User-cooperative dynamic resource allocation for backscatter-aided wireless-powered MEC network by Huaiwen He, Chenghao Zhou, Feng Huang, Hong Shen, Yihong Yang, Shangsong Liang, Xinyuan Jin

“…By leveraging Dinkelbach’s method and stochastic network optimization technique, we transform the problem into a series of deterministic sub-problems for each time slot, and convert the non-convex sub-problem into convex ones. …”
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Monte Carlo Algorithm For Matrices in Solving Systems of Linear Equations, Determinants, Inverse, Eigen Values, and Eigenvectors. by Bamwine, Delik

“…Monte Carlo methods, which are based on statistical sampling, exhibit many attractive properties in dealing with large volumes of datasets, including fast approximated results, memory efficiency, reduced data accesses, natural parallelism, and inherent fault tolerance. …”
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Microsphere-assisted generation of localized optical emitters in 2D hexagonal boron nitride by Yang Xiliang, Shin Dong Hoon, Watanabe Kenji, Taniguchi Takashi, Steeneken Peter G., Caneva Sabina

“…Our microsphere-assisted defect generation method reduces the emission area by a factor of 5 and increases the fluorescence collection efficiency by approximately 10 times compared to microsphere-free samples. …”
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A Novel Search Algorithm and Scan Time Estimation in Airborne Ground Penetrating Radar Using Cell Footprint Meshing by Morteza Kazerooni, Ehsan Shahroosvand

“…Simulation results indicate that this deterministic, geometry-based method yields an approximate 24% reduction in search time, consequently minimizing resource utilization. …”
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Differentiable Imaging: Progress, Challenges, and Outlook by Ni Chen, David J. Brady, Edmund Y. Lam

“…Looking forward, we discuss critical opportunities in theoretical foundations, system innovation, and scientific applications, highlighting how differentiable imaging is poised to not only revolutionize imaging technology itself but also accelerate scientific discovery through artificial intelligence-enabled, physics-consistent computational methods.…”
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Exploring Signature‐Based Model Calibration for Streamflow Prediction in Ungauged Basins by Marco Dal Molin, Dmitri Kavetski, Carlo Albert, Fabrizio Fenicia

“…In this study, the switch from observed to regionalized signatures increases predictive streamflow uncertainty by 38% and worsens the (deterministic) fit to observations by 17% (in terms of Nash‐Sutcliffe efficiency). …”
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Multi-UAV Path Planning for Air-Ground Relay Communication Based on Mix-Greedy MAPPO Algorithm by Yiquan Wang, Yan Cui, Yu Yang, Zhaodong Li, Xing Cui

“…In this paper, a Multi-Agent Reinforcement Learning (MARL) method based on the ε-greedy strategy and multi-agent proximal policy optimization (MAPPO) algorithm is proposed to address the local optimization problem, improving the communication efficiency and task execution capability of UAV cluster control. …”
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Enhanced Single Cavity Soliton Generation in Kerr Microresonators Via Inverse-Kelly Sideband by Mingle Liao, Heng Zhou, Yong Geng, Yun Ling, Baojian Wu, Kun Qiu

“…Our method only requires fixed-speed unidirectional pump frequency sweeping to achieve single soliton state, avoiding complex pump scanning trajectory and high frequency pump modulation. …”
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Artificial Intelligence in UAV Flight Controls: Deep Reinforcement Learning Based Altitude-Hold Strategies for Fixed-Wing UAVs by Hasan Raza Khanzada, Adnan Maqsood, Abdul Basit

“…The deep deterministic policy gradient (DDPG) method was chosen to suit environments with continuous action spaces. …”
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Insurance: is it better together? by E. A. Rusetskaya, D. A. Zakharova, A. A. Krechetova, A. I. Shchetinskaya, Ya. D. Gundar, K. S. Frolov

“…The study intends to identify the potential reasons for the relatively insignificant share of MIS in the insurance market and to assess the attractiveness of the latter in increasing the efficiency of the insurance mechanism in the system of ensuring the financial security of citizens and economic entities.Materials and methods. …”
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Quantum-inspired robust optimization for coordinated scheduling of PV-hydrogen microgrids under multi-dimensional uncertainties by Yunxiao Bai, Yu Sui, Xiaoyu Deng, Xiangbing Wang

