Carrilloherskind7047

Quantification of osteoclasts to assess bone resorption is a time-consuming and tedious process. Since the inception of bone histomorphometry and manual counting of osteoclasts using bright-field microscopy, several approaches have been proposed to accelerate the counting process using both free and commercially available software. However, most of the present alternatives depend on manual or semi-automatic color segmentation and do not take advantage of artificial intelligence (AI). The present study directly compare estimates of osteoclast-covered surfaces (Oc.S/BS) obtained by the conventional manual method using a bright-field microscope to that obtained by a new AI-assisted method. We present a detailed step-by-step guide for the AI-based method. Tibiae from Wistar rats were either enzymatically stained for TRAP or immunostained for cathepsin K to identify osteoclasts. We found that estimation of Oc.S/BS by the new AI-assisted method was considerably less time-consuming, while still providing similar results to the conventional manual method. In addition, the retrainable AI-module used in the present study allows for fully automated overnight batch processing of multiple annotated sections.•Bone histomorphometry•AI-assisted osteoclast identification•TRAP and cathepsin K.Within behavioral neuroscience, subjects used to be randomly assigned to the experimental groups based on the premise that interindividual variability will be homogeneously distributed. However, the equivalence offered by randomization diminishes in small samples, which is the case for most experiments in the field. In rodents, it is well-recognized that individual differences in psychomotor reactivity, risk-assessment behaviors, and emotional responsiveness modulate the effects of different pharmacological and non-pharmacological treatments. For that reason, knowing such differences before the experiment provides highly valuable information for balancing the groups so that the interindividual variability is equally distributed within the groups without excluding subjects as far as possible. Because unconditioned anxiety tests such as the open-field (OF) and the elevated plus-maze are commonly used within experimental procedures, we developed a strategy to explore the rat's behavioral phenotype by assessing it in a very innocuous testing context a housing cage.•We offer a very straightforward protocol for assessing spontaneous, novelty-induced reactivity in rodents.•We describe its implementation, analysis, and use, as well as some suggestions about key behavioral readouts for the group allocation procedure.•The current protocol provides an alternative strategy to assess a reasonably wide range of behavioral outcomes, most of which are of great interest in modeling different neuropsychiatric disorders.Microfluidic chips provide versatile tools to mimic the biological effect of blood flow on pluripotent stem cells (PSC). This paper presents methods for the use of microfluidics to model embryonic circulation using differentiated PSC. Pulsatile circulatory flow is created with a microfluidics device with pressure-driven microvalves and ventricles. Silicone rubber devices are cast from moulds manufactured using standard and 3D laser lithography. The surface chemistry is modified to support the growth of human umbilical vein endothelial cells and pluripotent stem cells. Pulsatile circulatory fluid flow can be applied at specific stages of cell differentiation with direct observation of cellular responses by time-lapse fluorescent microscopy.•Replicable manufacturing protocol of lab scale microfluidic device generating pulsatile fluid flow mimicry embryonic blood circulation.•Integration of human cell lines on microfluidic chip.The gas compression plant is a core and major unit in oil and gas industries that have high gas oil ratio or considerable gas production. Compressed gas is needed as fuel, support processing handling, increase reservoir builds up pressure by gas injection as well as a useful product. Gas plants are critical and dangerous working location and it is classified as a critical zone due to circumstance parameters like high pressure, high temperature, gas specifications and the potential to impact to human health, safety, environment and possibility to impact invested revenues in case of incidents. Therefore, all recorded compression plant operational failures shall be assessed and reviewed in order to decrease the unit down time and increase plant safety and efficiency. In general, limited studies were conducted in gas plant maintenance management. This paper studied a working gas compression unit in an operating oil and gas field in order to present the followings • A model of failures raking and sorting in gas compression plants based on total down time importance (TDTI) grouping. • A model of failures ranking by using the risk priority number (RPN). RPN is giving priorities based on associated risk and TDTI as a new method is providing rankings based on maximum contribution to the total occurred down time. Therefore, the study is elaborating to demonstrate these two methods and highlighted the areas of difference which need attention of the owner and the site working team.In Barcelona, Advanced Stop Lines (ASL) for motorcycles, were implemented since 2009. This paper aims to describe the process followed in determining the best statistical model to analyse the effectiveness of ASL in preventing road traffic injury collisions. A quasi-experimental design of an evaluation study of an intervention with comparison group was performed.•The starting model is the Poisson regression model, including type of area (ASL, comparison zone), period (pre and post-intervention), linear trend of the number of collisions, period and type of area interaction, as explanatory variables.