The Effects of Parental Incarceration on the School Behavior of Poor Urban Black Children

Children whose parents are incarcerated experience emotional traumas that are harmful to their social competence and overall well-being. When parents go to prison, children’s lives become traumatic, distressed, and unstable. Young children who are unable to articulate their emotional distress instead manifest disruptive behaviors in school. Poor black children who display disruptive behaviors in school are at especially high-risk for exclusionary discipline practices, such as suspension and expulsion. These practices have been shown to negatively impact the development of their social and emotional competence and further impede their academic achievement. The HOPE Project was a 3-year pilot project that provided school-based therapeutic services to black children with incarcerated parents. The children were enrolled in three elementary schools located in an urban, poverty-impacted community. Program evaluation findings suggest that intense age-appropriate therapy conducted in schools is a helpful intervention for reducing negative in-school behaviors and increasing the social and emotional competence of poor, urban black children to keep them engaged in school. The findings have important implications for social work practice in the school setting with children who have parents that are incarcerated

Maize (Zea mays L) cultivars nutrients concentration in leaves and stalks

There is pressure for crop residue removal for use as biofuel, animal feed, animal bedding and many other func¬tions which may increase nutrient export. However, there is little information about nutritional composition of maize stover considering the wide variability of cultivars used. The aim of this study was to evaluate the influence of maize cultivar on macronutrient (P, K, Ca, and Mg), micronutrient (Fe, Mn, Zn, and Cu) and Na concentration in leaves and stalks. We selected five pairs of cultivars, ranging from creole to high potential hybrid (creole, commer¬cial variety, single, double and triple cross hybrid). The cultivars were cropped under field conditions in high fertile Rhodic Ferralsol Eutric during two growing seasons. The first was characterized by severe drought (2005/2006) while the second with an abundant water supply (2006/2007). The leaf and stalk concentrations of P, K, Ca, Mg, Fe, Mn, Na, Zn, Cu, and C/P ratio were quantified at maturation stage. The results indicated that the P concen¬tration in leaves and stalks was inversely related to the technological level when simple hybrid was compared to creole cultivars. Similar behavior was observed for K in the leaf and stalk tissues. For Ca, Mg, Fe, Mn, Zn, Cu, and Na, it was not possible to establish the influence of maize selection. The C/P ratio of leaves and stalks underwent influence of the technological level with high values for simple hybrids. Maize selection seems to decrease P and K concentration for two major residue fractions, leaves and stalks

Demand Responsive Transport: is Milton Keynes developing a post-Covid revolution in public transport?

Recently there has been a renewed interest in Demand Responsive Transport (DRT) and related service offerings as a system that can serve 21st century patterns of dispersed low-density travel. Numerous attempts have been made to introduce forms of DRT, but despite some limited applications, DRT has largely stalled amidst technological, regulatory, and economic barriers. Significantly, the impetus for DRT is now from technology-led companies that have already impacted upon taxi operations and have ambitions to develop their products and markets taking them into mainstream public transport, and some more innovative UK authorities are developing partnerships with these new digital technology operators. This has been accelerated by the pandemic creating uncertainty about how public transport use will change, coupled with local authorities seeking economic and social recovery amidst financial pressures on public transport support. This paper reports some results from an in-depth case study of one city’s radical shift towards replacing conventional bus routes with DRT. This is the partnership between the commercial DRT operator, Via, and Milton Keynes Council. In autumn 2020 an area served by one Council supported bus route was converted to DRT and from April 2021 eleven other supported routes in Milton Keynes were replaced with DRT, run by Via and largely operated using electric vehicles. With a growing fleet of 26 vehicles covering the whole of Milton Keynes Borough, this represents the most widespread urban DRT application in the UK. This paper draws on documentary evidence, operational data and in-depth interviews with key stakeholders, focussing on the operational, business and policy aspects of the system and how it may develop. Key public policy issues are identified in the cost-effective use of DRT, user adaptations and understandings needed, the partners and expertise required, and practices and relationships needed between actors for DRT to have a socially transformative effect on how public transport is provided and is used

Benchmarking outcomes on multiple contextual levels in lean healthcare : a systematic review, development of a conceptual framework, and a research agenda

