PEMANFAATAN POSBINDU PTM OLEH PASIEN HIPERTENSI PESERTA BPJS KESEHATAN DI PUSKESMAS ARO by Nanda Reka Wahyu Ningsih, Rumita Ena Sari, Rizalia Wardiah, M. Ridwan, Risty Ivanti

“…The sampling technique used is simple random sampling. Data was collected by interview with a sample of 83 people. …”
Get full text

One-Bit Distributed Sparse Spectrum Sensing Based on the DQA-ZA-LMS and DQA-RZA-LMS Algorithms Over Adaptive Networks by Ehsan Mostafapour, Changiz Ghobadi, Javad Nourinia, Ramin Borjali Navesi

“…The sparsity aware feature of the proposed algorithm can help the network to track and estimate sparse random vectors that are shown to be the case with the spectrum of the new generation wireless communication systems such as 4G, 5G, 6G, and beyond. …”
Get full text

Urban Air Mobility demand forecasting: modeling evidence from the case study of Milan (Italy) by Pierluigi Coppola, Francesco De Fabiis, Fulvio Silvestri

“…Demand forecasting is based on random utility mode choice models, which include factors related to the individuals’ perception of vertical take-off/landing and low altitude flying over urbanized areas. …”
Get full text

A Torus-Chaotic System and Its Pseudorandom Properties by Jizhao Liu, Xiangzi Zhang, Qingchun Zhao, Jing Lian, Fangjun Huang, Yide Ma

“…Furthermore, the pseudorandom properties of output sequence are well studied and a random number generator algorithm is proposed, which has the potential of being used in several cyber security systems such as the verification code, secure QR code, and some secure communication protocols.…”
Get full text

An Elderly Lady with Fever of Unknown Etiology and Severe Pulmonary Hypertension: Intravascular Lymphoma—An Elusive Diagnosis by Nupur Sinha, Luis Lantigua, Masooma Niazi, Gilda Diaz-Fuentes

“…The diagnosis of intravascular lymphoma was finally reached by the performance of a random abdominal fat pad biopsy and the patient was started on immunochemotherapy. …”
Get full text

SBS Content Detection for Modified Asphalt Using Deep Neural Network by Zhixiang Wang, Jiange Li, Zhengqi Zhang, Youxiang Zuo

“…In comparison with the standard curve method and the random forest method, the precision of DNN is greater than 98% for the same test conditions, achieving the best predicting performance.…”
Get full text

Study on Tensile Properties of Nanoreinforced Epoxy Polymer: Macroscopic Experiments and Nanoscale FEM Simulation Prediction by Zhenqing Wang, Fang Liu, Wenyan Liang, Limin Zhou

“…Based on Monte-Carlo method, the special program for the automatic generation of 2D random distribution particles without overlapping was developed for nanocomposite modeling. …”
Get full text

SEARCH ALGORITHM FOR THE PARAMETRIC IDENTIFICATION OF THE ELECTRIC DRIVE OF THE MONITORING SYSTEM by A. S. Abufanas, A. A. Lobaty, A. G. Shvedko

“…When solving the problem, the random character of the processes occurring in the system and at the output of the output signal meter is taken into account. …”
Get full text

Academic Activities Transaction Extraction Based on Deep Belief Network by Xiangqian Wang, Fang Huang, Wencong Wan, Chengyuan Zhang

“…In this paper, the accuracy of the academic activities extraction is compared by using character-based feature vector and word-based feature vector to express the text features, respectively, and with the traditional text information extraction based on Conditional Random Fields. The results show that DBN model is more effective for the extraction of academic activities transaction information.…”
Get full text

Degradation Data-Driven Remaining Useful Life Estimation in the Absence of Prior Degradation Knowledge by Yong Yu, Changhua Hu, Xiaosheng Si, Jianxun Zhang

“…Residual life distributions and posterior distributions are first calculated through the Bayesian updating method based on random initial a priori distributions. Then the a priori distributions are revised and improved for future predictions by the ECM algorithm. …”
Get full text

