Slope deformation prediction based on GA–BP neural networks by Wenhui TAN, Kai LI, Huimin LIU, Meifeng CAI, Qifeng GUO

“…Therefore, the GA–BP model significantly enhances the accuracy, convergence speed, and generalization ability of slope deformation predictions, offering a more reliable tool for ensuring safe production in open-pit mines.…”
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Low-Cost Microfluidic Mixers: Are They up to the Task? by Jade Forrester, Callum G. Davidson, May Blair, Lynn Donlon, Daragh M. McLoughlin, Chukwuebuka R. Obiora, Heather Stockdale, Ben Thomas, Martina Nutman, Sarah Brockbank, Zahra Rattray, Yvonne Perrie

“…Despite these differences, pipette mixing production of LNPs demonstrated its application as a high-throughput screening tool for LNPs, effectively distinguishing between different formulations and predicting consistent expression patterns both in vitro and in vivo. …”
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Effectiveness of various irrigant activation techniques on the penetration of sodium hypochlorite into lateral canals of mature permanent teeth: A systematic review and meta-analys... by Ram Surath Kumar, Anil V. Ankola, Roopali M. Sankeshwari, Mamata Hebbal, Vinuta Hampiholi, Lokesh Kumar S, Apurva Prashant Deshpande, Abhra Roy Choudhury, Atrey J. Pai Khot

“…On the basis of the previous literature and parameters, the risk of bias of the selected studies was evaluated with the help of a customized tool. …”
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Estimating Spatiotemporal Dynamics of Carbon Storage in <i>Roinia pseudoacacia</i> Plantations in the Caijiachuan Watershed Using Sample Plots and Uncrewed Aerial Vehicle-Borne Las... by Yawei Hu, Ruoxiu Sun, Miaomiao He, Jiongchang Zhao, Yang Li, Shengze Huang, Jianjun Zhang

“…Recently, uncrewed aerial vehicle-borne laser scanning (ULS) technology has emerged as a promising tool for rapidly acquiring three-dimensional spatial information on AGB and vegetation carbon storage. …”
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Sideritis perfoliata Ethanolic Extract Mitigates Acetic Acid-Induced Ulcerative Colitis in Rats by Dilek Özbeyli, Ali Şen, Naziye Özkan Yena, Ayşe Nur Hazar Yavuz, Deniz Mukaddes Türet, Meral Yüksel, Leyla Bitiş, Ahmet Doğan, Aslı Aykaç

“…Compared with the AA group, SS or SP extract treatments reduced tumour necrosis factor-α, interleukin-1β, interleukin-17, tool-like receptor-9, matrix metalloproteinases-3, caspase-9, caspase-3, luminol, and lucigenin chemiluminescence levels, macroscopic and microscopic morphological scores in colon. …”
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Estimating Chlorophyll-<i>a</i> and Phycocyanin Concentrations in Inland Temperate Lakes across New York State Using Sentinel-2 Images: Application of Google Earth Engine for Effic... by Sara Akbarnejad Nesheli, Lindi J. Quackenbush, Lewis McCaffrey

“…Future work will focus on exploring alternative algorithms that can incorporate diverse data sources and lake characteristics, contributing to a deeper understanding of the relationship between remote sensing data and water quality parameters. This research provides a valuable tool for cyanobacteria parameter estimation with confidence quantification to identify lakes at risk of algal blooms.…”
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AI-powered machine learning models for monitoring and optimization of biodrying process by Abhisit Bhatsada, Panida Payomthip, Tanik Itsarathorn, Ye Nyi Nyi Lwin, Eka Wahyanti, Sirintornthep Towprayoon, Suthum Patumsawad, Chart Chiemchaisri, Komsilp Wangyao

“…These findings establish LSTM as a reliable AI-driven tool for optimizing biodrying, with significant implications for sustainable waste management and RDF production.…”
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Interpretable Machine Learning for Multi-Energy Supply Station Revenue Forecasting: A SHAP-Driven Framework to Accelerate Urban Carbon Neutrality by Zhihui Zhao, Minjuan Wang, Jin Wei, Xiao Cen, Shengnan Du, Ziwen Wu, Huanying Liu, Weiqiang Wang

“…The proposed framework offers policymakers and industry stakeholders a scalable tool to accelerate urban energy transitions under carbon neutrality goals, bridging the gap between predictive analytics and sustainable infrastructure planning.…”
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Investigation of the multi-pass drawing process for steel thin-walled ribbed tube using Taguchi-grey relational analysis optimisation by Xi Wang, Haojie Zhang, Wei Li, Chaoyang Sun

