STRAIN LOCALIZATION PECULIARITIES AND DISTRIBUTION OF ACOUSTIC EMISSION SOURCES IN ROCK SAMPLES TESTED BY UNIAXIAL COMPRESSION AND EXPOSED TO ELECTRIC PULSES by V. A. Mubassarova, L. M. Bogomolov, A. S. Zakupin, I. A. Panteleev, O. B. Naimark

“…It can provide new information on properties of acoustic emission and deformation responses of loaded rock specimens to external electric pulses.The research task also included verification of reproducibility of the effect (AE activity) when fracturing rates responded to electrical pulses, which was revealed earlier in studies conducted at RS RAS. …”
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Personal identification based on acoustic characteristics of outer ear using cepstral analysis, Bayesian classifier, and artificial neural networks by Alexey Sulavko, Alexander Samotuga, Irina Kuprik

“…The Bayesian classifier has been found to show a lower percentage of identification errors with an equal error rate (EER) = 0.0053. The best result for neural networks was EER = 0.0266. …”
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Exploration of fever characteristics in parturients under continuous temperature monitoring during labor analgesia and analysis of the impact on maternal and neonatal outcomes: an... by Xia Li, Xia Li, Junli Ma

“…Additionally, the fever group had a higher rate of meconium-stained amniotic fluid (grade III), used more analgesics, and had a higher rate of antibiotic use. …”
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Methodological development study: Dynamic mask attention graph neural network for mechanical ventilation in elderly intensive care unit patients by Yi Xie, Ni Xie, Jiao Guo

“…Results The experiments showed that DymaGNN achieved an area under the curve (AUC) value of 0.8363 and 0.8557 on the intubation prediction task on MIMIC-IV and eICU datasets, respectively, and maintained an AUC of 0.8115 under a 15% data missing rate. Visualization of the feature interaction graph revealed the relationship between important features such as respiratory rate and oxygen saturation. …”
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Generating Large Time–Bandwidth Product RF-Chirped Waveforms Using Vernier Dual-Optical Frequency Combs by Mohammed S. Alshaykh

“…In this work, we propose a photonics-based large-TBWP RF chirp generator utilizing dual optical frequency combs with a small difference in the repetition rate. By employing dispersion modules for frequency-to-time mapping, we convert the spectral interferometric patterns into a temporal RF sinusoidal carrier signal whose frequency is swept through the optical shot-to-shot delay. …”
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Epidemiological Characteristics of Human Rabies in Urban and Suburban Districts in Shanghai, 2006–2021 by Zhi Li, Jiayu Hu, Zhuoying Huang, Xiang Guo, Jia Ren, Jing Qiu, Xiaoying Ma, Han Yan, Fang Huang, Xiaodong Sun

“…The body parts most frequently injured by dogs were the hands (48.84%). The fatality rate was 100%. Most cases (86.05%) were not treated after exposure. …”
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Intelligent Prediction of Lost Circulation and Gas Invasion in Cementing Operations Based on ACO-SWXGBoost by Wei Ji, Mengyuan Xiong, Shuangjin Zheng

“…The model extracts both raw features and slope-based variations of key parameters—flow rate, pressure, and density—to enhance representation, incorporates a sliding window and time decay mechanism to capture dynamic patterns, and leverages ACO to optimize hyperparameters for improved predictive performance. …”
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Statistical Analysis of a Generalized Variant of the Weibull Model Under Unified Hybrid Censoring with Applications to Cancer Data by Mazen Nassar, Refah Alotaibi, Ahmed Elshahhat

“…Characterized by one scale parameter and two shape parameters, the proposed model offers enhanced flexibility for modeling diverse lifetime data patterns and hazard rate behaviors. Notably, its hazard rate function can exhibit five distinct shapes, including upside-down bathtub and bathtub shapes. …”
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Machine learning-optimized dual-band wearable antenna for real-time remote patient monitoring in biomedical IoT systems by Umar Musa, Amor Smida, Muhammad S. Yahya, Mohamed I. Waly, Jun Jiat Tiang, Nazih Khaddaj Mallat, Surajo Muhammad, Abubakar Salisu

“…The heart rate ranged from 65 to 99 BPM, and the body temperature ranged from 30 to 37 °C. …”
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Performance Prediction of the Gearbox Elastic Support Structure Based on Multi-Task Learning by Chengshun Zhu, Zhizhou Lu, Jie Qi, Meng Xiang, Shilong Yuan, Hui Zhang

