Step In Data Analysis Research Articles

A qualitative study of pharmacists' perceptions and awareness of homoeopathic medicines in Durban, South Africa.

There is growing interest in the demand for and use of homoeopathic medicines by the public; however, little is known about the perspectives of pharmacists regarding the use of these medicines, particularly in the South African private health context. A qualitative approach using an exploratory cross-sectional descriptive design was used. Data were collected from a purposive sample of 15 participants comprising pharmacy managers, pharmacists and pharmacy assistants from six different conveniently selected private pharmacy retail outlets. Data were collected using individual interviews utilising a semi-structured interview guide. An audiotape was used to record the data which were transcribed verbatim and analysed thematically, following Tech's steps of data analysis. Ethical approval to conduct the study was obtained from the Durban University of Technology's Institutional Research Ethics Committee. The findings of this study revealed four superordinate themes related to pharmacists' perceptions and self-reported awareness regarding homoeopathic medicines. These are (1) negative perceptions regarding homoeopathic medicines, (2) perceived benefits of homoeopathic medicines, (3) poor knowledge and awareness of homoeopathic medicines and (4) capacity development and curriculum aspects. The findings highlight the need for an educational intervention on homoeopathic medicines targeting pre-service and in-service pharmacy practitioners, to enable them to provide effective education regarding all types of medicines as the demand for homoeopathic medicines increases.Contribution:The study findings provide evidence to support advocacy for an educational intervention to improve awareness and knowledge of pharmacists to enable provision of effective health education for patients. More research, however, is required to inform the contents of this training intervention for pharmacists.

Enhancing Early Childhood Artistic Skills Through Angklung at Kindergarten

Music plays a central role in children's development, and the use of musical instruments such as the angklung has become part of the music education curriculum in preschools. This research aims to delve into the application of the angklung in developing the artistic abilities of early childhood. The method employed is a qualitative approach with descriptive qualitative methods, utilizing data analysis steps based on the Miles and Huberman approach. Data collection involves interviews, observations, and documentation. The research results indicate that the angklung is effective in developing the artistic abilities of children, particularly in the realm of musical arts. Children exhibit variations in their musical expressions through the use of the angklung. These findings provide a comprehensive understanding of the potential of the angklung as a tool for developing the artistic skills of early childhood.

Differentially expressed genes of RNA-seq data are suggested on the intersections of normalization techniques

Data normalization is the critical step for the RNA-seq data analysis. Several techniques are suggested for the normalization of transcript reads in the samples. In this study, the differentially expressed genes (DEGs) are generated from the TCGA normalized laryngeal cancer data obtained using the TPM, FPKM, and DESeq2 techniques. The results showed that the reports of DEGs were different based on the normalization techniques. We suggested that the DEG intersections obtain the top transcripts from the normalized data in support of the pathway enrichment process.

Maharah Kalam: Bagaimana Mahasiswa Mempersiapkan Diri Untuk Menghadapinya?

This article reveals what must be prepared by Arabic Language Education students of IAIN Palangka Raya in semester 5 when they are going to attend lectures on al-kalam lii munaqasyah wal mujJadi, such as physical and mental preparation, obstacles experienced during lectures, and what linguistic and non-lingistic difficulties faced by students while practicing kalam. Considering that this lecture requires students to practice their speech up to 100% and in full for 2 credits. This study used a qualitative method with a phenomenological approach. Data were collected using research instruments in the form of interviews. To present data so that it is easy to understand, the data analysis steps used in this study are the Analysis Interactive Model from Miles and Huberman.

Düşük Kapsamlı WGS Verileri Kullanılarak Hızlı ve Yüksek Doğruluklu Guppy Baz Çağırma Modellerinin Varyant Çağırma Üzerine Etkisinin İncelenmesi

