Short-Term Electricity Price Forecasting Based on the Two-Layer VMD Decomposition Technique and SSA-LSTM

Accurate electricity price forecasting (EPF) can provide a necessary basis for market decision making by power market participants to reduce the operating cost of the power system and ensure the system’s stable operation. To address the characteristics of high frequency, strong nonlinearity, and high volatility of electricity prices, this paper proposes a short-term electricity price forecasting model based on a two-layer variational modal decomposition (VMD) technique, using the sparrow search algorithm (SSA) to optimize the long and short-term memory network (LSTM). The original electricity price sequence is decomposed into multiple modal components using VMD. Then, each piece is predicted separately using an SSA-optimized LSTM. For the element with the worst prediction accuracy, IMF-worst is decomposed for a second time using VMD to explore the price characteristics further. Finally, the prediction results of each modal component are reconstructed to obtain the final prediction results. To verify the validity and accuracy of the proposed model, this paper uses data from three electricity markets, Australia, Spain, and France, for validation analysis. The experimental results show that the proposed model has MAPE of 0.39%, 1.58%, and 0.95%, RMSE of 0.25, 0.9, and 0.3, and MAE of 0.19, 0.68, and 0.31 in three different cases, indicating that the proposed model can well handle the nonlinear and non-stationarity characteristics of the electricity price series and has superior forecasting performance

Effective mechanisms in the formation of pool-rimstone dams in continental carbonate systems: The case study of Huanglong, China

The tufa/travertine landscape is an important heritage and ecological wealth given to mankind by nature, of which rimstone dam limiting pools are important features that allow their development. This study explores the mechanisms influencing the formation of rimstone dams through the study of depositional behavior in the short-term under hydrodynamic action, hydrochemical changes, and biological characterization, independent from the long-term dynamics. Numerical simulations clearly show the complex flow regimes of the paired pool and rimstone dam. Differences in flow regime and particle transport distribution in different areas of the pool lead to differences in deposition at different areas of the pool. Hydrodynamic effects generate morphological changes of the pool-rimstone dam by promoting the deposition on the outer wall of the dam and causing no-deposition and remobilization (erosion in a broad sense) in the inner wall. Significant changes in the ion concentrations of Ca2+ and HCO3− occur at short distances in the external upper and lower parts of the dam, suggesting that the thin layer of water and high velocity conditions in the outer wall of the rimstone dam facilitate precipitation. Biological processes influence the development of rimstone dam and promote its thickening. The plant remains of leaves, branches, and roots provide the basic depositional framework and depositional template for rimstone dam growth. Besides, microorganisms affect the micro-morphology of calcite through their own metabolism. This study aims to clarify the mechanisms of pool-rimstone dam formation by exploring the interactions between abiogenic and biogenic controls within a hydrodynamic model.Fil: Zhang, Ting. Southwest University Of Science And Technology; ChinaFil: Dai, Qunwei. Southwest University Of Science And Technology; ChinaFil: An, Dejun. Huanglong National Scenic Resort Administrative Bureau; ChinaFil: Mors, Rodolfo Agustín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigaciones en Ciencias de la Tierra. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones en Ciencias de la Tierra; ArgentinaFil: Li, Qiongfang. Southwest University Of Science And Technology; ChinaFil: Astini, Ricardo Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigaciones en Ciencias de la Tierra. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones en Ciencias de la Tierra; ArgentinaFil: He, Jingwen. Southwest University Of Science And Technology; ChinaFil: Cui, Jie. Southwest University Of Science And Technology; ChinaFil: Jiang, Ruiyang. Southwest University Of Science And Technology; ChinaFil: Dong, Faqin. Southwest University Of Science And Technology; ChinaFil: Dang, Zheng. Southwest University Of Science And Technology; Chin

