Can Focusing on One Deep Learning Architecture Improve Fault Diagnosis Performance?

Machine learning approaches often involve evaluating a wide range of models due to various available architectures. This standard strategy can lead to a lack of depth in exploring established methods. In this study, we concentrated our efforts on a single deep learning architecture type to assess whether a focused approach could enhance performance in fault diagnosis.

Model for predicting drug resistance based on the clinical profile of tuberculosis patients using machine learning techniques.

Tuberculosis (TB) is a disease caused by the bacterium and despite effective treatments, still affects millions of people worldwide. The advent of new treatments has not eliminated the significant challenge of TB drug resistance. Repeated and inadequate exposure to drugs has led to the development of strains of the bacteria that are resistant to conventional treatments, making the eradication of the disease even more complex.

Disseminated paracoccidioidomycosis in a captive western black-handed tamarin (Saguinus niger).

Paracoccidioidomycosis (PCM) is an endemic fungal disease that occurs in Latin America and primarily affects humans. The disease has been rarely documented in non-human primates. This report details a disseminated and fatal case of PCM caused by Paracoccidioides brasiliensis in a western black-handed tamarin (Saguinus niger) under human care.

Virtual Patient/Family Communication in the Acute Care Setting.

Patient and family-centered care strategies see patients and families as valuable healthcare team members and are therefore treated as essential clinical partners to achieve safe, high-quality care. Traditionally, hospitals have relied on physical presence as the primary strategy for including families in shared decision-making. During COVID-19, widespread visitor restrictions removed this primary strategy.

Effects of Essential Oils on Biological Characteristics and Potential Molecular Targets in .

control methods have proved to be inefficient, which justifies the search for new control measures. In this search for botanical insecticides for controlling , the following were evaluated: (i) the toxicity of essential oils (EOs) from , , and ; (ii) the effect of EOs on life table parameters against ; (iii) the chemical characterization of EOs; and (iv) the in silico interaction of the chemical constituents present in the three EOs with the molecular targets of . The EO from had the lowest LD (1.

Mapping Strategies for Strengthening Safety Culture: A Scoping Review.

Background: Twenty years after the "To Err Is Human" report, one in ten patients still suffer harm in hospitals in high-income countries, highlighting the need to strengthen the culture of safety in healthcare. This scoping review aims to map patient safety culture strengthening strategies described in the literature.

Method: This scoping review follows the JBI methodology.

Engineering properties and optimization of the dehulling process for hairless canary seed.

 This work aimed to determine the engineering properties of hairless canary seeds ( L.) of the variety "CDC Maria" and the optimum combination of operating conditions of the dehulling process with a pilot-scale centrifugal dehuller. The engineering properties analyzed in this study were the principal dimensions, length (4.

Study of machine learning techniques for outcome assessment of leptospirosis patients.

Leptospirosis is a global disease that impacts people worldwide, particularly in humid and tropical regions, and is associated with significant socio-economic deficiencies. Its symptoms are often confused with other syndromes, which can compromise clinical diagnosis and the failure to carry out specific laboratory tests. In this respect, this paper presents a study of three algorithms (Decision Tree, Random Forest and Adaboost) for predicting the outcome (cure or death) of individuals with leptospirosis.

MYCOLICIBACTERIUM FORTUITUM INFECTION IN EX SITU EMERALD TREE BOA (Corallus batesii).

Emerald tree boas (Corallus batesii) are boids that in situ occurs in forested habitats in the Amazon Basin. The mycobacterial species can infect reptiles but the species Mycolicibacterium fortuitum was identified only in feces samples of ex situ Python regius and was isolated from granulomatous lesions of an ex situ Iguana iguana when was still part of the genus Mycobacterium. This article aims to report a mycobacteria infection case in a female Corallus batesii kept under human care.

Molecular detection of Sarcocystis sp. in a kept under human care black capuchin monkey (Sapajus nigritus., Goldfuss 1809) with necrotizing encephalitis.

A senile male black capuchin monkey (Sapajus nigritus) kept under human care in a Zoo was found dead after 2 weeks presenting signals of weight loss and hyporexia. Histopathological revealed a necrotizing encephalitis. Although it was not observed microscopically, Sarcocystis sp infection was detected in brain tissue from molecular assays.

Phylogenetic analysis reveals a new introduction of Yellow Fever virus in São Paulo State, Brazil, 2023.

Yellow Fever (YF) is a viral arbovirosis of Public Health importance. In Brazil, surveillance is focused mainly on detecting epizootic events of Platyrrhini. Herein, we compared the detection and phylogenetic analysis of YF virus in two neotropical primates (NTP), a Callithrix detected in the previous epidemic period (2016-2020), and a Callicebus nigrifons, showing a new introduction of YF in 2023.

