Lifestyle Differences Between Rural and Urban Communities In Hypertension Prevention by Arief Shofyan Baidhowy, Wahyu Haniq Maftuhah, Yunie Armiyati, Edy Soesanto

“…The sample in this study were 150 respondents selected by stratified random sampling technique. The results of this study show there is a significant relationship between lifestyle in rural and urban communities. …”
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A probabilistic approach for multiaxial fatigue criteria by M. Muñiz Calvente, S. Blasón, A. Fernández Canteli, A. de Jesús, J. Correia

“…This implies failure compulsory happening at the plane exhibiting the maximum damage value, whereas the remaining planes are disregarded. Nevertheless, the random orientation of the predominant defect evidences the possibility of failure being initiated as a function of the predominant defect presence without requiring, necessarily, maximum values of the damage parameter, which emphasizes the need of introducing probabilistic concepts into the failure prediction analysis. …”
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Contrasting Psychotherapeutic Treatments in Inflammatory Bowel Disease: an Exploratory Review by Carlos Enrique Zerpa

“…Future research on psychological interventions in IBD should focus on the use of trial of control and experimental groups, with random assignment of participants and compliance with parameters that guarantee comparison between groups and replicability of studies, including design of a more standardized version of intervention procedures. …”
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Deep Reinforcement Learning-based Trajectory Planning for Manipulator Obstacle Avoidance by Cao Yi, Guo Yinhui, Li Lei, Zhu Baiyu, Zhao Zhihua

“…The simulation results show that the proposed DDPG algorithm has a certain degree of improvements in planning elapse and path length compared with the rapid-exploring random tree (RRT) algorithm and the improved RRT algorithm. …”
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Convoluted ν-Signals on 114Cd Isotope from Astrophysical and Laboratory Neutrino Sources by Vaitsa Tsakstara

“…Our ν-nucleus cross sections (calculated with a refinement of the quasiparticle random-phase approximation, QRPA) refer to the gs→gs transitions for ν-energies εν≤100 MeV. …”
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Energy efficiency priority IoT task collaborative migration strategy by Longyu ZHOU, Ning YANG, Guanhua QIAO, Ke ZHANG, Qilin ZHENG

“…Mobile edge computing can reduce transmission delay and data processing delay for IoT applications by executing communication and computing operation in the edge network.However,for a large number of IoT device connections,massive service data is simultaneously gathered on the edge computing platform,which will significantly increase the traffic load of the forward link and the computing load of the edge server.In order to meet this challenge,based on diversified IoT application requirements,a task collaborative migration strategy was designed to realize the minimum energy consumption of the system under time delay constraints by optimizing the selection control of equipment transmission.In the absence of perfect channel state prior information,a resource management algorithm based on deep reinforcement learning was proposed to obtain the optimal offloading decision with lower complexity.The simulation results show that the proposed algorithm can significantly reduce the energy consumption of the system and meet the service delay of the task compared with the random transmission selection strategy.…”
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KOMPOSISI DAN LUAS RELUNG MAKANAN IKAN PALUNG (Hampala macrolepidota C.V.1823) DI WADUK PB. SOEDIRMAN BANJARNEGARA, JAWA TENGAH by Elsa Melisa, Asrul Sahri Siregar, Siti Rukayah

“…The research method used is a survey method with a sampling technique using purposive random sampling. The research location was divided into three stations, namely I (Karang Kemiri), II (Wanadadi), and III (Karang Jambe). …”
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A Simplified Sine Cosine Algorithm for the Solution of Optimal Reactive Power Dispatch by Sushil Kumar Gupta, Manoj Kumar Kar, Lalit Kumar, Sanjay Kumar

“…This algorithm uses sine cosine functions and generates number of random solutions to obtain the best solution by fluctuating inwards or outwards. …”
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Comparison of Machine Learning Techniques for the Prediction of Compressive Strength of Concrete by Palika Chopra, Rajendra Kumar Sharma, Maneek Kumar, Tanuj Chopra

“…Using R miner, the most widely used data mining techniques decision tree (DT) model, random forest (RF) model, and neural network (NN) model have been used and compared with the help of coefficient of determination (R2) and root-mean-square error (RMSE), and it is inferred that the NN model predicts with high accuracy for compressive strength of concrete.…”
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The influence of service quality on the Aceh government SIGAP website by Irham Maulida, Ulung Pribadi

