Molecular Profiling and Precise Diagnosis of Pratylenchus penetrans Infestation in Soil: A qPCR-Based Molecular Approach by Karthi Natesan, Byeong-yong Park, Hyoung-Rai Ko, Eunhwa Kim, Sohee Park, Sekeun Park

“…Reliability of PCR was confirmed using BLAST algorithm, which identified partial sequence of PCR amplicon (300 bp) as P. penetrants. …”
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Current understanding of abdominal bulge with a novel classification: A retrospective study by Heng Sung, Binbin He, Zhicheng Song, Dongchao Yang, Jugang Wu, Jianjun Yang, Yan Gu

“…Retrospectively based on our experience, the incidence and outcomes of abdominal bulges are analyzed and a classification and algorithm of management is provided. Methods: A retrospective review was conducted on 46 patients diagnosed with abdominal bulge between 2014 and 2023. …”
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Analysis of the Strength Development, CO₂ Emissions, and Optimized Low-Carbon Design of Fly-Ash-Enhanced Composite Concrete by Bo Yang, Yu Dong, Xiao-Yong Wang

“…Fly ash is commonly used as a partial replacement for cement. Although extensive research has been conducted on mixed design schemes for fly ash concrete, these studies commonly overlook carbonation durability, which may lead to an insufficient service life. …”
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Point-to-Interval Prediction Method for Key Soil Property Contents Utilizing Multi-Source Spectral Data by Shuyan Liu, Dongyan Huang, Lili Fu, Shengxian Wu, Yanlei Xu, Yibing Chen, Qinglai Zhao

“…Among these strategies, the outer-product analysis fusion algorithm proved particularly effective in improving prediction accuracy. …”
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Numerical simulation of magnetically driven nanomaterial rotating flow configured by convective-radiative cone with chemical reaction by Cyrus Raza Mirza, Muhammad Salman Kausar, Muhammad Nasir, M. Waqas, Nurnadiah Zamri, Iskandar Shernazarov, S.U. Khan, Nidhal Ben Khedher

“…Relevant variables are introduced to transfigure partial differential mathematical expressions to mathematical ordinary ones. …”
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Characteristics, Incidence, and Management of Immune Checkpoint Inhibitors Related Cardiovascular Adverse Events in Real-World Practice-A Retrospective Study in Chinese Han Populat... by Wang RH, Chen Y, Lou YL, Lu YL, Xu HM

“…Adherence to the American Society of Clinical Oncology (ASCO) guidelines for managing CVAEs was low (44%), with most cases showing partial resolution by the last follow-up.Conclusion: We reported that the incidence of ICI-related CVAEs in the Chinese institution was higher than that in some prior studies. …”
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A simple pedotransfer function to estimate fine fraction organic carbon contents of surface horizons in French soils by Eva Rabot, Pierre Barré, Claire Chenu, Amicie A. Delahaie, Manuel P. Martin, José-Luis Munera-Echeverri, Nicolas P.A. Saby

“…We used the Random Forest algorithm and partial dependence plots in an exploratory data analysis, to analyze the variables influencing OCfine contents and to study the shape of their relationship with OCfine. …”
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Capacity Estimation of Lithium-Ion Battery Systems in Fuel Cell Ships Based on Deep Learning Model by Xiangguo Yang, Jia Tang, Qijia Song, Yifan Liu, Lin Liu, Xingwei Zhou, Yuelin Chen, Telu Tang

“…A TCN-BiGRU model is then developed, with hyperparameters determined by the Kepler optimization algorithm (KOA). Cells from a battery pack under consistent conditions are used for training, while other cells in the same pack serve as the test set. …”
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Enhancing proximal and remote sensing of soil organic carbon: A local modelling approach guided by spectral and spatial similarities by Qi Sun, Pu Shi

“…As a result, the optimal modelling strategy, with partial least squares regression (PLSR) as the local fitting algorithm, consistently produced superior performances (R2: 0.66 to 0.82) than the conventional global modelling approach (R2: 0.59 to 0.77) for all three data types. …”
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Integration of multi-temporal SAR data and robust machine learning models for improvement of flood susceptibility assessment in the southwest coast of India by Pankaj Prasad, Sourav Mandal, Sahil Sandeep Naik, Victor Joseph Loveson, Simanku Borah, Priyankar Chandra, Karthik Sudheer

“…These flood locations are correlated with sixteen flood conditioning geo-environmental variables. The Boruta algorithm has been applied to determine the importance of each flood conditioning parameter. …”
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An Optimized Multi-Stage Framework for Soil Organic Carbon Estimation in Citrus Orchards Based on FTIR Spectroscopy and Hybrid Machine Learning Integration by Yingying Wei, Xiaoxiang Mo, Shengxin Yu, Saisai Wu, He Chen, Yuanyuan Qin, Zhikang Zeng

