Assessing the Effects of Tourism Revenue Sharing to the Improved Livelihood to the Neighboring Communities of Bwindi: A Case Study of Uhoma Sector. by Mutungyirehi, Dan

“…Purposive Sampling and simple random sampling were adopted for this study. Questionnaire and interviewing methods were used as data collections methods. …”
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Human Resource Capabilities, Financial Support and Enterprise Development in Nebbi District, West Nile Region Uganda by Eton, Marus, Charles David Ebong, Fabian, Mwosi, Deus Mutesigensi, Benard, Patrick Ogwel

“…Purposive and simple random sampling was used and the selected sample of participants was 120. …”
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Faktor-Faktor yang Berhubungan dengan Perilaku Seksual Remaja di Kota Padang by Mahmudah ., Yaslinda Yaunin, Yuniar Lestari

“…Jumlah sampel dalam penelitian ini adalah 158 orang yang diambil dengan cara <em>multistage random sampling</em>. Analisis data dilakukan dengan uji chi-square dengan tingkat kemaknaan 95%. …”
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Hubungan antara Harga Diri dan Kepercayaan Diri dengan Motivasi Berprestasi Siswa SMA by Yeniar Indriana, Muhammad Dzikron Fadhlurrohman

“…Eleventh grade science students were chosen because they already had sufficient self-esteem and self-confidence and were considered to have better achievements. Cluster random sampling was employed to select a research sample of 140 students. …”
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Predicting 30-day mortality in severely injured elderly patients with trauma in Korea using machine learning algorithms: a retrospective study by Jonghee Han, Su Young Yoon, Junepill Seok, Jin Young Lee, Jin Suk Lee, Jin Bong Ye, Younghoon Sul, Se Heon Kim, Hong Rye Kim

“…Four machine learning models—logistic regression, decision tree, random forest, and eXtreme Gradient Boosting (XGBoost)—were developed to predict 30-day mortality. …”
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Hubungan Pemberian ASI Eksklusif dengan Angka Kejadian Diare Akut pada Bayi Usia 0-1 Tahun di Puskesmas Kuranji Kota Padang by Eka Putri Rahmadhani, Gustina Lubis, Edison Edison

“…Sampel penelitian ini adalah bayi usia 0-1 tahun yang berkunjung ke posyandu di wilayah kerja Puskesmas Kuranji Kota Padang dengan menggunakan simple random sampling. Jumlah bayi dengan kelompok usia 0-5 bulan 29 hari sebanyak 69 orang (51,1%) dan usia 6-12 bulan sebanyak 66 orang (48,9%). …”
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Predicting Treatment Outcomes in Patients with Low Back Pain Using Gene Signature-Based Machine Learning Models by Youzhi Lian, Yinyu Shi, Haibin Shang, Hongsheng Zhan

“…Key genes were selected using five machine learning models, including Lasso, Elastic Net, Random Forest, SVM, and GBM. These key genes were then used to train 45 machine learning models by combining nine different algorithms: Logistic Regression, K-Nearest Neighbors, Support Vector Machine, Decision Tree, Random Forest, Gradient Boosting Machine, Multilayer Perceptron, Naive Bayes, and Linear Discriminant Analysis. …”
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Keterkaitan Personal Growth Initiative dan Harapan dengan Adaptabilitas Karir pada Mahasiswa Vokasi by Hartawati Indah Pertiwi, Ridwan Budi Pramono

“…Teknik pengambilan data yang digunakan dalam penelitian ini adalah teknik simple random sampling dengan instrumen pengumpulan data meliputi skala adaptabilitas karir, personal growth initiative, dan juga harapan. …”
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Prevalensi Gangguan Pemusatan Perhatian dan Hiperaktivitas pada Siswa dan Siswi Sekolah Dasar Negeri Kecamatan Padang Timur Kota Padang Tahun 2013 by Dita Eka Novriana, Amel Yanis, Machdawaty Masri

“…This is a descriptive study and samples were taken by proportional stratified random sampling at four of state primary schools with the total 80 persons. …”
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Machine learning-based analyses of contributing factors for the development of hypertension: a comparative study by Marenao Tanaka, Yukinori Akiyama, Kazuma Mori, Itaru Hosaka, Keisuke Endo, Toshifumi Ogawa, Tatsuya Sato, Toru Suzuki, Toshiyuki Yano, Hirofumi Ohnishi, Nagisa Hanawa, Masato Furuhashi

“…Among the 58 parameters, systolic blood pressure, age and FLI were identified as important candidates by random forest feature selection with 10-fold cross-validation. …”
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Pengaruh Media Promosi Kesehatan tentang ASI Eksklusif terhadap Peningkatan Pengetahuan Ibu di Wilayah Kerja Puskesmas Lubuk Begalung Padang Tahun 2014 by Binarni Suhertusi, Desmiwarti ., Emi Nurjasmi