Long-read sequencing technologies such as Oxford Nanopore Technologies (ONT) enabled researchers to sequence long reads fast and cost-effectively. ONT sequencing uses nanopores integrated into semiconductor surfaces and sequences the genomic materials using changes in current across the surface as each nucleotide passes through the nanopore. The default output of ONT sequencers is in FAST5 format. The first and one of the most important steps of ONT data analysis is the conversion of FAST5 files to FASTQ files using “base caller” tools. Generally, base caller tools pre-trained deep learning models to transform electrical signals into reads. Guppy, the most commonly used base caller, uses 2 main model types, fast and high accuracy. Since the computation duration is significantly different between these two models, the effect of models on the variant calling process has not been fully understood. This study aims to evaluate the effect of different models on performance on variant calling.
 In this study, 15 low-coverage long-read sequencing results coming from different flow cells of NA12878 (gold standard data) were used to compare the variant calling results of Guppy. 
 Obtained results indicated that the number of output FASTQ files, read counts and average read lengths between fast and high accuracy models are not statistically significant while pass/fail ratios of the base called datasets are significantly higher in high accuracy models. Results also indicated that the difference in pass/fail ratios arises in a significant difference in the number of called Single Nucleotide Polymorphisms (SNPs), insertions and deletions (InDels). Interestingly the true positive rates of SNPs are not significantly different. These results show that using fast models for SNP calling does not affect the true positive rates statistically. The primary observation in this study, using fast models does not decrease the true positive rate but decreases the called variants that arise due to altered pass/fail ratios. Also, it is not advised to use fast models for InDel calling while both the number of InDels and true positive rates are significantly lower in fast models.
 This study, to the best of our knowledge, is the first study that evaluates the effect of different base calling models of Guppy, one of the most common and ONT-supported base callers, on variant calling.

An integrated workflow for quantitative analysis of the newly synthesized proteome

The analysis of proteins that are newly synthesized upon a cellular perturbation can provide detailed insight into the proteomic response that is elicited by specific cues. This can be investigated by pulse-labeling of cells with clickable and stable-isotope-coded amino acids for the enrichment and mass spectrometric characterization of newly synthesized proteins (NSPs), however convoluted protocols prohibit their routine application. Here we report the optimization of multiple steps in sample preparation, mass spectrometry and data analysis, and we integrate them into a semi-automated workflow for the quantitative analysis of the newly synthesized proteome (QuaNPA). Reduced input requirements and data-independent acquisition (DIA) enable the analysis of triple-SILAC-labeled NSP samples, with enhanced throughput while featuring high quantitative accuracy. We apply QuaNPA to investigate the time-resolved cellular response to interferon-gamma (IFNg), observing rapid induction of targets 2 h after IFNg treatment. QuaNPA provides a powerful approach for large-scale investigation of NSPs to gain insight into complex cellular processes.

Automated Egg-Counting Approaches for Aedes aegypti Oviposition Experiments.

Egg-laying preferences of mosquitoes can reveal key neurosensory mechanisms informing the decision-making process for this critical behavior. A single blood meal results in a gravid female Aedes aegypti mosquito laying more than 100 eggs. Therefore, egg counting represents a potentially time-consuming and laborious component to behavioral assays, such as those that measure oviposition preference or fecundity. Automated algorithms that count eggs from images can dramatically reduce the time required for this step of data processing and analysis and increase reproducibility associated with having multiple human observers count the eggs. Here, we present two distinct approaches for counting melanized Ae. aegypti eggs laid on white filter paper.

Analysis of Incoterms and Relational Resources to Improve Competitive Advantage: A Study of Freight Forwarders Company in Indonesia

This study aims to analyze the impact of Incoterm and relational resources on the competitive advantage of Indonesian Freight forwarders. The measurement methodology uses structural equation model (SEM) analysis with SmartPLS software to analyze the impact of Incoterms and relational resources on competitive advantage. Through social media, online questionnaires were sent to gather research data. The Likert scale of 5 was used to create the questionnaire. Companies that provide freight forwarding services were the respondents in this study, chosen by simple random sampling. Online questionnaires were distributed to 75 companies to answer questions submitted. The data analysis step is validity tests, reliability tests, significance tests, and hypothesis tests. Based on the data processing results, it is found that Incoterm and relational resources positively affect competitive advantages. The novelty of this study is a model of the relationship between the effect of Incoterm and relational resources on the competitive advantage of freight forwarding companies. The research's theoretical implication is that Freight forwarder companies' management should select appropriate incoterms and implement relational resource policies to encourage increased competitive advantage. One of the limitations of this study is that the sample size used is only a small number of companies engaged in international Freight Forwarder services, only 75 companies.

