9 research outputs found
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Blindness and Selective Mutism: One Student’s Response to Voice-Output Devices
This case study was designed to measure the response of one student with blindness and selective mutism to the intervention of voice-output devices across two years and two different teachers in two instructional settings. Before the introduction of the voice output devices, the student did not choose to communicate using spoken language or gestures while at school. As a result of this intervention, the student consistently communicated her choice of a preferred activity, responded independently to social greetings, and more consistently expressed her wants and needs. She responded “yes” and “no” to questions and made significant gains in pre-reading skills
Nemeth in a Box: Unpacking Tools to Build Success in Math for Students with Visual Impairments
Students with visual impairments can be successful in math learning if they are provided with accessible materials, appropriate accommodations, and knowledgeable teachers. Four teachers of students with visual impairment designed a set of activities to build middle school students' knowledge of the braille code while engaging in math activities. The activities are described, and the authors provide strategies for successfully including students in general education math classes. 
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Experiences of Rural Teachers of Students with Visual Impairments During the Pandemic
Students who are educated by schools in rural areas experienced challenges around the world even before the COVID-19 pandemic, such as lack of resources and inadequate infrastructure (Çiftçi & Cin, 2018; Dube, 2020). The COVID-19 pandemic drew attention to the inequities of the conditions facing students in rural areas (EDC, 2020). These unique challenges were evident for those serving low-incidence disability populations, such as those children with visual impairment. There are unique challenges in providing support to students and their families with visual impairments in rural areas of the country. Those challenges included need for additional supports in technology, internet infrastructure, funding, and full access to accessible materials. Concerns over the health and well-being of teachers and students with visual impairments were also expressed as concerns but was not unique for teachers of students with visual impairments in rural areas
Guided selective deposition of nanoparticles by tuning of the surface potential
Guided deposition of nanoparticles onto different substrates is of great importance for a variety of applications such as biosensing, targeted cancer therapy, anti-bacterial coatings and single molecular electronics. It is therefore important to gain an understanding of what parameters are involved in the deposition of nanoparticles. In this work we have deposited 60 nm, negatively charged, citrate stabilized gold nanoparticles onto microstructures consisting of six different materials, (vanadium (V), silicon dioxide (SiO2), gold (Au), aluminum (Al), copper (Cu) and nickel (Ni)). The samples have then been investigated by scanning electron microscopy to extract the particle density. The surface potential was calculated from the measured surface charge density maps measured by atomic force microscopy while the samples were submerged in a KCl water solution. These values were compared with literature values of the isoelectric points (IEP) of different oxides formed on the metals in an ambient environment. According to measurements, Al had the highest surface potential followed by Ni and Cu. The same trend was observed for the nanoparticle densities. No particles were found on V, SiO2 and Au. The literature values of the IEP showed a different trend compared to the surface potential measurements concluding that IEP is not a reliable parameter for the prediction of NP deposition. focus article Copyright (C) EPLA, 201
Diffuse correlation spectroscopy blood flow monitoring for intraventricular hemorrhage vulnerability in extremely low gestational age newborns
In premature infants with an extremely low gestational age (ELGA, < 29 weeks GA), dysregulated changes in cerebral blood flow (CBF) are among the major pathogenic factors leading to germinal matrix/intraventricular hemorrhage (GM/IVH). Continuous monitoring of CBF can guide interventions to minimize the risk of brain injury, but there are no clinically standard techniques or tools for its measurement. We report the feasibility of the continuous monitoring of CBF, including measures of autoregulation, via diffuse correlation spectroscopy (DCS) in ELGA infants using CBF variability and correlation with scalp blood flow (SBF, served as a surrogate measure of systemic perturbations). In nineteen ELGA infants (with 9 cases of GM/IVH) monitored for 6–24 h between days 2–5 of life, we found a strong correlation between CBF and SBF in severe IVH (Grade III or IV) and IVH diagnosed within 72 h of life, while CBF variability alone was not associated with IVH. The proposed method is potentially useful at the bedside for the prompt assessment of cerebral autoregulation and early identification of infants vulnerable to GM/IVH