“…The proposed framework includes (1) FTIR spectral acquisition; (2) a comparative evaluation of nine spectral preprocessing techniques; (3) dimensionality reduction via three representative feature selection algorithms, namely the Successive Projections Algorithm (SPA), Competitive Adaptive Reweighted Sampling (CARS), and Principal Component Analysis (PCA); (4) regression modeling using six machine learning algorithms, namely the Random Forest (RF), Support Vector Regression (SVR), Gray Wolf Optimized SVR (SVR-GWO), Partial Least Squares Regression (PLSR), Principal Component Regression (PCR), and the Back-propagation Neural Network (BPNN); and (5) comprehensive performance assessments and the identification of the optimal modeling pathway. …”
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Harnessing Artificial Intelligence and Innovative Vaccines for Mpox Diagnosis and Control: A Comprehensive Narrative Review by Excel Onajite Ernest-Okonofua, Zainab Abdullahi Zubairu, Malik Olatunde Oduoye, Maryam Tariq, Syed Muhammad, Zainab Siddiqua, Monica Vuyyuru, Benjamin Wafula, Riaz Akhtar, Abdulbasit Fasasi, Samuel Chinonso Ubechu, Bakare Sikiru Olayinka

“…Future directions should be focused on healthcare professionals to establish the validity and reliability of the models, a measure of the algorithm’s robustness, and the continuous auditing of AI systems.…”
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Rapid discrimination and quantification of chemotypes in Perillae folium using FT-NIR spectroscopy and GC–MS combined with chemometrics by Dai-xin Yu, Cheng Qu, Jia-yi Xu, Jia-yu Lu, Di-di Wu, Qi-nan Wu

“…Based on FT-NIR data, different chemotypes were accurately classified. The random forest algorithm achieved >90 % accuracy in chemotype classification. …”
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Comparative Quantitative and Discriminant Analysis of Wheat Flour with Different Levels of Chemical Azodicarbonamide Using NIR Spectroscopy and Hyperspectral Imaging by Hongju He, Yuling Wang, Shengqi Jiang, Jie Zhang, Jicai Bi, Hong Qiao, Leiqing Pan, Xingqi Ou

“…The raw spectra were preprocessed using 14 methods and then mined by the partial least squares (PLS) algorithm to fit ADA levels using different numbers of WF samples for training and validation in five datasets (N_Training/_Validation = 189/21, 168/42, 147/63, 126/84, 105/105), yielding better abilities of NIR Savitzky–Golay 1st derivative (SG1D) spectra-based PLS models and raw HSI spectra-based PLS models in quantifying ADA with higher determination coefficients and lower root-mean-square errors in validation (R²_V & RMSEV), as well as establishing 100% accuracy in PLS discriminant analysis (PLS-DA) models for identifying excessive ADA-contained WF in each dataset. …”
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A Novel Synchronization-Based Approach for Functional Connectivity Analysis by Angela Lombardi, Sabina Tangaro, Roberto Bellotti, Alessandro Bertolino, Giuseppe Blasi, Giulio Pergola, Paolo Taurisano, Cataldo Guaragnella

“…Popular approaches for quantifying functional coupling between fMRI time series are linear zero-lag correlation methods; however, they might reveal only partial aspects of the functional links between brain areas. …”
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Enhancing Laser-Induced Breakdown Spectroscopy Quantification Through Minimum Redundancy and Maximum Relevance-Based Feature Selection by Manping Wang, Yang Lu, Man Liu, Fuhui Cui, Rongke Gao, Feifei Wang, Xiaozhe Chen, Liandong Yu

“…This study validates the effectiveness of the mRMR algorithm for LIBS feature extraction and highlights the potential of feature selection techniques to enhance predictive accuracy. …”
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A deep learning approach for SMAP soil moisture downscaling informed by thermal inertia theory by Mengyuan Xu, Haoxuan Yang, Annan Hu, Lee Heng, Linyi Li, Ning Yao, Gang Liu

“…In this study, we attempt to use an SM downscaling approach that integrates thermal inertia (TI) theory with the DenseNet deep network algorithm. This approach provides partial interpretability of the physical mechanisms while utilizing DenseNet’s superior nonlinear learning ability and feature reuse capability for downscaling the Soil Moisture Active Passive (SMAP) satellite product, generating daily 1 km × 1 km SM. …”
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Research on the Inversion Method of Dust Content on Mining Area Plant Canopies Based on UAV-Borne VNIR Hyperspectral Data by Yibo Zhao, Shaogang Lei, Xiaotong Han, Yufan Xu, Jianzhu Li, Yating Duan, Shengya Sun

“…Various regression models, including extreme learning machine (ELM), random forest (RF), partial least squares regression (PLSR), and support vector machine (SVM), were utilized to establish dust inversion models. …”
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Management and edaphoclimatic factors that determine soybean top-performing farmers in Brazil by Victor Delino Barasuol Scarton, Ivan Ricardo Carvalho, Christiane de Fátima Colet, Leonardo Cesar Pradebon, Willyan Júnior Adorian Bandeira, Jaqueline Piesanti Sangiovo, Murilo Vieira Loro, José Antonio Gonzalez da Silva

“…Grain yield was analyzed using centered means with partial least squares, followed by linear regression models and t-tests (p < 0.05). …”
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A Gradient Boosting Crash Prediction Approach for Highway-Rail Grade Crossing Crash Analysis by Pan Lu, Zijian Zheng, Yihao Ren, Xiaoyi Zhou, Amin Keramati, Denver Tolliver, Ying Huang

“…Moreover, contributors’ importance and partial-dependent relations are generated to further understand the relationship of identified contributors and HRGC crash likelihood to concur “black box” issues that most machine learning methods face. …”
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