Identifying strategic opportunities through the development of a roadmap for additive manufacturing: The example of Portugal

Additive Manufacturing (AM) demonstrates significant potential with rapid growth and widespread industrial adoption. To support the integration and innovation of AM technologies, the development of guidance tools and support methods are crucial, and a technological roadmap can assist in this effort. Despite its widespread use in production processes, the need for further research on the potential impact of AM remains significant. The full impact of AM is still uncertain and lacks consensus, highlighting the need for increased knowledge and investment from the scientific community and organizations. While the benefits of AM are recognized, the challenges of its adoption are not entirely known. AM will bring changes in the way organizations create, distribute, and derive value. Thus, in this article, a roadmap for AM is proposed and presented as a tool to map technological knowledge on the implementation and evolution of AM and serve as a strategic guide for organizations. The methodology for its elaboration involves three phases: planning and preparation, roadmap development, and review and update. Through a literature review, database and project consultation, and questionnaires to Portuguese companies that use AM in their production process it was possible to characterize the AM technology and through the visual format, based on a time horizon, summarize in a common framework all the information about the current and future state of AM in Portugal. The results of this study show that research and development initiatives are essential to promote the evolution of knowledge of the AM technology. Throughout this study and with the development of the roadmap it is anticipated that in the near future the AM will be widely used for prototyping and manufacturing of components and may be used for direct production in the short to medium term. It was also found that the main obstacles to the implementation of AM are the economic/productivity factors and the shortage of professionals with knowledge and skills in the area.

Exploring the prevalence and antibiotic resistance profile of Klebsiella pneumoniae and Klebsiella oxytoca isolated from clinically ill companion animals from North of Portugal

Klebsiella spp. is an important pathogen in humans and animals and due to the indiscriminate use of antibiotics, its prevalence and antibiotic resistance has increased in companion animals. The main goal of this study was to investigate the prevalence and antibiotic resistance of Klebsiella spp. isolated from clinically ill cats and dogs admitted in veterinary clinics in the North of Portugal. A total of 255 clinical specimens were collected and, after isolation, the identification of Klebsiella strains was performed using the BBL Crystal™ identification system and confirmed by PCR-based sequencing with specific primers. Antibiotic resistance profile was determined through the disc diffusion method. Beta-lactam resistance genes were screened through a multiplex PCR assay. Fifty Klebsiella strains were isolated and, 39 were identified as Klebsiella pneumoniae and 11 as Klebsiella oxytoca. Thirty-one were recovered from dogs and 19 from cats. The Klebsiella isolates were recovered mainly from skin wounds, respiratory tract, and from urine. Fifty percent of K. oxytoca and K. pneumoniae isolates revealed to be Multidrug Resistant (MDR) strains, with most of them positive for the presence of blaTEM-like and blaSHV genes. This data shows that MDR Klebsiella are highly disseminated in companion animals and that extended-spectrum beta-lactamases can be easily found among these isolates. This highlights the potential role of dogs and cats as a reservoir of resistant Klebsiella spp. that have the potential to be transmitted to humans.

Deep learning for Gaussian process soft x-ray tomography model selection in the ASDEX Upgrade tokamak

Gaussian process tomography (GPT) is a method used for obtaining real-time tomographic reconstructions of the plasma emissivity profile in tokamaks, given some model for the underlying physical processes involved. GPT can also be used, thanks to Bayesian formalism, to perform model selection, i.e., comparing different models and choosing the one with maximum evidence. However, the computations involved in this particular step may become slow for data with high dimensionality, especially when comparing the evidence for many different models. Using measurements collected by the Soft X-Ray (SXR) diagnostic in the ASDEX Upgrade tokamak, we train a convolutional neural network to map SXR tomographic projections to the corresponding GPT model whose evidence is highest. We then compare the network's results, and the time required to calculate them, with those obtained through analytical Bayesian formalism. In addition, we use the network's classifications to produce tomographic reconstructions of the plasma emissivity profile.

Elective neck dissection versus observation in stage I squamous cell carcinomas of the tongue and floor of the mouth

A retrospective study was undertaken of patients with T1N0M0 squamous cell carcinoma of the oral tongue and floor of the mouth who underwent surgical treatment between 1985 and 1995. Evaluation of two groups of patients (neck dissection versus observation) was made according to the management of the neck. Results were obtained regarding the presence of occult metastases, recurrence in the neck, treatment failure, results of salvage treatment, and disease-free survival. Forty-nine patients underwent surgical treatment: 25 resection of primary and 24 resection plus neck dissection. Overall incidence of regional metastases was 24.5%. Eight patients (16%) developed recurrence of the disease. Seven (14%) had regional recurrences (including 1 with distant metastases) and 1(2%) had local recurrence. Twenty-four percent of patients from the resection of primary group developed neck recurrences in comparison with 4% of the resection plus neck dissection group (P = 0.05). Overall salvage rate was 37.5%. Second primary tumors developed in 16% of patients. Patients who underwent elective neck dissection had a 23% higher disease-free survival rate compared with those who underwent resection of the tumor alone (P = 0.03). The findings of this study stress the importance of control of the neck in early oral cancer. Elective neck dissection significantly improved regional control of the disease.

[Acute complications of diabetes mellitus]

A retrospective study was made of 83 diabetic patients admitted to the Department of Internal Medicine between January 1986 and December 1993, with acute intercurrence of the disease. The authors considered some clinical features (age, type and frequency of complication, form of presentation, causal aetiology, laboratory findings and therapeutic options). Statistical relationships between different populations were made using the unpaired Student's T. method. Results were compared with those in the literature, leading to some significant conclusions.

[Anorexia nervosa in a patient with type-1 diabetes mellitus]

Female patient, 21 years of age, with diabetes mellitus type I, admitted due to progressive weight loss, with a recent history of impaired glycemic control, ketosis and amenorrhea for 12 months. Studies were conducted in order to exclude an endocrine or malignant disorder. After nutritional, endocrine and psychiatric evaluation, the diagnosis of anorexia nervosa, was made. Therapeutic results and clinical course after the first year are shown. The case raises important problems, especially within diabetic population, puzzling the clues for diagnosis and therapy.

[Adrenal gland adenoma sensitive to renin]

Aldosterone-producing adenomas responsive to renin are an extremely rare subgroup of primary hyperaldosteronism and raise some diagnostic problems. In reference to the presentation of one case, some theoretical considerations regarding diagnosis are made.