Determination of Chemical, Nutritional and Fermentation Properties of Citrus Pulp Silages

This study was carried out to investigate the possibilities of making silage from fruit juice industry waste.For this purpose, orange, lemon and tangerine pulp silage quality have been determined by comparing silage with maize and beet pulp silage.Treatment groups; 1) orange, 2) tangerine, 3) lemon, 4) maize and 5) sugar beet pulp. The silages were evaluated after 2 months from ensiling in the following areas: subjective evaluation, pH, dry matter, organic matter, crude protein, acid detergent fiber, neutral detergent fiber, ether extract and energy values (metabolizable energy) and net energy for lactation were calculated. As a result, it was determined that fruit juice industry residues were lower in terms of dry matter, but they contained higher energy due to their high organic matter content, digestibility and low cellulose content. In addition, it was determined that citrus pulp was evaluated as silage without any contribution

P2: Image Analysis and Quantification of 3D Cancer Cell Migration

Metastatic tumors are known for their ability to migrate toward circulatory apparatus and detach from the primary tumor. Generally, metastasis is quantified in vitro using migration assays that are normally measured in two dimensions (2D). Threedimensional (3D) migration assays can better mimic cancers by providing similar microenvironments to those observed in vivo. Imaging 3D cell cultures requires multiple 2D images stacked along a Z-axis; however, imaged cells would be in-focus at varied z-positions at different time points due to the characteristics of cell migration. Our goal in this study was to analyze in-focus cell images and quantify cell migration in 3D in high throughput. Briefly, Hep3B human hepatoma cell line in alginate was printed on top of a layer of chemoattractants in a microwell chip and cultured over time to model hepatocellular carcinoma. Acquired cell images were analyzed using a Fast Fourier Transform (FFT) to create a histogram of pixel brightness variation within an image. We selected a specific frequency range that would correspond to a sharp change in pixel brightness, a spheroid\u27s edge, while the rest was subtracted to delete out-of-focus cells. In-focus cell images were recreated by reverse FFT, and ImageJ macros have been used to calculate the brightness of each corrected image in our 3D culture. By correlating pixel brightness to cell number, it allowed us to calculate the average position of all the cells in our 3D culture, based on brightness and z-position of the cell image. By measuring the change in average position over time, we created a quantifiable method to measure cell migration in 3D.https://engagedscholarship.csuohio.edu/u_poster_2017/1054/thumbnail.jp

Barriers to BIM implementation in the HVAC industry: an exploratory study

In recent times, the rise of urbanization, industrialization, population growth, food security, and the COVID-19 pandemic have led to an increased demand for indoor spaces with efficient air conditioning systems. As a result, there is a growing interest in creating more complex HVAC systems to improve indoor spaces. Building information modeling (BIM) offers numerous benefits to the HVAC industry, such as clash detection, budget and time reductions, and increased efficiency. However, its implementation is currently hindered by various challenges. This research aims to identify the major barriers to BIM implementation in the HVAC industry in Turkey, using a questionnaire survey of 224 domain experts working in 42 different companies across various fields of the HVAC industry. The study utilized several statistical analyses to categorize and prioritize the most critical barriers, including reliability tests, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), the Kaiser–Meyer–Olkin (KMO) test, Bartlett’s test, and ranking of factors (IRI). The results indicate that the “Deficiencies of Infrastructure and Lack of Qualified Personnel (DIP)” factor group constituted the most significant barrier, followed by “Lack of Documentation and Specifications (LDS)”, “Deficiencies of Case Studies and Project Drawings (DCP)”, and “Lack of Motivation and Resistance to BIM (LMR)”. Moreover, our research revealed that 60% of the participants’ companies allocate less than 40% of their budgets to technological infrastructure, which hinders the adoption of BIM. To promote BIM in the HVAC sector, we recommend enhancing personnel capacity building, improving skills and knowledge about BIM, promoting guidelines, and providing free access to documentation for practitioners

Nurses' perceptions of aids and obstacles to the provision of optimal end of life care in ICU

Contains fulltext : 172380.pdf (publisher's version ) (Open Access