Combining temperature ramp dry combustion and mid-infrared spectroscopy for enhanced soil organic carbon characterisation by Lewis Walden, Raphael A. Viscarra Rossel

“…Understanding these components is crucial for modelling SOC turnover and stability. Conventional fractionation methods moslty use physical or chemical separations, but techniques such as mid-infrared (MIR) spectroscopy and thermal ramp dry combustion (TRDC) offer complementary, rapid approaches for SOC characterisation. …”
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Kinematic changes in dairy cows with induced, unilateral forelimb lameness during straight line walk by A. Leclercq, K. Ask, Y. Mellbin, A. Byström, M. Söderlind, E. Telezhenko, C. Bergsten, P. Haubro Andersen, M. Rhodin, E. Hernlund

“…Baseline and lameness data were compared in linear mixed models, where between-cow variability was accounted for. …”
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Global, Regional, and National Burden and Trends of Soft Tissue and Other Extraosseous Sarcomas From 1990 to 2021 by Rui Zhu MD, Ziyuan Shen PhD, Haijuan Zhu MD, Jisen Zhang MD, Xing Xing MS, Shengyou Wang MD, Jialiu Fang MD

“…We assessed the incidence, prevalence, mortality, and Disability-Adjusted Life Years (DALYs) for STOES, categorized by location, sex, and socio-demographic indices. Statistical methods included Estimated Annual Percentage Change (EAPC), Spearman correlation analysis, and Bayesian age-period-cohort modeling. …”
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Land use/land cover (LULC) classification using hyperspectral images: a review by Chen Lou, Mohammed A. A. Al-qaness, Dalal AL-Alimi, Abdelghani Dahou, Mohamed Abd Elaziz, Laith Abualigah, Ahmed A. Ewees

“…Third, we explore traditional machine learning models and cutting-edge methods in this field, with a particular focus on deep learning, and spectral decomposition techniques. …”
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A Review of Battery Energy Storage Optimization in the Built Environment by Simone Coccato, Khadija Barhmi, Ioannis Lampropoulos, Sara Golroodbari, Wilfried van Sark

“…Highlighting the integration of batteries with renewable infrastructures, we explore multi-objective optimization strategies and hierarchical decomposition methods for effective battery utilization. …”
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POSSIBILITIES OF INCREASING THE EFFICIENCY OF PYROTECHNICAL GENERATORS OF ICE-FORMING AEROSOL by A. G. Shilin, B. M. Khuchunaev

“…In this work, the ways of increasing the efficiency of existing pyrotechnic generators and means of active influence are investigated. Materials and methods of the research. Laboratory experiments were carried out on the physical modeling of the combustion processes of pyrotechnic compositions under the inluence of various conditions. …”
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Burden of cataracts in developing countries: a trend analysis based on data from China, 1990 to 2021 by Cancan Zhang, Pingping Li, Lurun Yu, Lu Li

“…Joinpoint regression, decomposition analysis, and ARIMA modeling were employed to analyze trends and predict future disease burden.ResultsFrom 1990 to 2021, the number and crude rate for cataract related blindness and visual impairment increasing significantly in China. …”
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The Identification and synthesis of metabolites of 4-(5-methyl-1,3,4-oxadiazole-2-yl)-benzenesulfonamide by Alexander L. Khokhlov, Ilya I. Yaichkov, Anton A. Shetnev, Valeria A. Panova, Julia A. Efimova, Sergey A. Ivanovskiy, Mikhail K. Korsakov, Nikita N. Volkhin, Sergey S. Petukhov

“…For a complete pharmacokinetic study of this drug, it is necessary to detect and synthesize its metabolites for their systemic exposure evaluation. Materials and Methods: The investigation was performed on 6 Wistar rats and 6 Soviet Chinchilla rabbits. …”
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Trends and predictions of the global burden of ischemic heart disease in women of childbearing age attribute to high body mass index and hypertension,1990–2021: a systematic analys... by Qi Gu, Shuxiong Nong, Chenang Liu, Yongfeng Chen, Meng Wu, Chilin Liao, Cong Hu

“…To assess the contribution of epidemiological changes, population growth, and population ageing, a decomposition analysis was used. Exponential Smoothing (ES) modeling and the Autoregressive Integrated Moving Average (ARIMA) model were used to predict the global ASDR (age-standardized DALYs rate), ASMR (age-standardized mortality rate) attributed to the 2 risk factors from 2022 to 2050. …”
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Single-cell and spatial atlas of glioblastoma heterogeneity: characterizing the PCLAF+ subtype and YEATS4’s oncogenic role by Siqi Ma, Yuwei Sun, Shaowei Zheng, Yilong Fu, Liangyu Wang, Dun Liu, Henan Jiao, Xuqiang Zhu, Xueyuan Li, Dongming Yan, Di Chen, Zi Ye

“…Spatial transcriptomics integrated Multimodal Intersection Analysis, TransferData, and Robust Cell Type Decomposition techniques to characterize the spatial distribution patterns of key cell subtypes. …”
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Child mortality estimation: a comparison of UN IGME and IHME estimates of levels and trends in under-five mortality rates and deaths. by Leontine Alkema, Danzhen You

