Predicting hydrogen diffusion in nickel–manganese random alloys using machine learning interatomic potentials by Kazuma Ito, Naoki Matsumura, Yuto Iwasaki, Yasufumi Sakai, Misaho Yamamura, Tomohiko Omura, Junichiro Yamabe, Hisao Matsunaga

“…However, the atomic-scale complexity of random alloys hinders the development of interatomic potentials that can accurately reproduce hydrogen behavior influenced by alloying elements. …”
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Finding Multiple Optimal Solutions to an Integer Linear Program by Random Perturbations of Its Objective Function by Noah Schulhof, Pattara Sukprasert, Eytan Ruppin, Samir Khuller, Alejandro A. Schäffer

“…In the present work, we introduce MORSE (Multiple Optima via Random Sampling and careful choice of the parameter Epsilon), a randomized, parallelizable algorithm to efficiently generate multiple optima for ILPs. …”
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Spatial heuristics and random spatial exploration: children, adults, and the machine coloring-in places in the grid game by Christiane Lange-Küttner, Jörg Beringer

“…This space was then filled in by the machine player at random places, which merged into a slightly smaller large area or many larger small areas.DiscussionHence, a similar outcome was achieved regardless of whether spatial concepts or random spatial explorations were devised. …”
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Ship path planning and tracking based on rapidly exploring random tree star and convex optimization by Chang ZHOU, Te YU, Jiapeng LIU, Dihua LU, Qingshan ZENG

“…ObjectivesTo address the challenges of path planning and tracking for underactuated ships in obstacle-filled waters, this paper proposes a ship path planning and tracking algorithm based on the rapidly exploring random tree (RRT*) and convex optimization. Methods The method utilizes the RRT* algorithm to sample and plan feasible paths in a grid environment, generating a sequence of key points for further optimization. …”
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The effect of use educational curriculum designer by Random Excitement Strategies In breaststroke technical performance learning by م.د بثينة عبد الخالق أ.م.رشوان محمد الهاشم

“…T-test for equal small samples. The fourth chapter includes a review , analysis and while the fifth chapter includes the conclusion and recommendations and some of the most important conclusion the researcher has attained are : 1 – the effect Random Excitement Strategies on teaching and learning breaststroke. 2 – there are significant differences between the two post-test for the both groups in favor of the experimental group . …”
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Interpretable model for rockburst intensity prediction based on Shapley values-based Optuna-random forest by Yaxi Shen, Shunchuan Wu, Yongbing Wang, Jiaxin Wang, Zhiquan Yang

“…The model was developed using 350 sets of actual rockburst sample data to explore the impact of input metrics on the final rockburst intensity level. …”
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Most Random-Encounter-Model Density Estimates in Camera-Based Predator–Prey Studies Are Unreliable by Sean M. Murphy, Benjamin S. Nolan, Felicia C. Chen, Kathleen M. Longshore, Matthew T. Simes, Gabrielle A. Berry, Todd C. Esque

“…Notably, placing cameras strategically to detect the predator, as is often required to obtain sufficient sample sizes, resulted in substantial density estimate inflation for both the predator and prey species. …”
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ESTIMATION OF THE TECHNICAL EFFICIENCY OF WHEAT FARMS UNDER THE SUPPLEMENTARY IRRIGATION SYSTEM USING THE STOCHASTIC FRONTIER APPROACH (NINEVEH GOVERNORATE- ALBAAJ DISTRICT AS A MO... by Emad Ahmed, Mohammed Ahmed, Osama Mohamed, Ahmed Ali

“…Wheat production in Iraq under permanent farming systems faced sharp seasonal fluctuations during the previous years resulting from Climate fluctuations that affected the output , and for the rational use of scarce water resources, an effective system to improve irrigation, and the research aimed To estimate the technical efficiency of wheat farms by means of random correlation analysis using the logarithmic production function, based on field data for a random sample of 30 farms in the district of Al-Baaj Nineveh Governorate for the agricultural season 2020-2021. …”
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Random Lasers Based on Tellurite and Germanate Glasses and Glass-Ceramics Doped with Rare-Earth Ions by Davinson M. da Silva, Josivanir G. Câmara, Niklaus U. Wetter, Jessica Dipold, Luciana R. P. Kassab, Cid B. de Araújo

“…Afterwards, the samples were crushed to obtain the powder samples for the RLs experiments. …”
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Mechanical performance prediction of basalt fiber reinforced concrete based on random forest and hyperparameter optimization by Dalian Bai, Junwen Chen, Jialiang Wang, Cunpeng Liu

“…A systematic comparison of different optimization methods was conducted using ten-fold cross-validation, and the results were based on 314 compressive strength test samples and 293 splitting tensile strength test samples. …”
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Random Scattering and Alternating Projection Optimization for Active Phase Control of a Laser Beam Array by Jeremy Saucourt, Paul Armand, Vincent Kermene, Agnes Desfarges-Berthelemot, Alain Barthelemy

