Testing for wage-specific search intensity by Sílvio Rendon

“…For low wages, the classic random search model delivers a fair replication of the actual data, but for higher wages targeted search is better. …”
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Government interventions in supporting SME growth in Lira district, northern Uganda by Eton, Marus

“…A sample of 167 respondents was chosen from the respondents and the response rate was 100%. Simple random sampling and stratified sampling was conducted. …”
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Government interventions in supporting SME growth in Lira district, northern Uganda by Eton, Marus, Charles David Ebong, Fabian, Mwosi, Benard, Patrick Ogwel

“…A sample of 167 respondents was chosen from the respondents and the response rate was 100%. Simple random sampling and stratified sampling was conducted. …”
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An Analysis of How Mother Tongue(L1) Affects Teaching and Learning English Language(L2) in Schools in Mpondwe-Lhubiriha Town Council Kasese District. by Kule, Josephat

“…The researcher investigated how the mother tongue influences learners' performance in written English, the effects of the mother tongue on their performance, and strategies to reduce its impact on English language proficiency in Mpondwe-Lhubiriha Town Council schools. Stratified and random sampling techniques were employed to ensure each individual had an equal chance of being included in the sample. …”
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Conflicts and Mitigation measures Inrwandan protected areas. A case of Volcanoes National Park. by Jean Damascene, Hakizimana

“…Data were collected through the survey from 94 households, selected by using Stratified Random Sampling method. The results showed that communities living near VNP were being suffered for a long time by animals ranging outside of park without compensation. …”
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ISU-ISU PRIORITAS DALAM PENERAPAN ECO-HOUSE BERDASARKAN GAYA HIDUP HEMAT ENERGI DAN RAMAH LINGKUNGAN by Yasintha Rahma Naura, Annisa Safira, Dewi Larasati

“…Penelitian dilakukan secara kualitatif dengan metode pengumpulan data primer melalui kuesioner daring yang memiliki sifat terbuka (open-ended) dan disebarkan secara bebas (non-random sampling). Data yang diperoleh akan dianalisis menggunakan analisis isi yang terdiri dari 3 tahapan yaitu open-coding, axial coding dan selective coding. …”
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The Relationship of Online Learning and Information Technology with Cognitive, Affective, and Psychomotor Abilities by Sidik Awaludin, Usman Chatib Warsa, Soetrisno Soemardjo, Elly Nurachmah, Arum Atmawikarta, Dwi Novitasari

“…The sample size was 582 participants. Simple random sampling was used as the sampling technique. …”
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Implementasi Algoritma Catboost Dan Shapley Additive Explanations (SHAP) Dalam Memprediksi Popularitas Game Indie Pada Platform Steam by Mohammad Teddy Syamkalla, Siti Khomsah, Yohani Setya Rafika Nur

“…Penelitian sebelumnya telah mencoba menggunakan algoritma logistic regression dan random forest untuk meramalkan popularitas game indie di platform Steam, namun hasil model menggunakan berbagai macam metode masih rendah. …”
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Perbandingan Metode Supervised Machine Learning untuk Prediksi Prevalensi Stunting di Provinsi Jawa Timur by M Syauqi Haris, Ahsanun Naseh Khudori, Wahyu Teja Kusuma

“…Selain itu, beberapa metode dalam supervised machine learning juga dibandingkan yaitu, linier regression, support vector regression, dan random forest regression.Metode support vector regression dalam penelitian ini memiliki nilai galat yang lebih rendah yaitu 0,91 untuk MAE dan 1,30 untuk MSE. …”
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High-throughput methylation sequencing reveals novel biomarkers for the early detection of renal cell carcinoma by Wenhao Guo, Weiwu Chen, Jie Zhang, Mingzhe Li, Hongyuan Huang, Qian Wang, Xiaoyi Fei, Jian Huang, Tongning Zheng, Haobo Fan, Yunfei Wang, Hongcang Gu, Guoqing Ding, Yicheng Chen

“…We then constructed a random forest-based diagnostic model for early-stage RCC and validated the model using two independent datasets: a TCGA set of 460 RCC tumors and controls, and a blood sample set from our study of 15 RCC cases and 29 healthy controls. …”
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Evaluasi Usability dan Perbaikan Antarmuka untuk Meningkatkan User Experience Menggunakan Metode Usability Testing (Studi Kasus: Aplikasi Warga Bali) by I Made Sukarsa, I Putu Wira Buana, I Putu Juliarta Arya Utama, Ni Wayan Wisswani

