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Detection of COVID-19 manifestations in lung ultrasound (US) images has gained attention in recent times. The current state-of-the-art technique for distinguishing a healthy lung from COVID-19 infected or bacterial pneumonia infected lung uses non-adjacent frames or equally spaced frames from the video. However, the frame content or correlation between the selected frames has not been taken into consideration for frame selection. In this paper, a metric-based frame selection approach is proposed for three-way classification of lung US videos, and the influence of the frame selection method on image classification accuracy is studied. A deep learning model comprising of a pre-trained model (VGG16) for feature extraction, multi-head attention for feature calibration, global averaging for feature reduction, and a dense layer for classification is proposed. The pre-trained model is re-trained using cross-entropy loss with balanced weights to handle class imbalance. Two types of classification approaches are considered: i) few frames in a video are selected using the proposed metrics; and (ii) all frames in a video are considered. With VGG16 as the pre-trained model, a mean balanced sensitivity of COVID-19, bacterial pneumonia, and healthy classes with 0.82, 0.89, and 0.87, respectively was achieved using 5-fold cross-validation. The results show that even random selection of frames performs better than fixed frame selection and the proposed frame selection method outperforms the state-of-art fixed frame selection irrespective of the type of backbone model used for lung US classification.

Abstract Previously, in small scale demonstrations, researchers have increased photovoltaic efficiency through cooling by enhancing heat transfer from panels to the air through wind speed. Here I show in the real-world operation of a larger scale photovoltaic generator that increases in wind speed can lead to small but notable energy losses, reflected in the mismatch losses directly derived from the operating voltage of each module. Temperature distribution was measured simultaneously with the operating voltages, alongside the local wind speed and direction. Temperature differences arose from the variable heat transfer throughout the panel, depending on the wind incidence. This affected the operating temperature of each module, consequently affecting their operating voltage and the overall mismatch losses with losses increasing by up to 0.28%. My results suggest that wind patterns cannot be neglected, considering long-term energy estimations and the lifespan of a photovoltaic power plant.

ObjectiveAlthough there have been remarkable achievements in the molecular landscape of oral squamous cell carcinoma (OSCC) in recent years, bringing advances in the understanding of its pathogenesis, development and progression, little has been applied in the prognosis and choosing the optimal treatment. In this study, we explored the influence of the stress induced phosphoprotein 1 (STIP1), which is frequently reported to be highly expressed in many cancers, in OSCCs.MethodsSTIP1 expression was assessed in the TCGA database and in two independent cohorts by immunohistochemistry. Knockdown strategy was applied in OSCC cell lines to determine the impact of STIP1 on viability, proliferation, migration and invasion. The zebrafish model was applied for studying tumor formation and metastasis in vivo. The association of STIP1 and miR-218-5p was explored by bioinformatics and mimics transfection.ResultsSTIP1 was highly expressed in OSCCs and significantly associated with shortened survival and higher risk of recurrence. STIP1 down-regulation decreased proliferation, migration and invasion of tumor cells, and reduced the number of metastases in the Zebrafish model. STIP1 and miR-218-5p were inversely expressed, and the transfection of miR-218-5p mimics into OSCC cells decreased STIP1 levels as well as proliferation, migration and invasion.ConclusionOur findings show that STIP1 overexpression, which is inversely associated with miR-218-5p levels, contributes to OSCC aggressiveness by controlling proliferation, migration and invasion and is a determinant of poor prognosis.

Understanding macrophage biology can improve comprehension of diverse biological processes and provide insights into novel therapeutic immunomodulatory strategies. Due to limited yield and technical difficulty in isolating primary macrophages, in vitro studies commonly use monocytes as precursor cells. Monocytic cell lines are a virtually unlimited source of macrophage precursors and two of the most frequently used cell lines are THP-1 and U937. Besides a great variability in macrophage differentiation protocols there is scarce information on possible differences in the biological responses of these cell lines. In this study, we used a standardized differentiation protocol using PMA and compared the response of macrophages derived from THP-1 and U937 cells to M1-and M2-polarizing conditions. THP-1-derived macrophages are more responsive to M1 stimuli and skewed towards M1 phenotype, whereas U937-derived macrophages were more responsive to M2 stimuli and skewed towards M2 phenotype. THP-1-derived macrophages also had greater production of ROS and phagocytic activity. Under M1-polarizing conditions, macrophages derived from both THP-1 and U937 reduced phagocytosis activity and the increased production of ROS. This information should be considered to make an informed choice on the cell line used as in vitro macrophage model, according to the experimental goals and biological context.