Analisa Penerapan Interoperabilitas, Transparansi Informasi, Bantuan Teknis dan Pengambilan Keputusan terhadap Peningkatan Kualitas SDM yang Berorientasi ke Industrialisasi 4.0 Pada UMKM

This research aims to determine the quality of human resources by using supporting variables such as the role of interoperability, information transparency, technical assistance and decision making. Current developments certainly require higher quality human resources to support better industrial sectors. With the help of supporting technology, sufficient information, technical assistance provided and appropriate decision making, it is hoped that it will be able to become a supporting factor in improving the quality of human resources. This research is a type of research using design. The research method used is a quantitative approach with associative methods. The Associative Method aims to determine the influence or relationship between two or more variables. The type of data used is primary data obtained using questionnaire techniques, interviews, observations and in-depth interviews. The sampling technique is probability sampling. With data analysis SPSS is used for quantitative data, the data analysis steps used in this research are validity and reliability analysis, descriptive analysis, multiple linear regression analysis, classical assumption test, coefficient of determination test and hypothesis testing. The results of the research show that the variables Implementation of Interoperability, Information Transparency, Technical Assistance, and Decision Making together show a positive and significant influence on the HR Quality Improvement variable.

Pre-Processing and Normalization of the Historical Weather Data Collected from Secondary Data Source for Rainfall Prediction

In the twenty first century, data analysis has become the talk of the town. Almost every company or organization depends on data analysis for taking future decision. The most important step in data analysis after data collection is the preprocessing of the collected data. The main aim of data analysis is to find meaningful pattern by processing large amount of data. In data preprocessing, the inconsistency of collected data has been removed. After storing data for a relatively longer period, it becomes noisy and inconsistent. While measuring various parameter due to error in the instrument or human error, the value become incorrect or invalid. It is necessary to remove the invalid data otherwise it will deflect the results and produce error in the prediction. In this work preprocessing of the weather data has been analyzed for rainfall prediction using data mining.

Development of a semi-cylindrical time projection chamber prototype for (3He,t\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$^{3}{\ extrm{He}},t$$\\end{document}) charge exchange reaction experiment

The charge exchange (CE) reaction is an effective probe to study the structure of atomic nuclei in the isospin dimension, which has been studied for decades. To expand the range of nuclei studied by CE reactions to a wider range and research the structure characteristics of unstable nuclei, including the isospin symmetry, spin-isospin excitation, and nuclear symmetry energy, a semi-cylindrical time projection chamber (scTPC) prototype was designed and constructed to probe (3\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$^{\ extrm{3}}$$\\end{document}He,t) CE reactions in inverse kinematics. The 266 nm UV laser was used to achieve electron-drift-velocity calibration. The scTPC has an energy resolution (FWHM) of 5.6% for α\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\alpha $$\\end{document} particles emitted by 241\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$^{\ extrm{241}}$$\\end{document}Am radioactive source. The position resolution of scTPC is described by the residual method. The spatial resolution on the pad plane is 409 μ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\upmu $$\\end{document}m. And the position resolution in the drift direction is 326 μ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\upmu $$\\end{document}m, equivalent to an angular resolution of 0.4∘\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$^\\circ $$\\end{document}. These performances suggest that the scTPC can measure ΔE\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\Delta E $$\\end{document}and particle tracks precisely. The successful development of the scTPC prototype provides better conditions for the next step of experimental data analysis and processing.

Penggunaan media pop up book dalam pembelajaran pendidikan pancasila materi makna simbol sila pancasila pada siswa kelas 4 di Sekolah Dasar

<p><strong><em>Abstract</em></strong><em>. The purpose of this research is to describe and analyze the use of pop up book media in teaching Pancasila education about the meaning of Pancasila symbols in grade 4 students at SD N Banmati 02 in the 2022/2023 academic year. The form of this research is a type of analytical research with a qualitative approach. The subjects of this study were 17 students and teachers of Pancasila education in grade 4 of SD N Banmati 02 for the 2022/2023 academic year. Data collection techniques are carried out by observation, interviews, and documentation. Test the validity of the data using the triangulation method. The data analysis step uses the Creswell analysis technique. The conclusion of this study is that the use of Pop Up Book media in learning planning is already in the good category but there are still obstacles including not reaching all students, it can only be used for visual learning styles, its use must be careful, and the production costs are expensive. The results of learning the material for the meaning of the Pancasila precepts using Pop Up Book media consisted of a formative assessment of 76% getting a score of 82 and above, and a summative assessment of 75% getting a score of 83 and above so that the use of Pop Up Book media was successful.</em></p><p> </p>

