An Innovative Priority-Aware Mission Planning Framework for an Agile Earth Observation Satellite by Guangtong Zhu, Zixuan Zheng, Chenhao Ouyang, Yufei Guo, Pengyu Sun

“…Experimental results demonstrate the framework’s superior performance, achieving a 94% coverage rate and a 99.5% reduction in computation time compared to traditional scheduling methods, such as linear programming and genetic algorithms.…”
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Quantum DeepONet: Neural operators accelerated by quantum computing by Pengpeng Xiao, Muqing Zheng, Anran Jiao, Xiu Yang, Lu Lu

“…Given the progress in quantum algorithms and hardware, here we propose to utilize quantum computing to accelerate DeepONet evaluations, yielding complexity that is linear in input dimensions. Our proposed quantum DeepONet integrates unary encoding and orthogonal quantum layers. …”
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A note on quadratic performance of a class of switched uncertain nonlinear systems by Yufang Chang, Guisheng Zhai, Ziyi He, Bo Fu

“…In each subsystem, there exist norm-bounded uncertainty and constant vector in the linear part, and the vector field includes a nonlinear term with a quadratic constraint. …”
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THE SOLUTION OF THE APPROXIMATION PROBLEM OF NONLINEAR DEPENDANCES USING ARTIFICIAL NEURAL NETWORKS by V. N. Ageyev

“…These properties are based on the a priori data of the approximated functions (linear, quadratic, logarithmic, exponential relationship). …”
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Prosumer based decentralized charging infrastructure in residential distribution network for power management by Sumant Sarmokadam, M. Suresh

“…The penetration of EV load at distribution networks is very difficult to analyze due to its non-linear nature. The unpredicted and uncoordinated EV load on the electric charging station (ECS) create excess power demand, which is very challenging to supply from the grid during peak load condition. …”
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Reconnecter villes et campagnes : vers des symbioses agricoles et agri-urbaines ? Une exploration sur le plateau de Saclay by Caroline Petit, Florent Levavasseur, Yoann Verger

“…They also show that the system as a whole is still marked by a linear, externalised operation. Different ways are envisaged to set up more agricultural and agri-urban symbioses, all of them requiring technological, organisational and cultural changes at different levels. …”
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FAILURE PREDICTION OF BOLTED CONNECTION OF COMPOSITE MATERIALS BASED ON DEEP LEARNING (MT) by PENG Fan, ZOU SiNong, REN YiRu

“…Aiming at the problem of failure strength analysis and prediction of bolted composite connection, the strong nonlinear mapping ability of deep learning neural network was used to non-linear fit the influence of different parameters on the failure load of composite bolting, and the influence weight of each parameter was allocated. …”
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Smart Data and Decision Support System for Local Optimization of Electric Charging Stations by Mauro Mazzei, Cristian Michelotti

“…Key contributions include a hybrid mathematical model combining Integer Linear Programming with algorithmic strategies—Greedy heuristics, Simple Plant Location Problem (SPLP), and Analytic Hierarchy Process (AHP). …”
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Classification of NSCLC subtypes using lung microbiome from resected tissue based on machine learning methods by Pragya Kashyap, Kalbhavi Vadhi Raj, Jyoti Sharma, Naveen Dutt, Pankaj Yadav

“…Differentially enriched taxa were identified using LEfSe, revealing ten potential microbial markers. Linear discriminant analysis (LDA) was subsequently applied to enhance inter-class separability. …”
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Predictive Modeling of the Hydrate Formation Temperature in Highly Pressurized Natural Gas Pipelines by Mustafa Karaköse, Özgün Yücel

“…Data were collected in accordance with the BOTAS Gas Network Code specifications, approved by the Turkish Energy Market Regulatory Authority (EMRA), and generated using DNV GasVLe v3.10 software, which predicts the phase behavior and properties of hydrocarbon-based mixtures under various pressure and temperature conditions. We employed linear regression, decision tree regression, random forest regression, generalized additive models, and artificial neural networks to create prediction models for hydrate formation temperature (HFT). …”
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Autonomous Decision-Making for Air Gaming Based on Position Weight-Based Particle Swarm Optimization Algorithm by Anqi Xu, Hui Li, Yun Hong, Guoji Liu