“…Evaluasi usability pada penelitian ini untuk mengukur variabel efektivitas, efisiensi dan kepuasan pengguna dengan menggunakan 20 responden penelitian yang dipilih menggunakan simple random sampling dari masyarakat beragama hindu yang berdomisili di Provinsi Bali. …”
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AI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study by Tai-Han Lin, Hsing-Yi Chung, Ming-Jr Jian, Chih-Kai Chang, Hung-Hsin Lin, Chiung-Tzu Yen, Sheng-Hui Tang, Pin-Ching Pan, Cherng-Lih Perng, Feng-Yee Chang, Chien-Wen Chen, Hung-Sheng Shang

“…The machine learning models demonstrated high predictive accuracy, with LGBM achieving the highest area under the curve (0.90), followed by the random forest classifier (0.89) and gradient boosting classifier (0.88). …”
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Security decision method for the edge of multi-layer satellite network based on reinforcement learning by Peiliang ZUO, Shaolong HOU, Chao GUO, Hua JIANG, Wenbo WANG

“…The simulation results include three aspects:1)Simulation of the convergence performance of each method for random snapshots with different numbers of satellites. …”
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Vegetation height estimation based on machine learning model driven by multi-source data in Eurasian temperate grassland by Wuhua Wang, Jiakui Tang, Na Zhang, Xuefeng Xu, Anan Zhang, Yanjiao Wang, Kaihui Li, Yidan Wang

“…The results highlighted the superior performance of the Random Forest with an R2 of 0.54, RMSE of 7.39 cm, and MPAE of 49.25 %. …”
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Multimodal data deep learning method for predicting symptomatic pneumonitis caused by lung cancer radiotherapy combined with immunotherapy by Mingyu Yang, Jianli Ma, Chengcheng Zhang, Liming Zhang, Jianyu Xu, Shilong Liu, Jian Li, Jiabin Han, Songliu Hu

“…Comparatively, the radiomic feature model based on random forest (RF) yielded an AUC of 0.576, with a 95% confidence interval of 0.523-0.628. …”
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A logistic regression model to predict long-term survival for borderline resectable pancreatic cancer patients with upfront surgery by Jin-Can Huang, Shao-Cheng Lyu, Bing Pan, Han-Xuan Wang, You-Wei Ma, Tao Jiang, Qiang He, Ren Lang

“…The AUC following 10-fold stratified cross-validation in the logistic regression (0.864) is better than SVM (0.693), random forest (0.789), decision tree (0.790), and XGBoost (0.726). …”
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Subtyping Social Determinants of Health in the "All of Us" Program: Network Analysis and Visualization Study by Suresh K Bhavnani, Weibin Zhang, Daniel Bao, Mukaila Raji, Veronica Ajewole, Rodney Hunter, Yong-Fang Kuo, Susanne Schmidt, Monique R Pappadis, Elise Smith, Alex Bokov, Timothy Reistetter, Shyam Visweswaran, Brian Downer

“…The question 2 analysis (n=12,913; d=18) identified 4 biclusters with significant biclusteredness (Q=0.13; random-Q=0.11; z=7.5; P<.001) and significant replication (real Rand index=0.88; random Rand index=0.62; P<.001). …”
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Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms by Billy Ogwel, Vincent H. Mzazi, Alex O. Awuor, Caleb Okonji, Raphael O. Anyango, Caren Oreso, John B. Ochieng, Stephen Munga, Dilruba Nasrin, Kirkby D. Tickell, Patricia B. Pavlinac, Karen L. Kotloff, Richard Omore

“…While the random forest model showed slight deviations from perfect calibration, these deviations were not statistically significant (Brier score = 0.17, Spiegelhalter p-value = 0.219). …”
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Perbedaan Sensitivitas Kuman Pseudomonas Aeruginosa Penyebab Infeksi Nosokomial Terhadap Beberapa Antibiotika Generik dan Paten by Ayu Andrian Putri, Roslaili Rasyid, Rahmatini .

“…Djamil Padang that determinded by simple random sampling formula and used Kirby-Bauer diffusion method then counted the free zone germ towards 4 antibiotics generic and branded name. …”
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Hubungan Risiko Tsunami terhadap Tingkat Ansietas pada Anak-anak di SDN 02 Ulak Karang Selatan (Zona Merah) dan SDN 33 Kalumbuk (Zona Hijau) by Septia Endike, Yaslinda Yaunin2 , Rima Yaunin, Rima Semiarty

“…Penelitian analitik observasional ini menggunakan desain <em>cross-sectional</em> dengan jumlah subjek sebanyak 117 responden yang dipilih secara <em>stratified random sampling</em> di SDN 02 Ulak Karang Selatan (zona merah) dan SDN 33 Kalumbuk (zona hijau). …”
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