Describing some of the dimensions that comprise the profile of the faculty staff of Statistics Departments in Brazil

O ensino da ciência estatística é obrigatório em praticamente todos os cursos de graduação das universidades brasileiras. Além disso, vários são cursos de Graduação em Estatística, distribuídos pelas várias universidades nacionais. Entretanto, apesar da importância desta ciência, não existem, na literatura nacional, estudos sistemáticos direcionados à caracterização dos docentes responsáveis pelo ensino da ciência estatística no país. Neste contexto, apresentamos, neste artigo, uma descrição de tais docentes, particularmente, no que tange aos cursos de Graduação em Estatística Esta descrição foi realizada por meio de um levantamento amostral descritivo, relacionado aos aspectos de sua formação e produção científica, sendo finalizada com a apresentação da previsão de demanda de Doutores em Estatística necessários para suprir as vagas em aberto a partir das ocorrências das aposentadorias dos docentes das Graduações em Estatística no país

NeoPredPipe: high-throughput neoantigen prediction and recognition potential pipeline.

BACKGROUND: Next generation sequencing has yielded an unparalleled means of quickly determining the molecular make-up of patient tumors. In conjunction with emerging, effective immunotherapeutics for a number of cancers, this rapid data generation necessitates a paired high-throughput means of predicting and assessing neoantigens from tumor variants that may stimulate immune response. RESULTS: Here we offer NeoPredPipe (Neoantigen Prediction Pipeline) as a contiguous means of predicting putative neoantigens and their corresponding recognition potentials for both single and multi-region tumor samples. NeoPredPipe is able to quickly provide summary information for researchers, and clinicians alike, on predicted neoantigen burdens while providing high-level insights into tumor heterogeneity given somatic mutation calls and, optionally, patient HLA haplotypes. Given an example dataset we show how NeoPredPipe is able to rapidly provide insights into neoantigen heterogeneity, burden, and immune stimulation potential. CONCLUSIONS: Through the integration of widely adopted tools for neoantigen discovery NeoPredPipe offers a contiguous means of processing single and multi-region sequence data. NeoPredPipe is user-friendly and adaptable for high-throughput performance. NeoPredPipe is freely available at https://github.com/MathOnco/NeoPredPipe

A Heuristic Approach for the Design of UAV-Based Disaster Relief in Optical Metro Networks

We propose a novel algorithm to dimension the backup elements in an optical metro network, by considering the adoption of Unmanned Aerial Vehicles (UAVs) and wireless interfaces to realize backup wireless links. Our key idea is to efficiently find the set of node pairs that have to be connected by means of multi-hop UAV-based wireless links, which are selected based on the simulation of multiple disaster events. Results, obtained over a set of meaningful scenarios, demonstrate that our solution can greatly reduce the total installation costs compared to a naive approach, which is instead solely tailored to the restoration of the disrupted links in a given disaster scenario

Health System Strengthening Through Professional Midwives in Bangladesh: Best Practices, Challenges, and Successes

In 2008, a cadre of professional midwives was introduced in Bangladesh. Since then, 120 midwifery educational programs have been established. There are 2,556 midwives serving at 667 government health facilities, and there are more midwives working in nongovernmental organizations and the private sector. This case study documents the process of establishing a midwifery profession with distinct midwifery expertise in Bangladesh and aims to guide other low- and middle-income countries in best practices and challenges. We describe the national administrative groundwork for the profession's launch, roll-out of an education program aligned with the International Confederation of Midwives, national deployment, enabling environments in deployment, and the professional association. Bangladesh's professional midwives' roles in humanitarian response and the COVID-19 pandemic are also discussed. The first and final authors were closely involved in supporting the government's establishment of the profession, and their direct experience is drawn upon to contextualize the topics. In addition, the authors conducted a desk review of documents that supported the profession's integration into the health system and documented its results. Both routine program data and existing research studies were reviewed. Outcomes show that midwives are deployed to 95% of government subdistrict hospitals. About 50% of these hospitals are fully staffed with 4 midwives, and within the hospitals, midwives are in charge of 90% of the maternity wards and attend 75%-85% of the births. Since the midwives' deployment, significant quality improvement for most World Health Organization indicators has been found, along with increases in service utilization. The experience of establishing a new midwifery profession in Bangladesh shows that it is possible for a lower middle-income country to introduce a globally standard midwifery profession, distinct from nursing, to improve quality sexual, reproductive, maternal, newborn, and adolescent health services in both humanitarian and development settings

