advances in data engineering, focusing on aspects of network management and orchestration. We provide a comprehensive analysis of standardization efforts as well as platform development activities related to data engineering driven network design. We then focus on the integration aspects of the data engineering ecosystem and telecommunication networks. The results of our tutorial investigation show that despite various efforts towards standardization and network management and orchestration platforms, there is still a significant gap in applying recent developments in the evolving data engineering world to the telecommunication domain. New advanced functionalities in data engineering as well as clear separations between the building blocks of data engineering pipelines within the proposed standardized architectures have been overlooked or not explored in detail by the standardization or platform development bodies in the telecommunication domain. Therefore, at the end of the paper, we discuss these gaps and research challenges in the context of future development processes for data engineering-driven network design and applications of data engineering concepts in telecommunication networks. We also propose several recommendations for early adoption of these technologies and frameworks in telecommunication infrastructures and platforms.

We introduce the fundamental tenets of Bayesian inference, which derive from two basic laws of probability theory. We cover the interpretation of probabilities, discrete and continuous versions of Bayes' rule, parameter estimation, and model comparison. Using seven worked examples, we illustrate these principles and set up some of the technical background for the rest of this special issue of Psychonomic Bulletin & Review. Supplemental material is available via https://osf.io/wskex/ .

The review reveals the specificity of the authors approach to the phenomenon of acmeism. It has been proven that the work under review is a tutorial of a new type. So, at the substantive level, the book is included in the scientific discourse and correlates with the genre format of the monograph, at the formal compositional level, it is associated with the genre format of the tutorial.

Abstract: Insturctional media is a component that can not be separated from instructrional activities. One format of learning media that is applied in classroom learning activities is interactive learning multimedia (MPI). However, unfortunately the teacher's limited ability to develop it. Therefore, this research and development attempt to develop a tutorial on designing and developing learning multimedia. The method of developing this tutorial applies the stages of learning multimedia design from Lee and Owens. The subjects of this study were the teachers in Bajangan State Elementary School, Pasuruan Regency. The effectiveness of media tutorials is tested by media experts, material experts, and by media design experts. While the field testing itself is carried out by the teachers. From various tests, the tutorial media can be said to be feasible as learning media. The final form of the developed tutorial media is an excecutable (.exe) program that is packaged into compact discs. Abstrak: Media pembelajaran merupakan komponen yang tidak dapat dipisahkan dari kegiatan pembelajaran. Salah satu format media pembelajaran yang diterapkan dalam kegiatan pembelajaran di kelas adalah multimedia pembelajaran interaktif (MPI). Namun, sayangnya keterbatasan kemampuan guru untuk mengembangkannya. Oleh karena itu, penelitian dan pengembangan ini berusaha mengembangkan suatu tutorial merancang dan mengembangkan multimedia pembelajaran. Metode pengembangan tutorial ini menerapkan tahap-tahap desain multimedia pembelajaran dari Lee dan Owens. Subjek penelitian ini adalah para guru di lingkungan SD Negeri Bajangan Kabupaten Pasuruan. Keefektifan media tutorial diuji oleh ahli media, ahli materi, dan oleh ahli desain media. Sedangkan uji lapangan sendiri dilakukan oleh para guru. Dari berbagai uji tersebut, media tutorial dapat dikatakan layak sebagai media pembelajaran. Wujud akhir dari media tutorial yang dikembangkan adalah berupa program excecutable (.exe) yang dikemas ke dalam keping compact disc.

A very common way to estimate the parameters of a hidden Markov model (HMM) is the relatively straightforward computation of maximum likelihood (ML) estimates. For this task, most users rely on user‐friendly implementation of the estimation routines via an interpreted programming language such as the statistical software environment R. Such an approach can easily require time‐consuming computations, in particular for longer sequences of observations. In addition, selecting a suitable approach for deriving confidence intervals for the estimated parameters is not entirely obvious, and often the computationally intensive bootstrap methods have to be applied. In this tutorial, we illustrate how to speed up the computation of ML estimates significantly via the R package TMB. Moreover, this approach permits simple retrieval of standard errors at the same time. We illustrate the performance of our routines using different data sets: first, two smaller samples from a mobile application for tinnitus patients and a well‐known data set of fetal lamb movements with 87 and 240 data points, respectively. Second, we rely on larger data sets of simulated data of sizes 2000 and 5000 for further analysis. This tutorial is accompanied by a collection of scripts, which are all available in the Supporting Information. These scripts allow any user with moderate programming experience to benefit quickly from the computational advantages of TMB. [ABSTRACT FROM AUTHOR]

