Biomorphological traits and leaf dry matter content are important to plant persistence in a highly unstable volcanic ground by Anton P. Korablev, Elizaveta V. Sandalova, Kirill A. Arapov, Ksenia M. Zaripova

“…A whole set of categorical traits, i.e. plant functional types, characterised the adaptation of plants to unstable ground. …”
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Laser-Induced Breakdown Spectroscopy Quantitative Analysis Using a Bayesian Optimization-Based Tunable Softplus Backpropagation Neural Network by Xuesen Xu, Shijia Luo, Xuchen Zhang, Weiming Xu, Rong Shu, Jianyu Wang, Xiangfeng Liu, Ping Li, Changheng Li, Luning Li

“…The hidden layer activation functions are key to ANN model performance, yet common activation functions usually suffer from problems such as gradient vanishing (e.g., Sigmoid and Tanh) and dying neurons (e.g., ReLU). …”
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On Anisotropic $BV$-Spaces by P. Kogut

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Hybrid 3D microfluidic bioprinting for the engineering of cancer models and tissue substitutes by Salvatore D’Alessandro, Sajad Mohammadi, Lucia Iafrate, Marco Bastioli, Martina Marcotulli, Silvia Franco, Biagio Palmisano, Michele D’Orazio, Arianna Mencattini, Roberta Angelini, Mara Riminucci, Franco Marinozzi, Eugenio Martinelli, Giancarlo Ruocco, Fabiano Bini, Gianluca Cidonio

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Investigated Non-Conic Model for Constrained Optimization by Eman Al-Haj Saeed, Huda Ahmed

“…In this search,  we develop the nonlinear constrained optimization by investigation a new region of solution depending on extended conic model to non-conic model by using conjugate gradient method. The new method is too effective when compared with other established algorithms to solve standard constrained optimization problems it performance from evaluations were the number of function (NOF),number of iteration (NOI) and  the number of constrained (NOC).…”
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Physicochemical Properties and Cytoprotective Effects on PC12 Cells of Polysaccharides from <i>Belamcanda chinensis</i> (L.) DC. Obtained via a Gradient Ethanol Precipitation Metho... by Yuanqi Duan, Jinfeng Sun, Yongkang Xue, Weiwei Xu, Yuxin Jiang, Tieqiang Zong, Wei Zhou, Zhengyu Hu, Gao Li

“…Given that the preparation method of polysaccharides affects the functional properties, four types of acidic polysaccharides (BCP30-1a, BCP50-1a, BCP70-1a, and BCP90-1a) were prepared using the gradient ethanol precipitation method. …”
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On a strict mathematical definition of the brachistochrone’s shape taking into account the thermal effect in the contact zone by S.O. Gladkov, S.B. Bogdanova

Mechanistic insights into the recognition of Fe2+ and solvent-driven selectivity of chalcone-based receptors by Ajay Shankar

“…Spectrosc. 287 (2023) 122107; 303 (2023) 123129], this study offers novel insight into the supramolecular recognition of Fe2+ by receptor R1, wherein the conventional chalcone binding strategy is extended. Density Functional Theory (DFT) is used to differentiate the complexation behavior of chalcone-based receptors (R1, R2, R3), revealing key nucleophilic centres, particularly the carbonyl and phenolic oxygen atoms, as primary coordination sites. …”
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Transforming Total‐Field Magnetic Anomalies Into Three Components Using Dual‐Layer Equivalent Sources by Duan Li, Qing Liang, Jinsong Du, Shida Sun, Yi Zhang, Chao Chen

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Robust reinforcement learning algorithm based on pigeon-inspired optimization by Mingying ZHANG, Bing HUA, Yuguang ZHANG, Haidong LI, Mohong ZHENG

“…Reinforcement learning(RL) is an artificial intelligence algorithm with the advantages of clear calculation logic and easy expansion of the model.Through interacting with the environment and maximizing value functions on the premise of obtaining little or no prior information, RL can optimize the performance of strategies and effectively reduce the complexity caused by physical models .The RL algorithm based on strategy gradient has been successfully applied in many fields such as intelligent image recognition, robot control and path planning for automatic driving.However, the highly sampling-dependent characteristics of RL determine that the training process needs a large number of samples to converge, and the accuracy of decision making is easily affected by slight interference that does not match with the simulation environment.Especially when RL is applied to the control field, it is difficult to prove the stability of the algorithm because the convergence of the algorithm cannot be guaranteed.Considering that swarm intelligence algorithm can solve complex problems through group cooperation and has the characteristics of self-organization and strong stability, it is an effective way to be used for improving the stability of RL model.The pigeon-inspired optimization algorithm in swarm intelligence was combined to improve RL based on strategy gradient.A RL algorithm based on pigeon-inspired optimization was proposed to solve the strategy gradient in order to maximize long-term future rewards.Adaptive function of pigeon-inspired optimization algorithm and RL were combined to estimate the advantages and disadvantages of strategies, avoid solving into an infinite loop, and improve the stability of the algorithm.A nonlinear two-wheel inverted pendulum robot control system was selected for simulation verification.The simulation results show that the RL algorithm based on pigeon-inspired optimization can improve the robustness of the system, reduce the computational cost, and reduce the algorithm’s dependence on the sample database.…”
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Investigation of Wall Effect Simulation Methods in Saline Density Currents by Somayyeh Mohammadiyan Lanbaran, Afshin Eghbalzadeh

