Agricultural activities produce large quantities of organic byproducts and waste rich in lignocellulosic materials, which are not sufficiently utilized. In this study, alternative agricultural waste products, namely, spent mushroom substrate (SMS) from the cultivation of edible mushrooms and the roots of leafy vegetables from hydroponic cultivation (HRL), were evaluated for their potential to be used as substrates for the cultivation of and their effects on the quality, the nutritional value, the chemical properties (lipid, protein, carbohydrate, ash, fatty acid and carbohydrate composition) and the bioactive content (total phenolic compounds and antioxidant activity) of produced mushrooms. SMS and HRL (in different ratios with and without additives) and wheat straw with additives (WS-control) were used.
View Article and Find Full Text PDFPurpose: To evaluate the effect of cone-beam computed tomography (CBCT) on radiation exposure, procedure time, and contrast media (CM) use in prostatic artery embolization (PAE).
Materials And Methods: Seventy-eight patients were enrolled in this retrospective, single-center study. All patients received PAE without (group A; n = 39) or with (group B; n = 39) CBCT.
J Cardiovasc Surg (Torino)
April 2021
Background: This study aimed to investigate performance, effectiveness, and safety of excimer laser atherectomy for the treatment of complex lower limb artery disease in a real-world setting.
Methods: In our prospective, multicenter registry, consecutive patients with complex lower limb lesions underwent excimer laser atherectomy with optional standard balloon angioplasty, paclitaxel-coated balloon angioplasty, and bailout stenting. Primary outcome was technical success.
Purpose: To evaluate the image quality and the safety of automated carbon dioxide (CO) digital subtraction angiography (DSA).
Materials And Methods: Fifty patients receiving DSA for femoropopliteal peripheral arterial disease (PAD) were enrolled in this single-center prospective study. All patients received iodinated contrast media (ICM) and CO as a contrast agent in the same target lesion.
Background: Computed tomography (CT) is a central modality in modern radiology contributing to diagnostic medicine in almost every medical subspecialty, but particularly in emergency services. To solve the inverse problem of reconstructing anatomical slice images from the raw output the scanner measures, several methods have been developed, with filtered back projection (FBP) and iterative reconstruction (IR) subsequently providing criterion standards. Currently there are new approaches to reconstruction in the field of artificial intelligence utilizing the upcoming possibilities of machine learning (ML), or more specifically, deep learning (DL).
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