Background Reliable benchmarking in Lean healthcare requires widely relevant and applicable domains for outcome metrics and careful attention to contextual levels. These levels have been poorly defined and no framework to facilitate performance benchmarking exists. Methods We systematically searched the Pubmed, Scopus, and Web of Science databases to identify original articles reporting benchmarking on different contextual levels in Lean healthcare and critically appraised the articles. Scarcity and heterogeneity of articles prevented quantitative meta-analyses. We developed a new, widely applicable conceptual framework for benchmarking drawing on the principles of ten commonly used healthcare quality frameworks and four value statements, and suggest an agenda for future research on benchmarking in Lean healthcare. Results We identified 22 articles on benchmarking in Lean healthcare on 4 contextual levels: intra-organizational (6 articles), regional (4), national (10), and international (2). We further categorized the articles by the domains in the proposed conceptual framework: patients (6), employed and affiliated staff (2), costs (2), and service provision (16). After critical appraisal, only one fifth of the articles were categorized as high quality. Conclusions When making evidence-informed decisions based on current scarce literature on benchmarking in healthcare, leaders and managers should carefully consider the influence of context. The proposed conceptual framework may facilitate performance benchmarking and spreading best practices in Lean healthcare. Future research on benchmarking in Lean healthcare should include international benchmarking, defining essential factors influencing Lean initiatives on different levels of context; patient-centered benchmarking; and system-level benchmarking with a balanced set of outcomes and quality measures.Peer reviewe

Processing GPS Occultation Data To Characterize Atmosphere

GOAS [Global Positioning System (GPS) Occultation Analysis System] is a computer program that accepts signal-occultation data from GPS receivers aboard low-Earth-orbiting satellites and processes the data to characterize the terrestrial atmosphere and, in somewhat less comprehensive fashion, the ionosphere. GOAS is very robust and can be run in an unattended semi-operational processing mode. It features sophisticated retrieval algorithms that utilize the amplitudes and phases of the GPS signals. It incorporates a module that, using an assumed atmospheric refractivity profile, simulates the effects of the retrieval processing system, including the GPS receiver. GOAS utilizes the GIPSY software for precise determination of orbits as needed for calibration. The GOAS output for the Earth s troposphere and mid-to-lower stratosphere consists of high-resolution (<1 km) profiles of density, temperature, pressure, atmospheric refractivity, bending angles of signals, and water-vapor content versus altitude from the Earth s surface to an altitude of 30 km. The GOAS output for the ionosphere consists of electron-density profiles from an altitude of about 50 km to the altitude of a satellite, plus parameters related to the rapidly varying structure of the electron density, particularly in the E layer of the ionosphere

Parallel CRISPR-Cas9 screens clarify impacts of p53 on screen performance

CRISPR-Cas9 genome engineering has revolutionised high-throughput functional genomic screens. However, recent work has raised concerns regarding the performance of CRISPR-Cas9 screens using TP53 wild-type human cells due to a p53-mediated DNA damage response (DDR) limiting the efficiency of generating viable edited cells. To directly assess the impact of cellular p53 status on CRISPR-Cas9 screen performance, we carried out parallel CRISPR-Cas9 screens in wild-type and TP53 knockout human retinal pigment epithelial cells using a focused dual guide RNA library targeting 852 DDR-associated genes. Our work demonstrates that although functional p53 status negatively affects identification of significantly depleted genes, optimal screen design can nevertheless enable robust screen performance. Through analysis of our own and published screen data, we highlight key factors for successful screens in both wild-type and p53-deficient cells

Failure Simulation Testing of the Z-1 Spacesuit Titanium Bearing Assemblies

No abstract availabl

pyGPI5: A python D- and E-region chemistry and ionization model

We present a Python implementation of a D- and E-region chemistry and ionization code called pyGPI5. Particle precipitation that penetrates into the E- and D-region of the ionosphere-thermosphere causes significant enhancements of the electron density. Dissociative recombination of molecular ions with electrons is the primary electron loss mechanism in the E-region, down to approximately 85 km. However, below 85 km, chemical processes become significantly more complicated with positive and negative ions being generated in addition to electrons. The complex D-region ion chemistry has been known for many decades. We present a formulation to quantify the concentrations of four ion species composed of positive and negative, light and heavy ions, and the electrons. The implementation we describe in this investigation solves five ordinary stiff differential equations simultaneously. We present an overview of the code, along with discussions of the reaction rates, and assumptions used in the model. We describe an implementation of the electron transport model to quantify the altitude ionization profile caused by energetic particle precipitation. We show how to instantiate the model, generate the ion and electron profiles as a function of altitude for background conditions, how to generate altitude ionization profiles, and running the code to produce ion and electron profiles caused by energetic particle precipitation. Recent investigations that have used a D-region chemistry model are discussed, along with some applications. &nbsp;</p