Global, regional, and national trends in colorectal cancer burden from 1990 to 2021 and projections to 2040 by Tao Zhang, Yuchen Guo, Binxu Qiu, Xianyu Dai, Yifei Wang, Xueyuan Cao

“…Percentage changes and average annual percentage changes (AAPC) were then calculated to understand the trends in CRC disease burden. Decomposition and frontier analyses were conducted, and finally, the Bayesian age-period-cohort (BAPC) model was used to predict changes in ASRs up to 2040.ResultsThe GBD 2021 estimates indicate a significant increase in the global incident cases, deaths, and DALYs of CRC from 1990 to 2021. …”
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Lightweight Brain Tumor Segmentation Through Wavelet-Guided Iterative Axial Factorization Attention by Yueyang Zhong, Shuyi Wang, Yuqing Miao, Tao Zhang, Haoliang Li

“…Conventional deep learning methods, such as convolutional neural networks and transformer-based models, frequently introduce significant computational overhead or fail to effectively represent multi-scale features. …”
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On the Analytical Treatment for the Fractional-Order Coupled Partial Differential Equations via Fixed Point Formulation and Generalized Fractional Derivative Operators by Saima Rashid, Sobia Sultana, Nazeran Idrees, Ebenezer Bonyah

“…In this study, a hybrid Jafari transform mixed with the Adomian decomposition method for obtaining the analytical solution to Burgers’ problem is provided. …”
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Thermal Evaluation of Biocomposites Made from Poly(Lactic Acid) and Cottonseed Byproducts by Zhongqi He, Sunghyun Nam, Sourabh Kulkarni, Mohammad Bagheri Kashani, Ramaswamy Nagarajan

“…Results from two kinetic modeling methods that were examined indicated that the activation energy was relatively steady for the neat PLA in the whole degradation process. …”
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Thermal Radiation Transport with Tensor Trains by Alex A. Gorodetsky, Patrick D. Mullen, Aditya Deshpande, Joshua C. Dolence, Chad D. Meyer, Jonah M. Miller, Luke F. Roberts

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Second-round effects of food prices on core inflation in Turkey by Türken Fatma, Yildirim Mustafa Ozan

“…This study investigates the second-round effects of food price shocks on core inflation using monthly data from January 2013 to June 2024 through a Bayesian Structural Vector Autoregressive (SBVAR) model. Incorporating domestic and international macroeconomic variables, the model identifies second-round effects by imposing theory-based constraints and leveraging Bayesian methods. …”
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Integrating structured and unstructured data for livestock price forecasting: a sustainability study from South Korea by Yifan Zhu, Yifan Zhu, Yifan Zhu, Tserenpurev Chuluunsaikhan, Jong-Hyeok Choi, Aziz Nasridinov

“…In terms of price prediction, the proposed AM-LSTM model outperformed traditional statistical methods, as well as machine learning and deep learning baselines, achieving improvements in MAE ranging from 43.0 to 87.4%. …”
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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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Investigation and Trend Prediction of Disease Burden of Hypertensionin the Elderly Population Globally and in China from 1990 to 2021 by ZHAO Xiaoxiao, LU Xiaohui, KE Lixin, GAO Wulin, MENG Xiangran, REN Lili, DING Yunhan, ZHANG Qiang, XUN Yangqin, WU Jibiao, LU Cuncun

“…The relative impact of aging, population growth, and epidemiological changes on disease burden was analyzed using a three-factor decomposition method. Future projections for the disease burden from 2022 to 2040 were performed using a Bayesian model.ResultsFrom 1990 to 2021, both age-standardized mortality and DALYs rates for hypertension in the elderly population demonstrated a significant downward trend globally and in China (both AAPC values were negative, all P < 0.001). …”
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Magnitude, temporal trend and inequality in burden of neck pain: an analysis of the Global Burden of Disease Study 2019 by Fengshuo Xu, Xiangdong Zhang, Meng Yang, Qi Zhao, Qiusheng Wang, Jie Lian, Rong Zhang, Tianyun Chu, Zhaoxi Kou, Mingyu Zhao

“…A Bayesian Age-Period-Cohort (BAPC) model was constructed to predict trends over the next 25 years. …”
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Epidemiological analysis of chronic kidney disease from 1990 to 2019 and predictions to 2030 by Bayesian age-period-cohort analysis by Boqing Dong, Yuting Zhao, Jiale Wang, Cuinan Lu, Zuhan Chen, Ruiyang Ma, Huanjing Bi, Jingwen Wang, Ying Wang, Xiaoming Ding, Yang Li

“…Joinpoint analysis assessed epidemiological trends of CKD from 1990 to 2019. An age-period-cohort model evaluated risk variations. Risk factor analysis uncovered their influences on DALYs and deaths of CKD. …”
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Sleep duration and mental health in middle-aged and older adults: a study on gender differences by Jie Meng, Dan Li, Feng Sun, Lingling Tang, Jing Wang, Hui Li, Hui Li

“…A multiple linear regression model was adopted to analyze the effect of sleep duration on mental health, and then the Oaxaca-Blinder decomposition for linear model was used to further explore the effect of sleep duration on gender differences in mental health.ResultsThe scores of mental health scale of male and female participants were 12.16(4.19) and 12.53(4.31), respectively. …”
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Trends and regional disparities in maternal hypertensive disorders among women of childbearing age: a global burden of disease analysis from 1990 to 2021 by Jiayu Wang, Jingxuan Wang, Yu Guan, Jia Liang, Dongdong Tang, Tailang Yin, Lianghui Diao

“…We examined disparities across countries and Socio-Demographic Index (SDI) regions, analyzed the influence of demographic and epidemiological factors through decomposition analysis, and projected future trends in MHD burden through 2050 using a Bayesian age-period-cohort (BAPC) model. …”
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Epidemiological and demographic drivers of ischemic stroke attributed to high fasting plasma glucose from 1990 to 2021: findings from the 2021 global burden of disease study by Yanwen Dong, Yangyang Wang, Yangyang Wang, Xiaomei Lan, Xiaomei Lan, Huiyan Zeng

“…In different Socio-demographic Index (SDI) regions, we used the Age-Period-Cohort (APC) model to evaluate the impact of age, cohort, and period on Age-Standardized Mortality Rate (ASMR) and decomposition analysis to separate the contributions of population, aging, and epidemiological changes. …”
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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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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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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

“…Our results emphasize the need for improved electrode configurations and physiochemical modelling to elucidate tree SP in relation to transpiration.…”
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A Dual-View Approach for Multistation Short-Term Passenger Flow Prediction in Bus Transit Systems by Gang Luo, Haoxuan Kuang, Dongran Zhang, Kunxiang Deng, Jun Li

“…The TSD-ST model leverages time series decomposition for data enhancement. …”
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Efficient Gearbox Fault Diagnosis Based on Improved Multi-Scale CNN with Lightweight Convolutional Attention by Bin Yuan, Yaoqi Li, Suifan Chen

“…Moreover, compared to other fault diagnosis methods, the model exhibits superior performance under complex working conditions.…”
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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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