Proteogenomic characterization of pancreatic ductal adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer with poor patient survival. Toward understanding the underlying molecular alterations that drive PDAC oncogenesis, we conducted comprehensive proteogenomic analysis of 140 pancreatic cancers, 67 normal adjacent tissues, and 9 normal pancreatic ductal tissues. Proteomic, phosphoproteomic, and glycoproteomic analyses were used to characterize proteins and their modifications. In addition, whole-genome sequencing, whole-exome sequencing, methylation, RNA sequencing (RNA-seq), and microRNA sequencing (miRNA-seq) were performed on the same tissues to facilitate an integrated proteogenomic analysis and determine the impact of genomic alterations on protein expression, signaling pathways, and post-translational modifications. To ensure robust downstream analyses, tumor neoplastic cellularity was assessed via multiple orthogonal strategies using molecular features and verified via pathological estimation of tumor cellularity based on histological review. This integrated proteogenomic characterization of PDAC will serve as a valuable resource for the community, paving the way for early detection and identification of novel therapeutic targets. [Display omitted] •Proteogenomic characterization reveals the functional impact of genomic alterations•Phosphoproteomics uncovers putative therapeutic targets downstream of KRAS•Multiomics links endothelial cell remodeling and glycolysis to immune exclusion•Proteomics and glycoproteomics reveal candidates for early detection or intervention Comparative multiomic analyses of pancreatic ductal adenocarcinoma tumors with normal adjacent and pancreatic ductal tissues provide insight into genomic, proteomic, and immune dysregulation in driving disease

Endovascular therapy in acute ischaemic stroke with large infarction with matched or mismatched clinical-radiological severities: a post-hoc analysis of the ANGEL-ASPECT trialResearch in context

Summary: Background: Endovascular therapy (EVT) was demonstrated effective in acute large vessel occlusion (LVO) with large infarction. Revealing subgroups of patients who would or would not benefit from EVT will further inform patient selection for EVT. Methods: This post-hoc analysis of the ANGEL-ASPECT trial, a randomised controlled trial of 456 adult patients with acute anterior-circulation LVO and large infarction, defined by ASPECTS 3–5 or infarct core volume 70–100 mL, enrolled from 46 centres across China, between October 2, 2020 and May 18, 2022. Patients were randomly assigned (1:1) to receiving EVT and medical management or medical management alone. One patient withdrew consent, 455 patients were included in this post-hoc analysis and categorised into 4 subgroups by lower or higher NIHSS (< or ≥16) and smaller or larger infarct core (< or ≥70 mL). Those with lower NIHSS &amp; smaller core, and higher NIHSS &amp; larger core were considered clinical-radiological matched subgroups; otherwise clinical-radiological mismatched subgroups. Primary outcome was 90-day modified Rankin Scale (mRS). ANGEL-ASPECT is registered with ClinicalTrials.gov, NCT04551664. Findings: Overall, 139 (30.5%) patients had lower NIHSS &amp; smaller core, 106 (23.3%) higher NIHSS &amp; larger core, 130 (28.6%) higher NIHSS &amp; smaller core, and 80 (17.6%) lower NIHSS &amp; larger core. There was significant ordinal shift in the 90-day mRS toward a better outcome with EVT in clinical-radiological matched subgroups: lower NIHSS &amp; smaller core (generalised OR, 1.76; 95% CI, 1.18–2.62; p = 0.01) and higher NIHSS &amp; larger core (1.64; 1.06–2.54; 0.01); but not in the two clinical-radiological mismatched subgroups. Interpretation: Our findings suggested that in patients with anterior-circulation LVO and large infarction, EVT was associated with improved 90-day functional outcomes in those with matched clinical and radiological severities, but not in those with mismatched clinical and radiological severities. Simultaneous consideration of stroke severity and infarct core volume may inform patient selection for EVT. Funding: Unrestricted grants from industry [Covidien Healthcare International Trading (Shanghai), Johnson &amp; Johnson MedTech, Genesis MedTech (Shanghai), and Shanghai HeartCare Medical Technology]