Data-Oriented Analysis of Uplink Transmission in Massive IoT System With Limited Channel Information by Jyri Hamalainen, Rui Dinis, Mehmet C. Ilter

“…The analytical derivations are validated through corresponding Monte Carlo numerical simulations, with only minor differences at low probability values.…”
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Investigation of the structure of CaO-Al2O3-SiO2 melts as a basis for the development of new agglomerated welding fluxes and industrial refractories by Sokol’skii V.E., Pruttskov D.V., Busko V.M., Kazimirov V.P., Roik O.S., Chyrkin A.D., Galinich V.I., Goncharov I.A.

“…The structural parameters of short-range order were calculated using melt structure models obtained by Reverse Monte Carlo method. The existence of microparticle associates of the mullite or sillimanite type immersed in the slag matrix is assumed. …”
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Phylogenetic Analysis of Dengue Virus in Bangkalan, Madura Island, East Java Province, Indonesia by Teguh Hari Sucipto, Tomohiro Kotaki, Kris Cahyo Mulyatno, Siti Churrotin, Amaliah Labiqah, Soegeng Soegijanto, Masanori Kameoka

“…Serotyping was conducted using a multiplex Reverse Transcriptase-Polymerase Chain Reaction and a phylogenetic analysis of E gene sequences was performed using the Bayesian Markov chain Monte Carlo (MCMC) method. 17 out of 359 blood samples (4.7%) were positive for the isolation of DENV. …”
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Large-Scale MIMO Transmitters for CR-NOMA in Fixed Physical Space: The Effect of Realistic System Impairments Using Stochastic Geometry by Emmanuel Ampoma Affum, Samuel Tweneboah-Koduah, Owusu Agyeman Antwi, Benjamin Asubam Weyori, Willie Ofosu

“…To reduce computing demands, we offer a novel concept of using the physical dimensions of the array to derive the location vector of the antenna element. Using Monte Carlo simulation, near and far users' BER performances deteriorate for AF and DF at 15 dB and 5 dB or below, respectively. …”
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Development and validation of the Michigan Chronic Disease Simulation Model (MICROSIM). by James F Burke, Luciana L Copeland, Jeremy B Sussman, Rodney A Hayward, Alden L Gross, Emily M Briceño, Rachael Whitney, Bruno J Giordani, Mitchell S V Elkind, Jennifer J Manly, Rebecca F Gottesman, Darrell J Gaskin, Stephen Sidney, Kristine Yaffe, Ralph L Sacco, Susan R Heckbert, Timothy M Hughes, Andrzej T Galecki, Deborah A Levine

“…MICROSIM is an agent-based Monte Carlo simulation designed using computer programming best practices. …”
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Adsorption characteristics of metronidazole on CoZr-LDH and its GO nanocomposite: Experimental and theoretical study by Edris Jamshidi, Fateme Fathabadi, Faranak Manteghi, Rahime Eshaghimalekshah

“…This study emphasizes the potential of GO-enhanced CoZr-LDH for effective removal of metronidazole, addressing its status as a critical pollutant in wastewater.To comprehensively study the adsorption process in CoZr-LDH and CoZr-LDH/GO, theoretical analyses were conducted using Monte Carlo computational method. This approach, known for simulating numerous particle trajectories and statistical averaging, allowed for an in-depth examination of adsorption mechanisms under various conditions. …”
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HIV/AIDS epidemic in India and predicting the impact of the national response: Mathematical modeling and analysis by Arni S. R. Srinivasa Rao, Kurien Thomas, Kurapati Sudhakar, Philip K. Maini

“…Accordingto revised projections there will be 2.08 million PLHA by 2012 if 50percent of the targets in NACP III are reached. We perform aMonte Carlo procedure for sensitivity analysis of parameters andmodel validation. …”
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Detecting Ground Level Enhancements Using Soil Moisture Sensor Networks by A. D. P. Hands, F. Baird, K. A. Ryden, C. S. Dyer, F. Lei, J. G. Evans, J. R. Wallbank, M. Szczykulska, D. Rylett, R. Rosolem, S. Fowler, D. Power, E. M. Henley

“…Space weather signals from GLEs and Forbush decreases have been identified in COSMOS data. Monte Carlo simulations of atmospheric radiation propagation show that a single COSMOS detector is sufficient to detect the signal of a medium‐strength (10%–100% increase above background) GLE at high statistical significance, including at fine temporal resolution. …”
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A New Method of Central Axis Extracting for Pore Network Modeling in Rock Engineering by Xiao Guo, Kairui Yang, Haowei Jia, Zhengwu Tao, Mo Xu, Baozhu Dong, Lei Liu

“…Firstly, digital core was reconstructed by using the Markov Chain Monte Carlo (MCMC) method based on the binary images of a rock cutting plane taken from heavy oil reservoir sandstone. …”
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Design of the Online Gross γ Monitoring Instrument at the Exit of the Helium Purification System in HTR-PM by Mengqi Lou, Liguo Zhang, Feng Xie, Jianzhu Cao, Jiejuan Tong, Weirong Liu, Yong Wang

“…The detailed configuration of the gross γ monitoring instrument was presented in detail. The Monte Carlo method was used to simulate the detection efficiency of the monitoring system. …”
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An Insurance Value Modeling Approach That Captures the Wider Value of a Novel Antimicrobial to Health Systems, Patients, and the Population by Mei S. Chan, Richard Holloway, Robert King, Rosie Polya, Rebecca Sloan, Jack C. Kowalik, Tom Ashfield, Luke S.P. Moore, Thomas Porter, Jonathan Pearson-Stuttard