Pixel-level regression for UAV hyperspectral images: Deep learning-based quantitative inverse of wheat stripe rust disease index

Previous research on utilizing unmanned aerial vehicle (UAV) remote sensing imagery for plant disease detection has predominantly focused on the qualitative identification of healthy and infected plants. Notably, pixel-level regression analysis for the quantification of the wheat stripe rust disease index (DI) using hyperspectral imaging data and deep learning methods is still lacking. Traditionally, quantitative inversion has been achieved by employing radiative transfer model inversion techniques or a combination of vegetation indices and machine learning methodologies. This investigation presents an end-to-end, pixel-level quantitative regression methodology, underpinned by deep learning techniques. This methodology carries substantial importance not only for the accurate assessment of disease distribution maps, but also for an array of common quantitative regression challenges within agricultural systems. For example, the approach can be utilized for the regression inversion of continuous phenotypes, including crop yield and plant height. In this study, 1,560 local wheat varieties (lines) from Henan Province were selected as experimental subjects, resulting in a wide-ranging gradient of DI. Hyperspectral images at a height of 100 m were obtained based on UAVs at different stages of infection. This work utilized a deep learning semantic segmentation method with continuous loss functions such as Laplacian loss to achieve pixel-level regression and end-to-end quantitative inversion of the DI. The performance of models with different loss functions, model architectures and datasets was compared. The optimal results were achieved using the Laplacian + MSE loss function combined with the HRNet_W18 algorithm model, yielding a test set R2 value of 0.875 and an MSE of 0.0129. Incorporating a PSA module further improved the outcomes, resulting in an R2 value of 0.880 and an MSE of 0.0123. Modeling with a limited number of feature indices (e.g., six feature indices) reduced the model recognition performance to 0.829 compared to full-band modeling. These findings suggest that full-band, end-to-end modeling based on deep learning algorithms can lead to superior inversion outcomes and streamline data analysis steps. The insights from this research hold relevance for high-throughput crop phenotyping, plant disease and pest monitoring, and quantitative yield assessment.

Structural, Familial, and Psychosocial Factors Affecting Long-Term Antiretroviral Treatment Adherence amongst Adolescents Living with Perinatally Acquired HIV in Limpopo, South Africa.

After more than two decades of the expansion of antiretroviral treatment (ART) in adolescents living with perinatal HIV (APHIV) in sub-Saharan Africa, there is still poorly sustained long-term adherence to ART due to multifactorial factors with the consequence of increased mortality and morbidity. There are little data available on the familial and structural factors which affect sustenance to long-term adherence to ART. A qualitative exploratory design was used to conduct in-depth interviews with 21 APHIV attending HIV care and management in the rural health facilities of Vhembe district in Limpopo Province, South Africa. Transcripts were translated verbatim into English, and data were analyzed using Tesch's eight steps of qualitative data analysis. The sample consisted of APHIV 10-19 years old who were aware of their HIV status, and all had received ART for more than 5 years. They lived in extended, disrupted, grandparent- and child-headed households. They experienced food insecurities due to poverty or orphanhood, as well as living in disrupted households, which deterred them from long-term adherence. In addition, dependency on social support grants to sustain their livelihoods affected long-term adherence. APHIV had challenges with structural factors such as inconsistent clinic attendance, clashes between school activities and clinic appointments, and the lack of transport fare to the clinic, which affected adherence. Although APHIV were on one-pill fixed-dose ART, they were not able to sustain long-term adherence due to various familial, structural, and psychosocial challenges. In addition to institution-based interventions, there is a need for family, community-based, and multi-sectorial interventions to support long-term ART adherence among APHIV.

Improved meta-analysis pipeline ameliorates distinctive gene regulators of diabetic vasculopathy in human endothelial cell (hECs) RNA-Seq data.

