Effects of Ca2+ on the Cross-linking of Sea Cucumber Collagen Fibers during Thermal Processing by Chen ZHANG, Hongyan LI, Hongxia CHE, Wancui XIE, Hang QI, Yongjun SUN, Wenming JU, Xiufang DONG

“…Subsequently, the extracted CFs were served as a simplified model, and after undergoing the same thermal processing, the contents of protein, polysaccharides and TCA soluble oligopeptides in the dissolution were determined by BCA, phenol sulfuric acid and Folin-method, respectively. …”
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The persistent challenge of ischemic stroke burden from high fasting plasma glucose: a global perspective by Zhenhai Sun, Menghe Zhang, Yaoyao Zuo, Wenwen Li, Shudi Li, Yunxiao Zhang, Shouqiang Chen

“…Additionally, our analysis included health inequality analysis, decomposition analysis, and predictive analysis employing the Bayesian Age-Period-Cohort model (BAPC).ResultsIn 2021, the global deaths and DALYs attributable to ischemic stroke due to HFPG were 659,378 (95% UI: 507,502 to 823,945) and 12,371,434 (95% UI: 9,587,506 to 15,382,662), respectively. …”
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The joint and interactive effects of the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and body mass index on the risk of depression... by Lingling Zhang, Yi Lai, Long Yan, Jiaping Fang, Kai Wang

“…Finally, we applied a four-way decomposition analysis method to examine the interactions and mediating effects within the aforementioned relationships. …”
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Deep learning and wavelet packet transform for fault diagnosis in double circuit transmission lines by Ziad M. Ali, Ehab M. Esmail

“…The WPT technique extracts approximation coefficients from current and voltage signals, which serve as inputs to deep learning models, particularly using the mother wavelet packet db10 for optimal decomposition. …”
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Effect of Co-Solvents, Modified Starch and Physical Parameters on the Solubility and Release Rate of Cryptotanshinone from Alcohologels by Justyna Kobryń, Patryk Demski, Bartosz Raszewski, Tomasz Zięba, Witold Musiał

“…The analytical methods included evaluation of CT release profiles, Fourier transform infrared spectroscopy (ATR-FTIR), differential scanning calorimetry (DSC), powder X-ray diffraction (PXRD) and electrospray ionization mass spectrometry (ESI-MS), and scanning electron microscope (SEM) images were performed. (3) Results: The release and decomposition kinetics of CT in relation to the phosphate buffer solution (PBS) and methanol were observed. …”
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Optimized CNN-Bi-LSTM–Based BCI System for Imagined Speech Recognition Using FOA-DWT by Meenakshi Bisla, Radhey Shyam Anand

“…The applicability of modern deep learning methods such as convolutional neural networks (CNNs) and bidirectional long short-term memory (Bi-LSTM) networks has seen substantial advances in complex EEG signal analysis as compared to ML-based methods. …”
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Study of unusable liquid propellant residues evaporation processes parameters in the tanks of launch vehicle worked-off stage in microgravity by V. I. Trushlyakov, V. A. Urbansky

“…A method is proposed for studying the evaporation process of unusable rocket propellant residues in worked-off stage under weightless conditions. …”
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Microbial community profiling for forensic drowning diagnosis across locations and submersion times by Qin Su, Xiaofeng Zhang, Xiaohui Chen, Zhonghao Yu, Weibin Wu, Qingqing Xiang, Chengliang Yang, Jian Zhao, Ling Chen, Quyi Xu, Chao Liu

“…Abstract Background Drowning diagnosis has long been a critical issue in forensic research, influenced by various factors such as the environment and decomposition time. While traditional methods such as diatom analysis have limitations in decomposed remains, microbial community profiling offers a promising alternative. …”
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Quantum Heisenberg Spin Chains with Inversely Linear Correlated Disorder: Localization Effects and State Transfer Protocols by MARCONI SILVA SANTOS JUNIOR, MESSIAS DE OLIVEIRA SALES, GUILHERME M.A. ALMEIDA, FRANCISCO ANACLETO BARROS FIDELIS DE MOURA

“…The Cholesky decomposition method is employed to generate the spin-spin coupling that adheres to this correlation structure. …”
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Research on filter-based adversarial feature selection against evasion attacks by Qimeng HUANG, Miaomiao WU, Yun LI

“…With the rapid development and widespread application of machine learning technology, its security has attracted increasing attention, leading to a growing interest in adversarial machine learning.In adversarial scenarios, machine learning techniques are threatened by attacks that manipulate a small number of samples to induce misclassification, resulting in serious consequences in various domains such as spam detection, traffic signal recognition, and network intrusion detection.An evaluation criterion for filter-based adversarial feature selection was proposed, based on the minimum redundancy and maximum relevance (mRMR) method, while considering security metrics against evasion attacks.Additionally, a robust adversarial feature selection algorithm was introduced, named SDPOSS, which was based on the decomposition-based Pareto optimization for subset selection (DPOSS) algorithm.SDPOSS didn’t depend on subsequent models and effectively handles large-scale high-dimensional feature spaces.Experimental results demonstrate that as the number of decompositions increases, the runtime of SDPOSS decreases linearly, while achieving excellent classification performance.Moreover, SDPOSS exhibits strong robustness against evasion attacks, providing new insights for adversarial machine learning.…”
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Regional Differences and Dynamic Evolution of Agricultural Product Market Integration in China by Fuxing Liu, Yumeng Gu, Qin Liu