Bootstrap resampling as a tool for calculating uncertainty measurement / Reamostragem bootstrap como uma ferramenta para calcular a incerteza de medição

The objective of this paper is to provide an applied research comparing the traditional and bootstrap methods to calculate the measure uncertainty. For this purpose, were performed a dimension analysis for internal and external diameter on one lot with around one hundred parts from a Brazilian company. Following, were performed resamples with replacement – bootstrap samples – for each dimension obtained and then the uncertainty calculation. After that, it was concluded that the proposed method is the most appropriate, because decreases the bias of estimation when it works with small sample size, which is common on metrology works. The companies researched assert that they do not perform the uncertainty calculation on dimension analysis in measuring; they only perform the involved instruments calibration. It justifies calculation using the bootstrap method proposed on this work

Migration rules: tumours are conglomerates of self-metastases

Tumours are heterogeneous populations composed of different cells types: stem cells with the capacity for self-renewal and more differentiated cells lacking such ability. The overall growth behaviour of a developing neoplasm is determined largely by the combined kinetic interactions of these cells. By tracking the fate of individual cancer cells using agent-based methods in silico, we apply basic rules for cell proliferation, migration and cell death to show how these kinetic parameters interact to control, and perhaps dictate defining spatial and temporal tumour growth dynamics in tumour development. When the migration rate is small, a single cancer stem cell can only generate a small, self-limited clone because of the finite life span of progeny and spatial constraints. By contrast, a high migration rate can break this equilibrium, seeding new clones at sites outside the expanse of older clones. In this manner, the tumour continually ‘self-metastasises'. Counterintuitively, when the proliferation capacity is low and the rate of cell death is high, tumour growth is accelerated because of the freeing up of space for self-metastatic expansion. Changes to proliferation and cell death that increase the rate at which cells migrate benefit tumour growth as a whole. The dominating influence of migration on tumour growth leads to unexpected dependencies of tumour growth on proliferation capacity and cell death. These dependencies stand to inform standard therapeutic approaches, which anticipate a positive response to cell killing and mitotic arrest

CLUSTERIZAÇÃO DE SISTEMAS DE MANEJOS E A CONSTRUÇÃO DE INDICADORES DE SUSTENTABILIDADE UTILIZANDO A METODOLOGIA MESMIS NO TERRITÓRIO PORTAL DA AMAZONIA

O governo brasileiro apoiou irrestritamente a ocupação da Amazônia Legal com créditos altamente subsidiados para substituir a floresta por atividades agropastoris com a justificativa de que precisava ocupar aquela região para soberania nacional. Deste modo, o governo federal investiu fortemente na região, sem nenhuma preocupação ambiental. O objetivo deste trabalho foi identificar agrupamentos familiares homogêneos e o nível de degradação socioambiental desses clusters na Microbacia Hidrográfica Mariana (MBM) localizada no município de Alta Floresta/MT, situada no Território Portal da Amazônia. Para tanto foram estudados os atributos físicos e químicos dos solos, análise das águas superficiais, realização de entrevistas semiestruturadas e aplicação da metodologia MESMIS (Marco para la Evaluación de Sistemas de Manejo de Recursos Naturales) para construção de indicadores de sustentabilidade socioambiental. Na clusterização empregou-se quatro técnicas de Estatística Multivariada, as quais indicaram dois sistemas de manejos na microbacia. Com as 56 famílias pesquisadas foram construídos indicadores para comparar a sustentabilidade entre eles. O marco MESMIS identificou que aquele espaço rural encontra-se muito longe do ideal de sustentabilidade tendo em vista o baixo índice agregado obtido no cluster 1 (35%) e no cluster 2 (35,2%), corroborado pela visão dos atores sociais urbanos que atingiu 40,2%, gerando o índice geral médio de 36,8%, indicando que a MBM encontra-se na condição “não sustentável ou crítica”