Bedside Assessment of Tissue Oxygen Saturation Monitoring in Critically Ill Adults: An Integrative Review of the Literature by Carol Diane Epstein, Karen Toby Haghenbeck

“…None reported the use of probability sampling or demonstrated a cause-and-effect relationship between StO2 values and patient outcomes. …”
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Debris Bed Self-Leveling Mechanism and Characteristics for Core Disruptive Accident of Sodium-Cooled Fast Reactor: Review of Experimental and Modeling Investigations by Ruicong Xu, Songbai Cheng

“…Evaluations of the Core Disruptive Accident (CDA) are significantly important for safety analysis of Sodium-cooled Fast Reactor (SFR) despite the very low probability of occurrence for CDA. During the material-relocation phase in CDA of SFR, the molten materials are possibly released from the core region into subcooled sodium, subsequently forming the debris bed on the lower part of the reactor vessel after being quenched and fragmented. …”
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Experimental Evaluation Performance of Ultrasonic Multisensor Deployment Geometries for a Data Acquisition System by Jean-François Dikoundou Essiben, Luc Eyembe Ihonock, Jacques Matanga, Yong Suk Joe

“…The proposed spacing estimation model is based on the probability of false detection alarms, the aperture angle, and the sensor range. …”
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Analysis on the Prewarning Distance of Expressway Traffic Based on Lane-Selection Cell Transmission Model by Yunteng Chen, Liang Zhao, Yong Zhang, Jiexin Zhou, Liang Yao, Hongwei Lou

“…By enhancing the composition of flow within the diverging cell in CTM, traffic can determine its downstream direction based on lane-changing probability rather than the path. A case study was conducted to investigate the impact of prewarning distances of 50, 100, and 150 m on road operational efficiency and traffic safety under different traffic volumes. …”
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On Determinants of Exchange Market Pressure in Turkey: The Role of Model Uncertainty by Gülden Poyraz, Ahmet İncekara

“…The Bayesian model averaging (BMA) technique is capable of determining as to whether any explanatory variable should be included in the analysis, i.e. the models with high posterior probability. To this end, the determinants of the exchange market pressure index (EMPI) in Turkey for the period of 2010M1-2020M3 are identified using the Bayesian model averaging which takes into account the role of model uncertainty. …”
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When does metacognition evolve in the opt-out paradigm? by Robin Watson

“…The task’s reward, the mean probability of success and the variability in success across trials, and the cost of metacognition were varied. …”
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SOCIOECONOMIC DETERMINANTS OF PRESCRIPTION ANTIBIOTIC AND MEDICINE USE AND ITS RELATIONSHIP WITH FAMILY MEDICINE by Abdullah Tirgil

“…We also find that visiting family medicine increases the probability of antibiotic utilization, which is inconsistent with the aim of the Health Transformation Program. …”
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Models to Assess the Effects of Nonsmooth Control and Stochastic Perturbation on Pest Control: A Pest-Natural-Enemy Ecosystem by Xuewen Tan, Wenjie Qin, Guangyao Tang, Changcheng Xiang, Xinzhi Liu

“…Moreover a sufficient condition for the extinction of the pest population with probability-1 is given. Then, a state-dependent stochastic ecosystem with IPM strategy is proposed. …”
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The Study of a Predator-Prey Model with Fear Effect Based on State-Dependent Harvesting Strategy by Y. Tian, H. M. Li

“…Fear for predator population enhances the survival probability of prey population, and it can greatly reduce the reproduction of prey population. …”
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Small Scale Enterprises (SSES) on Employment Opportunities in Kabwohe Municipality. by Niwagaba, Innocent

“…The findings revealed the following: From the findings of the study, on respondents' background information the researcher concluded that the majority of respondents in this sample were in their early adulthood age, that is, 30-39 years, there are more males than females in Kabwohe municipality employed in these Enterprises, majority of individuals in Kabwohe municipality are generally not well educated; It can also be concluded that the effects of small scale enterprise on employment opportunities is significant at 05 percent because the probability value is less than 05 level of significance. …”
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Identification of Soil and Water Conservation Technologies Used on Different Landscape Positions in Maziba Sub-catchment by Ndemere, Julius, Mary makokha, Tenywa Moses

