Machine Learning in the Analysis of the Mechanical Shredding Process of Polymer Recyclates.

Artificial intelligence methods and techniques creatively support the processes of developing and improving methods for selecting shredders for the processing of polymer materials. This allows to optimize the fulfillment of selection criteria, which may include not only indicators related to shredding efficiency and recyclate quality but also energy consumption. The aim of this paper is to select methods of analysis based on artificial intelligence (AI) with independent rule extraction, i.

[Surgical Treatment of Tuberculous Spondylodiscitis].

PURPOSE OF THE STUDY The paper presents a monocentric retrospective study of patients treated surgically for spinal tuberculosis. Clinical and radiological results are analysed, early and late complications are recorded. The study aims to answer the following questions.

Development of New Health Risk Assessment of Nanoparticles: EPA Health Risk Assessment Revised.

The concentration of nanoparticles in the ambient air can lead to induced toxicities; however, it appears that nanoparticles’ unique properties are completely omitted when assessing health risks. This paper aims to enhance the EPA health risk assessment by incorporating two new variables that consider the size of nanoparticles: the toxicity multiplier and the size multiplier. The former considers the qualitative aspect of the size of particles within a concentration, whilst the latter takes into account the effects associated with the number of particles of the specific i-th size distribution interval.

AI-Based Support System for Monitoring the Quality of a Product within Industry 4.0 Paradigm.

Three-dimensional (3D) printing, also known as additive manufacturing (AM), has already shown its potential in the fourth technological revolution (Industry 4.0), demonstrating remarkable applications in manufacturing, including of medical devices. The aim of this publication is to present the novel concept of support by artificial intelligence (AI) for quality control of AM of medical devices made of polymeric materials, based on the example of our own elbow exoskeleton.

[Surgical Treatment of Sacral Chordoma].

PURPOSE OF THE STUDY The retrospective study of patients treated for sacral chordoma with respect of complications, clinical outcomes and longterm survival is presented. Three main hypotheses have been formulated. Hypothesis 1: survival of patients with respect to generalization of the disease, manifestation of local recurrence and metastases with a R0 resection margin achieved is longer than survival of patients with a R1 or R2 resection margin.