A Probabilistic Analysis to Quantify the Effect of March 11, 2004, Attacks in Madrid on the March 14 Elections in Spain: A Dynamic Modelling Approach by Juan-Carlos Cortés, Francisco Sánchez, Francisco-José Santonja, Rafael-Jacinto Villanueva

“…Using this model, we conclude that the probability is very low that the PSOE would have won had the attack not happened. …”
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Lifetime of patients and prognostic value of manifestations and complications of liver cirrhosis by G. K. Mirodzhov, S. A. Avezov, N. S. Tukhtayeva, A. Bakhtibekov, M. M. Giyasov

“…Presence more than one complication increases probability of death of patients more than 2,5 times. …”
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Effect Analysis of Optical Masking Algorithm for GEO Space Debris Detection by Sijie Kong, Jin Zhou, Wenli Ma

“…When the SNR is higher than 3, the detection probability can reach 94%, and the false-alarm rate is below 2%. …”
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Distance-Based Routing Strategy for Traffic Transport in Spatial Networks by Wei Huang, Xiang Pan, Xi Yang, Jianhua Zhang

“…In this paper, we propose a novel distance-based routing strategy in spatial scale-free networks, called LDistance strategy. The probability of establishing links among nodes obeys the power-law in the spatial network under study. …”
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Recent Advances in Metal–Organic Framework-Based Anticancer Hydrogels by Preeti Kush, Ranjit Singh, Parveen Kumar

“…Metal–organic frameworks (MOFs) are promising alternative approaches for efficient drug delivery and cancer theranostics owing to their unique properties and the direct transportation of drugs into cells followed by controlled release, but they suffer from certain limitations like rigidity, poor dispersibility, fragility, aggregation probability, and limited surface accessibility. Therefore, MOFs were conjugated with polymeric hydrogels, leading to the formation of MOF-based hydrogels with abundant absorption sites, flexibility, and excellent mechanical properties. …”
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An MCMC Approach to Bayesian Image Analysis in Fourier Space by Konstantinos Bakas, John Kornak, Hernando Ombao

“…This work extends BIFS to an MCMC approach, allowing a range of posterior estimators, including credible intervals and posterior probability maps. The computational efficiency of MCMC for BIFS is much improved over conventional Bayesian image analysis, and mixing concerns that are ubiquitous in high-dimensional MCMC sampling problems are avoided.…”
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Traffic Flow Characteristics and Lane Use Strategies for Connected and Automated Vehicles in Mixed Traffic Conditions by Zijia Zhong, Joyoung Lee, Liuhui Zhao

“…As the result shows, the highest flow rate is 3400 vehicles per hour per lane at 90% market penetration rate with one CAV lane. (2) The concentration of CAVs in one lane results in a narrower headway distribution (with smaller standard deviation) even with partial market penetration. (3) A dedicated CAV lane is also able to eliminate duel-bell-shape distribution that is caused by the heterogeneous traffic flow. (4) A dedicated CAV lane creates a more consistent CAV density, which facilitates communication activity and decreases the probability of packet dropping.…”
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Student’s access to scientific information resources using pirate open access sci-hub by Masita Dewi Cahyani, Yunus Winoto, Elnovani Lusiana

“…The population in this study were students of Padjadjaran University with sampling techniques using non-probability sampling techniques, namely purposive sampling and data processing using SPSS. …”
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Performance Analysis of DAG-Based Blockchain Systems Based on Markovian Arrival Process by Xing-Shuo Song, Shi-Yong Li

“…Furthermore, smooth probability vectors for the QBD process are given, and the performance of the DAG-based blockchain system is analyzed. …”
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Fractal and Morphological Characteristics of Single Marble Particle Crushing in Uniaxial Compression Tests by Yidong Wang, Wenjiao Dan, Yongfu Xu, Yue Xi

“…A theoretical formula for particle crushing strength is derived, utilising the fractal model, and a simple method is proposed for predicting the probability of particle survival based on the Weibull statistics. …”
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Determinants of students perceived manmade environmental hazards and risks in tertiary educational institutions by O. Daramola, O. Odunsi

