Universidade de Pernambuco

About: Universidade de Pernambuco is a education organization based out in Recife, Brazil. It is known for research contribution in the topics: Population & Artificial neural network. The organization has 6147 authors who have published 6948 publications receiving 73648 citations.

Clinical Presentation of Primary Hyperparathyroidism: A Global Perspective

Abstract: The presentation of primary hyperparathyroidism (PHPT) has changed globally and most patients do not usually suffer from its overt skeletal complications. The clinical phenotype of normocalcemic PHPT has been considered the most noteworthy change in the presentation of PHPT in the United States over the past 10 years. In Europe, asymptomatic PHPT has been the predominant form of presentation as well. In most Latin American countries available data on primary hyperparathyroidism are from case reports or small case series with the majority of patients being presented in the symptomatic form. Conversely, in Brazil, the clinical presentation has been shifting toward asymptomatic PHPT. Recently, changing clinical patterns of PHPT have been reported in Chinese patients. In contrast, data from other Asian countries, like India, Iran, Saudi Arabia and Thailand, still report a predominance of symptomatic disease with overt skeletal manifestations.

Haskell in Green Land: Analyzing the Energy Behavior of a Purely Functional Language

Abstract: Recent work has studied the effect that factors such as code obfuscation, refactorings and data types have on energy efficiency. In this paper, we attempt to shed light on the energy behavior of programs written in a lazy purely functional language, Haskell. We have conducted two empirical studies to analyze the energy efficiency of Haskell programs from two different perspectives: strictness and concurrency. Our experimental space exploration comprises more than 2000 configurations and 20000 executions. We found out that small changes can make a big difference in terms of energy consumption. For example, in one of our benchmarks, under a specific configuration, choosing one data sharing primitive (MVar) over another (TMVar) can yield 60% energy savings. In another benchmark, the latter primitive can yield up to 30% energy savings over the former. Thus, tools that support developers in quickly refactoring a program to switch between different primitives can be of great help if energy is a concern. In addition, the relationship between energy consumption and performance is not always clear. In sequential benchmarks, high performance is an accurate proxy for low energy consumption. However, for one of our concurrent benchmarks, the variants with the best performance also exhibited the worst energy consumption. To support developers in better understanding this complex relationship, we have extended two existing performance analysis tools to also collect and present data about energy consumption.

Metabolic syndrome is an independent risk factor for breast cancer

Abstract: This study was aimed to assess the prevalence of metabolic syndrome in patients with breast cancer and the independent effect of metabolic syndrome on breast cancer risk. Eighty-one women aged 40–80 years with breast cancer and 81 controls of similar age were screened for metabolic syndrome prevalence and breast cancer risk factors, including age at diagnosis, age at menarche, reproductive status, live births, breastfeeding, family history of breast cancer, physical activity, cigarette smoking, body mass index, and metabolic syndrome parameters. Each variable was first assessed for baseline comparisons using the univariate model, and significant variables were then added to the multivariate conditional logistic regression model. Prevalence of metabolic syndrome was 59.2% in breast cancer patients, and 37% in the control group (p < 0.005). A positive and independent association was observed between metabolic syndrome and breast cancer risk (odds ratio = 2.49; 95% confidence interval 1.17–5.30). Metabolic syndrome is more prevalent in breast cancer patients and is an independent risk factor for breast cancer.

Pharmacologic management of pain in patients with Chikungunya: a guideline.

Abstract: From the arrival of Chikungunya virus in the Americas in 2013 until March 2016, approximately two million cases of the disease have been reported. In Brazil, the virus was identified in 2014 and thousands of people have been affected. The disease has high attack rates, infecting 50% of a population within a few months. Approximately 50% of infected people develop chronic symptoms lasting for months or years. Joint involvement is the main clinical manifestation of Chikungunya. It is characterized by swelling and intense pain that is poorly responsive to analgesics, both in the acute and chronic phase of the disease. This significantly compromises quality of life and may have immeasurable psychosocial and economic repercussions, constituting therefore, a serious public health problem requiring a targeted approach. Physicians are often not familiar with how to approach the management of pain, frequently prescribing limited analgesics, such as dipyrone, in sub-therapeutic doses. In addition, there are few published studies or guidelines on the approach to the treatment of pain in patients with Chikungunya. Some groups of specialists from different fields have thus developed a protocol for the pharmacologic treatment of Chikungunya-associated acute and chronic joint pain; this will be presented in this review.