“…By utilising this method, optimal parameter sets for billet size and drawing tool geometries in the drawing passes are determined to fabricate ribbed tube with required ultimate section with acceptable divergences in the key cross-sectional geometries. …”
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Application of artificial neural networks to the recognition of musical sounds by B. KOSTEK, R. KRÓLIKOWSKI

“…As problems related to analysis of sounds are related to human subjective perception abilities, then it seems that such tools of analyses as neural nets should be used for recognition processes. …”
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Managing false positives during detection of pathogen sequences in shotgun metagenomics datasets by Lauren M. Bradford, Catherine Carrillo, Alex Wong

“…Carefully considering software parameters and database choices is essential to avoiding false positive sample calls. …”
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Motor-Based Interventions in Children with Developmental Coordination Disorder: A Systematic Review and Meta-analysis of Randomised Controlled Trials by Jiaxin Gao, Yihan Yang, Xiaqing Xu, Dunbing Huang, Yangxin Wu, Hongfei Ren, Anren Zhang, Xiaohua Ke, Wei Song

“…We assessed the risk of bias for each study and the overall risk of bias using Cochrane's ‘risk of bias’ tool. Quantitative syntheses (meta-analyses) were conducted with effect sizes expressed as Hedges' g. …”
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Age-related changes in upper limb motion during typical development. by Cristina Simon-Martinez, Gabriela Lopes Dos Santos, Ellen Jaspers, Ruth Vanderschueren, Lisa Mailleux, Katrijn Klingels, Els Ortibus, Kaat Desloovere, Hilde Feys

“…Three-dimensional motion analysis (3DMA) offers a reliable tool to comprehensively evaluate UL motion. However, studies thus far mainly focused on specific pre-defined parameters extracted from kinematic waveforms. …”
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Research on Intelligent Planning Method for Turning Machining Process Based on Knowledge Base by Yante Li, Tingting Zhou

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Evaluating the efficacy of fuzzy Bayesian networks for financial risk assessment by Xiong Tingyan, Liu Zeping, Zhang Minghong

“…The demand for advanced predictive tools has surged in the intricate landscape of global financial markets. …”
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Global sensitivity analysis and uncertainty quantification for a mathematical model of dry anaerobic digestion in plug-flow reactors by Daniele Bernardo Panaro, Andrea Trucchia, Vincenzo Luongo, Maria Rosaria Mattei, Luigi Frunzo

“…Sensitivity analysis and uncertainty quantification constitute essential tools in the field of biological systems modeling. …”
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Bilateral lower limb symmetry during sit-to-stand and stand-to-sit tasks in stroke patients with hemiplegia by Meijin Hou, Meijin Hou, Jian He, Dongwei Liu, Chenyi Guo, Ye Ma, Xiaobo Luo

“…Kinematic and kinetic parameters were calculated using OpenSim's inverse kinematics and inverse dynamics tools. …”
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Prediction of Sonic Log Values Using a Gradient Boosting Algorithm in the 'AB' Field by Rasif Nahari, Utama Widya, Ardhya Garini Sherly, Fitri Indriani Rista, Pratama Novian Putra Dhea

“…However, logging tools sometimes fail to capture formation parameters accurately, creating gaps in well log data. …”
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Water status and plant traits of dry bean assessment using integrated spectral reflectance and RGB image indices with artificial intelligence by Mohamed S. Abd El-baki, M. M. Ibrahim, Salah Elsayed, Zaher Mundher Yaseen, Nadia G. Abd El-Fattah

“…Combining the RGBIs and SRIs, the ANNs achieved higher prediction accuracy, with R² values ranging from 0.88 to 0.99 across different parameters. In conclusion, this study demonstrates the effectiveness of using SRIs and RGBIs with ANNs as practical tools for managing the growth and production of dry bean crops under deficit irrigation.…”
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Non-invasive fluorescence sensing reveals changes in intestinal barrier function and gastric emptying rate in a first-in-human study of Crohn’s disease by Jonathan Gan, Qian Chen, Elena Monfort Sanchez, Nilanjan Mandal, Jiacheng Xu, Zixin Wang, Arjun Agarwal, Emmanuel Oluwatunmise, Pratik Ramkumar, Ash Salam, Elena Chekmeneva, María Gómez-Romero, Lynn Maslen, Sharmili Balarajah, Robert Perry, Karl King Yong, Jonathan Hoare, Nick Powell, James Alexander, James Avery, Hutan Ashrafian, Ara Darzi, Alex J. Thompson

“…However, current diagnostic tools used to measure key gut functional parameters are invasive, unreliable or time-consuming. …”
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