“…With focus on educational institutions, this paper assessed the determinants of students’ perception of environmental hazards and risks on campus environment. Using probability sampling technique, data were obtained through administration of questionnaire on 367 students of university, polytechnic and college of education in Oyo State. …”
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Experimental Study on Flow Velocity Structure and Turbulence Characteristics in Open Channel with Biomimetic Grass by Changjing Fu, Jinguo Wang, Tianlong Zhao, Yangming Xu, Yi Lv

“…This paper describes the use of modern means of an advanced test, using standard particle image velocimetry (PIV) measurements with bionic grass along the water channel to the vertical plane of the distribution of the velocity field. The probability density distribution, spatial correlation of pulsating velocity, turbulence intensity, Reynolds stress, and turbulent kinetic energy in the open channel after the protection section of bionic grass were further analyzed.…”
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Bayesian Probabilistic Framework for Damage Identification of Steel Truss Bridges under Joint Uncertainties by Wei Zheng, Yi Yu

“…This method can not only draw samples which approximate the updated probability distributions of uncertain model parameters but also provide model evidence that quantify probabilities of uncertain model classes. …”
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A Data-Driven Approach for Reactive Power Optimization Incorporating Interval Values for Renewable Power Generation by Honglei Jia, Cong Zhang, Jieming Du, Na Kuang

“…The results show that the proposed approach ensures economic efficiency while maintaining a low bus voltage threshold crossing probability close to zero.…”
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Bayesian Estimation of Ammunition Demand Based on Multinomial Distribution by Kang Li, Xian-ming Shi, Juan Li, Mei Zhao, Chunhua Zeng

“…Bayesian inference is made through the Markov chain Monte Carlo method based on Gibbs sampling, and ammunition demand at different damage grades is obtained by referring to cumulative damage probability. The study result shows that the Bayesian inference method based on multinomial distribution is highly maneuverable and can be used to predict ammunition demand of different damage grades under the condition of small samples.…”
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Pengaruh Stigmatisasi Sosial Terhadap Koping Stress Perawat Dalam Penanganan Covid-19 by Tri Winugroho, Arief Budiarto, Sarpono, Arip Hidayat

“…The results of the study can be concluded that the probability number obtained is p of 0.015 < from the value of (0.05) then this means that the emergence of social stigma affects nurses' coping stress in handling COVID-19. …”
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A Machine Learning-Based Classification of Immunogenic Cell Death Regulators and Characterisation of Immune Microenvironment in Acute Ischemic Stroke by Mengying Wang, Guolian Wei, Shaorui Gu, Zhengyuan Huo, Xue Han

“…The random forest model was applied and 15 potential ICD regulators were screened to forecast the probability of AIS. A nomogram, on the basis of 11 latent ICD regulators, was performed. …”
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Calculation of Rainwater Harvesting: A Case Study of Çorum City by Murat Dağ, Murat Ay

“…Considering the high initial investment and labour costs, the long depreciation period of the system (50-100 years), and the troublesome, costly and risky construction of the system in such buildings whose construction has been completed, it has been observed that the possibility of implementing the system is low probability in our country. However, it can be said that such reasons are weaker than the risks such as drought danger and quality water shortage that threaten living creatures. …”
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RSS Tracking Control for AVs Under Bayesian-Network-Based Intelligent Learning Scheme by Kun Zhang, Kezhen Han, Nanbin Zhao

“…Using this method, prior probability tables for lane-hanging vehicles are constructed, and the Bayesian formula is applied to predict the lane changing probabilities of surrounding vehicles. …”
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Potential and development prospects of wind generation on the Kola Peninsula by N. G. Lyubimova, A. S. Flaxman, A. G. Redin, A. D. Kuchkina

“…The purpose of this study is to consider the current state of the Murmansk region’s energy system for further determination of the probability of new energy projects developing there. …”
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