An Adaptive Information Borrowing Platform Design for Testing Drug Candidates of COVID-19 by Liwen Su, Jingyi Zhang, Fangrong Yan

“…Compared with the nonborrowing method, borrowing information in the design substantially improves the probability of screening promising drugs and saves the sample size. …”
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Prediction of regional water resources carrying capacity based on stochastic simulation: A case study of Beijing-Tianjin-Hebei Urban Agglomeration by Wentao Xu, Junliang Jin, Jianyun Zhang, Shanshui Yuan, Ming Tang, Yanli Liu, Tiesheng Guan

“…Traditional prediction methods obtained a definite WRCC value but fail to reflect the uncertainty of WRCC changes and limit reference for the optimal allocation of water resources. …”
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Power Control for Full-Duplex Device-to-Device Underlaid Cellular Networks: A Stackelberg Game Approach by Zhen Yang, Titi Liu, Guobin Chen

“…We build an optimization problem under the outage probability constraint and power constraint and the transmission power of the users is obtained by using the Lagrangian dual decomposition method. …”
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Study on Nuclear Accident Precursors Using AHP and BBN by Sujin Park, Huichang Yang, Gyunyoung Heo, Muhammad Zubair, Rahman Khalil Ur

“…The pair-wise importance between precursors is calculated by Analytic Hierarchy Process (AHP) and the results are converted into node probability tables of the BBN model. Using this method, the sensitivity and the posterior probability of each precursor can be analyzed so that it enables making prioritization for the factors. …”
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Performance Analysis for Cooperative Communication System in Optical IoUT Network With HDAF Strategy by Shuang Li, Ping Wang, Weina Pang, Wei Wang, Lixin Guo

“…With the help of Gauss-Hermite and Gauss-Legendre quadrature numerical methods, the closed-form expressions of the average bit error ratio (ABER) and outage probability for this cooperative optical HDAF-IoUT system are derived and verified by the Monte Carlo (MC) simulations. …”
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Cost-utility and budget impact analyses of valganciclovir for cytomegalovirus retinitis in patients with human immunodeficiency virus in Thailand by Tippawan Wongwian, Jatapat Hemapanpairoa, Nattanichcha Kulthanachairojana

“…Cost, utility, and probability parameters were obtained from the published literature and national databases. …”
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Prioritization of Bridges to Improve Emergency Road Network Performance after the Earthquake by Alireza Shooreshi, Hassan Zoghi

“…In this paper, to prioritize bridges in an emergency road network, a five-stage methodology is presented using analytical methods and an optimization model. Given the importance of network length and critical points connectivity in the efficiency of the emergency road network, the probability of failure, network length, and travel time have been used as major indicators in prioritizing bridges for retrofit funding, especially in the first 72 hours after the disaster. …”
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Application of Levy flight-based harmony search algorithm for the flexible job shop scheduling by Jun Li, Yang Zhou

“…Abstract The Flexible Job Shop Scheduling Problem (FJSP) is an extension of the classical job shop scheduling problem, which is characterized by the fact that each process can be processed on multiple candidate machines, and needs to solve the two subproblems of machine allocation and process sequencing simultaneously. Since FJSP is an NP-hard problem, its complexity and multi-objective characteristics make the traditional exact methods inefficient. …”
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Building Construction Design Based on Particle Swarm Optimization Algorithm by Wenxue Song

“…Through the analysis of prefabricated building construction safety risk factors, the combination of the Markov Chain and Bayesian networks method was used to estimate the probability of risk factors. …”
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Metaheuristic-Based Cepstral Sensing Technique for Prolonging Network Lifetime and Mitigating Primary User Emulation Attacks in Cognitive Radio Sensor Network by V. Abilasha, A. Karthikeyan

“…Conversely, by manipulating secondary users, Primary User Emulation Attack (PUEA) create severe threats to security and cause improper spectrum allocation and higher energy usage. To overcome this issue, we present a Cepstral Spectrum Sensing Multi-Hop Whale Optimization Algorithm (CSSMWA) and the proposed cepstral sensing uses a Logarithmic Spectral Derivative algorithm that aids in identifying authentic primary users from mimicked signals due to its feature-revealing properties, elevating the ability to identify the precision of PUEAs, perform better than other methods with low, moderate to high noise levels. …”
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Individualized Analysis of Nipple‐Sparing Mastectomy Versus Modified Radical Mastectomy Using Deep Learning by Enzhao Zhu, Linmei Zhang, Pu Ai, Jiayi Wang, Chunyu Hu, Huiqing Pan, Weizhong Shi, Ziqin Xu, Yidan Fang, Zisheng Ai

