MANAJEMEN SANGGAR SENI TARI TRADISIONAL DINDA BESTARI DI KOTA PALEMBANG

Dinda Bestari Traditional Dance Studio is a dance studio that teaches traditional dance, dance creation and contemporary dance. The studio also teaches children's dance and opens special classes for children. In this studio, students who are not only children and adolescents, but there are also adults. This research aims to describe the management of Dinda Bestari Traditional Dance Studio, which is domiciled in the City of Palembang, South Sumatra, which implements management functions in all aspects of studio activities including planning , organizing, implementing and controlling. This research applies a qualitative approach. The research subject is myself as the owner, founder and at the same time the manager of this studio. The object of this research is the Dinda Bestari Traditional Dance Studio in Palembang which includes, its background and management system applied. Data collection techniques carried out in three ways, namely participant observe, interview and documentation. In this study using a human instrument that is the researcher himself who acts as an instrument, serves to determine the focus of research, choose informants as sources of data, collect data, assess data quality, analyze data, interpret data, and make conclusions on its findings. Data analysis techniques using data reduction, data description and conclusion drawing. The data validity test in this study uses the data triangulation method. The results of this study describe that the Dinda Bestari Traditional Dance Studio uses management functions as (1) planning, (2) organizing, (3) acting (Actuating), and (4) controlling (Controlling).

Towards the Next Generation Operational Meteorological Radar

This article summarizes research and risk reduction that will inform acquisition decisions regarding NOAA’s future national operational weather radar network. A key alternative being evaluated is polarimetric phased-array radar (PAR). Research indicates PAR can plausibly achieve fast, adaptive volumetric scanning, with associated benefits for severe-weather warning performance. We assess these benefits using storm observations and analyses, observing system simulation experiments, and real radar-data assimilation studies. Changes in the number and/or locations of radars in the future network could improve coverage at low altitude. Analysis of benefits that might be so realized indicates the possibility for additional improvement in severe-weather and flash-flood warning performance, with associated reduction in casualties. Simulations are used to evaluate techniques for rapid volumetric scanning and assess data quality characteristics of PAR. Finally, we describe progress in developing methods to compensate for polarimetric variable estimate biases introduced by electronic beam-steering. A research-to-operations (R2O) strategy for the PAR alternative for the WSR-88D replacement network is presented.

LipidFinder 2.0: advanced informatics pipeline for lipidomics discovery applications

Summary We present LipidFinder 2.0, incorporating four new modules that apply artefact filters, remove lipid and contaminant stacks, in-source fragments and salt clusters, and a new isotope deletion method which is significantly more sensitive than available open-access alternatives. We also incorporate a novel false discovery rate method, utilizing a target–decoy strategy, which allows users to assess data quality. A renewed lipid profiling method is introduced which searches three different databases from LIPID MAPS and returns bulk lipid structures only, and a lipid category scatter plot with color blind friendly pallet. An API interface with XCMS Online is made available on LipidFinder’s online version. We show using real data that LipidFinder 2.0 provides a significant improvement over non-lipid metabolite filtering and lipid profiling, compared to available tools. Availability and implementation LipidFinder 2.0 is freely available at https://github.com/ODonnell-Lipidomics/LipidFinder and http://lipidmaps.org/resources/tools/lipidfinder. Contact [email protected] or [email protected] Supplementary information Supplementary data are available at Bioinformatics online.

LipidFinder 2.0: advanced informatics pipeline for lipidomics discovery applications

We present LipidFinder 2.0, incorporating four new modules that apply artefact filters, remove lipid and contaminant stacks, in-source fragments and salt clusters, and a new isotope deletion method which is significantly more sensitive than available open-access alternatives. We also incorporate a novel false discovery rate (FDR) method, utilizing a target-decoy strategy, which allows users to assess data quality. A renewed lipid profiling method is introduced which searches three different databases from LIPID MAPS and returns bulk lipid structures only, and a lipid category scatter plot with color blind friendly pallet. An API interface with XCMS Online is made available on LipidFinder’s online version. We show using real data that LipidFinder 2.0 provides a significant improvement over non-lipid metabolite filtering and lipid profiling, compared to available tools.AvailabilityLipidFinder 2.0 is freely available at https://github.com/ODonnell-Lipidomics/LipidFinder and http://lipidmaps.org/resources/tools/[email protected] informationSupplementary data are available at Bioinformatics online.