“…**Methods:** A novel mixed-methods approach was used to model insurance value in the United Kingdom: (1) literature review and multidisciplinary expert workshops to identify risk events for 4 relevant scenarios: ward closures, unavoidable shortage of conventional antimicrobials, viral respiratory pandemics, and catastrophic antimicrobial resistance (AMR); (2) parameterizing mitigable costs and frequencies of risk events across perspectives and scenarios; (3) estimating insurance value through a Monte Carlo simulation model for extreme events and a dynamic disease transmission model. …”
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Second-line systemic treatment for metastatic colorectal cancer: A systematic review and Bayesian network meta-analysis based on RCT. by Chengyu Sun, Enguo Fan, Luqiao Huang, Zhengguo Zhang

“…<h4>Methods</h4>We searched PubMed, Web of Science, EMBASE, and Cochrane Library for RCTs comparing second-line systemic treatments for mCRC from the inception of each database up to February 3, 2024. Markov Chain Monte Carlo (MCMC) technique was used in this network meta-analysis (NMA) to generate the direct and indirect comparison results among multiple treatments in progression-free survival (PFS), overall response rate (ORR), overall survival (OS), complete response (CR), partial response (PR), grade 3 and above adverse events (Grade ≥ 3AE), and any adverse events (Any AE). …”
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Coverage Probability and Area Spectral Efficiency of Full Duplex Communication in C-V2X Network With Dual Connectivity by Adeel Ahmad, Muhammad Nadeem Sial, Junaid Ahmed, Sadiq Ullah

“…Dual connectivity (DC) for simultaneous link of receiving vehicle with nearest transmitting vehicle and base station (BS) has also been analyzed for the first time for HD and FD in C-V2X network. Analytical and Monte Carlo simulations results have shown that utilization of FD in C-V2X network provides comparable success probability as compared to HD with improvement in ASE. …”
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Relay-Aided Uplink NOMA Under Non-Orthogonal CCI and Imperfect SIC in 6G Networks by Volkan Ozduran, Nikolaos Nomikos, Ehsan Soleimani-Nasab, Imran Shafique Ansari, Panagiotis Trakadas

“…Our analytical findings are verified through Monte-Carlo simulations, revealing that non-orthogonal CCI degrades the system performance, causing system coding gain losses. …”
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Potential of the CLARA test facility for VHEE radiotherapy research by Deepa Angal-Kalinin, Deepa Angal-Kalinin, Deepa Angal-Kalinin, Stewart Boogert, Stewart Boogert, James Kevin Jones, James Kevin Jones

“…We describe the beam line design, including the flexibility of the beam optics to focus the beam in a range of locations and present results from preliminary start-to-end simulations using Monte Carlo tracking codes. We highlight advantages of this beam line, including rapid access to the shielded experimental hutch and the possibilities for the installation of different experimental setups in two dedicated chambers. …”
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Functional Analysis of Patients with Spinal Muscular Atrophy Based on Exploratory Item Response Theory Modeling by FAN Yabei, CHEN Jinjin, GE Panli, CHENG Xi, ZHANG Yichen, LIN Feng

“…Differential test functioning （DTF） test was conducted for gender and rehabilitation therapy to test the bias. Monte Carlo simulation was used to prove that the item difficulty distribution of the model was not affected by the sampling process. …”
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Black Hole Accretion and Spin-up through Stellar Collisions in Dense Star Clusters by Fulya Kıroğlu, Kyle Kremer, Sylvia Biscoveanu, Elena González Prieto, Frederic A. Rasio

“…While previous studies have mostly focused on repeated black hole mergers for spin and mass growth, this work examines the impact of physical collisions and close encounters between black holes and (noncompact) stars. Using Monte Carlo N -body models of dense star clusters, we find that a large fraction of black holes retained upon formation undergo collisions with stars. …”
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Health Risk Assessment of Chemicals: From Bulk to Nano by Soqrat Omari Shekaftik, Jamal Biganeh, Maedeh Hosseinzadeh, Hamidreza Jafari Nodoushan, Neda Mehrparvar

“…Results: Both quantitative and qualitative health risk assessments play critical roles in occupational health, with each method providing different levels of depth and accuracy depending on the situation. EPA Model, Monte-Carlo Simulation, Physiologically Based Pharmacokinetic (PBPK) Modeling, Quantitative Structure-Activity Relationship (QSAR) Models, Probabilistic Risk Assessment (PRA), Life Cycle Impact Assessment (LCIA), and Biologically Based Dose-Response (BBDR) Models, are among the most important quantitative methods for assessing the health risk of chemicals. …”
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Host-symbiont-gene phylogenetic reconciliation by Menet, Hugo, Trung, Alexia Nguyen, Daubin, Vincent, Tannier, Eric

“…Given three phylogenetic trees, we devise a Monte Carlo algorithm which samples evolutionary scenarios of symbionts and genes according to an approximation of their likelihood in the model. …”
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A Low Complexity Dual-Phase Alternating Scheme is Used With the PTS Method to Reduce PAPR for B5G Systems by Yung-Ping Tu, Chen-Wei Hsu

“…To reduce computational complexity, before entering the second stage, we employ the pre-process by Monte Carlo method to estimate the amount of subcarriers worth altering, denoted as <inline-formula> <tex-math notation="LaTeX">$\beta $ </tex-math></inline-formula>. …”
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