Enormous gene expression data generated through next-generation sequencing (NGS) technologies are accessible to the scientific community via public repositories. The data harboured in these repositories are foundational for data integrative studies enabling large-scale data analysis whose potential is yet to be fully realized. Prudent integration of individual gene expression data i.e. RNA-Seq datasets is remarkably challenging as it encompasses an assortment and series of data analysis steps that requires to be accomplished before arriving at meaningful insights on biological interrogations. These insights are at all times latent within the data and are not usually revealed from the modest individual data analysis owing to the limited number of biological samples in individual studies. Nevertheless, a sensibly designed meta-analysis of select individual studies would not only maximize the sample size of the analysis but also significantly improves the statistical power of analysis thereby revealing the latent insights. In the present study, a custom-built meta-analysis pipeline is presented for the integration of multiple datasets from different origins. As a case study, we have tested with the integration of two relevant datasets pertaining to diabetic vasculopathy retrieved from the open source domain. We report the meta-analysis ameliorated distinctive and latent gene regulators of diabetic vasculopathy and uncovered a total of 975 i.e. 930 up-regulated and 45 down-regulated gene signatures. Further investigation revealed a subset of 14 DEGs including CTLA4, CALR, G0S2, CALCR, OMA1, and DNAJC3 as latent i.e. novel as these signatures have not been reported earlier. Moreover, downstream investigations including enrichment analysis, and protein-protein interaction (PPI) network analysis of DEGs revealed durable disease association signifying their potential as novel transcriptomic biomarkers of diabetic vasculopathy. While the meta-analysis of individual whole transcriptomic datasets for diabetic vasculopathy is exclusive to our comprehension, however, the novel meta-analysis pipeline could very well be extended to study the mechanistic links of DEGs in other disease conditions.

Internalization of Islamic Educational Values in The Ngapati Tradition in Gondang Village Karangreja District, Purbalingga District

This study aims to find out how the Ngapati tradition is carried out by the community in Gondang Village, Karangreja District, Purbalingga Regency, and to find out how the Internalization of Islamic Education Values in the community in the Ngapati tradition in Gondang Village, Karangreja District, Purbalingga Regency. This type of research is field research where researchers go directly to the field to obtain data and information related to the research being conducted. This research is presented in a descriptive form to describe a process that occurs in the field. While the approach taken is qualitative. Data collection techniques used: observation, interviews, and documentation. While the data analysis technique uses three steps of data analysis: Data Reduction, Data Presentation, and Drawing Conclusions. The results showed the internalization of Islamic Education's values in the Ngapati tradition in Gondang Village, Karangreja District, Purbalingga Regency. The implementation of the Ngapati tradition in Gondang Village, Karangreja District, Purbalingga Regency, has two phases. Namely the pre-event phase of the Ngapati tradition and the event at the time of carrying out the Ngapati tradition. The processes within are internalized with general procedures which include three internalization stages: Value Transformation, Value Transactions, and Value Transinternalization

Emaze App as an Assistive Tool in Cultural Arts Learning

The purpose of this study was to test the use of the Emaze application as a tool in learning Cultural Arts (Dance) at SMK Pariwisata Aisyiyah West Sumatra. This research adopts a quantitative approach with a Pre-Experimental Design design. Researchers themselves act as research instruments, supported by tools such as cameras and indicator sheets. The study population consisted of 11 grade X students at SMK Pariwisata Aisyiyah West Sumatra. Research samples were selected using the group or cluster sampling method. Data was collected through dance creativity tests, observation, and interviews. The data analysis steps include the stages of data clarification, data description, and drawing conclusions. The results indicate that the use of the Emaze application has a positive effect on increasing the creativity of dance movements in grade X students of SMK Tourism Aisyiyah West Sumatra. This resulted in increased achievement in Cultural Arts learning. Student learning creativity is also increased thanks to the use of 2D to 3D visual features from the Emaze application. This effectiveness is evident from the results of student practice examinations that achieve satisfactory results and are in accordance with the learning objectives as stated in the teaching module. The teacher also appreciated the use of the Emaze application as a tool in learning Cultural Arts (Dance) and showed interest in better understanding its use and integrating it through discussion methods in teaching.

