Relationship between Fractal Dimension of Fragmentation Degree and Energy Dissipation of Rock-Like Materials under Initial Stress by Ying Xu, Jinjin Ge, Hailong Li, Rongzhou Yang, Kun Wang, Shi Hu

“…The impact test results show that (1) the prediction value on the fragmentation degree of cemented sand specimens by using the fractal model is basically consistent with the screening results of actual test, which verifies the applicability of the fractal calculation model given in this study; (2) the more the fracture energy dissipated in the crushing process of cemented sand specimens, the more serious the fragmentation degree is, and accordingly the larger the fractal dimension is, that is, the fracture energy is positively correlated with the fractal dimension; (3) there is an exponential relationship between the fractal dimension and energy dissipation of cemented sand specimens under initial stress, which is so different from that under no initial stress. …”
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Lipoprotein Signal Peptide as Adjuvants: Leveraging Lipobox-Driven TLR2 Activation in Modern Vaccine Design by Muhammad Umar, Haroon Afzal, Asad Murtaza, Li-Ting Cheng

“…Recent advances in bioinformatics have significantly improved the prediction of SP structures and cleavage sites, facilitating the rational design of recombinant lipoproteins optimized for immune activation. …”
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A Modified WASPAS Method for the Evaluation of E-Commerce Websites Based on Pythagorean Fuzzy Information by Xiufang Ou, Bingbin Chen

“…The proposed approach significantly enhanced performance and reduced computational complexity, making it a promising tool for real-time detection and prediction of the efficiency of employees in various organizations and a tool for growth.…”
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Exploration of Use of Copulas in Analysing the Relationship between Precipitation and Meteorological Drought in Beijing, China by Linlin Fan, Hongrui Wang, Cheng Wang, Wenli Lai, Yong Zhao

“…Thus, the results provide a useful reference for future drought prediction.…”
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Application of Digital Image Correlation Technique for the Damage Characteristic of Rock-like Specimens under Uniaxial Compression by Jing Chai, Yongliang Liu, YiBo OuYang, Dingding Zhang, Wengang Du

“…The findings are of great significance to the prediction of the damage process of rock mass engineering by digital image correlation.…”
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The Persistence of Antibiotic Resistance in Observational Studies: Is It Really Due to Differences in Sub-Populations Rather than Antibiotic Use? by Peter Collignon, John J. Beggs

“…<b>Results</b>: In our theoretical model case study, when we exclude an effect of past antibiotic usage, clinical history alone can predict future resistance patterns. Heterogeneity in infection risk and antibiotic resistance carriage rates, along with consequently observed antimicrobial treatment, often suffice to predict a pattern of resistance that mimics what is assumed to be caused by genuine biologically driven resistance by the associated use of antibiotics. …”
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Navigating the Dynamics: Modeling of Wave Propagation at Taiping Bay Port for Enhanced Design and Management by Dachuan He, Xi Zhang, Yakun Liu, Zhi Chen, Xiangjun Nie, Ke Wang

“…The PMS model, validated against measured data, effectively computes the incident boundary conditions for the BW model, which in turn has been refined to enhance wave prediction accuracy and model stability through optimized boundary settings. …”
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A CDFT-Based Computational Peptidology (CDFT-CP) Study of the Chemical Reactivity and Bioactivity of the Marine-Derived Alternaramide Cyclopentadepsipeptide by Norma Flores-Holguín, Juan Frau, Daniel Glossman-Mitnik

“…This has been useful for the accurate prediction of the CDFT reactivity descriptors that help in understanding the chemical reactivity. …”
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Modified MobileNetV2 transfer learning model to detect road potholes by Neha Tanwar, Anil V. Turukmane

“…The MMNV2 model exhibits improved classification, detection, and prediction accuracy by adding a five-layer pre-trained network to the MobileNetV2 framework. …”
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Prioritization of causal genes from genome-wide association studies by Bayesian data integration across loci. by Zeinab Mousavi, Marios Arvanitis, ThuyVy Duong, Jennifer A Brody, Alexis Battle, Nona Sotoodehnia, Ali Shojaie, Dan E Arking, Joel S Bader

“…Better prioritization and prediction of causal genes could reveal disease mechanisms and suggest interventions.…”
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Typhoon Cloud System Identification and Forecasting Using the Feng-Yun 4A/Advanced Geosynchronous Radiation Imager Based on an Improved Fuzzy Clustering and Optical Flow Method by Gen Wang, Dongyong Wang, Wei Han, Jian Yin

