9 research outputs found
3D Flower-Like Hierarchitectures Constructed by SnS/SnS 2
Sn chalcogenides, including SnS, Sn2S3, and SnS2, have been extensively studied as anode materials for lithium batteries. In order to obtain one kind of high capacity, long cycle life lithium batteries anode materials, three-dimensional (3D) flower-like hierarchitectures constructed by SnS/SnS2 heterostructure nanosheets with thickness of ~20 nm have been synthesized via a simple one-pot solvothermal method. The obtained samples exhibit excellent electrochemical performance as anode for Li-ion batteries (LIBs), which deliver a first discharge capacity of 1277 mAhg−1 and remain a reversible capacity up to 500 mAhg−1 after 50 cycles at a current of 100 mAg−1
School Dropouts and Conditional Cash Transfers: Evidence from a Randomized Controlled Trial in Rural China's Junior High Schools
Recent anecdotal reports suggest that dropout rates may be higher and actually increasing over time in poor rural areas. There are many reasons not to be surprised that there is a dropout problem, given the fact that China has a high level of poverty among the rural population, a highly competitive education system and rapidly increasing wages for unskilled workers. The overall goal of this study is to examine if there is a dropout problem in rural China and to explore the effectiveness that a Conditional Cash Transfer (CCT) program could have on dropouts (and mechanism by which the CCT might affect drop outs). To meet this objective, we conducted a randomized controlled trial (RCT) of a CCT using a sample of 300 junior high school students in a nationally-designated poor county in Northwest China. Using our data, we found that the annual dropout rate in the study county was high, about 7.0%. We find, however, that a CCT program reduces drop outs by 60%; the dropout rate is 13.3% in the control group and 5.3 % in the treatment group. The program is most effective in the case of girls, younger students and the poorest perfirming students
Effects of Intracranial Pressure Monitoring on Mortality in Patients with Severe Traumatic Brain Injury: A Meta-Analysis
<div><p>Background</p><p>The Brain Trauma Foundation (BTF) guidelines published in 2007 suggest some indications for intracranial pressure (ICP) monitoring in severe traumatic brain injury (TBI). However, some studies had not shown clinical benefit in patients with severe TBI; several studies had even reported that ICP monitoring was associated with an increased mortality rate. The effect of ICP monitoring has remained controversial, regardless of the ICP monitoring guidelines. Here we performed a meta-analysis of published studies to assess the effects of ICP monitoring in patients with severe TBI.</p><p>Methods</p><p>We searched three comprehensive databases, the Cochrane Library, PUBMED, and EMBASE, for studies without limitations published up to September 2015. Mortality, ICU LOS, and hospital LOS were analyzed with Review Manager software according to data from the included studies.</p><p>Results</p><p>Eighteen eligible studies involving 25229 patients with severe TBI were included in our meta-analysis. The results indicated no significant reduction in the ICP monitored group in mortality (hospitalized before 2007), hospital mortality (hospitalized before 2007), mortality in randomized controlled trials. However, overall mortality, mortality (hospitalized after 2007), hospital mortality (hospitalized after 2007), mortality in observational studies (hospitalized after 2007), 2-week mortality, 6-month mortality, were reduced in ICP monitored group. Patients with an increased ICP were more likely to require ICP monitoring.</p><p>Conclusion</p><p>Superior survival was observed in severe TBI patients with ICP monitoring since the third edition of “Guidelines for the Management of Severe Traumatic Brain Injury,” which included “Indications for intracranial pressure monitoring,” was published in 2007.</p></div
Forest plot of association between ICP monitoring and mortality in patients with severe TBI stratified by hospitalized time.
<p>Forest plot of association between ICP monitoring and mortality in patients with severe TBI stratified by hospitalized time.</p
Forest plot of association between ICP monitoring and mortality expressed as 2-week and 6-month mortality rates.
<p>Forest plot of association between ICP monitoring and mortality expressed as 2-week and 6-month mortality rates.</p
Forest plot of association between ICP monitoring and mortality in ICU mortality and in-hospital mortality.
<p>Forest plot of association between ICP monitoring and mortality in ICU mortality and in-hospital mortality.</p
Forest plot of association between ICP monitoring and mortality in only RCTs, observational studies, and child populations.
<p>Forest plot of association between ICP monitoring and mortality in only RCTs, observational studies, and child populations.</p
Flow diagram of literature search and selection process.
<p>Flow diagram of literature search and selection process.</p