Fitness Costs in Diamondback Moth (L.) (Lepidoptera: Plutellidae) Resistant to Lufenuron, A Chitin-Synthesis Inhibitor Insecticide.

The diamondback moth (DBM), is the main pest of Brassicas crops worldwide, and its recorded resistance to 101 active ingredients indicates it is difficult to control. The purpose of this study was to investigate the hypothesis that has fitness costs associated with its resistance to lufenuron, a chitin-synthesis inhibitor insecticide. Thus, concentration-mortality bioassays were performed for susceptible (REC-S), resistant (BZR-R) populations, their progenies F1 and F1', and one established population without selection pressure (BZR-Rns) after four generations.

Predicting health impacts of wildfire smoke in Amazonas basin, Brazil.

Worldwide, smoke from forest fires has deleterious health effects. Even so, because of the complexity of fire mechanics, public health authorities face challenges in forecasting and thus mitigating population exposure to smoke. The population in the Amazon basin regularly suffers from fire smoke tied to agriculture and land-use change.

Aesthetic assessment instrument for breasts reconstruction.

Introduction: Few validated aesthetic assessment instruments in breast reconstruction use discrete scales to facilitate studies with multiple evaluators.

Objective: This research aimed to propose an aesthetic assessment scale for reconstructed breasts.

Methodology: A scale was suggested using discrete variables, with responses ranging from 1 to 10, and the responses for each category could be summed to obtain an average that could be used in studies with multiple evaluators.

Spatial-temporal pattern of colorectal cancer mortality in a Northeastern Brazilian State.

Colorectal cancer (CRC) is one of the most common cancer types worldwide. Its increasing mortality trends, especially in emerging countries, are a concern. The aim of this study was to analyse mortality trends and spatial patterns of CRC in the state of Sergipe, Brazil, from 1990 to 2019.

Hybrid unorganized machines to estimate the number of hospital admissions caused by PM[Formula: see text] concentration.

Air pollution levels exceeding the recommended limit can be the main cause of illnesses that affect human health, mainly diseases of the respiratory system. Consequently, this high exposure can impact public health management, given the increase in hospital admissions. One of the most influential air pollution parameters related to respiratory diseases is particulate matter (PM) concentrations.

Cross-cultural adaptation of the Skin Cancer Index into Brazilian Portuguese for patients with cervicofacial nonmelanoma skin cancer.

Purpose: This study aimed to translate the Skin Cancer Index (SCI) into Portuguese, adapt it for Brazilian culture, and clinically validate it.

Methods: A five-stage cross-cultural adaptation model was followed, with subsequent clinical validation. Inter-rater agreement was assessed using the content validity index (CVI).

Surgical Instrument Signaling Gesture Recognition Using Surface Electromyography Signals.

Surgical Instrument Signaling (SIS) is compounded by specific hand gestures used by the communication between the surgeon and surgical instrumentator. With SIS, the surgeon executes signals representing determined instruments in order to avoid error and communication failures. This work presented the feasibility of an SIS gesture recognition system using surface electromyographic (sEMG) signals acquired from the Myo armband, aiming to build a processing routine that aids telesurgery or robotic surgery applications.

Recent assessment and characterization of Tuta absoluta resistance to cartap hydrochloride.

Tuta absoluta can cause 100% loss in tomato yield in Brazil and chemical control, which uses cartap hydrochloride (nereistoxin derivative), is still the most used tactic against T. absoluta populations. Despite the long use of cartap hydrochloride, the genetic and physiological bases underlying the resistance are not known.

Correlation Analysis of In-Vehicle Sensors Data and Driver Signals in Identifying Driving and Driver Behaviors.

Today's cars have dozens of sensors to monitor vehicle performance through different systems, most of which communicate via vehicular networks (CAN). Many of these sensors can be used for applications other than the original ones, such as improving the driver experience or creating new safety tools. An example is monitoring variables that describe the driver's behavior.

Metaheuristics-Based Optimization of a Robust GAPID Adaptive Control Applied to a DC Motor-Driven Rotating Beam with Variable Load.

This work aims to analyze two metaheuristics optimization techniques, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), with six variations each, and compare them regarding their convergence, quality, and dispersion of solutions. The optimization target is the Gaussian Adaptive PID control (GAPID) to find the best parameters to achieve enhanced performance and robustness to load variations related to the traditional PID. The adaptive rule of GAPID is based on a Gaussian function that has as adjustment parameters its concavity and the lower and upper bound of the gains.

Removal or substitution of in feed antimicrobials in swine production.

Antimicrobial substitutes are being used in pig production systems, to maintain the health of the animals without compromising their performance. The aim of this study is to evaluate the impact of either the removal of in feed antimicrobials or their substitution for feed additives, at the nursery and growing/finishing stages. At weaning, 1091 piglets were sexed, vaccinated, homogenized by weight and allocated to six treatments during the nursery stage (26-63 d): T1- feed with no antimicrobials nor additives; T2 - feed with antimicrobials; T3 - feed with prebiotic; T4 - feed with probiotic; T5 - feed with essential oils; T6 - feed with organic acids.

