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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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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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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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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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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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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A Double-Inertial Two-Subgradient Extragradient Algorithm for Solving Variational Inequalities with Minimum-Norm Solutions by Ioannis K. Argyros, Fouzia Amir, Habib ur Rehman, Christopher Argyros

“…In this paper, we propose a novel iterative algorithm for solving VIPs in real Hilbert spaces. The method integrates a double-inertial mechanism with the two-subgradient extragradient scheme, leading to improved convergence speed and computational efficiency. …”
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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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Anomaly Detection and Root Cause Analysis for Energy Consumption of Medium and Heavy Plate: A Novel Method Based on Bayesian Neural Network with Adam Variational Inference by Qiang Guo, Fenghe Li, Hengwen Liu, Jin Guo

“…Experimental results validate the effectiveness of the proposed methods.…”
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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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Designing for Engagement: A Mixed-Methods Study of AR and Concept Mapping Method in Mobile Vocabulary Learning by Shuo-Fang Liu, An Yu Su, Yi Chieh Wu, Sheng-Fei Chien

“…This study investigates the effectiveness of integrating augmented reality (AR) and concept mapping method in English vocabulary learning and proposes a design thinking-based development framework for learning systems. …”
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A Multi-Frequency Iterative Method for Reconstruction of Rough Surfaces Separating Two Penetrable Media by Ahmet Sefer, Ali Yapar, Hakan Bagci

“…This linear system is regularized using the Tikhonov method. The multi-frequency data is accounted for in a recursive manner. …”
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Internal control system of accounts receivable: directions of perfection by Payanok T.M.

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Slope stability analysis by integration of seismic refraction method and geotechnical soil testing: Case study of landslide in Bulobulo Village, Barru Regency, Indonesia by Dwi Nurfajriana Sam, Muhammad Altin Massinai, Andi Muhamad Pramatadie

“…The factor of safety (FoS) calculated using the limit equilibrium technique established some slopes as being in a critical state and, hence, at risk of landslides. Such integration of methods allows one to make data-driven proposals for landslide prevention and provides a comprehensive comprehension of slope performance.…”
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Benefits of the Global Integration Method (Método de Integração Global - MIG) in functional priorities of parents of Brazilian children and adolescents with autism spectrum disorde... by Amanda Aparecida Alves Cunha Nascimento, Deisiane Oliveira Souto, Thalita Karla Flores Cruz, Arthur Felipe Barroso de Lima, Gabriela Silva Oliveira, Vitor Geraldi Haase

“…Additionally, this study aimed to evaluate changes in parents’ performance and satisfaction with functional priorities after intervention with the Global Integration Method (Métodode Integração Global - MIG). …”
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Investigation of Residual Stress Variation in Sequential Butt Welding and Pocket Material Removal Machining Processes Utilizing Pre-Stress Method: A 3D Simulation Approach by Isik Cetintav, Yilmaz Can, Nihat Akkus

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Free vibration of beams using stochastic finite element method considering three-dimensional randomness of material properties by Diem Dang Nguyen, Hien Duy Ta

“…The random material fields are discretized into random variables using the weighted integral method combined with the perturbation technique to obtain a first-order approximation of the eigenvalues of free vibration. …”
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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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