Influence of Particle Size and Extraction Methods on Phenolic Content and Biological Activities of Pear Pomace

The main goal of this research was to investigate how particle size influences the characteristics of pear (Pyrus Communis L.) pomace flour and to examine the impact of different pre-treatment methods on the phenolic content and associated bioactivities. Pear pomace flour was fractionated into different particle sizes, namely 1 mm, 710 m, 180 m, 75 m and 53 m. Then two extraction methods, namely maceration with methanol and two-step extraction with hexane via Soxhlet followed by ultrasound extraction with methanol, were tested. Total phenolic and total flavonoid contents ranged from 375.0 to 512.9 mg gallic acid/100 g DW and from 24.7 to 34.6 mg quercetin/100 g DW, respectively. Two-step extraction provided antioxidant activity up to 418.8 (in FRAP assay) and 340.0 mg Trolox/100 g DW (in DPPH assay). In order to explore various bioactive properties, this study assessed the inhibitory effects of enzymes, specifically -amylase and -glucosidase (associated with antidiabetic effects), as well as angiotensin-converting enzyme (linked to potential antihypertensive benefits). Additionally, the research investigated antibacterial potential against both Gram-negative (E. coli) and Gram-positive (S. aureus) bacteria, revealing significant results (p < 0.05), particularly in the case of the two-step extraction method. This investigation underscores the substantial value of certain food industry wastes, highlighting their potential as bioactive ingredients within the framework of a circular economy.info:eu-repo/semantics/publishedVersio

Cervical Ripening for Induction of Labor

Decrease in Cervidil use for cervical ripening by 20% of anticipated doses prior to Dec 1, 2018 (6 mos) , with a potential for cost savings = 40 doses x approx. $2000/dose =$80,000

Versatile Phase Transfer Method for the Efficient Surface Functionalization of Gold Nanoparticles: Towards Controlled Nanoparticle Dispersion in a Polymer Matrix

In electronic devices based on hybrid materials such as nonvolatile memory elements (NVMEs), it is essential to control precisely the dispersion of metallic nanoparticles (NPs) in an insulating polymer matrix such as polystyrene in order to control the functionality of the device. In this work the incorporation of AuNPs in polystyrene films is controlled by tuning the surface functionalization of the metallic nanoparticles via ligand exchange. Two ligands with different structures were used for functionalization: 1-decanethiol and thiol-terminated polystyrene. This paper presents a versatile method for the modification of gold nanoparticles (AuNPs) with thiol-terminated polystyrene ligands via phase transfer process. An organic colloid of AuNPs (5±1 nm diameter) is obtained by the phase transfer process (from water to toluene) that allows exchanging the ligand adsorbed on AuNPs surface (hydrophilic citrate/tannic acid to hydrophobic thiols). The stability, size distribution, and precise location of modified AuNPs in the polymer matrix are obtained from UV-Vis spectroscopy, dynamic light scattering (DLS), and electron tomography. TEM tomographic 3D imaging demonstrates that the modification of AuNPs with thiol-terminated polystyrene results in homogeneous particle distribution in the polystyrene matrix compared to 1-decanethiol modified AuNPs for which a vertical phase separation with a homogeneous layer of AuNPs located at the bottom of the polymer matrix was observed.This work was supported by FP7-NMP-2010-SMALL-4 Program (“Hybrid Organic/Inorganic Memory Elements for Integration of Electronic and Photonic Circuitry,” HYMEC), Project no. 263073. Eric Gonthier is acknowledged for technical support in the preparation of hybrid thin films. Scientific work was supported by the Polish Ministry of Science and Higher Education Funds for Science in 2011–2014 allocated for the cofunded international project

Mother Baby Discharge Process

Problem/Impact Statement: MMC\u27s 32-bed Mother Baby Unit is experiencing backed up flow due to high volume and patients not being discharged quickly enough. The current average discharge time on Mother Baby and the Newborn Nursery is 1:36pm. The Mother baby unit has 32 beds, is staffed by 8-9 nurses, and has average discharge of 91 patients a week

Dialogic data innovations for sustainability transformations and flood resilience: the case for waterproofing data

Extreme weather events are becoming more frequent and have increasing impacts, which disproportionately affect marginalised and impoverished communities. This article proposes and assesses a new methodological approach for developing innovative solutions based on urban data analytics to address sustainability challenges in light of changing climate conditions. The approach draws inspiration from Paulo Freire's dialogic pedagogy and has been implemented in the international transdisciplinary project “Waterproofing Data”, with multiple study sites in Brazil. The project has introduced three methodological interventions: making data practices visible, engaging citizens and communities with data, and sharing data stories. Our study demonstrates that these methods have expanded the types of data used in flood risk management and have engaged a wider range of social groups in the generation, circulation, and utilization of data. We present a framework that provides guidance about the ways in which data innovations can contribute to transformative change, aiming to ensure that future development trajectories are just, inclusive, and equitable. The findings provide evidence that our approach not only helps fill existing data gaps and promote more equitable flood risk governance but also democratises decision-making in climate adaptation. Citizens were empowered to take proactive measures to improve resilience to disaster risks, thereby saving lives and safeguarding livelihoods

The role of data in transformations to sustainability : a critical research agenda

This article investigates the role of digital technologies and data innovations, such as big data and citizen-generated data, to enable transformations to sustainability. We reviewed recent literature in this area and identified that the most prevailing assumption of work is related to the capacity of data to inform decision-making and support transformations. However, there is a lack of critical investigation on the concrete pathways for this to happen. We present a framework that identifies scales and potential pathways on how data generation, circulation and usage can enable transformations to sustainability. This framework expands the perspective on the role and functions of data, and it is used to outline a critical research agenda for future work that fully considers the socio-cultural contexts and practices through which data may effectively support transformative pathways to sustainable development