Developing a cultural-based realistic mathematics education learning video on congruence and similarity

The Covid-19 pandemic has made learning activities carried out online so that many students have difficulty understanding the material, so interesting learning media are needed with flexible access. This study aims to develop a learning video with a culture-based RME approach on congruence and similarity materials and to determine the validity and practicality of the product. This type of research is development research with the ADDIE research model. The subjects of this study were students of class IX A MTs Negeri 9 Bantul. The data collection methods are interviews and questionnaires. The data analysis step is carried out by calculating and analyzing the results of the validity and practicality tests. The results of the product validity test obtained very valid criteria with an average value of 4.75 by material experts and 4.82 by media experts. At the same time, the practicality test got a percentage of 91.82% with very practical criteria in small class trials and a percentage of 82.67% with very practical criteria in large class trials. Based on these results, the learning video can be declared very valid and very practical to use in learning.

Exploring Community Participation in Prevention and Care of Tuberculosis from Patients’, Healthcare Providers’ and Community Member’s Perspective, In Wolayta Zone, SNNPR, Ethiopia. A Qualitative Study

Background: In developing countries, tuberculosis (TB) continues to be the major cause of morbidity and mortality. To reduce the loss of lives and economical burden that TB poses up on citizens, early case detection and successful treatment of infected cases are very essential mainly with active community participation in prevention and care of TB. This study was aimed to explore community participation in prevention and care of TB in Wolayta Zone of SNNPR, Ethiopia. Method: Descriptive phenomenological research methodology was employed in the study. A total 24 participants were chosen using purposive sampling technique. Participants in the study were from various sections of society. Of these, 14 were TB patients on TB treatment and former TB patients who were recovered, 8 were health professionals and 2 were Key Informants which were selected from the community to provide key information. Data were gathered through focus groups and in-depth interviews. Using the Open Code and Colaizi 7 steps of descriptive phenomenological method data analysis was used. Interviews were audio recorded, verbatim transcribed, translated, and exhaustive description was written. Results: Community participation in prevention and care of TB in study area was high. Preventive participation and supportive participations were identified and these participations have their own goals in TB prevention and care. Preventive participation has focused on early case finding strategies like referring the suspect cases for TB diagnosis and contact tracing. Supportive participation has focused on treatment success such physical, economical, psychological and social supports which increase the patients adherence to treatment and as result increases treatment success rate. Conclusion. Our study revealed highto moderate community participation in tuberculosis prevention and care in the the study area. The finding is that the TB prevention and care strategy for eliminating TB will be operationally effective. In cumulative effect, the region might be able to meet the WHO's recommendations for the community TB prevention and care plan, which call for case notification of more than 70% and an 85% success rate for treatment and all seek to eliminating TB by 2030. Therefore, the study emphasizes the necessity for effective communication to be established between community and the health institutions. To further raise TB notification and treatment success rates, all feasible methods of utilizing community participation in TB care are advised.

Bentuk Penyajian Tari Sewa dalam Acara Pesta Perkawinan di Jorong Gando Nagari Paninggahan Kecamatan Junjung Sirih Kabupaten Solok

The research aims to reveal and describe the form of presentation of the Sewa Dance in Jorong Gando Nagari Paninggahan, Junjung Sirih District, Solok Regency. This type of research is qualitative research with descriptive methods. The instrument for this research is the researcher himself and is assisted by supporting instruments such as stationery, camera and cellphone. The data in this research uses primary data and secondary data. Data collection techniques were carried out using literature study, observation, interviews, and documentation techniques. The data analysis steps are carried out by collecting data, describing the data and concluding the data. The results of the research show that the presentation of the Sewa Dance in Nagari Paninggahan consists of movement, floor design, dancers, music, make-up and costumes, props, place and contextual performance time at a wedding party. There are 12 types of Sewa dance movements, but at the wedding ceremony, only 5 (five) types of movements are performed. Each of the five types of movements has a name, namely the Ciek Tusuak Siku Step, the Duo Tusuak Gasiang Step, the Tigo Tusuak Dado Step, the Ampek Sambuik jo Rabuik Pisau Step, and the Limo Kepoh Kaki Step.