“…Large differences in U5MR estimates between the UN IGME and the IHME exist in countries with conflicts or civil unrest, countries with high HIV prevalence, and countries where the underlying data used to derive the estimates were different, especially if the exclusion of data series differed between the two research groups. A decomposition of the differences showed that differences in estimates due to using different data (inclusion of data series and pre-processing of data) are on average larger than the differences due to using different trend fitting methods.…”
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Multi-objective optimization for smart cities: a systematic review of algorithms, challenges, and future directions by YiFan Chen, Weng Howe Chan, Eileen Lee Ming Su, Qi Diao

“…Existing algorithms are organised into four families—bio-inspired, mathematical theory-driven, physics-inspired, and machine-learning-enhanced—and benchmarked for computational efficiency, scalability, and scenario suitability across six urban domains: infrastructure, energy, transportation, Internet of Things (IoT)/cloud systems, agriculture, and water management. While established methods such as Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Multiobjective Evolutionary Algorithm based on Decomposition (MOED/D) remain prevalent, hybrid frameworks that couple deep learning with evolutionary search display superior adaptability in high-dimensional, dynamic environments. …”
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The global prevalence of complete hearing loss in 204 countries and territories from 1992 to 2021: a systematic analysis for the global burden of disease study 2021 by Guan-Jiang Huang, Zhi-Jun Fan, Biao-Qing Lu

“…We analyzed temporal trends in ASPR using Joinpoint regression, evaluated the contributions of age, period, and cohort effects through Age-Period-Cohort modeling, and performed decomposition analysis to determine the impact of demographic and epidemiological changes on prevalence trends. …”
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Improving Voice Spoofing Detection Through Extensive Analysis of Multicepstral Feature Reduction by Leonardo Mendes de Souza, Rodrigo Capobianco Guido, Rodrigo Colnago Contreras, Monique Simplicio Viana, Marcelo Adriano dos Santos Bongarti

“…Our framework involves extracting multicepstral features followed by the application of diverse dimensionality reduction methods, such as Principal Component Analysis (PCA), Truncated Singular Value Decomposition (SVD), statistical feature selection (ANOVA F-value, Mutual Information), Recursive Feature Elimination (RFE), regularization-based LASSO selection, Random Forest feature importance, and Permutation Importance techniques. …”
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An analysis of the global, regional, and national burden of blindness and vision loss between 1990 and 2021: the findings of the Global Burden of Disease Study 2021 by Lijuan Que, Qin Zhu, Chun Jiang, Qianyi Lu

“…ObjectivesTo evaluate the global burden of blindness and vision loss (BVL) from 1990 to 2021 using a retrospective analysis of epidemiological data from Global Burden of Disease (GBD) study 2021 and to project trends over the next 15 years.MethodsThis retrospective study analyzed data on years lived with disability (YLDs) and prevalence across 204 countries and territories. …”
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Comprehensive Analysis of Trends in Ocean Surface Current by Delineating Kuroshio Extent Using an Optimized Segmentation Algorithm by Mohammed Abdul Athick A.S., Shih-Yu Lee, Chian-Yi Liu

“…Regarding computational efficiency, Detecting Breakpoints and Estimating Segments in Trend (DBEST) and Wavelet Transform (WT) outperformed the other methods. Ensemble Empirical Mode Decomposition (EEMD) and Seasonal Trend Loess (STL) have similar levels of efficiency. …”
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Status assessment and management strategy of a large bridge based on massive real time data by Feng Zhou, Zhihao Cui

“…Using a domestic long-span suspension bridge as a case study, the bridge beam is conceptualized as a multi-degree-of-freedom structure, allowing for the application of linear structural vibration mode decomposition methods. During the on-site load testing, a structural health monitoring system is employed to collect real-time data, which facilitates the calculation of deflection and strain values for each control section under static load conditions. …”
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The global burden of otitis media in 204 countries and territories from 1992 to 2021: a systematic analysis for the Global Burden of Disease study 2021 by Guan-Jiang Huang, Bao-Rui Lin, Pei-Shan Li, Na Tang, Zhi-Jun Fan, Biao-Qing Lu

“…Trend analysis was conducted using estimated annual percentage change (EAPC), Joinpoint regression, age-period-cohort, and decomposition analyses. Future projections were generated using Bayesian age-period-cohort (BAPC) and auto-regressive integrated moving average (ARIMA) models.ResultsThe global incidence of otitis media rose from 322.1 million cases in 1992 to 391.3 million in 2021, with ASIR increasing slightly from 5345.09 to 5529.1 per 100,000 (EAPC: 0.11%). …”
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Sea-Ice Surface Types Characterization and SAR Volume Backscattering Properties in Response to Sea States Interactions Using Structural Feature Fusion by Iman Heidarpour Shahrezaei, Hyun-Cheol Kim

“…To accomplish this, a numerical approach for modeling random polar media (RPM) is proposed, benefiting from transform-domain fusion method decompositions in conjunction with a convolutional neural network to jointly reconstruct a reference MIZ model in response to wind waves. …”
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Distributed learning process: principles of design and implementation by G. N. Boychenko, L. I. Kundozerova

“…Personal educational objectives should be determined by decomposition of team objectives into functional roles of its members with considering personal and learning needs and interests of students.Theoretical and empirical methods used in the study: theoretical analysis of philosophical, psychological, and pedagogical literature on the issue, analysis of international standards in the e-learning domain; exploration on practical usage of distributed learning in academic and corporate sectors; generalization, abstraction, cognitive modelling, ontology engineering methods.Result of the research is methodology for design and implementation of distributed learning process based on the competency approach. …”
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