Mendelian randomization study of the relationship between blood and urine biomarkers and lung cancer by Haihua Huang, Haijun Zheng

“…This study aims to analyze comprehensively the associations between lung cancer and biomarkers in blood and urine.MethodsBidirectional two-sample Mendelian randomization (MR) was used to evaluate the potential causal relationships between blood and urine biomarkers and lung cancer. …”
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IMPROVING CLUSTER ACCURACY IN TUITION FEES: A MULTILAYER PERCEPTRON NEURAL NETWORK AND RANDOM FOREST APPROACH by Sumin Sumin, Prihantono Prihantono, Khairawati Khairawati

“…This research was conducted using exploratory methods and quantitative approaches involving a population of PTKIN students throughout Indonesia. A sample of 282 respondents was selected using a simple random sampling method. …”
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From LLMs to Randomness: Analyzing Program Input Efficacy With Resource and Language Metrics by Gavin Black, Eric Yocam, Varghese Mathew Vaidyan, Gurcan Comert, Yong Wang

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Impact of toothpaste use on the subgingival microbiome: a pilot randomized clinical trial by Margarita Iniesta, Viviane Vasconcelos, Florencia Laciar, Paula Matesanz, Mariano Sanz, David Herrera

“…Subgingival samples were collected at baseline and after 6 weeks and processed using high-throughput sequencing technology (Miseq®). …”
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Clinical Effect of Poly Herbal Unani Formulation on Dyslipidemia- A Randomized Trial by Khairul Alam, Hasib Sheikh, Md. Abdus Samad

“…Height, weight, and blood pressure were recorded along with blood samples. The random distributions were carried out by a research assistant utilizing a random numbers table. …”
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Safety of MST in clinical application: a systematic review of randomized controlled studies by Jinling Cheng, Zhanxiang Lin, Zicai Liu, Dongmiao Han

“…The therapeutic device and treatment parameters for MST are still being investigated, and the mechanism of MST is unclear, but there is almost consistent agreement on the efficacy and safety of MST.ConclusionThis study is the first systematic review of the safety of MST, and the findings suggest that MST can be used as an alternative treatment for certain psychiatric disorders with few side effects. Therefore, larger samples and more randomized controlled double-blind trials are needed in the future better to examine the clinical efficacy and safety of MST.…”
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Randomized Controlled Trial of Intradialytic Cognitive and Physical Training to Enhance Functional Capacity by Špela Bogataj, Maja Pajek, Aljaž Kren, Katja Kurnik Mesarič, Jernej Pajek

“…Methods: A single blind, randomized controlled trial was conducted with 44 patients on HD. …”
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Investigating Correlation Between Gut Microbiota and Rheumatoid Arthritis Subtypes by Mendelian Randomization by Jiaqi Wu, Yao Peng, Ruimin Tian, Hao Yu, Huating Hu, Qingchun Huang, Youhua Xu, Liang Liu, Hudan Pan

“…<b>Methods</b>: We investigated the association between GM and RA using Mendelian randomization (MR) with two independent samples. Our study aimed to determine the causal relationship between gut microbiota and RA, including its seronegative and seropositive subtypes. …”
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Randomized Trial Demonstrating No Translocation of Intact Intestinal Bacteria During Hemodialysis or Hemodiafiltration by Paul A. Rootjes, Muriel P.C. Grooteman, Andries E. Budding, Hetty J. Bontkes, Gertrude Wijngaarden, Menso J. Nubé, Camiel L.M. de Roij van Zuijdewijn

“…Results: mDNA was absent from all samples. IL-6R, sCD14, and VCAM-1 increased equally in all modalities (median increase: 12.5%, 14.0%, 14.8%, respectively; P < 0.05). hs-CRP increased only in C-HD and HV-HDF (median increase: 12.6%, P < 0.05). …”
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Study of the Fatigue Life and Weight Optimization of an Automobile Aluminium Alloy Part under Random Road Excitation by A. Saoudi, M. Bouazara, D. Marceau

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Predicting Financial Distress through Ranking Working Capital Management Components Using Random Forest Algorithm by Pouya Sadeghi, Daryush Farid, Hamid Reza Mirzaei, Abolfazl Dehghani

