Diversity, functionality, and stability: shaping ecosystem multifunctionality in the successional sequences of alpine meadows and alpine steppes on the Qinghai-Tibet Plateau by Xin Jin, Abby Deng, Yuejun Fan, Kun Ma, Yangan Zhao, Yingcheng Wang, Kaifu Zheng, Xueli Zhou, Guangxin Lu

“…Given this gap, we systematically investigate variations in vegetation diversity, functional diversity, and the often-overlooked dimension of community stability across the successional gradient from alpine meadows to alpine steppes. …”
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Detailed characterisation of the trypanosome nuclear pore architecture reveals conserved asymmetrical functional hubs that drive mRNA export. by Bernardo Papini Gabiatti, Johanna Krenzer, Silke Braune, Timothy Krüger, Martin Zoltner, Susanne Kramer

“…Our approach delivered novel nuclear pore associated components inclusive positional information, which can now be interrogated for functional roles to explore trypanosome-specific adaptions of the nuclear basket, export control, and mRNP remodelling.…”
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Constructing an Ecological Spatial Network Optimization Framework from the Pattern–Process–Function Perspective: A Case Study in Wuhan by An Tong, Yan Zhou, Tao Chen, Zihan Qu

“…Under the continuous disturbance of ecosystems driven by urbanization, landscape fragmentation and the disruption of ecological processes and functions are key challenges in optimizing ecological networks (EN). …”
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Predicion of the functional outcome of cerebral ischemic supratentorial stroke acute period on the basis of spectral analysis of the brain bioelectrical activity by A. A. Kuznietsov

“…The purpose of this study was to determine the most informative parameters of the brain bioelectrical activity spectral analysis for the functional outcome of cerebral ischemic supratentorial stroke (CISS) acute period prediction. …”
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Molecular structures and adsorption of dyes on bismuth oxychloride surfaces using density functional theory and Monte Carlo dynamic simulation by Tadesse Lemma Wakjira, Abebe Belay Gemta, Kumneger Tadele, Gashaw Beyene Kassahun, Umer sherefedin, T. Gurumurthi, Tesfaye Feyisa

“…The adsorption behavior of different dyes (methylene blue (MB), methyl orange (MO) and methyl red (MR)) on the BiOCl surface was investigated through density functional theory calculations and Monte Carlo dynamic simulations. …”
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Integration of Left Atrial Function Assessment, Genetic Risk, and Clinical Risk Factors Improves Prediction of Incident Atrial Fibrillation by Hanjin Park, Daehoon Kim, Eunsun Jang, Hee T. Yu, Tae‐Hoon Kim, Jae‐Sun Uhm, Jung‐Hoon Sung, Hui‐Nam Pak, Moon‐Hyoung Lee, Pil‐Sung Yang, Boyoung Joung

“…We explored whether the addition of left atrial (LA) function and polygenic risk score (PRS) to a clinical risk score improves risk prediction of AF. …”
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High-resolution transcriptome atlas of bladder cancer highlights the functional myeloid subsets in modulating immune microenvironmentResearch in context by Jiachen Liu, Zhen Shi, Yajian Li, Jie Ma, Jiaying Yao, Zan Yuan, Yuanhao Wang, Chunyuan Yang, Xiao Li, Nianzeng Xing, Yunping Zhu, Jianhong Zhang, Li Wu

“…Furthermore, our study demonstrates that TREM2 and APP function as immune-modulating molecules, with potential therapeutic implications in the context of bladder cancer. …”
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A risk prediction model for poor joint function recovery after ankle fracture surgery based on interpretable machine learning by Congyang Li, Chenggang Wang, Jiru Zhang, Wenjun Zheng, Jing Shi, Li Li, Xuezhi Shi

“…SHAP analysis showed that functional exercise compliance, combined ligament injury, and open fracture accounted for the largest proportion of SHAP values and were the most important influencing factors.ConclusionThrough evaluation and comparison of the developed models, the lasso-stacking model demonstrated the best performance and is more suitable for predicting joint function recovery after ankle surgery. …”
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Spectroscopic Study of Ice Analogs of Trans-Neptunian Objects Exposed to Ionizing Radiation. II. Infrared Spectra and Functional Groups by Chaojiang Zhang, Jia Wang, Andrew M. Turner, Leslie A. Young, Ralf I. Kaiser

“…The crust resulting from chemical reactions and products at various radiation levels can influence their spectral gradients and surface colors, which are essentially controlled by the chromophores of complex organic molecules. …”
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Phase Extraction Algorithm Based on the Spatial Carrier-Frequency Phase-Shifting Gradient by Haoren Zou, Liyun Zhong, Jiaosheng Li, Zhenda Sun, Yicheng Liu, Qinwen Ning, Xiaoxu Lu

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Gradient all-nanostructured aerogel fibers for enhanced thermal insulation and mechanical properties by Xiaotong Fu, Lianmeng Si, Zhaoxin Zhang, Tingting Yang, Qichun Feng, Jianwei Song, Shuze Zhu, Dongdong Ye