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Parameter Acquisition Study of Mining-Induced Surface Subsidence Probability Integral Method Based on RF-AGA-ENN Model by Jinman Zhang, Liangji Xu, Jiewei Li, Yueguan Yan, Ruirui Xu

“…In China, the probability integral method (PIM), the most popular method for predicting surface movement deformation caused by coal resource mining, has a prediction accuracy that is mainly influenced by both the measurement data (i.e., quantity and quality) from ground movement observatories and the parameter inversion method. …”
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Automated Fillet Weld Inspection Based on Deep Learning from 2D Images by Ignacio Diaz-Cano, Arturo Morgado-Estevez, José María Rodríguez Corral, Pablo Medina-Coello, Blas Salvador-Dominguez, Miguel Alvarez-Alcon

“…In a subsequent experiment, the distinction between a well-manufactured weld bead and a defective one was predicted. In a final experiment, it was possible to predict whether a weld seam was well-manufactured or not, distinguishing between three possible welding defects. …”
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Coal and Gas Outburst Affected by Law of Small Fault Instability during Working Face Advance by Jianyun Lin, Yujun Zuo, Kai Zhang, Wenjibin Sun, Biao Jin, Taotao Li, Qing-gang Chen

“…The paper analyzes the influence of small faults on coal and gas outbursts in the working face, which has reference significance for the prediction and prevention of coal and gas outburst disaster in the working face.…”
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Anomaly Detection in Spatiotemporal Data from Fiber Optic Distributed Temperature Sensing for Outdoor Fire Monitoring by Haitao Bian, Xiaohan Luo, Zhichao Zhu, Xiaowei Zang, Yu Tian

“…Fiber Optic Distributed Temperature Sensing (FO-DTS), recognized for its high sensitivity and broad monitoring range, provides significant advantages in detecting outdoor fires. However, prediction models trained in laboratory settings often yield false and missed alarms when deployed in complex outdoor settings, due to environmental interferences. …”
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Circulating CTRP1 Levels Are Increased and Associated with the STOD in Essential Hypertension in Chinese Patients by Zhengjia Su, Shuya Tian, Wei Liang

“…In conclusion, CTRP1 levels are increased and associated with the STOD (heart and kidney) in essential hypertension, which can be regarded as a novel biomarker in the prediction of prognosis for patients with essential hypertension.…”
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Effects of elastic anisotropy on the small fatigue crack deflection behavior of α-brass by Jinta Arakawa, Ryushin Kamada, Ryo Yabuki, Yuki Ogawa, Hiroyuki Akebono, Atsushi Sugeta

“…Furthermore, it was also suggested that this prediction is useful independent of grain size and the magnitude of the anisotropy of the crystal grain.…”
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miR-224 activates cancer-associated fibroblasts to enhance lung cancer cell migration and invasion by targeting Akirin1 by Seonyeong Oh, Sieun Lee, Inyoung Cheon, Young-Ho Ahn

“…In a mouse orthotopic injection model, miR-224 overexpression in LFs increased lung cancer metastasis. Using target prediction tools and subsequent 3′-UTR luciferase assay, Akirin1 was validated as a direct target gene of miR-224. …”
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PD_EBM: An Integrated Boosting Approach Based on Selective Features for Unveiling Parkinson's Disease Diagnosis With Global and Local Explanations by Fahmida Khanom, Mohammad Shorif Uddin, Rafid Mostafiz

“…Explainable machine learning (XML) addresses this by providing transparency and clarity in model predictions. Techniques such as Local Interpretable Model‐agnostic Explanations (LIME) and SHapley Additive exPlanations (SHAP) have become popular for interpreting these models. …”
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Advanced spectrophotometric chemometric methods for resolving the binary mixture of doxylamine succinate and pyridoxine hydrochloride by Katsarov Plamen, Gergov Georgi, Alin Aylin, Pilicheva Bissera, Al-Degs Yahya, Simeonov Vasil, Kassarova Margarita

“…The prediction power of partial least squares (PLS) and multivariate curve resolution-alternating least squares (MCR-ALS) methods have been studied for simultaneous quantitative analysis of the binary drug combination - doxylamine succinate and pyridoxine hydrochloride. …”
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