Braindance Activities Based on Minang Dance Basic Movements in Children Ages 5-6 Years Old

Braindance activities based on Minang dance basic movements are moving activities carried out by children aged 5-6 years at an early childhood education institution in Bukittinggi City since 2019 when the trial results of the development of braindance based on the Minang dance basic movements were implemented at the Early Childhood Institutions. This study aims to (1) examine the uniqueness of the braindance movement based on the Minang dance basic movements, (2) examine the growth and development of children that appear after participating in the braindance activities, (3) examine the situation and condition of the child in the Minang braindance activities. This study used qualitative methods with data collection techniques through observation, interviews, and documentation. Data analysis was carried out with the stages of condensation, data presentation, and drawing conclusion. Data validation was carried out using triangulation of techniques, sources, and time. The study was conducted on fifteen students aged 5-6 years at an early childhood education institution in Bukittinggi. The results showed that: (1) Braindance based on Minang dance basic movements is an activity that combines gymnastic movements with the basic movements of Minang dance, as well as Minang music accompaniment; (2) Children’s motor skills become better, children can coordinate movement, brain, and feelings, and children’s creativity becomes more developed; (3) Minang braindance activities are fun for children.

Satellite data validation: a parametrization of the natural variability of atmospheric mixing ratios

High-resolution model data are used to estimate typical variabilities of mixing ratios of trace species as a function of spatial and temporal distance. These estimates can be used to explain that part of the differences between observations made with different observing systems that are due to less than perfect collocation of the measurements. The variability values are described by a two-parameter regression function. A reparametrization of the variabilities values as function of latitudinal graidents is proposed, and season-independence of linear approximation of such function is demonstrated.

Research on the Diagnosis of Students’ Cognitive Level Based on Deep Learning

In order to improve teaching quality and reduce students’ learning difficulty, this study introduces the concept of Teaching for the Ability (TFA) on the basis of traditional Internet teaching, uses big data to calculate students’ cognitive ability, and uses the evaluation results of students’ cognitive ability to drive the Internet learning scheme tailored for each student one by one. In the data validation analysis, it is found that the cognitive ability evaluation results made by the system directly affect the students’ final performance in the national unified graduation examination, and the education scheme for students with low cognitive ability is found in the data analysis.

ANALYSIS OF METHODS OF INCREASING DATA RELIABILITY FOR PROBLEMS OF SHORT TERM FORECASTING OF NODAL LOAD

A comparative analysis of clustering methods was performed to identify gaps and anomalous values in the data. Data from the northwestern region of the United States were used for evaluation. According to the analysis results, it was found that the use of the DBSCAN method leads to a much smaller number of false positives. An algorithm for two-stage data validation using clustering and time series decomposition methods is proposed. Ref.9, fig. 3, tables 3.

Detecting Incident Delirium within Routinely Collected Inpatient Rehabilitation Data: Validation of a Chart-Based Method

Background: Delirium is a brain condition associated with poor outcomes in rehabilitation. It is therefore important to assess delirium incidence in rehabilitation. Purpose: To develop and validate a chart-based method to identify incident delirium episodes within the electronic database of a Swiss rehabilitation clinic, and to identify a study population of validated incident delirium episodes for further research purposes. Design: Retrospective validation study. Settings: Routinely collected inpatient clinical data from ZURZACH Care. Participants: All patients undergoing rehabilitation at ZURZACH Care, Rehaklinik Bad Zurzach between 2015 and 2018 were included. Methods: Within the study population, we identified all rehabilitation stays for which ≥2 delirium-predictive key words (common terms used to describe delirious patients) were recorded in the medical charts. We excluded all prevalent delirium episodes and defined the remaining episodes to be potentially incident. At least two physicians independently confirmed or refuted each potential incident delirium episode by reviewing the patient charts. We calculated the positive predictive value (PPV) with 95% confidence interval (95% CI) for all potential incident delirium episodes and for specific subgroups. Results: Within 10,515 rehabilitation stays we identified 554 potential incident delirium episodes. Overall, 125 potential incident delirium episodes were confirmed by expert review. The PPV of the chart-based method varied from 0.23 (95% CI 0.19–0.26) overall to 0.69 (95% CI 0.56–0.79) in specific subgroups. Conclusions: Our chart-based method was able to capture incident delirium episodes with low to moderate accuracy. By conducting an additional expert review of the medical charts, we identified a study population of validated incident delirium episodes. Our chart-based method contributes towards an automated detection of potential incident delirium episodes that, supplemented with expert review, efficiently yields a validated population of incident delirium episodes for research purposes.

Analisis dan Penerapan Algoritma Convolutional Neural Network untuk Klasifikasi Kendaraan Prioritas

Jumlah kendaraan bermotor di Indonesia terus menerus meningkat di setiap tahunnya. Hal ini dapat menimbulkan masalah lalu lintas, salah satunya yaitu kemacetan. Dampak yang ditimbulkan dari kemacetan salah satunya yaitu terganggunya arus lalu lintas. Sedangkan menurut UU RI Nomor 22 Tahun 2009 tentang lalu lintas dan angkutan jalan pada pasal 134 terdapat 7 kendaraan yang harus mendapatkan prioritas di jalan raya. Karena itu, dalam penelitian ini dilakukan analisis model klasifikasi untuk jenis kendaraan pemadam kebakaran, ambulans / mobil jenazah, dan kendaraan non-prioritas dengan menerapkan algoritma CNN menggunakan data video dari CCTV yang dikelola oleh ATCS Kota Bandung. Pada penelitian ini terdapat 5 skenario berbeda dimana skenario tersebut dibedakan dengan menggunakan metode holdout dalam pembagian data dan evaluasi model. Hasil penelitian ini menunjukan bahwa skenario terbaik terdapat pada skenario 2 dengan data training sebesar 60%, data validation sebesar 20%, dan data testing sebesar 20% berhasil mendapatkan validation accuracy sebesar 66,15% dan testing accuracy sebesar 69,231%.

STRATEGI GURU PAI DALAM MENGEMBANGKAN KECERDASAN SPIRITUAL SISWA SECARA DARING

This study aims to determine the strategy of Islamic Education teachers in developing students' spiritual intelligence online at SMAN 1 Pantai Lunci. This type of research is qualitative using descriptive qualitative methods. The subjects of this study were PAI teachers while the informants in this study were students, BK teachers, and parents of students. Data collection techniques using observation, interviews, documentation. The data validation technique used source triangulation and technique triangulation. The data analysis technique was carried out by collecting data, reducing data, presenting data, and drawing conclusions. The results of this study indicate that the PAI teacher strategy in developing students' spiritual intelligence online at SMAN 1 Pantai Lunci is an independent learning strategy by going through several stages, namely determining learning objectives, delivering learning materials, and giving independent assignments in the form of summarizing the Angel Always with Me material which contains the value of faith and reading the Qur'an which contains the value of worship, then independent activities and the last stage is to do an evaluation.Keywords: Spiritual Intelligence, PAI Learning, Teacher Strategy