“…The adaptive gating mechanism, hierarchical nonlinear transformation, and effective capture of temporal dynamics in the LSTM significantly enhance the model’s ability to model complex nonlinear patterns. …”
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Modelling the Rainfall Erosivity of the Rhone Region (Southeastern France) Associated with Climate Variability and Storminess by Nazzareno Diodato, Gianni Bellocchi, Nunzio Romano, Francesco M. Guadagno

“…Changes in the spatial and temporal patterns of extreme rainfall may have important effects on the magnitude and timing of rainfall erosivity, which in turn lead to even severe soil degradation phenomena. …”
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The distortion of fertility due to migration: A comparative analysis of migrants in the Netherlands and stayers in Poland by Nasim Ahamed Mondal, Agnieszka Fihel, Weronika Kloc-Nowak

“…The literature on migrants’ childbearing patterns offers several explanations for this phenomenon. …”
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9‐Year Trend in the Management of Acute Heart Failure in Japan: A Report From the National Consortium of Acute Heart Failure Registries by Yasuyuki Shiraishi, Shun Kohsaka, Naoki Sato, Teruo Takano, Takeshi Kitai, Tsutomu Yoshikawa, Yuya Matsue

“…These changes were not associated with in‐hospital mortality (4.7–7.5%) or 30‐day heart failure readmission rate (4.8–5.4%), as well as 1‐year mortality and heart failure readmission rate (20.1–23.3% and 23.6–26.2%, respectively). …”
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CTSS and CD53: Emerging m6A methylation markers in diabetic kidney disease pathogenesis and their clinical implications by Meng Leilei, Huang Bin, Li Rui, Wenjie Wen

“…CTSS and CD53 were identified as potential biomarkers and validated in diabetic mouse models, showing negative correlations with glomerular filtration rate. Conclusions This study reveals two m6A methylation patterns in DKD, with one associated with increased immune infiltration. …”
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Spike Timing-Dependent Plasticity and Random Inputs Shape Interspike Interval Regularity of Model STN Neurons by Thoa Thieu, Roderick Melnik

“…Furthermore, at fixed input noise levels, the model’s output closely matches experimental firing rate and ISI variability data from PD patients and animals, with statistical tests confirming significant effects of STDP on firing regularity. …”
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An optimal weighting-based hybrid classifier for Children's congenital heart diseases signal processing by Morteza Ebrahimpour, Mehdi Khashei

“…In addition, these improvements are not limited to the classification rate. The obtained results indicate that the proposed classifier can, on average, enhance performance by 6.46 %, 10.35 %, 8.37 %, and 6.22 % in precision, sensitivity, F1-score, and specificity, respectively. …”
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MULTIPLE ORGAN FAILURE IN PEDIATRIC CRITICAL CARE: ADVANCES IN PATHOPHYSIOLOGY AND PROGNOSIS by EVGENIYA O. Petrova, EVGENIY V. Grigoriev

“…Multiple organ failure is a leading cause of admission to the intensive care units, characterized by a high case fatality rate and significant financial costs. Here we review the mechanisms of multiple organ failure in pediatric patients (triggers, concomitant diseases, release of danger- and pathogen-associated molecular patterns, bacterial translocation, epithelial, endothelial, or mitochondrial dysfunction, and inadequate immune response) and recent diagnostic and prognostic scales.…”
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Tensile Fracture Behavior of Corroded Pipeline: Part 1—Experimental Characterization by Yuchao Yang, Feng Liu, Feng Xi

“…The comparative analysis based on the macroscopic stress-strain relationship shows that the rapid decrease of the yield stress, ultimate strength, and strain at the fracture for corroded pipe are correlated with the fracture patterns; i.e., the fracture patterns of pipe are changed from uniform to scattered with the continuous increase of the corrosion rate. …”
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Tensile strength and elongation prediction for pulsed current gas tungsten arc welded AISI 4135 steel by auto-associative memory network by Efezino McCarthy Elutabe, Sunday Ayoola Oke, John Rajan, Swaminathan Jose

“…The parameters investigated include gas flow rate, base current, welding speed, and peak current. …”
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XRGuard: A Model-Agnostic Approach to Ransomware Detection Using Dynamic Analysis and Explainable AI by M. Adnan Alvi, Zunera Jalil

“…Experimental results demonstrate that XRGuard achieves a 99.69% accuracy rate with an exceptionally low false positive rate of 0.5%. …”
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