Chalcones are phenolic compounds produced during the biosynthesis of flavonoids that have numerous biological activities, including anti-inflammatory, antioxidant and anticancer. In this in vitro study, we investigate a newly synthesized chalcone (Chalcone T4) in the context of bone turnover, specifically on the modulation of osteoclast differentiation and activity and osteoblast differentiation. Murine macrophages (RAW 264.7) and pre-osteoblasts (MC3T3-E1) were used as models of osteoclasts and osteoblasts, respectively. Differentiation and activity osteoclasts were induced by RANKL in the presence and absence of non-cytotoxic concentrations of Chalcone T4, added in different periods during osteoclastogenesis. Osteoclast differentiation and activity were assessed by actin ring formation and resorption pit assay, respectively. Expression of osteoclast-specific markers (Nfatc1, Oscar, Acp5, Mmp-9 and Ctsk) was determined by RT-qPCR, and the activation status of relevant intracellular signaling pathways (MAPK, AKT and NF-kB) by Western blot. Osteoblast differentiation and activity was induced by osteogenic culture medium in the presence and absence of the same concentrations of Chalcone T4. Outcomes assessed were the formation of mineralization nodules via alizarin red staining and the expression of osteoblast-related genes (Alp e Runx2) by RT-qPCR. Chalcone T4 reduced RANKL-induced osteoclast differentiation and activity, suppressed Oscar, Acp5 and Mmp-9 expression, and decreased ERK and AKT activation in a dose-dependent manner. Nfact1 expression and NF-kB phosphorylation were not modulated by the compound. Mineralized matrix formation and the expression of Alp and Runx2 by MC3T3-E1 cells were markedly stimulated by Chalcone T4. Collectively, these results demonstrate that Chalcone T4 inhibits in osteoclast differentiation and activity and stimulates osteogenesis, which indicates a promising therapeutic potential in osteolytic diseases.

Abstract: Modified formulations of calcium silicate repair materials with additives have been developed to enhance handling, consistency, biocompatibility and bioactivity. Considering the relevance of osteoblastic cell response to mineralized tissue repair, human osteoblastic cells (Saos-2 cells overexpressing BMP-2) were exposed to mineral trioxide aggregate (MTA) (with calcium tungstate - CaWO4), MTA HP Repair, Bio-C Repair and Bio-C Pulpo. Cell viability was assessed by 3-(4,5-dimethylthiazol)-2,5-diphenyltetrazolium bromide (MTT) and neutral red (NR), and cell death, by flow cytometry. Gene expression of bone morphogenetic protein 2 (BMP-2), runt-related transcription factor 2 (RUNX-2), and alkaline phosphatase (ALP) osteogenic markers were evaluated by real-time polymerase chain reaction (RT-qPCR). ALP activity and alizarin red staining (ARS) were used to detect mineralization nodule deposition. Bioactive cements presented no cytotoxic effect, and did not induce apoptosis at the higher dilution (1:12). MTA, Bio-C Repair and Bio-C Pulpo exhibited higher ALP activity than the control group (P < 0.05) after 7 days. MTA, MTA HP and Bio-C Pulpo affected the formation of mineralized nodules (p < 0.05). Exposure to all cement extracts for 1 day increased BMP-2 gene expression. RUNX-2 mRNA was greater in MTA, MTA HP and Bio-C Repair. MTA, MTA HP and Bio-C Pulpo increased the ALP mRNA expression, compared with BMP-2 unexposed cells (P < 0.05). Calcium silicate cements showed osteogenic potential and biocompatibility in Saos-2 cells transfected BMP-2, and increased the mRNA expression of BMP-2, RUNX-2, and ALP osteogenic markers in the BMP-2 transfected system, thereby promoting a cellular response to undertake the mineralized tissue repair.