Rules of Blood Sampling and Storage for Laboratory Studies by A. Ye. Muronov, I. B. Zabolotskikh

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Sample size justification in feasibility studies: moving beyond published guidance by Robert Montgomery

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A food safety targeted sampling decision-making method based on association rule mining and GNNs by Jiabin Yu, Xinyue Ma, Xin Zhang, Xiaoyu Cui, Shuaixiang Chen, Zhiyao Zhao

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Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data. by Enrico Glaab, Jaume Bacardit, Jonathan M Garibaldi, Natalio Krasnogor

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Simplifying Data Processing in AFM Nanoindentation Experiments on Thin Samples by Stylianos Vasileios Kontomaris, Anna Malamou, Andreas Stylianou

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drugdevelopR: Planning of phase II/III drug development programs with optimal sample size allocation and Go/No-go decision rules in R by Johannes Cepicka, Lukas D. Sauer, Marietta Kirchner, Meinhard Kieser, Stella Erdmann

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A Novel Assembly Process Knowledge Graph Inference Method Integrating Logical Rules and Embedded Learning by Peilin Shao, Zhicheng Huang, Yongqiang Wan, Lihong Qiao, Xinzheng Xu, Chao Chen, Zhujia Li, Nabil Anwer, Yifan Qie

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A generalizable framework for urban wetland training samples generation and migration: A case study of global Ramsar Wetland Cities by Zhe Yang, Weiguo Jiang, Xiaogan Yin, Ziyan Ling, Xiaoya Wang, Miaolong Lin, Shuhui Lai, Xiao Li, Qiaozhen Guo, Zhijie Xiao, Ze Zhang, Qiuling Li, Peiyu Yang, Shihui Huang, Xiang Long, Keyi Yang, Kaifeng Peng, Yongbiao Yu, Xuan Liu, Yaheng Sheng, Xiaorui Ren, Xiangdong Yang, Haicheng Tian

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RULE OF LAW AND ECONOMIC GROWTH by V. O. Shevchuk, M. M. Blikhar, I. I. Komarnytska, N. M. Tataryn

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Machine learning compared with rule‐in/rule‐out algorithms and logistic regression to predict acute myocardial infarction based on troponin T concentrations by Anders Björkelund, Mattias Ohlsson, Jakob Lundager Forberg, Arash Mokhtari, Pontus Olsson de Capretz, Ulf Ekelund, Jonas Björk

“…The primary aim was to assess the predictive accuracy of machine learning algorithms based on paired high‐sensitivity cardiac troponin T (hs‐cTnT) concentrations with varying sampling times, age, and sex in order to rule in or out AMI. …”
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Influence of Sampling Practices on the Appearance of DNA Image Histograms of Prostate Cells in FNAB Samples by Abdelbaset Buhmeida, Teijo Kuopio, Yrjö Collan

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A Fuzzy Rule-Based Expert System for Evaluating Intellectual Capital by Mohammad Hossein Fazel Zarandi, Neda Mohammadhasan, Susan Bastani

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Hubungan Antara Rule of Ten Terhadap Kejadian Komplikasi Pasca Labioplasty by Sukma Purnama Sidhi, Arya Tjipta Prananda, Ridwan Balatif

“…A total of 80 patients (93%) met the rule of ten criteria and 7 patients (8.1%) had postoperative complications. …”
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Occasional and Continuous Ketamine Users: Consumption Rules and Harm Reduction Strategies by Raimondo Pavarin

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Association Rule Analysis for Sales Strategy Optimization with Apriori Algorithm Method by Avril Firda Amelia, Rochmoeljati Rochmoeljati

“…The results yielded 14 first-level (L1) rules, 21 second-level (L2) rules, and 8 third-level (L3) rules, indicating associations between products that can inform cross-selling schemes and product sampling strategies. …”
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A RULE-BASED METHOD FOR TUMOR RECOGNITION IN LIVER ULTRASOUND IMAGES by V. А. Kovalev

“…On a set of 1280 regions of interests sampled from 26 test images it is demonstrated that the method provides an acceptable level of tumor recognition accuracy in 96,8 % of cases.…”
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Deduplication algorithm based on condensed nearest neighbor rule for deduplication metadata by Wen-bin YAO, Peng-di YE, Xiao-yong LI, Jing-kun CHANG

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The Influence of Internal Control, Organizational Commitment, and Rule Compliance on Accounting Fraud Tendencies by Gunawan Barbara, Rizoan Nabiilah Taqiyyah

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Utilization of an application to improve mothers' understanding of feeding rules in an effort to prevent stunting by Titin Sutini, Awaliah Awaliah, Medya Aprilia Astuti, Anita Apriliawati

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Rule with an iron hand: powerful CEOs, influential shareholders and corporate performance in Russia by Marina Zavertiaeva, Tatiana Ershova

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