“…These include fluctuations in PV output, stochastic hydrogen demand, and volatile market prices. Traditional deterministic or static robust methods often fall short in handling such dynamic, multi-dimensional uncertainties. …”
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Spin coupling is all you need: Encoding strong electron correlation in molecules on quantum computers by Daniel Marti-Dafcik, Hugh G. A. Burton, David P. Tew

“…We provide quantum circuits for deterministic preparation of a family of spin eigenfunctions with (N/N/2) Slater determinants with depth O(N) and O(N^{2}) local gates. …”
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Effect of Warming on Soil Fungal Community Along Altitude Gradients in a Subalpine Meadow by Jing Yin, Dandan Yuan, Jing Lu, He Li, Shuzheng Luo, Jianhua Zhang, Xingjia Xiang

“…This study aimed to evaluate the effects of warming on aboveground grass, belowground soil properties, and fungal community along altitude gradients in the subalpine meadow of Mount Wutai using the high-throughput sequencing method. Warming reduced the restriction of low temperatures on the growth of subalpine grass, resulting in increasing grass biomass, community height, and coverage. …”
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A Comprehensive Approach for Performance Evaluation in Petrochemical Industry: Integrating Sustainable Balanced Scorecard, Dynamic Network DEA, and DEMATEL in a Neutrosophic Enviro... by Hasan Abedifar, Bijan Rahmani Parchikolaei, Seyyed Mohammad Hadji Molana, Mahnaz Ahadzadeh Namin

“…To manage uncertainty within the model, we transformed the proposed model into deterministic forms. This enabled computation of efficiency boundaries at varying degrees of variation, providing robust performance analysis. …”
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Model-Based Variation-Aware Optimization for Offset Calibration and Pre-Sensing in DRAM Sense Amplifiers by Dongyeong Kim, Geon Kim, Suyeon Kim, Jewon Park, Sinwook Kim, Hyeona Seo, Chaehyuk Lim, Sowon Kim, Juwon Lee, Jeonghyeon Yun, Hyerin Lee, Jinseok Park, Yongbok Lee, Seungchan Lee, Myoungjin Lee

“…The primary advantage of the proposed model lies in its design optimization efficiency. While HSPICE simulations combining Monte Carlo (MC) and binary search methods require numerous iterations for single design point verification, our model significantly reduces design time by effectively narrowing the region of interest through pre-optimization using statistical characteristics. …”
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Chance-constrained optimal schedule of battery energy storage considering the uncertainties of renewable generation by Zhi Li, Dawei Xie, Haifeng Ye, Yujun Li, Jinzhong Li, Yichi Chen, Yue Yang

“…Furthermore, these constraints are transformed into their deterministic equivalents using quantile-based methods. …”
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Gaslike Social Motility: Optimization Algorithm with Application in Image Thresholding Segmentation by Oscar D. Sanchez, Luz M. Reyes, Arturo Valdivia-González, Alma Y. Alanis, Eduardo Rangel-Heras

“…Additionally, GSM’s efficiency in image thresholding segmentation is highlighted, as it achieves high-quality results with fewer iterations and particles compared to other methods.…”
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Coordinated Reentry Guidance with A* and Deep Reinforcement Learning for Hypersonic Morphing Vehicles Under Multiple No-Fly Zones by Cunyu Bao, Xingchen Li, Weile Xu, Guojian Tang, Wen Yao

“…The A* algorithm generates heuristic trajectories circumventing no-fly zones, reducing the evaluation function by 6.2% compared to greedy methods, while DDPG optimizes sweep angles to minimize velocity loss and terminal errors (0.09 km position, 0.01 m/s velocity). …”
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Pharmacoeconomic study of various treatment options for superficial vein thrombophlebitis of lower extremities by R. E. Kalinin, I. A. Suchkov, M. M. Uporov, D. S. Titov, M. Yu. Klishchenko

“…Objective: рharmacoeconomic evaluation of pharmacotherapy, crossectomy (in combination with pharmacotherapy) and phlebectomy (in combination with pharmacotherapy) in patients with SVT of lower extremities.  Material and methods. Pharmacoeconomic evaluation was carried out using cost-effectiveness analysis (CEA) by calculating the costeffectiveness ratio (CER). …”
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Development and Use of Biotechnological System Models in Applied Scientific Research by M. A. Kerimov

“…(Materials and methods) The paper explores the conditions governing the operation of biotechnical systems characterized by inherent randomness (in the probabilistic-statistical sense). …”
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