“…Using Zavgren’s (1985) financial distress prediction model, the sample companies were classified into distressed and healthy groups. …”
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Extreme Value Index Estimation for Pareto-Type Tails under Random Censorship and via Generalized Means by M. Ivette Gomes, Lígia Henriques-Rodrigues, M. Manuela Neves, Helena Penalva

“…Typically, the assumption for univariate data analysis is that the sample is complete, independent, identically distributed, or weakly dependent and stationary, drawn from an unknown distribution <i>F</i>. …”
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Optimizing Random Forest Parameters with Hyperparameter Tuning for Classifying School-Age KIP Eligibility in West Java by Silfiana Lis Setyowati, Asyifah Qalbi, Rafika Aristawidya, Bagus Sartono, Aulia Rizki Firdawanti

“…Random Forest is an ensemble learning algorithm that combines multiple decision trees to generate a more stable and accurate classification model. …”
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Conditional Random Field-Based Incremental Auto Scaling Algorithm to Enhance Workflow Scheduling in Cloud Computing by George Fernandez, Arunkumar Gopu, S. P. Abirami, B. Misha Chandar, T. Poongodi, B. Arunkumar

“…The evaluation of the CRF-IASA is done with a help of the following sample workflows: A Cybershake 1000, Montage 1000, LIGO 1000 and Epigenome 997. …”
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Particle flow simulation experiments on the influence of non-penetrating random fractures on the deformation and failure characteristics of sandstone by Wangxuan Zhu, Qingbiao Guo, Xiang Hua, Jin Luo, Jiasheng Yang

“…The influence of non-penetrating random fracture distribution on the deformation and failure characteristics of sandstone was analyzed from four perspectives: mechanical strength of the samples, macroscopic failure modes, microscopic fracture development, and energy evolution. …”
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Rapid identification of the authenticity of iron rod yam by in-situ mass spectrometry based on random forest algorithm by ZHONG Hengyan, CHEN Chun, OUYANG Yongzhong, ZHOU Lin, GUO Weiqing

“…Subsequently, the initial level of the mass spectrometry data obtained was analyzed using Principal Component Analysis (PCA) and the random forest (RF) algorithm. Pattern recognition analysis established a model to differentiate between TG and FTG based on their chemical compositions.ResultsThe difference between the first-level mass spectra obtained by HS-APCI-MS was obvious between TG samples and FTG samples. …”
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Fault Diagnosis of Axial Piston Pump Based on Extreme-Point Symmetric Mode Decomposition and Random Forests by Lei Yafei, Jiang Wanlu, Niu Hongjie, Shi Xiaodong, Yang Xukang

“…Thirdly, the data were preprocessed and the labels were set, and then, they were adopted as the training and testing set of machine learning samples. Lastly, the RFs model was created based on machine learning service (MLS) to diagnose the faults of the axial piston pump on the cloud. …”
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Study on the Coarsening Behavior of Interphase Precipitates and Random Precipitates in Steel Under the High-Temperature Environment of Fire by Jinghua Cong, Yongzhe Yang, Haibin Zhu, Xueliang Shang, Hongyu Wu, Zhendong Song, Xuemin Wang, Xiangyu Xu

“…This study developed a novel heat treatment protocol to concurrently achieve both interphase precipitation and random precipitation. Samples were subjected to isothermal treatments at various temperatures and durations, while techniques such as scanning electron microscopy (SEM) and transmission electron microscopy (TEM) were employed to thoroughly analyze the coarsening behavior of the two types of precipitate and reveal their thermal stability differences. …”
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Random Reflectance: A New Hyperspectral Data Preprocessing Method for Improving the Accuracy of Machine Learning Algorithms by Pavel A. Dmitriev, Anastasiya A. Dmitrieva, Boris L. Kozlovsky

“…The testing process was conducted on data derived from the proximal hyperspectral imaging (HSI) of leaves from three different maple species, which were sampled from trees at 7–10-day intervals between 2021 and 2024. …”
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Features and perspectives of application of the rapidly exploring random tree method for motion planning of autonomous robotic manipulators by V. V. Golubov, S. V. Manko

“…The work analyzes features of one of the most promising approaches to solve the problems for motion planning of autonomous robotic manipulators of various types and purposes using the rapidly exploring random tree (RRT) method. The development of modern robotics is shown to be inextricably linked with the improvement of the designs of the created samples, for which the placement of a manipulator on platform becomes a typical layout option. …”
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