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). …”
Get full text

Integrated widely targeted metabolomics and flavoromics reveal processing-driven dynamic changes in functional metabolites of Eucommia ulmoides leaf tea by Yiyun Lin, Hui Ouyang, Ruobing Li, Yunzhe Shao, Xiangrong Tian, Yongkang Zhang

Get full text

General semi-implicit midpoint approximation for fixed point of almost contraction mapping and applications by Doaa Filali, Mohammad Akram, M. Dilshad, Ahmed A. Khidir

“…Also, we prove the stability of the suggested iterative scheme. Finally, suggested method and our main results are applied to examine a general variational inequality and a nonlinear integral equation.…”
Get full text

Minimisation of variations in locating an acupuncture point using a laser-device by Dha-Hyun Choi, Younbyoung Chae

Get full text

Evolving trends and driving factors analysis of green development level in Chengdu plain economic zone by Li Ma, Tianzhi Huang, Hao Chen, Jiankang Mao, Jiankang Mao, Zhongqi Cheng, Yingwei Wang

Get full text

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. …”
Get full text

The Solution of the Stationary Aeroelasticity Problem for a Separation Channel with Deformable Sinusoidal Walls by Demianenko M., Volf M., Pavlenko V., Liaposhchenko O., Pavlenko I.

Get full text

Embedding delay‐based physical unclonable functions in networks‐on‐chip by Prasad Nagabhushanamgari, Vikash Sehwag, Indrajit Chakrabarti, Santanu Chattopadhyay

Get full text

Frozen semen quality of Pasundan bulls with different individual variations by Abdullah Baharun, Pirda Parida Permadani Pertiwi, Annisa Rahmi, Natashya Chandra Rachmadanti, Ristika Handarini, Hikmayani Iskandar, Daud Samsudewa, Tulus Maulana, Syahruddin Said, Imam Darussalam, Nurcholis Nurcholis, Raden Iis Arifiantini

“…The quality of frozen semen is essential for the success of artificial insemination (AI), as individual variations in parameters such as sperm motility, viability, and membrane integrity greatly influence reproductive outcomes. …”
Get full text

Temporal and spatial variations in the effect-based ecotoxicological assessment of streams by Delia Hof, Thomas Bing, Sebastian Heß, Jens Mayer, Jörg Oehlmann, Matthias Oetken

“…Abstract Background Water bodies are affected by chemical contamination, including micropollutants, which is not fully captured by conventional chemical monitoring methods. The inclusion of integrative, effect-based in vivo and in vitro methods in standardized assessment procedures offers the possibility of bridging discrepancies between chemical and biological assessments and has already been proposed in several studies. …”
Get full text

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

Get full text

Single Underwater Image Restoration Using Variational Framework Guided by Imaging Model With Noise by Chenggang Dai, Mingxing Lin

“…To address these corruptions, a novel method is proposed to reconstruct high-quality underwater images, which is designed by integrating imaging model with noise and variational framework. …”
Get full text

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. …”
Get full text

Harnessing dual variational autoencoders to decode microbe roles in diseases for traditional medicine discovery by Qing Ye, Yaxin Sun, Yaxin Sun, Yaxin Sun

“…This method innovatively integrates double variational autoencoders and multi-information fusion techniques. …”
Get full text

Daily Runoff Prediction Model Based on Multivariate Variational Mode Decomposition and Correlation Reconstruction by DING Jie, TU Peng-fei, FENG Yu, ZENG Huai-en

“…The original data included daily runoff from January 2005 to December 2012. [Methods] This study first employed Multivariate Variational Mode Decomposition(MVMD) to decompose the original daily runoff data from the two stations, reducing data complexity. …”
Get full text

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. …”
Get full text

DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

Get full text

Feasibility of implementing family-integrated newborn care for hospitalised preterm and low birthweight infants in newborn care units of Ethiopia: a mixed-methods design by Hege Langli Ersdal, Araya Abrha Medhanyie, Damen Haile Mariam, Siren Rettedal, Znabu Hadush Kahsay

“…Objective To evaluate the feasibility of implementing family-integrated newborn care (FINC) for hospitalised preterm and low birthweight infants in Ethiopia. …”
Get full text

A frequency domain-based loop shaping procedure for the parameter estimation of the fractional-order tilt integral derivative controller by Biresh Kumar Dakua, Bibhuti Bhusan Pati

“…This paper demonstrates a frequency domain-based loop shaping method for the parameter estimation of a fractional order tilt integral derivative (FOTID) controller for the interval integer and fractional order time-delay systems. …”
Get full text

An innovative coverage optimization method for smart information monitoring in agricultural IoT using the multi-strategy Pelican optimization algorithm by Wei Chen, Qike Cao, Bingyu Cao, Bo Jin

Get full text