“…A fraction of a laser beam array, whose unknown piston phase relationships must be set to prescribed values, is launched into a scattering media with random transmission. The resulting output speckle pattern is sampled by an array of photodiodes measuring the local light intensity. …”
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Hyperspectral Imaging Coupled with Random Frog and Calibration Models for Assessment of Total Soluble Solids in Mulberries by Yan-Ru Zhao, Ke-Qiang Yu, Yong He

“…The optimal PLSR model with 23 important wavelengths was employed to visualise the spatial distribution of TSS in tested samples, and TSS concentrations in mulberries were revealed through the TSS spatial distribution. …”
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Predicting the Permeability of Pervious Concrete Based on the Beetle Antennae Search Algorithm and Random Forest Model by Jiandong Huang, Tianhong Duan, Yi Zhang, Jiandong Liu, Jia Zhang, Yawei Lei

“…Based on the 36 samples designed in the laboratory and 4 key influencing variables, the permeability of pervious concrete can be obtained by varying mix-design parameters by RF. …”
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New eco-friendly random copolyesters based on poly(propylene cyclohexanedicarboxylate): Structure-properties relationships by L. Genovese, N. Lotti, M. Gazzano, L. Finelli, A. Munari

“…A series of novel random copolymers of poly(propylene 1,4-cyclohexanedicarboxylate) (PPCE) containing neo -pentyl glycol sub-unit (P(PCExNCEy)) were synthesized and characterized in terms of molecular and solid-state properties. …”
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Malware Detection Using a Random Forest Method Trained on a Balanced Synthetic Dataset by Neo Onica Matsobane, Sello Mokwena

“…The flow-based model generated an additional 13,402 samples, massively increasing the dataset size, even though the original dataset had only 11,598 data entries. …”
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Generative learning assisted state-of-health estimation for sustainable battery recycling with random retirement conditions by Shengyu Tao, Ruifei Ma, Zixi Zhao, Guangyuan Ma, Lin Su, Heng Chang, Yuou Chen, Haizhou Liu, Zheng Liang, Tingwei Cao, Haocheng Ji, Zhiyuan Han, Minyan Lu, Huixiong Yang, Zongguo Wen, Jianhua Yao, Rong Yu, Guodan Wei, Yang Li, Xuan Zhang, Tingyang Xu, Guangmin Zhou

“…However, data-driven methods require exhaustive data curation under random SOH and state of charge (SOC) retirement conditions. …”
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RMixDA: A Random Compound Data Augmentation Operation Framework for Neural Machine Translation by Huijun Wang, Xiaojing Du, Xinkun Hao

“…To address this, we propose RMixDA: a Random Mixed Algorithm Framework For Data Augmentation, which dynamically integrates multiple NMT-oriented data augmentation methods. …”
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Erbium-Doped Fibers Designed for Random Single-Frequency Lasers Operating in the Extended L-Band by Denis Lipatov, Alexey Abramov, Alexey Lobanov, Denis Burmistrov, Sergei Popov, Dmitry Ryakhovsky, Yuriy Chamorovskiy, Alexey Bazakutsa, Liudmila Iskhakova, Olga Egorova, Andrey Rybaltovsky

“…The paper presents the results of developing Er-doped optical fibers for creating random single-frequency lasers in the wavelength range of 1570–1610 nm. …”
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Fusion spectrum sensing algorithm based on eigenvalues by Wenjing ZHAO, He LI, Minglu JIN

“…Aiming at the problem of inefficient use of spectrum resources,a fusion spectrum sensing algorithm based on eigenvalues was proposed to effectively achieve dynamic spectrum sharing.The test statistics were constructed by employing the maximum eigenvalue,the trace and the geometric mean of all eigenvalues of the sample covariance matrix.The detection probability and false alarm probability of the proposed method were analyzed using the random matrix theory,and the analytical representation of the theoretical threshold was obtained.In addition,the parameter selection of the proposed algorithm was analyzed theoretically.Simulation results show that the proposed algorithm has better detection ability than the existing eigenvalue detection algorithm.…”
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RESTRICTED MAXIMUM LIKELIHOOD ESTIMATION FOR MULTIVARIATE LINEAR MIXED MODEL IN ANALYZING PISA DATA FOR INDONESIAN STUDENTS by Vera Maya Santi, Khairil Anwar Notodiputro, Indahwati Indahwati, Bagus Sartono

“…In this study, secondary data from the results of the 2018 PISA survey with Indonesian students as the smallest unit of observation were used as sample. School is used as an intercept random effect which is assumed to be normally distributed. …”
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