“…To mitigate bias in treatment allocation, advanced statistical methods, including propensity score matching (PSM) and inverse probability treatment weighting (IPTW), were applied. …”
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Factors associated with weighing a child at birth: Evidence from 16 sub-Saharan African countries. by Alex Bawuah, Samuel Ampaw, Edward Nketiah-Amponsah

“…This data guides resource allocation and the design of targeted health policies to address neonatal complications and mortalities. …”
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Distributed Photovoltaic Distribution Voltage Prediction Based on eXtreme Gradient Boosting and Time Convolutional Networks by Fang Yuan, Yong Lu, Zhi Xie, Shenxiang Dai

“…The current distribution voltage prediction methods have low accuracy and cannot realize more efficient system power allocation. …”
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Probabilistic forecasting of renewable energy and electricity demand using Graph-based Denoising Diffusion Probabilistic Model by Amir Miraki, Pekka Parviainen, Reza Arghandeh

“…Extensive experiments validate that our proposed method reduces the Continuous Ranked Probability Score (CRPS) by 2.1%–70.9%, Mean Absolute Error (MAE) by 4.4%–52.2%, and Root Mean Squared Error (RMSE) by 7.9%–53.4% over existing methods on two real-world datasets.…”
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Resilient Operation Strategies for Integrated Power-Gas Systems by Behdad Faridpak, Petr Musilek

“…It demonstrates that the secure adoption of gas turbines with optimal capacity and allocation can enhance the resilience of the ADS during high-impact, low-probability (HILP) events. …”
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Developing an electronic surprise question to predict end-of-life prognosis in a prospective cohort study of acute hospital admissions by Baldev Singh, Nisha Kumari-Dewat, Adam Ryder, Vijay Klaire, Hannah Jennens, Kamran Ahmed, Mona Sidhu, Ananth Viswanath, Emma Parry

“…Participants: 18,838 acute medical admissions. Interventions: Allocation of mortality probability by binary logistic regression model (X2=6,650.2, p<0.001, r2 = 0.43) and stepwise algorithmic risk-stratification. …”
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Aplikasi Pertimbangan Wisata di Pulau Lombok dengan Metode Fuzzy Mamdani & Algoritma Genetika by Zainul Harir, Ida Bagus Ketut Widiartha, Royana Afwani

“…Genetic Algorithm (GA) is used in providing optimal budget allocation in traveling on Lombok IslandThe results of testing with manual calculations and different defuzzification models have 100% accurate, the application of GA obtained optimal budget allocation on crossover probability (pc) and mutation probability (pm) combination with (pc) 0.7 and (pm) 0.2. …”
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Capacity planning for hydro-wind-photovoltaic-storage systems considering high-dimensional uncertainties by Xiongwei Li, Jintao Song, Yuquan Ma, Ziqi Zhu, Hongxu Liu, Chuxi Wei

“…Firstly, a scenario generation method based on the transition probability matrix and C-Vine Copula model is developed. …”
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Minimization of Resource Consumption with URLLC Constraints for Relay-Assisted IIoT by Yujie Zhao, Tao Peng, Yichen Guo, Yijing Niu, Wenbo Wang

“…Consequently, the closed-form solution to optimal blocklength allocation is derived. In the second subproblem, the total blocklength is minimized via a bisection search method. …”
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Freedom from infection: enhancing decision-making for malaria elimination by Chris Drakeley, Dyah A S Lesmanawati, Riris Andono Ahmad, Lindsey Wu, Isabel Byrne, Henry Surendra, Luca Nelli, Risalia Reni Arisanti, Iqbal R F Elyazar, Elin Dumont, Jason Matthiopoulos, Gillian Stresman

“…Our approach addresses the limitations of traditional criteria for declaring freedom from disease and opens the path to true optimisation of the allocation of limited resources. Our findings emphasise the urgent need to reassess existing methods to accurately confirm malaria elimination, and the importance of using comprehensive modelling techniques to continually monitor and maintain the effectiveness of current surveillance systems, enabling decisions grounded in quantitative evidence.…”
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