Assessment of the Brazilian Version of the Epworth Sleepiness Scale Using Item Response Theory: A Psychometric Study.

There seems to be a consensus that adolescents worldwide are not getting enough sleep. This study aimed to evaluate the psychometric properties of the Epworth Sleepiness Scale (ESS) in adolescents using the item response theory. A psychometric study was conducted with 2206 adolescents aged 18 and 19 years in the city of São Luís, Maranhão, Brazil.

Primary Healthcare of black immigrants during the COVID-19 pandemic.

Objective: To analyze how the healthcare of black immigrants was conducted during the COVID-19 pandemic in Primary Healthcare.

Method: An exploratory-descriptive study with a qualitative approach, carried out through semi-structured interviews with professionals who worked in 10 Health Units in the city of Curitiba, Brazil, from October 2020 to January 2021. Structural racism was the conceptual framework.

Framework for data-driven polymer characterization from infrared spectra.

Automating infrared spectra interpretation in microplastic identification is of interest since most current methodologies are conducted manually or semi-automatically, which requires substantial processing time and presents a higher accuracy limited to single-polymer materials. Furthermore, when it comes to multicomponent or weathered polymeric materials commonly found in aquatic environments, identification usually becomes considerably depreciated as peaks shift and new signals are frequently observed, representing a significant deviation from reference spectral signatures. Therefore, this study aimed to develop a reference modeling framework for polymer identification through infrared spectra processing, addressing the limitations above.

Disseminated Mucor indicus infection in a marmoset (Callithrix sp.).

Mucormycosis is rarely described in Platyrrhines. Herein, we describe the pathologic and molecular features of a gastric and hepatic infection by Mucor indicus in a marmoset (Callithrix sp.).

Infections by entomopathogenic fungi in common green iguanas (Iguana iguana) in captivity in Brazil.

Entomopathogenic fungi, widely available biological agents used to control agricultural pests, are sporadically reported to cause focal or disseminated infection in reptiles and mammals, including humans. This study summarizes the clinical presentation, histopathological and molecular findings by panfungal polymerase chain reaction and sequencing of four cases of hypocrealean fungal infections in captive common green iguanas (Iguana, iguana). One case of granulomatous pneumonia, hepatitis and serositis was related to Metarhizium flavoviride complex infection.

[Supply of best childbirth practices in maternity units of Rede Cegonha according to Item Response Theory].

This study aimed to develop an intelligible scale to measure the level of supply of best practices in labor, childbirth and delivery in maternity units in the Rede Cegonha (RC) based on the workers' perception. The scale consisted of seventeen items related to best practices, based on the instrument used in the "Evaluation of care during delivery and birth in maternity hospitals in the RC" research The three-parameter logistic model of Item Response Theory was used to create the scale and analyze the items. The scale consisted of three levels.

Antileishmanial activity of Riparin structural analogs of Aniba riparia: Biological evaluation, in silico Adme-Tox, and molecular docking.

We performed a biological evaluation of antileishmanial activity, in silico ADME-Tox profile, and molecular docking of riparins A-F. The antileishmanial activity was evaluated in Leishmania major promastigotes, whereas the cytotoxic activity was tested on murine macrophages. Computational parameters were predicted by in silico analysis.

Toxoplasmosis in a free-ranging hairy dwarf porcupine (Sphiggurus spinosus) with a potential novel genotype.

Toxoplasmosis is a zoonotic disease caused by the ubiquitous coccidia Toxoplasma gondii. Rodents play an important role in maintaining its life cycle, as they are one of the main diet sources for felids (wild and domestic), the unique definitive hosts. However, reports of toxoplasmosis in porcupines (Order Rodentia) are uncommon, with gaps concerning its pathophysiology.

Unsupervised Machine Learning Applied to Seismic Interpretation: Towards an Unsupervised Automated Interpretation Tool.

Seismic interpretation is a fundamental process for hydrocarbon exploration. This activity comprises identifying geological information through the processing and analysis of seismic data represented by different attributes. The interpretation process presents limitations related to its high data volume, own complexity, time consumption, and uncertainties incorporated by the experts' work.

Physical exercise is effective for neuropsychiatric symptoms in Alzheimer's disease: a systematic review.

Background: Neuropsychiatric symptoms are disorders frequently seen in Alzheimer's disease. These symptoms contribute to reduction of brain reserve capacity and, in addition, they present unfavorable implications, such as: poor prognosis for the disease, increased functional decline, increased burden on the caregiver and institutionalization. This scenario makes neuropsychiatric symptoms one of the biggest problems in Alzheimer's disease, and gives rise to a need for treatments focused on improving these symptoms.