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Convergence of an Online Split-Complex Gradient Algorithm for Complex-Valued Neural Networks by Huisheng Zhang, Dongpo Xu, Zhiping Wang

“…Under certain conditions, by firstly showing the monotonicity of the error function, it is proved that the gradient of the error function tends to zero and the weight sequence tends to a fixed point. …”
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Method on intrusion detection for industrial internet based on light gradient boosting machine by Xiangdong HU, Lingling TANG

“…Intrusion detection is a critical security protection technology in the industrial internet, and it plays a vital role in ensuring the security of the system.In order to meet the requirements of high accuracy and high real-time intrusion detection in industrial internet, an industrial internet intrusion detection method based on light gradient boosting machine optimization was proposed.To address the problem of low detection accuracy caused by difficult-to-classify samples in industrial internet business data, the original loss function of the light gradient boosting machine as a focal loss function was improved.This function can dynamically adjust the loss value and weight of different types of data samples during the training process, reducing the weight of easy-to-classify samples to improve detection accuracy for difficult-to-classify samples.Then a fruit fly optimization algorithm was used to select the optimal parameter combination of the model for the problem that the light gradient boosting machine has many parameters and has great influence on the detection accuracy, detection time and fitting degree of the model.Finally, the optimal parameter combination of the model was obtained and verified on the gas pipeline dataset provided by Mississippi State University, then the effectiveness of the proposed mode was further verified on the water dataset.The experimental results show that the proposed method achieves higher detection accuracy and lower detection time than the comparison model.The detection accuracy of the proposed method on the gas pipeline dataset is at least 3.14% higher than that of the comparison model.The detection time is 0.35s and 19.53s lower than that of the random forest and support vector machine in the comparison model, and 0.06s and 0.02s higher than that of the decision tree and extreme gradient boosting machine, respectively.The proposed method also achieved good detection results on the water dataset.Therefore, the proposed method can effectively identify attack data samples in industrial internet business data and improve the practicality and efficiency of intrusion detection in the industrial internet.…”
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An Extensible Gradient-Based Optimization Method for Parameter Identification in Power Distribution Network by Chuanjun Wang, Kehao Fei, Xinle Xu, Haoran Chen, Ke Hu, Shihe Xu, Jiayang Ma

“…By comparing the proposed method with several heuristic algorithms, it is found that the errors in RMSE, MAE, and MAPE criteria via AGBO-Pro are all about 2 times lower with a much faster and more stable convergence of the loss function. By further taking a linear transformation of the loss function, the AGBO-Pro model achieves a more robust performance with a much lower variance in repeat numerical calculations. …”
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Research on MRI Gradient Coil Magnetic Field Induced Eddy Current Method by Xiaotao ZHANG, Yicheng LI, Zhanping ZHENG, Mingke WANG, Like FENG, Congbo LI

“…Since the passive magnetic field Bz satisfies the Laplace,s equation and is a harmonic function, and according to the extreme value principle of harmonic function, the maximum or minimum values of Bz can only appear on the boundaries, so the observation points of the magnetic field are generally selected on the surface of the spherical imaging area. …”
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Adaptive gradient scaling: integrating Adam and landscape modification for protein structure prediction by Vitalii Kapitan, Michael Choi

“…LM dynamically adjusts gradients using a threshold parameter and a transformation function, thereby improving the optimizer’s ability to avoid local minima, more efficiently traverse flat or rough landscape regions, and potentially converge faster to global or high-quality local optima. …”
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Evaluation of Ecological Sensitivity and Its Topographic Gradient Characteristics in Qinling-Bashan Mountains by ZHANG Jing, QIN Gongwei, SU Xuemng, XU Zengrang, CHENG Shengkui

“…[Objective] Qinling-Bashan mountains are not only an important ecological function area, but also a concentrated contiguous poverty-stricken area in China. …”
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Algorithm for foggy image enhancement based on the total variational Retinex and gradient domain by Bing-quan CHEN, Hong-li LIU

“…Considering the preservation of color constancy and the improvement of contrast ratio of foggy image en-hancement, the foggy image enhancement algorithm based on the total variational Retinex gradient domain method was proposed. Firstly, the algorithm used the GS（Gauss-Seidel）iterative method to resolve the Retinex variational energy functional so that the color constancy was remained and the operational velocity of the proposed algorithm was improved. …”
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A New Conjugate Gradient for Efficient Unconstrained Optimization with Robust Descent Guarantees by Hussein Saleem Ahmed

“… The Conjugate Gradient method is a powerful iterative algorithm aims to find the minimum of a function by iteratively searching along conjugate directions. …”
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Heuristic model free optimal controller design using gradient based PSO by Yousef Alipourri

“…In model free controller, as the system model is not available, the gradient of the cost function cannot be executed. Instead, in this paper, a relation between gradient of the controller with gradient of the system model is derived by inverse lemma. …”
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