Materials for 3D printing in healthcare sector: A review.

Additive Manufacturing (AM) encompasses various techniques creating intricate components from digital models. The aim of incorporating 3D printing (3DP) in the healthcare sector is to transform patient care by providing personalized solutions, improving medical procedures, fostering research and development, and ultimately optimizing the efficiency and effectiveness of healthcare delivery. This review delves into the historical beginnings of AM's 9 integration into medical contexts exploring various categories of AM methodologies and their roles within the medical sector.

A neural network based global traveltime function (GlobeNN).

Global traveltime modeling is an essential component of modern seismological studies with a whole gamut of applications ranging from earthquake source localization to seismic velocity inversion. Emerging acquisition technologies like distributed acoustic sensing (DAS) promise a new era of seismological discovery by allowing a high-density of seismic observations. Conventional traveltime computation algorithms are unable to handle virtually millions of receivers made available by DAS arrays.

One-step synthesis of lead zirconate titanate particles using a solid-state reaction method.

This study aims to determine the one-step synthesis of lead zirconate titanate (PbZrTiO; PZT) particles, using a solid-state reaction method. These particles were synthesized at of 0.48, using a solid-state reaction (SSR) method at various operating temperatures of 700-1000 °C.

The global three: A Malaysian lens on the challenges and opportunities facing restorative justice planning and implementation.

From the rise of restorative justice to evidence-based approaches to reducing recidivism, the intellectual landscape of criminal justice has seen considerable change in recent decades. The result is that an increasing number of countries have tackled the task of shifting preexisting political institutions to confirm with these new understandings. This is, of course, no easy feat.

A Clinical Scoring System to Predict the Clinical Sequelae of Computed Tomography Diagnosed Intussusception.

Introduction: Intussusception in adults is increasingly diagnosed on cross-sectional imaging with a lack of clear recommendations on management. The presence of an underlying lead point is a key to guiding management as its absence can predict spontaneous resolution. We studied adult patients with computed tomography (CT) diagnosed intussusception formulate a clinical scoring system to predict the risk of an underlying lead point.