Second Hand Tobacco Smoke Exposure among Adults in an Urbanized Village in Delhi by Yukti Bhandari, Jugal Kishore, Abhilasha Yadav, Aritrik Das

“…A total of 490 residents ≥15 years were included using simple random sampling. The interview was conducted by the primary author using the Global Adult Tobacco Survey (GATS). …”
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Drug-Gene Interaction Prediction Method through Cross Granularity Subgraph Contrastive Learning and Attention Mechanism Fusion by HU Dongdong, PENG Yang, TAN Shuqiu, ZHU Xiaofei

“…At present, the graph neural network method based on the random walk algorithm has achieved great results in identifying drug-gene interaction relationships. …”
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Comparison of different methods for identification of meat species in meat products by Yusuf Özşensoy, Seyda Şahin

“…<p> <b>Materials and Methods:</b> Sucuk, salami, sausage, meatball and braised meat samples were collected for the investigation from marketed in Sivas province with random samples methods in 2014. The identification of meat species in meat products was investigated using Agar Gel Immunodiffusion (AGID), and Enzyme-Linked Immunosorbent Assay (ELISA) and Polymerase Chain Reaction (PCR) methods.…”
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GENOME-WIDE SNP ALLELOTYPING OF HUMAN COHORTS BY POOLED DNA SAMPLES by V. N. Babenko, V. N. Maximov, E. V. Kulakova, E. S. Safronova, M. I. Voevoda, E. I. Rogaev

“…The variance of allele frequencies among repeats in a single cohort was less than that in random choice of pairs from different cohorts.…”
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Inverse Kinematics of a 7-Degree-of-Freedom Robotic Arm Based on Deep Reinforcement Learning and Damped Least Squares by Shusheng Yu, Gongquan Tan

“…The algorithm was trained and tested in the PyBullet virtual environment, using random seven-dimensional position and pose target points. …”
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Meta-analysis of the effectiveness of teaching philosophy to children on students' critical thinking by Leila Mirzaei, Zahra Golizade

“…The results of this research showed that the effect size of the random model summary was equal to 1.00, which is statistically significant and indicates the positive effects in philosophy to children in developing their critical thinking skills.Therefore, it is suggested that teaching philosophy for children should be included in formal education programs.…”
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Intrafamilial Genotyping of Helicobacter pylori from Faecal DNA by M. McMillan, W. G. MacKay, C. L. Williams, A. J. Shepherd, C. Malcolm, L. T. Weaver

“…H. pylori DNA was chemically recovered and isolated using a specific biotinylated oligonucleotide probe with magnetic capture from 28 H. pylori positive faecal samples obtained from children attending hospital for the investigation of suspected H. pylori infection, together with close family members. Random amplification of polymorphic DNA (RAPD) was subsequently used to discriminate each isolate. 93% of stool samples selected were typeable. …”
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Graph-based two-level indicator system construction method for smart city information security risk assessment by Li Yang, Kai Zou, Yuxuan Zou

“…In this study, we proposed a graph-based two-level indicator system construction method. First, a random forest was used to extract the indicators' dependency graph from missing data. …”
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Federated Learning-Based Credit Card Fraud Detection: A Comparative Analysis of Advanced Machine Learning Models by Zheng Han

“…This paper introduced federated learning and discussed a few federated learning algorithms applied to the problem—these methods include Federated Graph Attention Network with Dilated Convolution Neural Network (FedGAT-DCNN), FedAvg with Convolutional Neural Network (CNN), and Federated Averaging with Distance-based Weighted Aggregation (FedAvg-DWA) with Random Forest (RF). Federated Averaging (FedAvg) aggregates data from local clients and then creates a global model; fedavg-dwa provides dynamic weight averaging, which enhances each client’s performance based on their data quality. …”
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Predictive analysis of ratings of perceived exertion in elite Gaelic football by Dermot Sheridan, Aidan J. Brady, Dongyun Nie, Mark Roantree

“…Data were analysed using decision tree, random forest (RF), and bootstrap aggregation (BS) models. …”
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The correlation between on-farm biosecurity and animal welfare indices in large-scale turkey production by László Kovács, Christopher René Klaucke, Máté Farkas, Mikolt Bakony, Viktor Jurkovich, László Könyves

