Electrochemical intercalation and electrical conductivity of graphite fibers

Lamellar compounds of graphite fibers were prepared by electrochemical intercalation. The dependence of the electrical resistance on the intercalate concentration was determined by a quasi simultaneous method. A factor 30 decrease of the relative fiber resistance was obtained with fluorosulfuric acid

Strategies for Reducing Adverse Outcomes for Criminal Justice-Involved Populations

In the United States, we spend $81 billion taxpayer dollars annually on the costs of incarceration according to the Bureau of Justice Statistics, but including other costs may increase that estimate to$181 billion. Data from Worcester suggest that the cost of incarcerating individuals in the Piedmont neighborhood of Worcester eclipse the entire annual budget of the Division of Public Health in Worcester. With a hard line on petty crime, lack of substance use disorder treatment in jail and prison, concentrated policing and racial profiling in low income communities of color and poor reentry support services, mass incarceration is destined to continue. The opioid crisis in Massachusetts has affirmed that individuals with a history of incarceration and opioid use disorder are at greatest risk for nonfatal and fatal overdose. Furthermore, homelessness and serious mental illness increase that risk dramatically. In turn, the Governor and Secretary of Health and Human Services in concert with the Massachusetts Medicaid Program, the Department of Public Health and the Trial courts have undertaken a multi-pronged strategy to mitigate those risks. This panel will present three interventions to improve those outcomes. Three panelists will describe and present findings on three studies completed and in process to reduce the health risks for justice-involved persons in Massachusetts. Dr. Ferguson will describe an implementation science study of four correctional systems which embarked on medication assisted therapies for opioid use disorder which has helped to inform current mixed methods research to study a pilot of medication assisted treatment in seven Massachusetts jails; Dr. Pivovarova will describe her study of health status for individuals participating in Drug Court, a diversionary program that mandates substance use disorder treatment in the community for individuals arrested for drug related offenses; and Ms. Dupuis will describe the MassHealth funded Behavioral Health Justice Involved project to provide returning citizens with navigators to assist them in linking to community-based treatment and to address social determinants of health such as housing and employment. During the presentations, attendees will be asked to formulate questions or reflections for discussion. These will be collected and prioritized by the moderator of the session for further discussion

Ti3SiC2-formation during Ti–C–Si multilayer deposition by magnetron sputtering at 650 °C

Titanium Silicon Carbide films were deposited from three separate magnetrons with elemental targets onto Si wafer substrates. The substrate was moved in a circular motion such that the substrate faces each magnetron in turn and only one atomic species (Ti, Si or C) is deposited at a time. This allows layer-by-layer film deposition. Material average composition was determined to Ti0.47Si0.14C0.39 by energy-dispersive X-ray spectroscopy. High-resolution transmission electron microscopy and Raman spectroscopy were used to gain insights into thin film atomic structure arrangements. Using this new deposition technique formation of Ti3SiC2 MAX phase was obtained at a deposition temperature of 650 °C, while at lower temperatures only silicides and carbides are formed. Significant sharpening of Raman E2g and Ag peaks associated with Ti3SiC2 formation was observed

Формирование структур в зонах термического влияния и механические свойства лазерного сварного соединения трубной стали 10Г2ФБЮ

Объектом исследования являются лазерные сварные соединения стали 10Г2ФБЮ, полученные на стали в горячекатаном состоянии и после поперечно-винтовой прокатки. Цель работы – исследование закономерностей формирования зон термического влияния под воздействием лазерной сварки в низкоуглеродистой стали 10Г2ФБЮ в разных структурных состояниях и оценка механических свойств полученных сварных соединений. Область применения:результаты работы могут иметь практическое использование в виде технологии получения качественных сварных соединений с помощью лазерной сварки труб из исследуемой стали. Значимость работы заключается в увеличении эксплуатации нефте- и газопроводов работающих в условиях низких температур.The object of research is laser welded joints of 10Mn2VNbAl steel, obtained on steel in a hot-rolled state and after cross-helical rolling. The purpose of the work is to study the formation of heat-affected zones under the influence of laser welding in low-carbon steel 10Mn2VNbAl in different structural states and evaluate the mechanical properties of the welded joints. Scope: the results of the work can have practical use in the form of technology for producing high-quality welded joints using laser welding of pipes from the studied steel. The significance of the work is to increase the operation of oil and gas pipelines operating at low temperatures

A brain network for deep brain stimulation induced cognitive decline in Parkinson's disease

