Integrating running water monitoring tools with the Micro Biological Survey (MBS) method to improve water quality assessment. by Lorenzo Traversetti, Francesca Losito, Alyexandra Arienzo, Ottavia Stalio, Giovanni Antonini, Massimiliano Scalici

Get full text

Orchard variable-rate spraying method integrating GNSS and wind-excited audio-conducted leaf area density by Hangxing Zhao, Hangxing Zhao, Hangxing Zhao, Shenghui Yang, Shenghui Yang, Shenghui Yang, Wenwei Li, Wenwei Li, Han Feng, Han Feng, Shijie Jiang, Shijie Jiang, Weihong Liu, Weihong Liu, Jingbin Li, Yongjun Zheng, Yongjun Zheng, Songchao Zhang

“…As a result, few fully functional variable-rate spraying systems have been developed based on this parameter.MethodsThis study presents a variable-rate spraying method that integrates global navigation satellite system (GNSS) positioning with wind-excited audio-conducted estimation of canopy leaf area density. …”
Get full text

Innovative teaching methods in physical fitness education: integrating technology and gamification to improve student engagement-a systematic review by Djajati Mariana Lolowang, Fadli Ihsan, Nolfie Piri, Eduard Emor Kumenap, Fredrik Alfrets Makadada

“…Objective: This study systematically reviews empirical research on how technology and gamification contribute to student engagement in physical fitness education. Methods: A systematic review method was employed to analyze studies published in the last 15 years, retrieved from academic databases including Google Scholar, PubMed, and Scopus. …”
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

Interpretable deep learning method to quantify the impact of extreme temperatures on vegetation productivity in China by Dewei Xie, Zhaopei Zheng, Xin Ding, Lihong Wei, Yu Lan

“…This study innovatively employs deep neural networks (DNN) integrated with SHAP method, integrating nationwide daily meteorological data (2001–2020) and MODIS annual NPP products, to establish the first quantitative causal linkages between extreme temperature events and NPP dynamics across China. …”
Get full text

DESIGN OF EVACUATION EXITS IN ELLIPTICAL CORRIDOR TYPE BUILDINGS. CALCULATION ALGORITHM FOR WIDE CORRIDORS by Valery G. Shamonin, Alexey V. Golkin, Stanislav A. Zuev, Svetlana Yu. Khatuntseva, Petr A. Leonchuk

Subjects: Get full text

Improving genomic prediction accuracy for methane emission and feed efficiency in sheep: integrating rumen microbial PCA with host genomic variation using neural network GBLUP (NN-... by Setegn Worku Alemu, Timothy P. Bilton, Patricia L. Johnson, Benjamin J. Perry, Hannah Henry, Ken G. Dodds, John C. McEwan, Suzanne J. Rowe

“…For the second objective, the NN-GBLUP model incorporating PCA-reduced RMC data improved prediction accuracy compared to standard GBLUP methods. Prediction accuracy for methane emissions increased from 0.09 to 0.30 in train-test validation and from 0.15 to 0.27 in five-fold cross-validation using PCA components explaining 25% of total RMC variation. …”
Get full text

Enhancing multi-temporal drought forecasting accuracy for Iran: Integrating an innovative hidden pattern identifier, recursive feature elimination, and explainable ensemble learnin... by Mahnoosh Moghaddasi, Mansour Moradi, Mehdi Mohammadi Ghaleni, Mehdi Jamei

“…Additionally, the effectiveness of the suggested model (HPFE-ETR) was assessed and contrasted with two common methods, Time-Varying Filter-based Empirical Mode Decomposition (TVF-EMD) and Variational Mode Decomposition (VMD), both of which were combined with ETR. …”
Get full text

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. …”
Get full text

Axial load induced vibrational changes in nonlocal stress-driven beams by Indronil Devnath, Mohammad Nazmul Islam

Get full text

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

Get full text

Integrating a Numerical Taxonomic Method and Molecular Phylogeny for Species Delimitation of Melampsora Species (Melampsoraceae, Pucciniales) on Willows in China. by Peng Zhao, Qing-Hong Wang, Cheng-Ming Tian, Makoto Kakishima

Get full text

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>. …”
Get full text

Chemical Characteristics of Stack Particulate Matter Emitted from Sintering Process of an Integrated Steel Mill and Resolution of Source Contributors on Boundary PM2.5 by Cheng-Tsung Shao, Yu-Lun Tseng, Chung-Shin Yuan, Wen-Hsi Cheng, Nian-Jie Li, Jia-Yi Zhao

“…Abstract Background This study investigated the chemical characteristics of PM2.5 emitted from the sintering process of an integrated steel mill and assesses the contribution of emission sources to boundary PM2.5. …”
Get full text

Numerical Solutions to the Variational Problems by Dijkstra’s Path-Finding Algorithm by Thanaporn Arunthong, Laddawan Rianthakool, Khanchai Prasanai, Chakrit Na Takuathung, Sakchai Chomkokard, Wiwat Wongkokua, Noparit Jinuntuya

“…In this work, we propose the general idea of using a path-finding algorithm to solve a variational problem. By interpreting a variational problem of finding the function that minimizes a functional integral as a shortest path finding, we can apply the shortest path-finding algorithm to numerically estimate the optimal function. …”
Get full text

Variational Approaches for Drug-Disease-Gene Links in Periodontal Inflammation by Pradeep Kumar Yadalam, Prabhu Manickam Natarajan, Musab Hamed Saeed, Carlos M. Ardila

“…Advances in generative AI techniques, such as variational autoencoders (VAEs) and quantum variational classifiers (QVCs), offer promising tools for predicting gene associations between drugs and diseases. …”
Get full text

Stable Approximations of a Minimal Surface Problem with Variational Inequalities by M. Zuhair Nashed, Otmar Scherzer

“…We establish convergence and stability of approximate regularized solutions which are solutions of a family of variational inequalities. We also prove convergence of an iterative method based on Uzawa's algorithm for implementation of our regularization procedure.…”
Get full text

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

Get full text

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

Get full text

Low-carbon optimization scheduling of IES based on enhanced diffusion model for scenario deep generation by Danhao Wang, Daogang Peng, Dongmei Huang, Huirong Zhao, Bogang Qu

“…With the widespread integration of renewable energy sources into IES (Integrated Energy Systems), the uncertainties in renewable energy outputs and the volatility of user loads present new challenges for energy scheduling optimization. …”
Get full text