Investigating Black-Box Model for Wind Power Forecasting Using Local Interpretable Model-Agnostic Explanations Algorithm

Wind power forecasting (WPF) is important for safe, stable, and reliable integration of new energy technologies into power systems.Machine learning (ML) algorithms have recently attracted increasing attention in the field of WPF.However, opaque decisions and lack of trustworthiness of black-box models for WPF could cause scheduling risks.This study

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A 6-month audit of epidural analgesia in a teaching hospital

Introduction: Major laparotomies generally herald high pain scores postoperatively and have high automotive products intraoperative hemodynamic shifts.Traditional analgesic regimens with intravenous opioids were supplanted with the superior epidural analgesia (EA) in the mid-1980s.This was based on the perception that EA provided highly effective p

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Supersymmetric D-term Twin Higgs

Abstract We propose Girls Shorts a new type of supersymmetric Twin Higgs model where the SU(4) invariant quartic term is provided by a D-term potential of a new U(1) gauge symmetry.In the model the 125 GeV Higgs mass can be obtained for stop masses below 1 TeV, and a tuning required to obtain the correct electroweak scale can be as low as 20%.A sto

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The Opioid System in Rainbow Trout Telencephalon Is Probably Involved in the Hedonic Regulation of Food Intake

We hypothesize that opioids are involved Paste in the regulation of food intake in fish through homeostatic and hedonic mechanisms.Therefore, we evaluated in rainbow trout (Oncorhynchus mykiss) hypothalamus and telencephalon changes in precursors, endogenous ligands and receptors of the opioid system under different situations aimed to induce chang

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