A combination of left ventricular outflow tract velocity time integral and lung ultrasound to predict mortality in ST elevation myocardial infarction.

Development of ventricular failure and pulmonary edema is associated with a worse prognosis in ST-elevation myocardial infarction (STEMI). We aimed to evaluate the prognostic ability of a novel classification combining lung ultrasound (LUS) and left ventricular outflow tract (LVOT) velocity time integral (VTI) in patients with STEMI. LUS and LVOT-VTI were performed within 24 h of admission in STEMI patients.

SAnDReS 2.0: Development of machine-learning models to explore the scoring function space.

Classical scoring functions may exhibit low accuracy in determining ligand binding affinity for proteins. The availability of both protein-ligand structures and affinity data make it possible to develop machine-learning models focused on specific protein systems with superior predictive performance. Here, we report a new methodology named SAnDReS that combines AutoDock Vina 1.

Effects of gamma radiation on the electrical properties of InAs/InGaAs quantum dot-based laser structures grown on GaAs and Si substrates by molecular beam epitaxy.

This study investigates the impact of gamma radiation on the electrical properties of InAs/InGaAs quantum dot-based laser structures grown on both GaAs (Sample A) and Si (Sample B) substrates using molecular beam epitaxy. The research explores the electrical characteristics of the lasers before and after being exposed to gamma radiation employing current-voltage (-), capacitance-voltage (-), deep level transient spectroscopy (DLTS) and Laplace DLTS techniques. The results show that the electrical properties of the lasers change due to gamma radiation exposure, and the extent of the change depends on the substrate used for growth.

Faunistic Analysis of Calliphoridae and Mesembrinellidae (Diptera: Oestroidea) at Different Stages of Bovine Liver Decomposition in the State of Rio de Janeiro.

Performing quantitative sampling and determining faunistic analyses of dipterans is of fundamental importance in the analysis of ecological behavior, such as population dynamics and diversity, among other factors, for exotic and native species of necrophagous dipterans, so it is important to observe the type of bait used in traps to capture these dipteran species. This work aims to study structural parameters and faunistic indices of the diversity of Calliphoridae and Mesembrinellidae species as well as the abundance and diversity of species attracted to liver in two stages of decomposition: fresh liver and liver at 48 h of putrefaction. A total of 2826 dipterans were collected during the period from May 2021 to February 2022.

Synanthropy and ecological aspects of Calliphoridae and Mesembrinellidae (Diptera: Oestroidea) in three ecological areas in Rio de Janeiro State, Brazil.

The determination of the synanthropic index is essential to evaluate the degree of association between species, such as diptera and man, based solely on their degree of preference for urban areas. This research aimed to study the synanthropic behavior of Calliphoridae and Mesembrinellidae flies in Rio de Janeiro, Brazil. The experiment was conducted between 2021 and 2022 in three areas, where four traps containing 300 g of fresh liver or with 48 h of putrefaction were installed, remaining exposed for 48 h; after collection the dipterans were sacrificed and taxonomically identified.

Synthesis and photothermal performance of non-stoichiometric molybdenum oxide (MoO) prepared by gamma radiation.

This work reports the interaction of γ-rays with MoO in several solvents to obtain non-stoichiometric (sub-oxide) MoO through a one-pot synthesis. The effect of different doses of γ-radiation (30-90 kGy) with different protic solvents (water, ,-dimethylformamide and formic acid) was investigated. Structural modifications were characterized by X-ray diffractometry and scanning electron microscopy while optical properties were investigated by UV-Vis spectroscopy.

Interaction of copper potential metallodrugs with TMPRSS2: A comparative study of docking tools and its implications on COVID-19.

SARS-CoV-2 is the virus responsible for the COVID-19 pandemic. For the virus to enter the host cell, its spike (S) protein binds to the ACE2 receptor, and the transmembrane protease serine 2 (TMPRSS2) cleaves the binding for the fusion. As part of the research on COVID-19 treatments, several Casiopeina-analogs presented here were looked at as TMPRSS2 inhibitors.

Bati Butter as a Potential Substrate for Lipase Production by NRRL-255.

This study evaluated bati butter () as a substrate for lipase production by solid-state fermentation (SSF) using NRRL-255. A gas chromatograph with a flame ionization detector determined the bati butter fatty acid profile. Lipase production and spore count were optimized using a 3 experimental design and evaluated using the response surface methodology.

Unwrapping broken tails: Biological and environmental correlates of predation pressure in limbless reptiles.

Studying species interactions in nature often requires elaborated logistics and intense fieldwork. The difficulties in such task might hinder our ability to answer questions on how biotic interactions change with the environment. Fortunately, a workaround to this problem lies within scientific collections.

A fluorescence digital image-based method using carbon quantum dots to evaluate the compliance of a biocidal agent.

In this work, a simple, low-cost and easy-to-handle analytical procedure based on carbon quantum dots (CQDs) is proposed to check commercially available formulated microbicides that are used to mitigate the transmission of viruses, such as SARS-COV-2, or bacterial diseases. For this purpose, CQDs were synthesized pyrolysis using citric acid and ethylenediamine as precursors to produce an intense fluorescence that is used to measure the concentration of hypochlorite, an important biocidal agent present in sanitizing mats, by quenching mechanisms. The characterization of the CQDs was performed using IR spectrophotometry, UV-Vis spectrophotometry, spectrofluorometry, thermogravimetric analysis, scanning electron microscopy, dynamic light scattering, X-ray diffraction, energy-dispersive spectroscopy, and zeta potential measurements.

Biological Response of Chrysomya putoria (Wiedemann, 1818) (Diptera: Calliphoridae) Pupae After Submersion in Freshwater.