Manajemen Sanggar Seni Tari Tradisional Dinda Bestari di Kota Palembang

<p class="SammaryHeader" align="center"><strong>Abstract</strong></p><p>Dinda Bestari Traditional Dance Studio is a dance studio that teaches traditional dance, dance creation and contemporary dance. The studio also teaches children's dance and opens special classes for children. In this studio, students who are not only children and adolescents, but there are also adults. This research aims to describe the management of Dinda Bestari Traditional Dance Studio, which is domiciled in the City of Palembang, South Sumatra, which implements management functions in all aspects of studio activities including planning , organizing, implementing and controlling. This research applies a qualitative approach. The research subject is myself as the owner, founder and at the same time the manager of this studio. The object of this research is the Dinda Bestari Traditional Dance Studio in Palembang which includes, its background and management system applied. Data collection techniques carried out in three ways, namely participant observe, interview and documentation. In this study using a human instrument that is the researcher himself who acts as an instrument, serves to determine the focus of research, choose informants as sources of data, collect data, assess data quality, analyze data, interpret data, and make conclusions on its findings. Data analysis techniques using data reduction, data description and conclusion drawing. The data validity test in this study uses the data triangulation method. The results of this study describe that the Dinda Bestari Traditional Dance Studio uses management functions as (1) planning, (2) organizing, (3) acting (Actuating), and (4) controlling (Controlling).</p><p><strong><em>Keyword</em></strong><strong><em> </em></strong><strong><em>: </em></strong><em>Management , Dinda Bestari Traditional Dance Studio</em><em></em></p><p align="center"><strong>Abstrak</strong></p><p><em>Sanggar Seni Tari Tradisional Dinda Bestari merupakan sanggar tari yang mengajarkan tari tradisional, tari kreasi dan tari kontemporer. Di</em><em> sanggar ini juga mengajarkan tari anak-anak dan membuka kelas khusus anak-anak.</em> Dalam sanggar ini siswa yang tergabung tidak hanya anak dan remaja akan tetapi ada juga yang dewasa.<em>Penelitian ini bertujuan mendiskripsikan seperti apa manajemen Sanggar Seni Tari Tradisional Dinda Bestari yang berdomisili di Kota Palembang Sumatera Selatan, yang menerapkan fungsi manajemen pada semua aspek kegiatan sanggar diantaranya perencanaan, pengorganisasian, Pelaksanaan dan pengendalian. Penelitian ini menerapkan pendekatan kualitatif. Subjek penelitian adalah saya sendiri selaku pemilik, pendiri dan sekaligus pengelolah sanggar ini. Objek penelitian ini yaitu Sanggar Seni Tari Tradisional Dinda Bestari di Kota Palembang yang meliputi, latar belakang berdirinya dan sistem manajemen yang diterapkan. Teknik pengumpulan data dilakukan dengan tiga cara yaitu participant observe, wawancara dan dokumentasi. Pada penelitian ini menggunakan human instrument yaitu peneliti itu sendiri yang berperan sebagai instrumennya, berfungsi menetapkan fokus penelitian, memilih informan sebagai sumber data, melakukan pengumpulan data, menilai kualitas data, analisis data, menafsirkan data, dan membuat kesimpulan atas temuannya. Tekni</em><em>k analisi data menggunakan reduksi data, deskripsi data dan penarikan kesimpulan. Uji keabsahan data pada penelitian ini menggunakan metode triangulasi data. Hasil penelitian ini mendeskripsikan bahwa Sanggar Seni Tari Tradisional Dinda Bestari menggunakan fungsi manajemen sebagai (1) perencanaan (Planning), (2) pengorganisasian (Organizing), (3) pelaksanaan (Actuating), dan (4) pengawasan (Controlling).</em><em> </em></p><strong><em>Kata kunci :</em></strong><em> Manajemen, Sanggar Seni Tari Tradisional Dinda Bestari</em>

Validation of a Photoplethysmographic Heart Rate Monitor: Polar OH1

This study assessed the validity of a photoplethysmographic heart rate (HR) monitor, the Polar OH1 in various sports performed in ecological conditions: running, cycling, soccer, kayaking, walking, tennis and fitness. Seventy trained athletes (56 males, 14 females) wore the Polar OH1 armband and the H7 chest belt during training. A total of 390 h and 38 min of recording were compared using a 20-bpm window to assess data quality, and Bland-Altman agreements and ICC analyses were used to test accuracy. Linear regression analyses evaluated the HR accuracy and correlation with skin tone. Training loads (TRIMPs) were compared for each session. Reliability was high for endurance sports (>99%) and lower for sports involving arm movements (92~95%). Biases were slightly negative for all sports, whereas widths of limits of agreement varied from 7–20bpm. Bland-Altman agreements were all under 5% except tennis, kayak and fitness. HR accuracy was positively correlated to skin tone (p<0.05). Finally, TRIMPs from the OH1 device were inferior to criterion’s (except walking and soccer), within a 3% range from reference. Hence, OH1 represents a valid tool to monitor instantaneous HR and training load, especially for endurance sports.

