Global, regional, and national burdens of pancreatic cancer attributable to smoking from 1990 to 2021 and the projections to 2035:a systematic analysis from the global burden of di... by Roubing Du, Yu Wang, Mengshu Pan, Jie Zhu, Yaping Zhao, Chuanzhen Zhang, Changhong Liu, Yuan Gao, Yuan Gao

“…Further analyses were conducted using the decomposition analysis and Bayesian Age-Period-Cohort (BAPC) model.ResultsGlobally, the ASDR and ASMR of the disease demonstrated a decreasing trend. …”
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Global burden of gallbladder and biliary diseases (1990–2021) with healthcare workforce analysis and projections to 2035 by Fangyi Dai, Yuzhou Cai, Shangjin Yang, Jingyang Zhang, Yong Dai

“…We employed the Estimated Annual Percentage Change (EAPC) to assess trends, decomposition analysis to identify drivers of change, health inequality analysis to evaluate distributional disparities, and the Bayesian Age-Period-Cohort (BAPC) model for projections to 2035. …”
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Reactivity in cell culture medium and in vitro anticancer activity of 3,5-di-tert-butylcatechol: link to metal-catechol interactions by Aviva Levina, Debbie C. Crans, Peter A. Lay

“…The reactivities and biology activities of a sterically hindered model catechol compound, 3,5-di-tert-butylcatechol (dtbH2) and its oxidation product 3,5-di-tert-butyl-o-quinone (dtbQ), were studied in cell culture medium to understand better the medicinal roles of this class of molecules.MethodsAnti-proliferative activities of dtbH2 and dtbQ in fresh and aged solutions of the molecules were studied in two common human cancer cell lines, T98G (glioblastoma) and A549 (lung carcinoma). …”
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Global, Regional, and National Burden of Ischemic Heart Disease Attributable to 25 Risk Factors and Their Summary Exposure Value Across 204 Countries With Different Socio-Demograph... by Tan J, Xue M, Li H, Liu Y, He Y, Liu J, Liu J, Tang L, Lin J

“…Specifically, we used the joinpoint regression model, decomposition analysis, and systematic fixed-effects analysis to reveal the global, regional, and national burden of IHD attributable to these 25 risk factors and their exposure value across 204 countries and territories with different socio-demographic index (SDI) levels from different perspectives.Results: Joinpoint regression revealed similar trends in summary exposure value (SEV) and attributable burdens for 25 IHD risk factors. …”
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Flower Automata Pattern-Based Discrimination of Fibromyalgia From Control Subjects Using Fusion of Sleep EEG and ECG Signals by Prabal Datta Barua, Makiko Kobayashi, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Jose Kunnel Paul, Thomas Iype, U. R. Acharya

“…This study introduces a novel, multimodal fibromyalgia detection system developed by the fusion of EEG and ECG signals recorded during sleep stages 2 and 3. The novelty of the model is the use of dynamic and interpretable feature engineering framework comprising of two innovations: 1) Flower Automata Pattern (FAP) for self-organized pattern-based feature extraction, and 2) Attention-Driven Wavelet Transform and Absolute Maximum Pooling (ADWTAMP) method for signal decomposition and compression. …”
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Self-potential signals related to tree transpiration in a Mediterranean climate by K. Hu, B. Loiseau, B. Loiseau, S. D. Carrière, S. D. Carrière, N. Lesparre, C. Champollion, N. K. Martin-StPaul, N. Linde, D. Jougnot

“…Self-potential (SP), a passive geophysical method, holds potential for constraining transpiration rates, though many questions remain regarding the electrophysiological processes occurring within trees. …”
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Adaptive-robust control for frequency and voltage stability in multi-terminal DC wind energy systems by Guo Li, Mohamed Salem, Khlid Ben Hamad, Tomonobu Senjyu, Soichiro Ueda

“…The second aim of this paper is to design a H∞ resistant controller based on loop shaping at the WSVSC station level. The proposed H∞ method relies on the mutual characteristic decomposition method (MCDM) for voltage control. …”
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Reversibilidad mandibular de la rigidez cadavérica por medios químicos en un modelo de rata by Jairo Alfonso Tovar-Franco, Diana Constanza Aparicio-Castellanos, Luisa Fernanda Henriquez Higuera

“…Mandibular reversibility of the cadaverous stiffness by chemical means in a rat model. The main problem that a dentist faces when collectingpostmortem evidence is the buccal opening, which is limited by the cadaverous stiffness phenomenon that begins 3 hours after death. …”
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An integrative framework for AI-supported coastal hydrodynamics monitoring and analysis by Ruo-Qian Wang, Gustavo Pacheco-Crosetti, Christian Villalta Calderon, Joel Cohen, Emily Smyth