“…The research method uses probability sampling techniques with stratified random sampling. Research questionnaires were distributed to 6 districts/cities in Aceh Province with a research sample of 128 respondents. …”
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Scale-free behavior of weight distributions of connectomes by Michelle Cirunay, Géza Ódor, István Papp, Gustavo Deco

“…However, this behavior breaks at the local scale as the node strength distributions of the KKI-18 follow a stretched exponential, and the fly and mouse retina follow the log-normal distribution, respectively, which are indicative of underlying random multiplicative processes and underpins nonlocality of learning in a brain close to the critical state. …”
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Deep Incremental Angle Refinement Model for Limited-Angle CT Reconstruction - A Case Study on Concrete Specimens by Xingyu Liu, Guangpu Yang, Ammar Alsaffar, Faizan Ahmad, Steffen Kieß, Sven Simon

“…Our approach leverages the characteristics of CT projection by using reconstructed data of different limited angles as intermediate steps in the training process, replacing the traditional diffusion model of adding random Gaussian noise. This approach ensures data consistency in training process, mitigating the instability caused by sampling randomness of diffusion models. …”
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Iterative algorithm for locating nodes in WSN based on modifying average hopping distances by LIN Jin-zhao1, CHEN Xiao-bing1, LIU Hai-bo1

“…It can be concluded that the improved algorithm has obviously better locating performance in locating precision and precision stability at the cost of increasing appropriate communication and computation overhead, and is a more feasible locating scheme in WSN with both random distributing nodes and dynamic topology.…”
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Real-Time Football Match Prediction Platform by An Zhongqi

“…The platform employs machine learning models, including Random Forest, Support Vector Machines (SVM), and Neural Networks, combined with feature engineering techniques, to generate accurate predictions. …”
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Damage Detection for Large-Scale Grid Structure Based on Virtual Axial Strain by Jian-xin Yu, Hui-feng Tan

“…The damage detection process was performed based on the dynamic simulation flowchart. Firstly, random signals were used for excitation and the damage was simulated by decreasing beam elasticity modulus. …”
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Phase Stability and Site Preference of Tb-Fe-Co-V Compounds by Jing Sun, Jiang Shen, Ping Qian

“…The calculated crystal structure can recover after either an overall wide-range macrodeformation or atomic random motion, demonstrating that this system has the stable structure of Nd3(Fe,Ti)29. …”
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Maximizing the Rate of IRS-Assisted Downlink NOMA Systems by Xinying Li, Haixia Wei, Haiyan Huang, Cuiran Li, Lijun Zhang

“…The simulation results suggest that the algorithm described in this paper can significantly increase the signal’s achievable rate compared to the nondeployed IRS and IRS random phase-shifting schemes.…”
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Intelligent Diagnosis of Rolling Bearing Fault Based on Improved Convolutional Neural Network and LightGBM by Yanwei Xu, Weiwei Cai, Liuyang Wang, Tancheng Xie

“…Aiming at the problems of weak generalization ability and long training time in most fault diagnosis models based on deep learning, such as support vector machines and random forest algorithms, one intelligent diagnosis method of rolling bearing fault based on the improved convolution neural network and light gradient boosting machine is proposed. …”
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Adaptive guaranteed time slots allocation policy in wireless sensor networks with mobility awareness by LI Xiao-ji1, CHEN Chen1, QIU Hong-bing2, MO Wei2

“…To improve the connectivity in mobile wireless sensor networks,an adaptive GTS（guaranteed time slot） allocation algorithm with nodal mobility awareness was proposed.At first,the nodal location in next state was given by Kalman filters forecasting model.Then,a method that considered velocity,direction and relative mobility was used to define mobility level,based on which the nodal priorities for GTS reservation could be determined initially.Subsequently,the priorities could be adjusted adaptively according to the usage status feedback from allocated slots.Finally,the priorities could be used to determine the order for using GTS and the right of use an extra reservation slot.Simulation results show that the proposed scheme could increase the success rate of random access and ensure a lower average packets transmission delay and higher delivery ratio.Furthermore,with the adaptive adjustment scheme for reservation priorities base on usage feedback,the rate of correct utilization of allocated slots is increased significantly in the overall networks.…”
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Dynamic Weighted Symbiotic Organisms Search Algorithm for Global Optimization Problems by Pengjun Zhao, Sanyang Liu

“…Two different weight strategies (i.e., random-weight and adaptive-weight) are utilized to generate the weighted mutual vector, respectively. …”
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