Posture Control of Hydraulic Flexible Second-Order Manipulators Based on Adaptive Integral Terminal Variable-Structure Predictive Method by Jianliang Xu, Zhen Sui, Feng Xu

“…Simulation experiments comparing the DITSMPC scheme with the classical discrete-time SMC method demonstrate that the proposed scheme results in smooth torque changes in each joint of the manipulator, with the integral of torque variations being <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>5.22</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mn>3</mn></msup></mrow></semantics></math></inline-formula>. …”
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Integrated omics profiling of individual variations in intestinal damage to the soybean allergen in piglets by Mengmeng Mi, Yaqing Zheng, Xin Fu, Nan Bao, Li Pan, Guixin Qin, Yuan Zhao

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Semi-supervised contrastive learning variational autoencoder Integrating single-cell multimodal mosaic datasets by Zihao Wang, Zeyu Wu, Minghua Deng

“…To address these challenges, we proposes a flexible integration framework based on Variational Autoencoder called scGCM. …”
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A Hybrid Model Integrating Variational Mode Decomposition and Intelligent Optimization for Vegetable Price Prediction by Gao Wang, Shuang Xu, Zixu Chen, Youzhu Li

“…This study proposes a hybrid forecasting model integrating variational mode decomposition (VMD), the Fruit Fly Optimization Algorithm (FOA), and a gated recurrent unit (GRU). …”
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Characteristics of spatial detection capability for seismic response and data compensation method in underground mines by Changbin WANG, Anye CAO, Guangyao SI, Bing WANG, Xu YANG, Ning ZHANG, Yang YUE

“…Therefore, this study introduces the Probability-based Magnitude of Completeness (PMC) method in an underground coal mine. PMC method assesses the seismic wave picking capabilities of geophones, explores the spatial characteristics of seismic event detection probability within the seismic network, and proposes a detection probability-based seismic compensation method. …”
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Spatial Variation of Hypsometric Analysis in Nerwa Watershed by Hozan Sadiq Mawlood

“…This study aims to highlight the spatial variation of the values of the hypometric curve and hypsometry integral in the Nirwa basin and its sub-watersheds, and to detect the correlation and the influence degree between the values and the factors influencing them, The importance of the study lies in the fact that it discusses the results of applying mathematical equations to account the values of the hypsometric analysis that indicate the percentage of remaining land masses and the general topographical characteristics of the basin and their exposure to erosion factors, indicating the results in percentage and supported by a graph. …”
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Floristic patterns in the Andes of northern Patagonia’s forests, Argentina: towards integrating ecological responses with expert-based and unsupervised classification methods by Natalia Zoe Joelson, Alois Simon, Friedemann von Lampe, Gabriel Ángel Loguercio, Stefan Zerbe, Christoph Leuschner, Helge Walentowski

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Frontal sinus variation in extant species of the genera Pan, Gorilla and Homo by Antoine Balzeau, Lou Albessard-Ball, Anna Maria Kubicka, Camille Noûs, Laura T. Buck

“…A simple and repeatable method is described here to quantify variation in the shape, size and bilateral variation of the frontal sinuses. …”
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Design and simulation of a graphene-integrated SPR biosensor for malaria detection by Talia Tene, Fabian Arias Arias, Karina I. Paredes-Páliz, Juan Carlos González García, Nataly Bonilla García, Cristian Vacacela Gomez

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Spatiotemporal Variation Characteristics and Influencing Factors of Water Quality in the Anhui Section of Yangtze River by FENG Jia-cheng, CAO Xue-kang, TAO Li, HUA Fei, WU Kang

“…[Methods] Based on daily water quality data from 29 national assessment sections in the Anhui section of the Yangtze River from 2021 to 2023, this study adopted the comprehensive water quality index method to evaluate water quality, and integrated principal component analysis, correlation analysis, and other methods to explore the spatiotemporal variation and influencing factors of water quality. …”
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LLM-DSK: A Domain-Specific Semantic Knowledge-Guided Ocean Environment Prediction Method Based on Large Language Models by Ning Song, Caichao Lv, Jie Nie, Min Ye, Enyuan Zhao, Jun Ma, Xiong Liu, Zhiqiang Wei

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Generalising the Machine Tool Integrated Inverse Multilateration Method for the Ambient Thermal Error Analysis of Large Machine Tools in Industrial Environments by Fernando Egaña, Unai Mutilba, José A. Yagüe-Fabra, B. Ahmed Chekh, Susana Lopez

“…This method integrates an absolute distance measurement device into the machine tool spindle, enabling an automated and robust multilateration scheme without requiring controlled environments, expensive thermal instruments, or specialised artifacts. …”
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A Rice-Mapping Method with Integrated Automatic Generation of Training Samples and Random Forest Classification Using Google Earth Engine by Yuqing Fan, Debao Yuan, Liuya Zhang, Maochen Zhao, Renxu Yang

“…Therefore, this study proposes a rice mapping method (LR) using Google Earth Engine (GEE), which uses Landsat images and integrates automatic generation of training samples and a machine learning algorithm, with the assistance of phenological methods. …”
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Innovative Solutions to the Fractional Diffusion Equation Using the Elzaki Transform by Saima Noor, Albandari W. Alrowaily, Mohammad Alqudah, Rasool Shah, Samir A. El-Tantawy

“…Thus, by utilizing the mighty powers of fractional calculus, we employ the variational iteration method (VIM) with the Elzaki transform to produce highly accurate approximations for these specific differential equations. …”
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Axial load induced vibrational changes in nonlocal stress-driven beams by Indronil Devnath, Mohammad Nazmul Islam

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An Ultra-Short-Term Wind Power Prediction Method Based on the Fusion of Multiple Technical Indicators and the XGBoost Algorithm by Xuehui Wang, Yongsheng Wang, Yongsheng Qi, Jiajing Gao, Fan Yang, Jiaxuan Lu

“…Inspired by financial time series analysis, the model incorporates K-line representations, power fluctuation features, and classical technical indicators, including the moving average convergence divergence (MACD), Bollinger bands (BOLL), and average true range (ATR), to enhance sensitivity to short-term variations. The proposed method is validated on two real-world wind power datasets from Inner Mongolia, China, and Germany, sourced from the European network of transmission system operators for electricity (ENTSO-E). …”
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Evaluation of a robust PID dead-time compensation controller based on the evolutionary computation method by Arun Ramaveerapathiran, R. Muniraj, T. Jarin, S.R. Boselin Prabhu, M. Willjuice Iruthayarajan

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Building and Visualising Ordinations of Shape Data in R With Morphospace by Pablo S. Milla Carmona, Oscar E. R. Lehmann, William J. Deakin, Eduardo M. Soto, Ignacio M. Soto

“…ABSTRACT Ordination is a critical step of geometric morphometrics that allows simplification of high‐dimensional shape spaces into low‐dimensional representations summarising shape variation. While this is routinely used to visualise the main patterns of morphometric data, the lack of a unified approach curbs researchers' ability to make the most of available ordination and visualisation methods. …”
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EQUILIBRIUM PLANAR CRACK WITH CONTOUR ANGULAR POINTS IN ELASTIC LAYER by Boris V. Sobol, Elena V. Rashidova, Ekaterina V. Borisova, Olga P. Reshetnikova

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Internal control system of accounts receivable: directions of perfection by Payanok T.M.

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