ISI sparse channel estimation based on ISL0 algorithm by Ting LIU, Jie ZHOU, CHIJiu-he JU

“…But this method has “notched effect” due to the negative iterative gradient direction. Moreover, the “steep nature” of cost function in SL0 is not steep enough, leading to channel estimation errors and make convergence results not the most optimal. …”
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Derivation, simplification, and application of the pseudo-pressure productivity equation of gas wells by CHEN Yuanqian

“…In this paper， the productivity equation for the pseudo-pressure of the gas well was derived based on the quadratic equation for the pressure gradient and flow velocity proposed by Forchheimer （1901） and the pseudo-pressure function proposed by Al-Hussainy （1966）. …”
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Assembly mechanism of fingolimod in lipid raft nanostructure domain by Wu Huan

“…Fingolimod (FTY720) is an immunomodulatory drug used to treat multiple sclerosis (MS), belonging to S1P receptor modulators. It regulates the function of immune cells by acting on the Sphingosine-1-phosphate receptor (S1P receptor), thereby achieving the effect of inhibiting immune system overactivity and slowing down the course of multiple sclerosis. …”
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Epidermal growth factor signalling controls myosin II planar polarity to orchestrate convergent extension movements during Drosophila tubulogenesis. by Aditya Saxena, Barry Denholm, Stephanie Bunt, Marcus Bischoff, Krishnaswamy VijayRaghavan, Helen Skaer

“…Physiological analysis demonstrates that animals whose tubules fail to elongate exhibit abnormal excretory function, defective osmoregulation, and lethality.…”
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Understanding Mesoscale Aggregation of Shallow Cumulus Convection Using Large‐Eddy Simulation by C. S. Bretherton, P. N. Blossey

“…In that minimal‐physics setting, the humidity budget analysis suggests self‐aggregation is more likely if horizontal‐mean humidity is a concave function of the horizontal‐mean virtual potential temperature, a condition favored by radiative cooling and cold advection within the boundary layer.…”
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A General Approximation Method for a Kind of Convex Optimization Problems in Hilbert Spaces by Ming Tian, Li-Hua Huang

“…The constrained convex minimization problem is to find a point x∗ with the property that x∗∈C, and h(x∗)=min  h(x), ∀x∈C, where C is a nonempty, closed, and convex subset of a real Hilbert space H, h(x) is a real-valued convex function, and h(x) is not Fréchet differentiable, but lower semicontinuous. …”
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Feedforward Nonlinear Control Using Neural Gas Network by Iván Machón-González, Hilario López-García

“…A state feedback control is implemented by estimation of the state variables based on the local transfer function that was provided by the local linear model. …”
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PoreWalker: a novel tool for the identification and characterization of channels in transmembrane proteins from their three-dimensional structure. by Marialuisa Pellegrini-Calace, Tim Maiwald, Janet M Thornton

“…Transmembrane channel proteins play pivotal roles in maintaining the homeostasis and responsiveness of cells and the cross-membrane electrochemical gradient by mediating the transport of ions and molecules through biological membranes. …”
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Classification of CT scan and X-ray dataset based on deep learning and particle swarm optimization. by Honghua Liu, Mingwei Zhao, Chang She, Han Peng, Mailan Liu, Bo Li

“…In the first stage, the model is trained using classical gradient descent, and relevant features are extracted; in the second stage, an objective function that minimizes the false positive rate is constructed to obtain a network model with high accuracy and low false positive rate. …”
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Welding Image Data Augmentation Method Based on LRGAN Model by Ying Wang, Zhe Dai, Qiang Zhang, Zihao Han

“…By incorporating the least squares loss function, the gradients of the model parameters were constrained within a reasonable range, which not only accelerated the convergence process but also effectively limited drastic changes in model parameters, alleviating the vanishing gradient problem. …”
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Models of Analysis of Credible Deviation from Speed Limits on Two-Lane Roads of Bosnia and Herzegovina by Marko Subotić, Nemanja Stepanović, Vladan Tubić, Edis Softić, Mouhamed Bayane Bouraima

“…In this paper, deterministic multistep mathematical models of speed deviation from the speed limit as a function of longitudinal gradient for the proposed vehicle classes were developed. …”
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Effect of Inclined Magnetic Field on Peristaltic Flow of Carreau Fluid through Porous Medium in an Inclined Tapered Asymmetric Channel by Tamara Sh. Ahmed

“…The expressions of stream function, temperature distribution, the coefficient of heat transfer, frictional forces at the walls of the channel, pressure gradient are calculated. …”
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The role of learned song in the evolution and speciation of Eastern and Spotted towhees. by Ximena León Du'Mottuchi, Nicole Creanza

“…Oscine songbirds learn vocalizations that function in mate attraction and territory defense; sexual selection pressures on these learned songs could thus accelerate speciation. …”
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Impact of Surface Cover Types and Coverage on Hydraulic Parameters of Overland Flow by Kai Zhang, Ning Li, Suhua Fu, Dike Feng

“…Under the four cover conditions, flow velocity, Froude number, flow depth, and shear stress exhibited significant power function relationships with coverage (R2 > 0.91). The relationships between Reynolds number and stream power with coverage were not significant under corn residue and rock fragment cover (P > 0.05), but showed significant power function relationships under sweet potato cover (R2 > 0.88). …”
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Thermodynamically consistent phase-field model for pressure-induced multiphase phase transformation of metals under intensive dynamic loading by Songlin Yao, Hao Zhang, Xiaoyang Pei, Jidong Yu, Qiang Wu

“…The driving force of the MPT consists of the Gibbs free energy, the gradient energy and the penalizing energy. In particular, a smooth and normalized interpolation function is introduced to establish the Gibbs free energy at the multiphase junction. …”
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The role of mitochondria-related genes in hepatocellular carcinoma prognosis: construction of prognostic models based on machine learning by Fei Gao, Fei Teng, Yuxiang Wan, Qiaoli Zhang, Jinchang Huang

“…Objectives This study investigated the relationship between mitochondrial function-related genes and HCC progression. Methods We systematically retrieved mitochondrial genetic data from the MitoCarta database and identified differentially expressed genes through Gene Expression Omnibus analysis. …”
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Zebrafish Agr2 is required for terminal differentiation of intestinal goblet cells. by Yi-Chung Chen, Yu-Fen Lu, I-Chen Li, Sheng-Ping L Hwang

“…<h4>Background</h4>Mammalian Anterior Gradient 2 (AGR2) is a protein disulfide isomerase that is required for the production of intestinal mucus and Paneth and goblet cell homeostasis. …”
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Significant Wave Height Retrieval in Tropical Cyclone Conditions Using CYGNSS Data by Xiangyang Han, Xianwei Wang, Zhi He, Jinhua Wu

“…To address this, this study proposes a daily global SWH retrieval framework through the enhanced eXtreme Gradient Boosting model (XGBoost-SC), which incorporates Cumulative Distribution Function (CDF) matching to introduce prior distribution information and reduce errors for SWH values exceeding 3 m. …”
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A refined lion optimizer for deep learning by Jian Rong, Chenhao Ma, Qinghui Zhang, Yong Cao, Weili Kou

“…However, due to the discreteness of the sign function, the optimizer’s parameter updates may fail to adapt dynamically with momentum in some models, leading to non-convergence issues. …”
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Prognostic nutritional index and diabetic peripheral neuropathy in type 2 diabetes: a machine learning approach by Ya Wu, Danmeng Dong, Yang Liu, Xiaoyun Xie

“…Conclusions Lower PNI levels were associated with increased DPN risk and poorer nerve function, highlighting the importance of nutritional status in DPN management. …”
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