“…Subsequently, the effects of near-wall modeling approaches, including standard and non-equilibrium wall functions, as well as the enhanced near wall treatment, on flow simulation accuracy were evaluated. …”
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MOMFNet: A Deep Learning Approach for InSAR Phase Filtering Based on Multi-Objective Multi-Kernel Feature Extraction by Xuedong Zhang, Cheng Peng, Ziqi Li, Yaqi Zhang, Yongxuan Liu, Yong Wang

“…MOMFNet incorporates a multi-objective loss function that accounts for both the spatial and statistical characteristics of the denoising results, while its multi-kernel convolutional feature extraction module captures multi-scale information comprehensively. …”
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Network-based intrusion detection using deep learning technique by Muhammad Farhan, Hafiz Waheed ud din, Saadat Ullah, Muhammad Sajjad Hussain, Muhammad Amir Khan, Tehseen Mazhar, Umar Farooq Khattak, Ines Hilali Jaghdam

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A Comparative Study Between Soft Actor-Critic (SAC) and Deep Deterministic Policy Gradient (DDPG) Algorithms for Solar PV MPPT Control Under Partial Shading Conditions by Sampson E. Nwachukwu, Komla A. Folly, Kehinde O. Awodele

“…Unlike DDPG, which utilizes only one Q-network in the critic, SAC utilizes two Q-networks in the critic and maximum entropy policy in the reward function, which guarantees its training stability and improves its exploration and robustness in the presence of &#x201C;estimation and model errors&#x201D;. …”
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Can thermoregulatory response to heat stress be improved in lactating dairy cows? Insights from counter-current heat transfer systems impacting reproduction by Fernando LÓPEZ-GATIUS

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Do oribatid mites of tropical montane rainforests respond to nitrogen and phosphorus additions? by Laura M. Sánchez‐Galindo, Dorothee Sandmann, Franca Marian, Mark Maraun, Stefan Scheu

“…Abstract Nitrogen (N) and phosphorus (P) depositions worldwide are increasing the risks of biodiversity and functionality loss in terrestrial ecosystems, particularly in tropical regions. …”
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Land Use and Ecosystem Service Value Spatiotemporal Dynamics, Topographic Gradient Effect and Their Driving Factors in Typical Alpine Ecosystems of the East Qinghai‐Tibet Plateau:... by Bin Feng, Jianwei Zhou, Lu Hu, Zherong Liu, Yi Yang, Shuai Yang, Jianying Ni, Wenke Bai, Shanshan Zhao

“…Grasslands played the most substantial role in contributing to Shiqu's ESV. (3) From 1980 to 2020, all ecosystem service functions exhibited ESV growth, with hydrological regulation and water supply notably increasing by 9.07% and 8.81%, respectively. (4) Land‐use distribution demonstrates significant vertical zonation along gradients of altitude, slope, aspect, and terrain ruggedness, resulting in pronounced vertical variations in ESV, per unit area ESV, and ESV across various ecosystem service functions. (5) The spatial differentiation of ESV in Shiqu County is influenced by both natural and economic factors, with natural factors exerting a more substantial influence on spatial disparities than economic factors. …”
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Transformation of NETs under the effect of pathogens and IgG by A. N. Kazimirskii, J. M. Salmasi, G. V. Poryadin, M. I. Panina, A. E. Kim, L. S. Rogozhina

“…To investigate morphological and functional transformation of NETs under the influence of Klebsiella pneumoniae and immunoglobulin G (IgG).Materials and methods. …”
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Application of machine learning models in predictive maintenance of Francis hydraulic turbines by Júlio César Silva de Souza, Oswaldo Honorato Júnior, Geraldo Lúcio Tiago Filho, Otávio Augusto Salgado Carpinteiro, Hailton Silveira Domingues Biancardine Júnior, Ivan Felipe Silva dos Santos

“…ABSTRACT Cavitation is a phenomenon that reduces the useful life of hydraulic machines, taking place in function of the variation of the pressure gradient at a constant temperature. …”
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Static Analysis of Temperature-Dependent FGM Spherical Shells Under Thermo-Mechanical Loads by Zhong Zhang, Zhiting Feng, Zhan Shi, Honglei Xie, Ying Sun, Zhenyuan Gu, Jie Xiao, Jiajing Xu

“…Static analysis is conducted for functionally graded material (FGM) spherical shells under thermo-mechanical loads, based on the three-dimensional thermo-elasticity theory. …”
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