“…Next, the problem is adapted into a single-objective optimization problem using hierarchical analysis and linear weighting. Finally, considering a problem where the convergence of the particle swarm optimization (PSO) is not enough to meet the demands of a particular scenario, the PW-PSO algorithm is proposed, introducing position weight information and optimizing the speed update strategy. …”
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Time-Free Solution to Hamilton Path Problems Using P Systems with d-Division by Tao Song, Xun Wang, Hongjiang Zheng

“…In previous works, such systems can theoretically generate exponential working space in linear time and thus provide a way to solve computational hard problems in polynomial time by a space-time tradeoff, where the precise execution time of each evolution rule, one time unit, plays a crucial role. …”
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The impact of digitalization on organizational agility: evidence from the enterprise survey for innovation and entrepreneurship in China by Jingyi Zhang, Sha Zhang, Xiongkai Tan, Hong Zhao

“…This study is conducted against this backdrop, aiming to thoroughly investigate the influence of digitalization on organizational agility. Using a multiple linear regression model, it examines the influence of digitalization on agility based on data from ESIEC. …”
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Biomechanical comparison of the efficacy of Cfr-PEEK and titanium systems in the fixation following sagittal split advancement osteotomy: a biomechanical study by Esengul Sen, Damla Torul

“…Fixation was performed with a 4-hole titanium mini plate for 5 mm advancement in Group 1, with a 4-hole Cfr-PEEK mini plate for 5 mm advancement for Group 2, with a 4-hole titanium mini plate for 10 mm advancement for Group 3, and with a 4-hole Cfr-PEEK mini plate for 10 mm advancement for Group 4. A linear vertical load of 50 N was applied to all models from the molar region. …”
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Towards experimental mountaineering? by Anne-Laure Amilhat Szary

“…Their aim was to follow a border along its entire linear route, the abstract nature of which is generally only experienced when one crosses it from one country to another. …”
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Bifurcations of stationary manifolds formed in the neighborhood of equilibrium in the dynamic cutting system by Vilor Lavrentyevich Zakovorotny, Alexandra Anatolyevna Gubanova, Veronika Vladimirovna Khristoforova

“…The dynamic subsystem of the tool is presented by a linear dynamic system in the plane orthogonal to a cutting surface. …”
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A Mathematical Model of Tumor Volume Changes during Radiotherapy by Ping Wang, Yuanming Feng

“…The correction factors containing hypoxia, DNA single strand breaks, potentially lethal damage, and other factors were used to develop an improved cell survival model based on the popular linear-quadratic model of cell survival in radiotherapy. …”
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Dispersive Optical Wireless Indoor Channels—From Frequency-Domain Modeling to Bit-Error-Rate Prediction by Henrik Schulze, Jan Mietzner, Peter Adam Hoeher

“…Moreover, the optical channel model is embedded in an end-to-end electrical channel model suitable for intensity-modulation/direct detection schemes under linear operation. To significantly reduce the simulation time, a so-called chip-rate model is presented. …”
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Pushing the Limits of Vision-Language Models in Remote Sensing without Human Annotations by K. Cha, D. Yu, J. Seo, H. Choi, T. Jeon

“…Moreover, in tasks exclusively employing vision encoders, such as linear probing and k-NN classification, our model demonstrated superior efficacy compared to those relying on domain-specific vision-language datasets.…”
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Absorbed Energy and Fracture Characteristics of Cement Paste Modified with SBR Latex Through Charpy and Three-Point Bending Tests by Jung J. Kim

“…The results show that the optimal P/W ratio is 10%, at which tensile strength increased by 42.1%, energy absorption increased by 36.3%, and fracture energy increased by 29.6%, while compressive strength decreased by a maximum of 11.6%. A linear relationship between fracture energy and energy absorption after 28 days was proposed, allowing for the estimation of fracture energy from energy absorption data. …”
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