A novel method to assess data quality in large medical registries and databases

Background There is no gold standard to assess data quality in large medical registries. Data auditing may be impeded by data protection regulations. Objective To explore the applicability and usefulness of funnel plots as a novel tool for data quality control in critical care registries. Method The Swiss ICU-Registry from all 77 certified adult Swiss ICUs (2014 and 2015) was subjected to quality assessment (completeness/accuracy). For the analysis of accuracy, a list of logical rules and cross-checks was developed. Type and number of errors (true coding errors or implausible data) were calculated for each ICU, along with noticeable error rates (>mean + 3 SD in the variable’s summary measure, or >99.8% CI in the respective funnel-plot). Results We investigated 164 415 patient records with 31 items each (37 items: trauma diagnosis). Data completeness was excellent; trauma was the only incomplete item in 1495 of 9871 records (0.1%, 0.0%–0.6% [median, IQR]). In 15 572 patients records (9.5%), we found 3121 coding errors and 31 265 implausible situations; the latter primarily due to non-specific information on patients’ provenance/diagnosis or supposed incoherence between diagnosis and treatments. Together, the error rate was 7.6% (5.9%–11%; median, IQR). Conclusions The Swiss ICU-Registry is almost complete and data quality seems to be adequate. We propose funnel plots as suitable, easy to implement instrument to assist in quality assurance of such a registry. Based on our analysis, specific feedback to ICUs with special-cause variation is possible and may promote such ICUs to improve the quality of their data.

Development and validation of data quality rules in administrative health data using association rule mining

IntroductionData quality assessment is a challenging facet for researches using coded administrative health data. Our previous study had demonstrated the potentials of association rule mining to assess data quality. The objective of this study is to develop and validate a set of coding association rules for data quality assessment. Objectives and ApproachWe used the Canadian reabstracted hospital discharge abstract data (DAD) with clinical diagnosis coded in International Classification of Disease – 10th revision, Canada (ICD-10-CA) codes for rule development. The DAD data were divided into 5 age groups. Association rule mining were conducted on reabstracted DAD in each age group to extract ICD-10 coding association rules at the three and four digits levels. The rule strength was assessed using support and confidence. The rules will be reviewed by a panel of 5 physicians and 2 coding specialists to assess their appropriateness from clinical and coding perspectives using a modified Delphi rating ResultsIn total, 975 rules at the three digits level and 822 rules at the four digits level were learned from the data. Half of the rules were in the age group of ≥65 and no rules were found in the age group of 5 to 19. The interquartile range of rule confidences were 0.112 to 0.425 in the three digits level and 0.073 to 0.222 in the four digits level. Two-thirds of rules had the diagnosis codes related to endocrine and metabolic disorders and diseases of circulatory, respiratory and genitourinary systems. The panel review will be conducted in early April and will have the final set of rules available before the conference. Conclusion/ImplicationsThis study developed a set of validated ICD-10 coding association rules and creates a useful tool to cost-effectively assess data quality in routinely collected administrative health data.

DamaGIS: a multisource geodatabase for collection of flood-related damage data

Every year in France, recurring flood events result in several million euros of damage, and reducing the heavy consequences of floods has become a high priority. However, actions to reduce the impact of floods are often hindered by the lack of damage data on past flood events. The present paper introduces a new database for collection and assessment of flood-related damage. The DamaGIS database offers an innovative bottom-up approach to gather and identify damage data from multiple sources, including new media. The study area has been defined as the south of France considering the high frequency of floods over the past years. This paper presents the structure and contents of the database. It also presents operating instructions in order to keep collecting damage data within the database. This paper also describes an easily reproducible method to assess the severity of flood damage regardless of the location or date of occurrence. A first analysis of the damage contents is also provided in order to assess data quality and the relevance of the database. According to this analysis, despite its lack of comprehensiveness, the DamaGIS database presents many advantages. Indeed, DamaGIS provides a high accuracy of data as well as simplicity of use. It also has the additional benefit of being accessible in multiple formats and is open access. The DamaGIS database is available at https://doi.org/10.5281/zenodo.1241089.