Osservatorio culturale del Piemonte 2001. Relazione annuale

- Indice #4- Introduzione #6- I consumi culturali #9- Gli aspetti economici e occupazionali #76- La produzione culturale #89- Osservazioni conclusive #120- Bibliografia #12

Osservatorio culturale del Piemonte 1999. Relazione annuale

- Indice #4- Presentazione #5- Editoriale #7- Introduzione #9- I consumi culturali #12- Gli aspetti economici e occupazionali #58- La produzione culturale #81- Bibliografia #10

PROCESSO DE PREÇOS DINÂMICOS

No processo de preços dinâmicos o preço deve expressar o interesse da empresa em efetivar a negociação. Para tanto, deve ser personalizado e flexível para atender de forma diferenciada aos clientes e suas necessidades. O processo de preços dinâmicos orienta a efetivação do negócio de forma a alcançar os parâmetros estabelecidos para os objetivos de lucro, de alcance de mercado, de volumes de estoque e de custos. Por ter base nos indicadores contábeis a serem atingidos, permite identificar oportunidades que poderão culminar com a superação das metas pré-determinadas, contribuindo para que a empresa amplie sua participação no mercado. É, portanto, mais uma ferramenta de planejamento e de gestão, agregando eficiência e ação estratégica às operações das empresas

Master your Metrics with Calibration

Machine learning models deployed in real-world applications are often evaluated with precision-based metrics such as F1-score or AUC-PR (Area Under the Curve of Precision Recall). Heavily dependent on the class prior, such metrics make it difficult to interpret the variation of a model's performance over different subpopulations/subperiods in a dataset. In this paper, we propose a way to calibrate the metrics so that they can be made invariant to the prior. We conduct a large number of experiments on balanced and imbalanced data to assess the behavior of calibrated metrics and show that they improve interpretability and provide a better control over what is really measured. We describe specific real-world use-cases where calibration is beneficial such as, for instance, model monitoring in production, reporting, or fairness evaluation.Comment: Presented at IDA202

Postoperative Analgesia with Transdermal Fentanyl or Intramuscular Methadone in Dogs Submitted to Thoracolumbar Hemilaminectomy

Background: Postoperative care after thoracolumbar hemilaminectomy in dogs generally includes rest, physical therapy, and analgesics such as opioids. Currently, there is no established standard for the management of postoperative pain in patients undergoing hemilaminectomy. Ideally, an analgesic protocol should provide adequate pain relief with limited sedation, low adverse effects, and postoperative patient comfort. Therefore, this study aimed to evaluate postoperative analgesia using transdermal fentanyl or intramuscular methadone in dogs undergoing thoracolumbar hemilaminectomy associated with intervertebral disc fenestration (HT) for the treatment of intervertebral disc extrusion (IVDE).Materials, Methods & Results: Eight dogs from the Department of Neurology and Neurosurgery of a veterinary teaching hospital, submitted to HT for the treatment of IVDE, were included. The dogs were randomly distributed into two groups of equal numbers, namely the transdermal fentanyl (FT) group and the intramuscular methadone (IM) group. At the end of the surgical procedure, a fentanyl adhesive patch was applied to the animals in the FT group, which remained there for 72 h. In the IM group, analgesia was induced by intramuscular administration of methadone at intervals of 6 h until 72 h after surgery. The animals were evaluated using the short form of the Glasgow Composite Pain Scale (SF-GCPS). Evaluations of physiological parameters, side effects, and pain were performed by two assessors who had experience using the pain scale and were blinded to the analgesic protocol. Pain evaluations were performed every 2 h (from T4) until 24 h after the surgical procedure. Evaluations were performed every 4 h from 24 h to 48 h after the surgical procedure and at intervals of 24 h from 48 h to 72 h.Discussion: Transdermal fentanyl provided the lowest pain scores, when evaluated by the SF-GCPS, for both assessors. These data are presented as a function of time in Figure 1, which shows the variation in pain scores by SF-GCPS over time. It should be noted that, for both assessors, animals in the FT group had lower pain scores than animals in the IM group. There was also less variation in pain scores in the FT group, indicating better analgesic quality. This can be explained by the maintenance of the drug’s plasma concentrations in a stable manner, avoiding periods of greater or lesser pain throughout the evaluation period due to the absence of increases or decreases in plasma concentration. In the IM group, three analgesic rescues were required; in the FT group, there was no rescue. Although the data indicate that IM was responsible for a greater occurrence in the number of rescues, it is worth noting that this information is based on a small group of animals. One dog needed two rescues (at T4 and T8), regarding which both assessors agreed, while another required one rescue (at T18), but there was a difference of one point between the raters. However, pain scores in all of the cases were considered to be mild, not moderate or severe, with rescues occurring on scores of 5/20. Both fentanyl used by the transdermal route and intramuscular methadone promoted analgesia in the first three postoperative days in dogs undergoing HT. Better stability in postoperative pain scores without the need for analgesic rescue and less occurrence of adverse effects were observed in dogs treated with FT.Keywords: fentanyl patch, neurosurgery, dogs, analgesia, pain.Título: Analgesia pós-operatória com Fentanil transdérmico ou Metadona intramuscular em cães submetidos à hemilaminectomia toracolombar Descritores: adesivo fentanil, neurocirurgia, cães, analgesia, dor

Scenario-based requirements elicitation for user-centric explainable AI

Explainable Artificial Intelligence (XAI) develops technical explanation methods and enable interpretability for human stakeholders on why Artificial Intelligence (AI) and machine learning (ML) models provide certain predictions. However, the trust of those stakeholders into AI models and explanations is still an issue, especially domain experts, who are knowledgeable about their domain but not AI inner workings. Social and user-centric XAI research states it is essential to understand the stakeholder’s requirements to provide explanations tailored to their needs, and enhance their trust in working with AI models. Scenario-based design and requirements elicitation can help bridge the gap between social and operational aspects of a stakeholder early before the adoption of information systems and identify its real problem and practices generating user requirements. Nevertheless, it is still rarely explored the adoption of scenarios in XAI, especially in the domain of fraud detection to supporting experts who are about to work with AI models. We demonstrate the usage of scenario-based requirements elicitation for XAI in a fraud detection context, and develop scenarios derived with experts in banking fraud. We discuss how those scenarios can be adopted to identify user or expert requirements for appropriate explanations in his daily operations and to make decisions on reviewing fraudulent cases in banking. The generalizability of the scenarios for further adoption is validated through a systematic literature review in domains of XAI and visual analytics for fraud detection