“…We use the Dagum–Gini coefficient and its decomposition and the σ convergence and β convergence models to analyze regional variations, time trends, and convergence. …”
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Enhanced “Wind‐Evaporation Effect” Drove the “Deep‐Tropical Contraction” in the Early Eocene by Zikun Ren, Tianjun Zhou, Zhun Guo, Meng Zuo, Linqiang He, Xiaolong Chen, Lixia Zhang, Bo Wu, Wenmin Man

“…Based on the energetics framework of the Intertropical Convergence Zone (ITCZ) and the decomposition method of the latent heat flux along with the simulations of a climate system model, CESM1.2, we proposed a novel mechanism responsible for the “deep‐tropical contraction” in the early Eocene. …”
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The global impact of non-alcoholic fatty liver disease (including cirrhosis) in the elderly from 1990 to 2021 and future projections of disease burden. by Siying Huang, Weitao Hu, Taiyong Fang

“…The Joinpoint regression model was utilized to detect turning points in the epidemiological trends of NAFLD, and decomposition analysis was performed to analyze the factors influencing these trends. …”
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Global trends and inequities in smoking-attributable aortic aneurysm burden from 1990 to 2021 with future projections by Shuai Zhang, Zhaohui Hua, Zhen Li, Hui Cao, Shuai Cheng

“…This study leverages data from the Global Burden of Disease Study to analyze trends in smoking-related AA burden from 1990 to 2021, focusing on mortality, disability-adjusted life years (DALYs), and socioeconomic determinants.MethodsUsing GBD 2021 data, we assessed age-standardized mortality rates (ASMR), age-standardized DALY rates (ASDR). …”
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Wavelet-Analysis of Cardiosignals Using Matlab by B. F. Badalyan, H. A. Gomtsyan, S. G. Gomtsyan

“…For that purpose various algorithms based on either digital filtering methods or mathematical modeling of ECG signal particular sections are used. …”
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Incremental predictive value of liver fat fraction based on spectral detector CT for major adverse cardiovascular events in T2DM patients with suspected coronary artery disease by Min Wang, Tanglin Wei, Li Sun, Yanhua Zhen, Ruobing Bai, Xiaomei Lu, Yue Ma, Yang Hou

“…Abstract Background The purpose of this study was to explore the incremental predictive value of liver fat fraction (LFF) in forecasting major adverse cardiovascular events (MACE) among patients with type 2 diabetes mellitus (T2DM). Methods We prospectively enrolled 265 patients with T2DM who presented to our hospital with symptoms of chest distress and pain suggestive of coronary artery disease (CAD) between August 2021 and August 2022. …”
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Insights into the complex relationship between triglyceride glucose-waist height ratio index, mean arterial pressure, and cardiovascular disease: a nationwide prospective cohort st... by Jie Xu, Dihui Cai, Yuheng Jiao, Yingying Liao, Yinyin Shen, Yunli Shen, Wei Han

“…Time-dependent receiver operating characteristic (ROC) analysis was used to assess the predictive performance of TyG-WHtR, MAP for CVD. Four-way decomposition method explored the mediating effects of the TyG-WHtR index and MAP in CVD. …”
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Global, regional, and national burden of early-onset OA attributable to high BMI: 1990-2021 estimates and 2036 projections from the global burden of disease study. by Binbin Zhang, Bin Dou, Wenzuo Gu, Chuan Lu, Qi Yan, Dawa Zhaxi, Yu Wang, Jiale Xu, Kewen Li

“…Temporal trends in ASDR were quantified using the estimated annual percentage change (EAPC) and Joinpoint regression. Age-period-cohort models and decomposition analysis identified drivers of burden, while inequality was assessed using the Slope Index of Inequality (SII) and Concentration Index (CI). …”
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Analytical Approach to UAV Cargo Delivery Processes Under Malicious Interference Conditions by Fazliddin Makhmudov, Andrey Privalov, Sergey Egorenkov, Andrey Pryadkin, Alpamis Kutlimuratov, Gamzatdin Bekbaev, Young Im Cho

“…The cargo delivery process is modeled as a stochastic network, followed by the determination of its equivalent function and the use of Heaviside decomposition to calculate the distribution function and the expected delivery time. …”
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Shifted dominant flood drivers of an alpine glacierized catchment in the Tianshan region revealed through interpretable deep learning by Wenting Liang, Weili Duan, Yaning Chen, Gonghuan Fang, Shan Zou, Zhi Li, Zewei Qiu, Haodong Lyu

“…Two Long Short-Term Memory (LSTM) models (LSTM-SG and LSTM-DDF) were developed using these inputs, and additive decomposition and integrated gradient methods were applied to interpret flood mechanisms. …”
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