Forensic Entomology uses arthropods to aid in legal investigations. This study checked the biological response of Chrysomya putoria pupae to submersion in fresh water for up to 6 d, evaluating the critical submersion time, survival rate, and development time of the flies. Adults were collected using fish baits in two typical traps.

Examination of Nocturnal Oviposition by Chrysomya putoria (Diptera: Calliphoridae) in Brazil.

This is the first study in Brazil that monitored the nocturnal oviposition behavior of Chrysomya putoria, a species of forensic importance, in order to verify if individuals of this species oviposit at night. Groups of 10 flies (5 male and 5 female) distributed in ten cages were kept in a fume hood and submitted to total darkness or exposed to artificial light for eleven consecutive hours through four experimental conditions in the laboratory. Two verifications were made to see if the females oviposited in the offered substrate of about 20 g of chicken gizzard per cage.

Overview of PCTK3/CDK18: A Cyclin-Dependent Kinase Involved in Specific Functions in Post-Mitotic Cells.

Cyclin-dependent kinases (CDKs) comprise a family of about 20 serine/threonine kinases whose catalytic activity requires a regulatory subunit known as cyclin; these enzymes play several roles in the cell cycle and transcription. PCTAIRE kinases (PCTKs) are a CDK subfamily, characterized by serine to cysteine mutation in the consensus PSTAIRE motif, involved in binding to the cyclin. One member of this class is PCTK3, which has two isoforms (a and b) and is also known as CDK18.

The Nocturnal Ovipositon Behavior of Chrysomya megacephala (Diptera: Calliphoridae) in Brazil and Its Forensic Implications.

Chrysomya megacephala (Fab. 1794) (Diptera: Calliphoridae) is a very important species for forensic entomology, mainly contributing estimations of the postmortem interval (PMI) in judicial investigations. There are some doubts about the nocturnal oviposition of these flies, which could lead to errors in the PMI calculation.

Fermented yellow mombin juice using Lactobacillus acidophilus NRRL B-4495: Chemical composition, bioactive properties and survival in simulated gastrointestinal conditions.

The purpose of the present study was to evaluate yellow mombin (Spondias mombin L.) juice as a vehicle for the Lactobacillus acidophilus NRRL B-4495 probiotic. The initial pH and fermentation temperature conditions were optimized by central composite rotational design.

Caffeine Supplementation or Carbohydrate Mouth Rinse Improves Performance.

Training volume is one of the critical variables required to promote resistance training benefits (e. g., hypertrophy, muscular strength).

Population Fluctuation, Influence of Abiotic Factors and the Height of Traps on the Abundance and Richness of Calliphoridae and Mesembrinellidae.

Calliphoridae and Mesembrinellidae are relevant to environmental conservation, public health, and forensic entomology. Researches regarding the flight behavior and the influence of abiotic factors on these insects may assist the application of entomology sciences. This study aimed to analyze the population fluctuation of Calliphoridae and Mesembrinellidae, verifying the influence of environmental factors, trap height, and the anthropic effect in the Itaipu-Piratininga lagoon complex, Niterói (RJ).

Diversity of Calliphoridae and Mesembrinellidae (Diptera: Oestroidea) in a Mangrove, Restinga, and Forest Landscapes From a Lagoon Complex on an Atlantic Forest Coastline (Rio de Janeiro, Brazil).

Diptera Mesembrinellidae present great ecological importance as potential bioindicators and Calliphoridae stand out for their medical-sanitary importance as potential vectors of pathogens and causes of human and animal diseases such as myiasis. They beneficially aid in elucidating crimes in forensic entomology, contributing to determine the postmortem interval (PMI) and assisting in the healing process of necrotic wounds in larval therapy. This study aimed to inventory the Calliphoridae and Mesembrinellidae fauna in order to evaluate structural parameters and to apply faunal indexes in catching species in the Itaipu-Piratininga lagoon complex, in Niterói (Rio de Janeiro), Brazil.

Turning cacay butter and wheat bran into substrate for lipase production by NRRL-255.

Cacay oil and butter were evaluated as enzymatic inducers for lipase production from NRRL-255 by solid-state fermentation (SSF). Initially, physicochemical characteristics of agro-industrial wastes were evaluated in order to identify a potential solid substrate for lipase production. Higher water absorption index (3.

Computational Analysis of Dipyrone Metabolite 4-Aminoantipyrine As A Cannabinoid Receptor 1 Agonist.

Background: Cannabinoid receptor 1 has its crystallographic structure available in complex with agonists and inverse agonists, which paved the way to establish an understanding of the structural basis of interactions with ligands. Dipyrone is a prodrug with analgesic capabilities and is widely used in some countries. Recently some evidence of a dipyrone metabolite acting over the Cannabinoid Receptor 1has been shown.

Exploring the Scoring Function Space.

In the analysis of protein-ligand interactions, two abstractions have been widely employed to build a systematic approach to analyze these complexes: protein and chemical spaces. The pioneering idea of the protein space dates back to 1970, and the chemical space is newer, later 1990s. With the progress of computational methodologies to create machine-learning models to predict the ligand-binding affinity, clearly there is a need for novel approaches to the problem of protein-ligand interactions.

Machine Learning to Predict Binding Affinity.

Recent progress in the development of scientific libraries with machine-learning techniques paved the way for the implementation of integrated computational tools to predict ligand-binding affinity. The prediction of binding affinity uses the atomic coordinates of protein-ligand complexes. These new computational tools made application of a broad spectrum of machine-learning techniques to study protein-ligand interactions possible.