•Various models are tested to correct existing overdispersion in the starting model Poisson -Lognormal, Poisson- Gamma, Zero-Inflated Poisson, Zero-Inflated Negative Binomial, Hurdle model with Poisson distribution and with Negative Binomial distribution. To select the best model the Akaike Information Criterion is used. The final model is the Poisson-lognormal, adding the area as random factor (for each area repeated measures for different years are available).•The coefficients of the model parameters are interpreted in terms of relatives risks (RR), and the percentage change in the number of collisions is estimated in the post regards the pre-intervention period, from the RRs (- (1-RR)), to quantify the impact of ASL. The interaction allows assessment of whether the effect of the intervention differed between ASL and comparison zones.The blood-brain barrier (BBB) is the major obstacle for brain drug delivery and limits the treatment options for central nervous system diseases. To circumvent the BBB, we introduce focused ultrasound-mediated intranasal brain drug delivery (FUSIN). FUSIN utilizes the nasal route for direct nose-to-brain drug administration, bypassing the BBB and minimizing systemic exposure to the major organs, such as heart, lung, liver, and kidney [1]. It also uses transcranial ultrasound energy focused at a targeted brain region to induce microbubble cavitation, enhancing the transport of intranasally administered agents at the FUS-targeted brain location. FUSIN is unique because it can achieve noninvasive and localized brain drug delivery with minimized systemic toxicity to other major organs. The goal of this paper is to provide a detailed protocol for FUSIN delivery to the mouse brain.•FUSIN delivery utilizes the nose-to-brain pathway for brain drug delivery.•FUSIN utilizes FUS combined with microbubble to significantly enhance the delivery efficiency of intranasally administered drugs to the FUS targeted brain regions.•FUSIN achieves efficient brain delivery with minimized systemic exposure in the major organs.Traditional methods of quantifying osteoblast calcification in culture require the use of calcium sensitive dyes, such as Arsenazo III or Alizarin Red S, which have been successfully used for decades to assess osteogenesis. Because these dyes elicit a colorimetric change when reacted with a cell lysate and are cytotoxic to live cells, they forfeit the ability to trace calcification longitudinally over time. Here, we demonstrate that image analysis and quantification of calcification can be performed from a series of time-lapse images acquired from videos. This method capitalizes on the unique facet of the mineralized extracellular matrix to appear black when viewed with phase contrast optics. This appearance of calcified areas had been previously documented to be characteristic to the formation of bone nodules in vitro. Due to this distinguishable appearance, extracting the information corresponding to calcification through segmentation allowed us to threshold only the pixels that comprise the mineralized areas in the image. Ultimately, this method can be used to quantify calcification yield, rates and kinetics facilitating the analyses of bone-supportive properties of growth factors and morphogens as well as of adverse effects elicited by toxicants. It may also be used on images that were acquired manually.•The method is less error-prone than absorption-based assays since it takes longitudinal measurements from the same cultures•It is cost effective as it foregoes the use of calcium-sensitive dyes•It is automatable and amenable to high-throughput and thus allows the concurrent quantification of multiple parameters of differentiation.Eponyms are common in medicine; however, their usage has varied between specialties and over time. A search of specific eponyms will reveal the frequency of usage within a medical specialty. While usage of eponyms can be studied by searching PubMed, manual searching can be time-consuming. As an alternative, we modified an existing Biopython method for searching PubMed. In this method, a list of disease eponyms is first manually collected in an Excel file. T-5224 price A Python script then creates permutations of the eponyms that might exist in the cited literature. These permutations include possessives (e.g., 's) as well as various forms of combining multiple surnames. PubMed is then automatically searched for this permutated library of eponyms, and duplicate citations are removed. The final output file may then be sorted and enumerated by all the data fields which exist in PubMed. This method will enable rapid searching and characterization of eponyms for any specialty of medicine. This method is agnostic to the type of terms searched and can be generally applied to the medical literature including non-eponymous terms such as gene names and chemical compounds.•Custom Python scripts using Biopython's Bio.Entrez module automate the search for medical eponyms.•This method can be more broadly used to search for any set of terms existing in PubMed.Hydrochar, as an energy-lean solid waste, is generated from an advanced biofuel conversion technique hydrothermal liquefaction (HTL) and always leads to environmental pollution without appropriate disposal. In this study, HTL-derived hydrochar is recycled and prepared as adsorbent used for Pb(Ⅱ) removal from wastewater. As the original porous structure of hydrochar is masked by oily volatiles remained after HTL, two types of oil-removal pretreatment (Soxhlet extraction and CO2 activation) are explored. The result shows that CO2 activation significantly enhances the adsorption capacity of Pb(Ⅱ), and the maximum adsorption capacity is 12.88 mg g-1, as evaluated using Langmuir adsorption model. Further, apart from oily volatiles, most inorganic compounds derived from wastewater-grown algae is enriched in hydrochar, causing a smaller surface area of hydrochar. An ash-removal alkali treatment following CO2 activation is introduced to dramatically increase the adsorption capacity to 25.00 mg g-1 with an extremely low Pb(II) equilibrium concentration of 5.