Fully digital workflow for a CAD-CAM custom healing abutment with an optimal emergence profile: A dental technique.

The preoperative fabrication of well-contoured, computer-aided design and computer-aided manufacturing (CAD-CAM), custom healing abutments is essential for guiding soft tissue healing and saving chairside time. This dental technique involves a fully digital workflow to fabricate a CAD-CAM custom healing abutment that relies on preoperative digital implant planning. The healing abutment is designed with an optimal emergence profile that can predictably direct the anatomy of the peri-implant mucosa.

Exploring cyclic olefin copolymer (COC) for flexible silver nanowire electrode.

The development of flexible electronic devices has been a primary focus in various fields, and silver nanowire (Ag NW) networks show significant promise due to their unique electrical and mechanical properties. However, achieving well-defined and stable nanowire coatings on polymer substrates remains challenging. This work presents a novel and simple approach for directly coating Ag NWs on cyclic olefin copolymer (COC) substrates utilizing ultraviolet/ozone (UVO) treatment, a method not previously demonstrated for this specific material system up to our knowledge.

Renoprotective effects of apocynin and/or umbelliferone against acrylamide-induced acute kidney injury in rats: role of the NLRP3 inflammasome and Nrf-2/HO-1 signaling pathways.

Acrylamide (ACR) is a toxic, probably carcinogenic compound commonly found in fried foods and used in the production of many industrial consumer products. ACR-induced acute kidney injury is mediated through several signals. In this research, we investigated, for the first time, the therapeutic effects of phytochemicals apocynin (APO) and/or umbelliferone (UMB) against ACR-induced nephrotoxicity in rats and emphasized the underlying molecular mechanism.

Automatic brain-tumor diagnosis using cascaded deep convolutional neural networks with symmetric U-Net and asymmetric residual-blocks.

The use of various kinds of magnetic resonance imaging (MRI) techniques for examining brain tissue has increased significantly in recent years, and manual investigation of each of the resulting images can be a time-consuming task. This paper presents an automatic brain-tumor diagnosis system that uses a CNN for detection, classification, and segmentation of glioblastomas; the latter stage seeks to segment tumors inside glioma MRI images. The structure of the developed multi-unit system consists of two stages.

Single posterior implant-supported restorations fabricated using a scannable healing abutment versus a conventional scan body: A randomized controlled trial.

Statement Of Problem: The use of a scannable healing abutment is a convenient option for fabricating implant-supported restorations (ISRs) with a digital workflow; however, clinical studies evaluating prosthetic efficacy are lacking.

Purpose: The purpose of this randomized controlled trial was to investigate the prosthetic efficacy of definitive posterior single ISRs fabricated after scanning using a scannable healing abutment-scan peg (SHA-SP) in comparison with a conventional scan body (CSB). The time for data acquisition, quality of proximal and occlusal contacts, and relative occlusal force of ISRs were measured.