Different from traditional practice that considers factor analysis as either exploratory or confirmatory, different amounts of substantive information can be available in between the confirmatory and exploratory extremes under the partially confirmatory approach. Based on Bayesian Lasso methods, three models were recently proposed for various types of data under the new approach: the partially confirmatory factor analysis (PCFA), generalized PCFA, and partially confirmatory item response model. All models with related variants can be implemented in the R package LAWBL, which is available free of charge. This article introduces the theoretical and statistical foundation of the three models in a unified framework, including model formulation, identification, variants, and Bayesian inference and estimation with regularizations. Didactic examples covering different scenarios are employed to illustrate the implementation of the models and their variants in LAWBL step by step. Guidelines and suggestions are given to researchers and practitioners in a discussion. [ABSTRACT FROM AUTHOR]

Mathematics interventions are being provided for students nationwide who perform below basic on various assessments. The assessment of students' performance in Mathematics gave rise to the conduct of this study. In this research, Grade 8 students who did not meet the expected competencies will have the opportunity to receive extra Mathematics assistance. Hence, this study is proposed so as to support the sustainability of Mathematics intervention program. This study is an action research utilizing survey questionnaire in order to determine the performance of the students in the preand post-tests of students under the Mathematics intervention program. The subject and the respondents of this study are the identified students in the Grade 8 who have not met the required competencies in Mathematics subject. Result showed that post-test result (Tutorial: 18.151±5.548; Remedial: 18.944±5.395) is higher than the pre-test result (Tutorial: 11.019±4.144; Remedial: 11.519±3.565) under tutorial program and remediation program. Result of the study also revealed that there is a significant difference between the performance of the students in the pre and post-test under tutorial program (t=-11.632, p=0.000) as well as in the performance of the students under remediation program tutorial program (W=0.000, p=0.000). Indeed, the aforementioned program is effective to improve the performance of students in Mathematics. Mathematics intervention program is effective to improve grades and performance of students, thus teachers should design a more improved techniques of this program. [ABSTRACT FROM AUTHOR]

In recent years, quantum collision models, sometimes dubbed repeated interaction models, have gained much attention due to their simplicity and their capacity to convey ideas without resorting to technical complications typical of many approaches and techniques used in the field of open quantum systems. In this tutorial, we show how to use these models, highlighting their strengths and some technical subtleties often overlooked in the literature. We do this by deriving the Markovian master equation and comparing the standard collisional derivation with the standard microscopic one. We then use the collision model to derive the master equation of a two-level system interacting with either a bosonic or fermionic bath to give the reader a flavour of the real use of the model. [ABSTRACT FROM AUTHOR]

Computable knowledge artefact development is challenging and often culminates in the development of unique single usage solutions. Libraries of computable knowledge artefacts have the possibility to enhance the Learning Health System in order to improve the benefits of innovation and the decision making of clinicians. This paper aims to discuss the process of creating the use cases and the tutorial material that would enable students to both understand how the interaction between the dataset and the outcome occurs as well as how HL7 Clinical Quality Language can be used to create artefacts of re-usable code. [ABSTRACT FROM AUTHOR]

Researchers often aim to assess whether repeated measures of an exposure are associated with repeated measures of an outcome. A question of particular interest is how associations between exposures and outcomes may differ over time. In other words, researchers may seek the best form of a temporal model. While several models are possible, researchers often consider a few key models. For example, researchers may hypothesize that an exposure measured during a sensitive period may be associated with repeated measures of the outcome over time. Alternatively, they may hypothesize that the exposure measured immediately before the current time period may be most strongly associated with the outcome at the current time. Finally, they may hypothesize that all prior exposures are important. Many analytic methods cannot compare and evaluate these alternative temporal models, perhaps because they make the restrictive assumption that the associations between exposures and outcomes remains constant over time. Instead, we provide a tutorial describing four temporal models that allow the associations between repeated measures of exposures and outcomes to vary, and showing how to test which temporal model is best supported by the data. By finding the best temporal model, developmental psychopathology researchers can find optimal windows for intervention.