Efficacy of fosaprepitant combined with tropisetron plus dexamethasone in preventing nausea and emesis during fractionated radiotherapy with weekly cisplatin chemotherapy: interim analysis of a randomized, prospective, clinical trial using competing risk analysis.

Purpose: There are no well-recognized guidelines for antiemesis during concurrent chemoradiotherapy (CCRT) for cervical cancer (CC) and nasopharyngeal cancer (NPC) until now. The study was designed to assess the efficacy and safety of fosaprepitant combined with tropisetron and dexamethasone in preventing nausea and vomiting during 5 weeks of fractionated radiotherapy and concomitant weekly low-dose cisplatin chemotherapy in patients with CC or NPC.

Methods: Patients with CC or NPC were scheduled to receive fractionated radiotherapy and weekly cisplatin (25-40 mg/m) chemotherapy for at least 5 weeks.

Bimetallic UiO-66-NH(Zr-Hf) synergistic photocatalytic and piezoelectric effects for the degradation of rhodamine B.

A series of bimetallic UiO-66-NH(Zr-Hf) metal-organic frameworks (MOFs) were prepared by a green hydrothermal method and tested for their photocatalytic and piezo-catalytic properties. Among them, UN(0.75Zr) (metal node: 0.

Radiomics models based on CT at different phases predicting lymph node metastasis of esophageal squamous cell carcinoma (GASTO-1089).

Purpose: To investigate the value of radiomics models based on CT at different phases (non-contrast-enhanced and contrast-enhanced images) in predicting lymph node (LN) metastasis in esophageal squamous cell carcinoma (ESCC).

Methods And Materials: Two hundred and seventy-four eligible patients with ESCC were divided into a training set (n =193) and a validation set (n =81). The least absolute shrinkage and selection operator algorithm (LASSO) was used to select radiomics features.

Efficient Toluene Adsorption on Metal Salt-Activated Porous Carbons Derived from Low-Cost Biomass: A Discussion of Mechanism.

Porous carbons (PCS) derived from sodium lignin sulfonate were activated by four common metal salts. The samples exhibit distinct characteristics of irregular, sunflower-like, interconnected sheet, and tine block morphologies under the impact of NaCl, CaCl, ZnCl, and FeCl, respectively (PCS-MCl ). Surprisingly, the maximum and minimum specific surface areas are 1524 and 44 m/g corresponding to PCS-ZnCl and PCS-NaCl.

Deep Learning Method Based on Gated Recurrent Unit and Variational Mode Decomposition for Short-Term Wind Power Interval Prediction.

Wind power interval prediction (WPIP) plays an increasingly important role in evaluations of the uncertainty of wind power and becomes necessary for managing and planning power systems. However, the intermittent and fluctuating characteristics of wind power mean that high-quality prediction intervals (PIs) production is a challenging problem. In this article, we propose a novel hybrid model for the WPIP based on the gated recurrent unit (GRU) neural networks and variational mode decomposition (VMD).