EFFECT OF STUDENTS DISPOSITION ON THE CHOICE OF ACCOUNTING AS A SUBJECTS IN PRIVATE SECONDARY SCHOOLS IN CALABAR SOUTH LOCAL GOVERNMENT AREA OF CROSS RIVER STATE, NIGERIA by EGU USANG INAH, GLORY TOCHUKWU AKAH, JOHN OGAR–ABANG OYONG

“…A sample of sixty (60) SS2 Accounting students were selected from private secondary schools using the    proportionate and simple random sampling techniques. One instrument titled “Students disposition and  choice  of  accounting  subjects  Questionnaire (SDCASQ) was   used for data collection.  …”
Get full text

A New Method for the Calibration of Site-Related Response Spectra by Xin Han, Shun Yang, Jingshan Bo, Chaoyu Chang, Mei Guo, Yimeng Cai

“…The seismic acceleration response spectra are statistically analyzed in the random period bands in the form of regression analysis, and the fitting indices in each frequency band under 11 different functions are given. …”
Get full text

The Bergen Facebook addiction scale: a reliability generalization meta-analysis by Jian-Ling Ma, ZhengCheng Jin, Chang Liu

“…We performed a reliability generalization meta-analysis involving 173,641 participants across 127 articles, which reported 147 Cronbach’s alpha values for internal consistency. The random-effects model revealed that the pooled Cronbach’s alpha values were 0.8535 (95% CI [0.8409, 0.8660]) for the BFAS and 0.8248 (95% CI [0.8116, 0.8380]) for the BSMAS. …”
Get full text

AutoPVPrimer: A comprehensive AI-Enhanced pipeline for efficient plant virus primer design and assessment. by Abozar Ghorbani, Mahsa Rostami, Elham Ashrafi-Dehkordi, Pietro Hiram Guzzi

“…The design_primers_with_tuning module uses a random forest classifier that optimizes parameters and provides flexibility for different experimental conditions. …”
Get full text

THE IMPACT OF HUMAN RESOURCE OUTSOURCING ON EMPLOYEE PERFORMANCE (A CASE STUDY OF ACCESS BANKPLC) by JOY DAMIAN-ONYIA

“…Thus, the Bank's employees weresampled using simple random sampling and 84 respondents were used for this study. …”
Get full text

THE RELATIONSHIP OF ORGANIZATIONAL FACTORS AND COMPLIANCE LEVEL IN THE APPLICATION OF STANDARD PRECAUTIONS by Moch. Sahri, Ramdhoni Zuhro, Octavianus Hutapea, Warsiki Dwimarisiana

“…The sampling technique uses simple random sampling. The dependent variable is the level of compliance with the application of standard precautions. …”
Get full text

A Suspension Footbridge Model under Crowd-Induced Lateral Excitation by Lijun Ouyang, Bin Ding, Tingting Li, Bin Zhen

“…The lateral force induced by crowd is expressed as a cosine function with random phase. Comparing with other existing pedestrian-footbridge interaction models, the proposed model has two features: one is that the structural characteristics of the suspension bridge are taken into account. …”
Get full text

Prevalence of infection <i>H. pylori</i> in Moscow population by S. V. German, I. Ye. Zykova, A. V. Modestova, N. V. Yermakov

“…Interview of 634 persons have been taken using original questionnaire by random sample.Results. Extremely high prevalence of infection – 88% was found. …”
Get full text

A hybrid machine learning model for intrusion detection in wireless sensor networks leveraging data balancing and dimensionality reduction by Md. Alamin Talukder, Majdi Khalid, Nasrin Sultana

“…The model employs classifiers such as Decision Tree Classifier, Random Forest Classifier (RFC), and gradient boosting techniques like XGBoost (XGBC) to enhance detection accuracy and efficiency. …”
Get full text

Face Alignment Algorithm Based on an Improved Cascaded Convolutional Neural Network by Xun Duan, Yuanshun Wang, Yun Wu

“…Aiming at the problem of a large number of parameters and high time complexity caused by the current deep convolutional neural network models, an improved face alignment algorithm of a cascaded convolutional neural network (CCNN) is proposed from the network structure, random perturbation factor (shake), and data scale. …”
Get full text