Aesthetic assessment of breast reconstruction in the eyes of plastic surgeons versus nonplastic physicians.

Objective: The aim of this study was to evaluate the perception of the aesthetic result of breast reconstruction surgery from the perspective of plastic surgeons compared with physicians who are not specialists in plastic surgery.

Methods: Twenty patients who underwent breast reconstruction after mastectomy had their aesthetic results evaluated by 16 plastic surgeons and 16 nonplastic physicians, yielding a total of 620 ratings (320 ratings from plastic surgeons and 320 ratings from other specialists). For all analyses, the level of rejection adopted for the null hypothesis was 5% (p-value <0.

Energy Consumption Forecasting for Smart Meters Using Extreme Learning Machine Ensemble.

The employment of smart meters for energy consumption monitoring is essential for planning and management of power generation systems. In this context, forecasting energy consumption is a valuable asset for decision making, since it can improve the predictability of forthcoming demand to energy providers. In this work, we propose a data-driven ensemble that combines five single well-known models in the forecasting literature: a statistical linear autoregressive model and four artificial neural networks: (radial basis function, multilayer perceptron, extreme learning machines, and echo state networks).

Clinical Features of COVID-19 on Patients With Neuromyelitis Optica Spectrum Disorders.

Background And Objectives: To describe the clinical features and disease outcomes of coronavirus disease 2019 (COVID-19) in patients with neuromyelitis optica spectrum disorder (NMOSD).

Methods: The Neuroimmunology Brazilian Study Group has set up the report of severe acute respiratory syndrome (SARS-CoV2) cases in patients with NMOSD (pwNMOSD) using a designed web-based case report form. All neuroimmunology outpatient centers and individual neurologists were invited to register their patients across the country.

Convolutional Neural Networks to Estimate Dry Matter Yield in a Guineagrass Breeding Program Using UAV Remote Sensing.

Forage dry matter is the main source of nutrients in the diet of ruminant animals. Thus, this trait is evaluated in most forage breeding programs with the objective of increasing the yield. Novel solutions combining unmanned aerial vehicles (UAVs) and computer vision are crucial to increase the efficiency of forage breeding programs, to support high-throughput phenotyping (HTP), aiming to estimate parameters correlated to important traits.

Perceptions of Modulatory Factors in Migraine and Epilepsy: A Multicenter Study.

Migraine and epilepsy are both common episodic disorders, typically precipitated or inhibited by some modulatory factors (MFs). To assess the self-perception of MFs in patients with migraine (PWM) compared to patients with epilepsy (PWE) with a standardized protocol in different countries. Transcultural multicenter comparative cross-sectional study.

Obtaining tissues and organs: empowering actions of nurses in the light of ecosystem thinking.

Objectives: to analyze, in the light of ecosystem thinking, the actions of nurses that stimulate the potential to increase the rates of organ and tissue donation.

Methods: descriptive, exploratory, mixed method study, of the embedded type, with simultaneous realization and emphasis on the quantitative approach, including 125 nurses from the Intra-hospital Commission for Donation of Organs and Tissues for Transplants in the Southern Region of Brazil. Data were collected using an online survey questionnaire.

Inheritance and Fitness of Plutella xylostella (Lepidoptera: Plutellidae) Resistance to Chlorfenapyr.

The diamondback moth, Plutella xylostella (L.) (Lepidoptera: Plutellidae), is a key pest of Brassicaceae worldwide. Populations have globally evolved resistance to various insecticides including chlorfenapyr, which was observed at high frequency in Brazil.

Quality of Pinus sp. pellets with kraft lignin and starch addition.

Pellets are widely used for power generation because they use renewable raw material with easy storage, transport and high energy density. However, the structural fragility, disintegrating during handling, transport and storage, is one of the main problems of pellets, but the addition of binders/additives can minimize this fragility. The objective of this study was to evaluate the properties of wood pellets with the addition of starch (corn and wheat) and kraft lignin in different proportions.

Comprehensive care from the perspective of nurses: an ecosystem approach.

Objectives: to verify nurses' perceptions about comprehensive care to human beings from the ecosystem perspective, with Therapeutic Touch use.

Methods: an exploratory-descriptive, qualitative study, conducted with 11 nurses who use/used Therapeutic Touch in daily work. Data were collected through online semi-structured interviews and submitted to discursive textual analysis.

Trends in the incidence and mortality of colorectal cancer in a brazilian city.

Objectives: This study was conducted to analyze the trends in colorectal cancer (CRC) incidence and mortality in the city of Aracaju, Sergipe State, Brazil, between 1996 and 2015 with Joinpoint Regression Program 4.7.0.