“…Descriptive statistics were used to analyze soil and water conservation technologies practiced in the study area. Probability sampling technique was used to select research respondents, who were selected to obtain predominantly used soil and water conservation technologies data, using semi-structured questionnaire. …”
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Life course socioeconomic position and care dependency in later life: a longitudinal multicohort study from 17 countriesResearch in context by Ting Pan, Chenshuang Li, Ying Zhou

“…Low SES at any stage of life was associated with elevated probability, increased severity, and accelerated deterioration of care dependency in later life, with women being particularly vulnerable. …”
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Hubungan Status Gizi dengan Status Sosial Ekonomi Keluarga Murid Sekolah Dasar di Daerah Pusat dan Pinggiran Kota Padang Lisbet Rimelfhi Sebataraja, by Lisbet Rimelfhi Sebataraja, Fadil Oenzil, Asterina .

“…Of the Chi-Square test obtained value Pearson Chi-Square (x2) = 71 004 is greater than the table value x2 = 7.815 and the probability value (p) = 0.000 is smaller than the value that is meaningful probability p < 0.05 means that there is a significant relationship between the nutritional status of the family's socioeconomic status elementary students in the center and suburbs the city of Padang. …”
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The effect of core stabilization exercises and shock wave therapy in patients with radiculopathy by J. Bubelis

“…After the cycle of exercises, we see that the combined result has reached more than 94% and it indicates that the probability of suffering injuries has decreased (p=0.032). …”
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Verification of a resetting protocol for an uncontrolled superconducting qubit by Ming Gong, Feihu Xu, Zheng-Da Li, Zizhu Wang, Yu-Zhe Zhang, Yulin Wu, Shaowei Li, Youwei Zhao, Shiyu Wang, Chen Zha, Hui Deng, Zhiguang Yan, Hao Rong, Futian Liang, Jin Lin, Yu Xu, Cheng Guo, Lihua Sun, Juno Clark, Cheng-Zhi Peng, Yu-Ao Chen, Xiaobo Zhu, Jian-Wei Pan

“…We also implemented 100 randomly chosen interactions and demonstrated an average success probability of 0.323 for $$\left|1\right\rangle$$ 1 and 0.292 for $$\left|-\right\rangle$$ − , and experimentally confirmed the nonzero probability of success for unknown interactions; the numerical simulated values are about 0.3. …”
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Detecting Different Road Infrastructural Elements Based on the Stochastic Characterization of Speed Patterns by Mario Muñoz-Organero, Ramona Ruiz-Blázquez

“…Then, we calculate the probability mass function for the speed (in 1 m/s intervals) at each point. …”
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Stochastic Risk Assessment with a Lagrangian Solution for the Optimal Cost Allocation in High-Speed Rail Networks by Jing Zuo, Jianwu Dang, Min Lyu

“…By introducing the component failure occurrence probability, which is considered to be an exponential function changing with the component maintenance costs, a feasible stochastic risk assessment model of the HSRNs together with the component impact assessment is proposed that can better unify the impact assessment of both the high-speed rail stations and railways. …”
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Probabilistic-fuzzy programming model with chance-constrained to optimize wastewater treatment plants: A case study with the Bantul wastewater treatment plant layout by Armanda Adiqya May Dwi, Sutrisno, Sunarsih, Widowati, Kartono

“…The model addresses the decision-making scenario where some uncertain parameters, like the rate of BOD reduction, are probabilistic with some probability density functions, and some other uncertain parameters, like wastewater load, are represented as fuzzy variables with membership functions determined by the decision-maker. …”
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A Framework for the Land Use Change Dynamics Model Compatible with RCMs by Xiangzheng Deng, Jiyuan Liu, Yingzhi Lin, Chenchen Shi

“…The vegetation change module provides the probability of vegetation change driven by climate change. …”
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Joint Residence-Workplace Location Choice Model Based on Household Decision Behavior by Pengpeng Jiao, Tuo Sun, Jin Guo, Yangwei Li

“…Estimation results indicate that the joint choice model fits the data significantly better, and the elasticity effects analyses show that the joint choice model reflects the influences of relevant factors to the choice probability well and leads to the job-housing balance.…”
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