“…The subjects were 42 pregnant women, choosen by using simple random sampling. The subject were divided into two categories. …”
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Accurate estimation of Jujube leaf chlorophyll content using optimized spectral indices and machine learning methods integrating geospatial information by Nigela Tuerxun, Sulei Naibi, Jianghua Zheng, Renjun Wang, Lei Wang, Binbin Lu, Danlin Yu

“…To test this hypothesis, a framework was developed that first uses elastic net (EN) and the successive projection algorithm (SPA) for wavelength selection, followed by spectral index creation with OBC and ranking with random forest (RF). Support vector regression (SVR), random forest regression (RFR), and geographically weighted least squares support vector regression (GWLS-SVR) were then used to assess the prediction accuracy. …”
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Effect of Electroacupuncture at Auricular Vagus Nerve on Depression and Anxiety-Like Behaviours of Mice with Preweaning Maternal Separation by WU Nan, WANG Qiang, LI Yongfeng, WU Yuwei, QIAO Haifa, LI Guohui, YUAN Wei

“…After pregnancy, the female mice were divided randomly into control group and maternal separation group according to the random number table method. …”
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Hubungan Tindakan Pemberantasan Sarang Nyamuk dengan Keberadaan Larva Vektor DBD di Kelurahan Lubuk Buaya by Ayu Azlina, Adrial ., Eliza Anas Anas

“…The samples were taken with the Multistage Random Sampling methods. Data’s were collected by using a questionnare and survey of the larvae. …”
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An intelligent lithology identification method for sandstone and mudstone strata and its applications: A case study of the Jurassic strata in the Lunnan area, Xinjiang, China by Ming CAI, Qingwen ZHOU, Cong YANG, Feng CHEN, Dong WU, Wang LIN, Chengguang ZHANG, Yuanjun ZHANG, Yuxin MIAO

“…The optimized model was employed to deal with actual logging data for lithology identification, and its performance was evaluated using accuracy, precision, and recall and was then compared with the lithology identification results of the random forest (RF) and k-nearest neighbors (KNN) algorithms. …”
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Magnitude of consistent condom use and associated factors among people living with HIV/AIDS in Ethiopia: Implication for reducing infections and re-infection. A systematic review a... by Firomsa Bekele, Lalise Tafese, Teshome Debushe

“…Subgroup analyses by region and publication years were carried out by using a random-effects model. The STATA commands of metan magnitude semagnitude, random xlab(.1,5,10) lcols (authors) by (variables)texts(120) xsize(18) ysize (14) were used to carried out the subgroup analysis. …”
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Effect of Laryngeal Mask Airway Insertion on Intraocular Pressure Response: Systematic Review and Meta-Analysis by Mohammed Suleiman Obsa, Zewde Zema kanche, Robera Olana Fite, Tilahun Saol Tura, Bulcha Guye Adema, Aseb Arba Kinfe, Melkamu Worku kercho, Kebreab Paulos chanko, Getahun Molla Shanka, Atkuregn Alemayehu Lencha, Gedion Asnake Azeze, Lolemo Kelbiso Hanfore, Nefsu Awoke Adulo, Blen Kassahun Dessu, Getahun Dendir Wolde, Shimelash Bitew Workie

“…The pooled standard mean difference was estimated with the random-effect model. Heterogeneity between studies was assessed by the I2 statistics test. …”
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An ensemble machine learning-based performance evaluation identifies top In-Silico pathogenicity prediction methods that best classify driver mutations in cancer by Subrata Das, Vatsal Patel, Shouvik Chakravarty, Arnab Ghosh, Anirban Mukhopadhyay, Nidhan K. Biswas

“…Three machine learning algorithms—logistic regression, random forest, and support vector machine—along with recursive feature elimination, were used to rank these PCSAs. …”
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Machine Learning–Based Risk Factor Analysis and Prediction Model Construction for the Occurrence of Chronic Heart Failure: Health Ecologic Study by Qian Xu, Xue Cai, Ruicong Yu, Yueyue Zheng, Guanjie Chen, Hui Sun, Tianyun Gao, Cuirong Xu, Jing Sun

“…Principal component analysis and random forest (RF) were used as feature selection techniques. …”
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Determinants of appropriate complementary feeding practices among mothers of children aged 6–23 months in Bokoji town, Oromia region, Ethiopia by Abdurehman Kalu Tololu, Bekele Teshome, Hiwot Zelalem Fessaha, Abdene Weya Kaso

“…A total of 434 mothers of children aged 6–23 months were recruited by simple random sampling technique using computer-generated random numbers. …”
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