Reich et al. show that DBS-induced cognitive decline is associated with connectivity between the stimulation site and a specific brain network implicated in lesion-induced memory impairment. Transforming this network into a heat map can help identify DBS patients at risk of delayed-onset side-effects and guide reprogramming efforts.Deep brain stimulation is an effective treatment for Parkinson's disease but can be complicated by side-effects such as cognitive decline. There is often a delay before this side-effect is apparent and the mechanism is unknown, making it difficult to identify patients at risk or select appropriate deep brain stimulation settings. Here, we test whether connectivity between the stimulation site and other brain regions is associated with cognitive decline following deep brain stimulation. First, we studied a unique patient cohort with cognitive decline following subthalamic deep brain stimulation for Parkinson's disease (n = 10) where reprogramming relieved the side-effect without loss of motor benefit. Using resting state functional connectivity data from a large normative cohort (n = 1000), we computed connectivity between each stimulation site and the subiculum, an a priori brain region functionally connected to brain lesions causing memory impairment. Connectivity between deep brain stimulation sites and this same subiculum region was significantly associated with deep brain stimulation induced cognitive decline (P < 0.02). We next performed a data-driven analysis to identify connections most associated with deep brain stimulation induced cognitive decline. Deep brain stimulation sites causing cognitive decline (versus those that did not) were more connected to the anterior cingulate, caudate nucleus, hippocampus, and cognitive regions of the cerebellum (P-FWE < 0.05). The spatial topography of this deep brain stimulation-based circuit for cognitive decline aligned with an a priori lesion-based circuit for memory impairment (P = 0.017). To begin translating these results into a clinical tool that might be used for deep brain stimulation programming, we generated a 'heatmap' in which the intensity of each voxel reflects the connectivity to our cognitive decline circuit. We then validated this heat map using an independent dataset of Parkinson's disease patients in which cognitive performance was measured following subthalamic deep brain stimulation (n = 33). Intersection of deep brain stimulation sites with our heat map was correlated with changes in the Mattis dementia rating scale 1 year after lead implantation (r = 0.39; P = 0.028). Finally, to illustrate how this heat map might be used in clinical practice, we present a case that was flagged as 'high risk' for cognitive decline based on intersection of the patient's deep brain stimulation site with our heat map. This patient had indeed experienced cognitive decline and our heat map was used to select alternative deep brain stimulation parameters. At 14 days follow-up the patient's cognition improved without loss of motor benefit. These results lend insight into the mechanism of deep brain stimulation induced cognitive decline and suggest that connectivity-based heat maps may help identify patients at risk and who might benefit from deep brain stimulation reprogramming

The relation between learners' experience in simulations and diagnostic accuracy: generalizability across medical and teacher education

Simulation-based learning is being increasingly implemented across different domains of higher education to facilitate essential skills and competences (e.g. diagnostic skills, problem-solving, etc.). However, the lack of research that assesses and compares simulations used in different contexts (e.g., from design perspective) makes it challenging to effectively transfer good practices or establish guidelines for effective simulations across different domains. This study suggests some initial steps to address this issue by investigating the relations between learners' experience in simulation-based learning environments and learners' diagnostic accuracy across several different domains and types of simulations, with the goal of facilitating cross-domain research and generalizability. The findings demonstrate that used learners' experience ratings are correlated with objective performance measures, and can be used for meaningful comparisons across different domains. Measures of perceived extraneous cognitive load were found to be specific to the simulation and situation, while perceived involvement and authenticity were not. Further, the negative correlation between perceived extraneous cognitive load and perceived authenticity was more pronounced in interaction-based simulations. These results provide supporting evidence for theoretical models that highlight the connection between learners' experience in simulated learning environments and their performance. Overall, this research contributes to the understanding of the relationship between learners’ experience in simulation-based learning environments and their diagnostic accuracy, paving the way for the dissemination of best practices across different domains within higher education

The Impact of the Physical Environment on Intrapartum Maternity Care: Identification of Eight Crucial Building Spaces.

OBJECTIVES, PURPOSE, OR AIM: This article investigates whether the physical environment in which childbirth occurs impacts the intrapartum intervention rates and how this might happen. The study explores the spatial physical characteristics that can support the design of spaces to promote the health and well-being of women, their supporters, and maternity care professionals. BACKGROUND: Medical interventions during childbirth have consequences for the health of women and babies in the immediate and long term. The increase in interventions is multifactorial and may be influenced by the model of care adopted, the relationships between caregivers and the organizational culture, which is made up of many factors, including the built environment. In the field of birth architecture research, there is a gap in the description of the physical characteristics of birth environments that impact users' health. METHOD: A scoping review on the topic was performed to understand the direct and indirect impacts of the physical environment on birth intervention rates. RESULTS AND DISCUSSION: The findings are organized into three tables reporting the influence that the physical characteristics of a space might have on people's behaviors, experiences, practices and birth health outcomes. Eight building spaces that require further investigation and research were highlighted: unit layout configuration, midwives' hub/desk, social room, birth philosophy vectors, configuration of the birth room, size and shape of the birth room, filter, and sensory elements. CONCLUSIONS: The findings show the importance of considering the physical environment in maternity care and that further interdisciplinary studies focused on architectural design are needed to enrich the knowledge and evidence on this topic and to develop accurate recommendations for designers

On strong causal binomial approximation for stochastic processes

This paper considers binomial approximation of continuous time stochastic processes. It is shown that, under some mild integrability conditions, a process can be approximated in mean square sense and in other strong metrics by binomial processes, i.e., by processes with fixed size binary increments at sampling points. Moreover, this approximation can be causal, i.e., at every time it requires only past historical values of the underlying process. In addition, possibility of approximation of solutions of stochastic differential equations by solutions of ordinary equations with binary noise is established. Some consequences for the financial modelling and options pricing models are discussed