“…Employing a blend of traditional methods and cutting-edge technologies, including the Segment Anything Model (SAM) for high-resolution image segmentation and Dynamic Mode Decomposition (DMD) for pattern recognition, we provide a comprehensive assessment of coastal water dynamics. …”
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The Efficiency of The Interest Channel in The Context of Monetary Policy in Developed Countries by Taner Taş, Kubilay Çağrı Yılmaz

“…Within the framework of the panel VAR model established in line with the results obtained from these tests, the efficiency of the interest channel was investigated with the impulse-response functions and variance decomposition methods. …”
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The Burden of Severe Periodontitis in China From 1990 to 2021, With Projections to 2050: A Comprehensive Analysis From The Global Burden of Disease Study 2021 by Yuyang Wang, Yinbao Wang, Lu Fan, Yueyuan Yu

“…A range of analytical methods, including comparative analysis, trend analysis, decomposition analysis, hierarchical cluster analysis, health inequality analysis, and predictive modeling, were employed to provide a comprehensive evaluation of the disease burden. …”
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Global and regional trends in the burden of surgically confirmed endometriosis from 1990 to 2021 by Ruijie Li, Ling Zhang, Yi Liu

“…In addition, we used joinpoint regression models to describe local trends in these indicators, assessed the correlation between disease burden and Socio-demographic index (SDI) levels, and used decomposition analysis to quantitatively analyze the driving factors leading to changes in disease burden. …”
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Machine learning and AVO class II workflow for hydrocarbon prospectivity in the Messinian offshore Nile Delta Egypt by Nadia Abd-Elfattah, Aia Dahroug, Manal El Kammar, Ramy Fahmy

“…Machine learning techniques, specifically neural network models, were trained to differentiate seismic features such as low-amplitude gas sand from background-amplitude water sand and shale. …”
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Advances in Electroencephalography for Post-Traumatic Stress Disorder Identification: A Scoping Review by Jose A. Salazar-Castro, Diego H. Peluffo-Ordonez, Diego M. Lopez

“…Broader datasets representing diverse populations are essential to mitigate bias and facilitate robust inter-model comparisons. Future research should focus on deep learning, adaptive signal decomposition, and multimodal approaches.…”
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A hybrid framework for classifying and detecting aircraft cabin anomalous sounds under heavy background noise by Jiaan Chen, Tian Gan, Chenyi Zhao, Huayong Zhao, Ci Song, Xiaole Wang, Zhenyu Huang

“…And in the second stage for anomalous sound identification, a lightweight convolutional neural network, trained with ArcFace loss and aided by an anomalous feature decomposition method, detects those labeled anomalous sounds even when the signal-to-noise ratio (SNR) is very low. …”
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Joint P- and S-Wave VSP Traveltime Tomography via Well Log-Guided Physics-Informed Neural Networks by Tengyu Wang, Dingding Deng, Duoming Zheng, Zhen Zhang, Wenjun Luo, Yang Liu

“…To overcome these limitations, physics-informed neural networks (PINNs) have been introduced, enabling the PINN-based tomography framework (PINNtomo) to utilize the representational strength of neural networks to solve theeikonal equation, reconstruct velocity models in a data-consistent and physically constrained method, and address these challenges more effectively. …”
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Multi-Scale Analysis of Knee Joint Acoustic Signals for Cartilage Degeneration Assessment by Anna Machrowska, Robert Karpiński, Marcin Maciejewski, Józef Jonak, Przemysław Krakowski, Arkadiusz Syta

“…The proposed method demonstrates the potential for early detection of knee joint pathology, providing a valuable tool for preventive healthcare and reducing the need for invasive diagnostic procedures. …”
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Utilization of plastic and glass waste mixed with sand as an alternative brick materials by Badiea A. Mahyoub, Amer H. Abdu, Adel A. Ahmed, Ibtisam M. Kamal

“…Optimization of the two effective variables (plastic/sand and galas ratios) has been made and correlating the results obtained using Box-Wilson statistical method to create a model for describing the predictable properties of a new product.…”
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ChatGPT in Physics Education: A Content-Based Analysis on Newtonian Force Problems by Ni Nyoman Sri Putu Verawati, Wahyudi Wahyudi, Nina Nisrina, Muhammad Asy'ari

“…Using a content-based qualitative evaluation method, the research was conducted in three stages: development and validation of conceptual physics problems, submission of these problems to ChatGPT, and assessment of the AI-generated responses by expert reviewers. …”
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Green synthesis of Ba(Fe1/2Nb1/2)O3 ceramics with high dielectric constant by Jha Anal K., Prasad Kamal

“…In this work, a novel green, reproducible and cost-effective synthetic method for the fabrication of dielectric Ba(Fe1/2Nb1/2)O3 (abbreviated as n-BFN) nanopowder mediated by waste lemon peel is presented. …”
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