“…The association between biosecurity and welfare indicators was investigated by correlation testing and prediction accuracy using random forest classification. The areas of biosecurity that were shown to be closely linked to the welfare index were the organization of the farm (farm management, supply of materials), the control and hygienic measures implemented between farm structures, cleaning and disinfection measures on the farm, and control and hygienic measures implemented in the case of farm workers and visitors upon entrance and exit. …”
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Computed Tomography Scan and Clinical-based Complete Response Prediction in Locally Advanced Rectal Cancer after Neoadjuvant Chemoradiotherapy: A Machine Learning Approach by Seyyed Hossein Mousavie Anijdan, Daryush Moslemi, Reza Reiazi, Hamid Fallah Tafti, Ali Akbar Moghadamnia, Reza Paydar

“…According to the modeling based on combined clinical and radiomics data together, area under the curves for the nonresponders and complete respond group (responder group) was 0.97 and 0.99, respectively. Conclusion: Random forests modeling based on combined radiomics and clinical characteristics of the pretreatment tumor images has the ability to predict the response or non-response to neoadjuvant treatment in LARC to an acceptable extent.…”
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Extent of leadership roles in change management process in Public Universities of Ethiopia: a mixed-methods study by Abreham Amalo Jinga, Jeilu Oumer Hassen

“…The study distributed 581 questionnaires to academic staff and leaders selected by systematic random sampling techniques. Besides, key informant interviews and focus group discussions were conducted with top management bodies and student representatives, respectively. …”
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DESCRIPTION OF HYPERTENSION LEVELS IN PRIMARY HYPERTENSION ADULTS AND ELDERLY IN KARANGBINANGUN LAMONGAN DISTRICT by Iswatun Iswatun, Endah Sri Wijayanti, Lailatul Fadliyah, Cucuk Rahmadi Purwanto, Iin Rohmawati

“…Method: This research design using descriptive with a population of 70 respondents then sampled using simple random sampling and get a sample of 64 respondents, in accordance with the inclusion criteria, are healthy patients and willing to sign the informed consent The variable in this study is the level of hypertension. …”
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Gaussian Process Regression and Machine Learning Methods for Carbon-Based Material Adsorption by Manar Ahmed Hamza, Maha M. Althobaiti, Fahd N. Al-Wesabi, Rana Alabdan, Hany Mahgoub, Anwer Mustafa Hilal, Abdelwahed Motwakel, Mesfer Al Duhayyim

“…In the existing system, random forest and ANN methods were used for TC and SMX for predicting the quantities of antibiotics in the CBMs. …”
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Designing a Neural Observer to Estimate the State Variables of the Dynamical System of a Specific Class of Leukaemia by Yousef Farshidi, Reza Ghasemi, Aminin Sharafian Ardekani

“…First of all, in this algorithm, the system outputs are generated according to random weights. Then the error is calculated and propagated back to the network and the weights are updated. …”
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Household energy conservation behaviour: A socio-economic perspective by Adeyemi Adepoju, Kayode Ekundayo, Abiodun Oladiipo

“…Data were collected through a structured questionnaire from 329 respondents in Akure Metropolis households, Nigeria, that were selected using a random sampling techniques. The study adopted the Partial Least Square Structural Equation Modelling approach. …”
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Self-reported Myopia in Trinidad and Tobago: A Cross-sectional Study by Ngozika Esther Ezinne, Michael Agyemang Kwarteng, Selassie Tagoh, Arian Jagroo, Darnell Martin

“…Materials and Methods: This study was a cross-sectional design, and data were collected using a validated structured questionnaire from January to April 2024. Systematic random sampling was used to select participants aged 15 and above to participate. …”
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Forecasting of virtual power plant generating and energy arbitrage economics in the electricity market using machine learning approach by Tirunagaru V. Sarathkumar, Arup Kumar Goswami, Baseem Khan, Kamel A. Shoush, Sherif S. M. Ghoneim, Ramy N. R. Ghaly

“…Notably, the introduced AOLSTM approach demonstrates minimal error metrics compared to conventional methods such as persistence, Gradient Boost, and Random Forest.…”
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Rapid Driving Style Recognition in Car-Following Using Machine Learning and Vehicle Trajectory Data by Qingwen Xue, Ke Wang, Jian John Lu, Yujie Liu

“…Finally, Supporting Vector Machine (SVM) is applied to recognize driving style based on the labelled data. The performance of Random Forest (RF), K-Nearest Neighbor (KNN), and Multi-Layer Perceptron (MLP) is also compared with SVM. …”
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