Using a Literacy Tutor's Reflexive Journaling for Addressing L1 Literacy Gaps in a Central Asian EMI University

Literacy support in an EMI university in Central Asia (CA) helps students with the challenging linguistic demands of tertiary study in a second (foreign) language (L2). As Kazakhstan's post-Soviet education system (Yassukova, 2020) lacks significant first-language (L1) reading-to-write education (Keck, 2014; Friedman, 2019), English L2-literacy development has become even more difficult when compared to other regions of the world. Students’ literacy capabilities need to be investigated by L2-literacy tutors in order to scaffold learning better. Questions emerge as to whether it would help that the tutor had developed her L1 literacy through the same (but chronologically-earlier) system. To unpack this question, research can draw on perspectives in language socialisation (LS) (Duff, 2012), which sees learning environments as dynamic socially/culturally situated processes. To this end, this study looks at one L2-English literacy tutor's (author 2) experiences in a tertiary Foundation writing course. The goal was to see how the tutor’s interpretations of classroom literacy problems could inform the teaching of low L1-literacy students’ writing and metalanguage. For this purpose, we studied the reflective journaling (Burton, 2005) of the tutor who wrote reflective journals during a semester-long course in early 2020. The findings indicate that reflexivity can help a tutor find solutions, and that a similarity of background seems to help a local literacy tutor understand, and respond to, many of their students’ needs

Nanostructured nickel-zinc microbatteries using the Tobacco Mosaic Virus

The development of nanostructured nickel electrodes using the Tobacco mosaic virus (TMV) for microbattery applications is presented in this Thesis. The TMV is a high aspect ratio cylindrical plant virus that can be used as a template to increase reactive surface area in MEMS-fabricated batteries. Genetically modifying the virus to display multiple binding sites allows for nickel metallization and self-assembly onto various substrates. In this work, the TMV biofabrication technique has been integrated into standard MEMS fabrication processes and novel nickel-zinc microbatteries have been developed using this technology. The nanostructured batteries exhibited appropriate charge-discharge response for up to thirty cycles of operation and demonstrated a six-fold increase in capacity compared to devices with planar electrode geometries. These results, combined with the simplicity and compatibility of the TMV assembly with various MEMS processes, make this approach promising for the development of compact, high-performance small-scale energy conversion devices

Analysis of movements and degrees of freedom required for a vibration attenuation system on ambulance stretchers

This work deals with an analysis of the acceleration level to which a patient is exposed during ambulance transportation. A dynamic analysis of ambulance movements has been approached considering some different operating conditions of the vehicle, such as braking, driving over speed bumps and on uneven pavements. The purpose of this study is providing sources for development of a system reducing vibration effects on the body when a patient is transported by ambulance

Classical-quantum correspondence in atomic ionization by midinfrared pulses: Multiple peak and interference structures

Atomic ionization by strong and ultrashort laser pulses with frequencies in the midinfrared spectral region have revealed novel features such as the low-energy structures. We have performed fully three-dimensional quantum dynamical as well as classical trajectory Monte Carlo simulations for pulses with wavelengths from λ=2000 to 6000 nm. Furthermore, we apply distorted-wave quantum approximations. This allows to explore the quantum-classical correspondence as well as the (non) perturbative character of the ionization dynamics driven by long-wavelength pulses. We observe surprisingly rich structures in the differential energy and angular momentum distribution which sensitively depend on λ, the pulse duration τp, and the carrier-envelope phase ϕCEP

Real-Time Abnormal Event Detection for Enhanced Security in Autonomous Shuttles Mobility Infrastructures

Autonomous vehicles (AVs) are already operating on the streets of many countries around the globe. Contemporary concerns about AVs do not relate to the implementation of fundamental technologies, as they are already in use, but are rather increasingly centered on the way that such technologies will affect emerging transportation systems, our social environment, and the people living inside it. Many concerns also focus on whether such systems should be fully automated or still be partially controlled by humans. This work aims to address the new reality that is formed in autonomous shuttles mobility infrastructures as a result of the absence of the bus driver and the increased threat from terrorism in European cities. Typically, drivers are trained to handle incidents of passengers’ abnormal behavior, incidents of petty crimes, and other abnormal events, according to standard procedures adopted by the transport operator. Surveillance using camera sensors as well as smart software in the bus will maximize the feeling and the actual level of security. In this paper, an online, end-to-end solution is introduced based on deep learning techniques for the timely, accurate, robust, and automatic detection of various petty crime types. The proposed system can identify abnormal passenger behavior such as vandalism and accidents but can also enhance passenger security via petty crimes detection such as aggression, bag-snatching, and vandalism. The solution achieves excellent results across different use cases and environmental conditions. Document type: Articl

Low-energy peak structure in strong-field ionization by mid-infrared laser-pulses: two-dimensional focusing by the atomic potential

We analyze the formation of the low-energy structure (LES) in above-threshold ionization spectra first observed by Quan et al.\ \cite{quan09} and Blaga et al.\ \cite{blaga09} using both quasi-classical and quantum approaches. We show this structure to be largely classical in origin resulting from a two-dimensional focusing in the energy-angular momentum plane of the strong-field dynamics in the presence of the atomic potential. The peak at low energy is strongly correlated with high angular momenta of the photoelectrons. Quantum simulations confirm this scenario. Resulting parameter dependences agree with experimental findings \cite{quan09,blaga09} and, in part, with other simulations \cite{liu10,yan10,kast11}.Comment: 12 pages, 6 figure

Potential impacts of climate change on flow regime and fish habitat in mountain rivers of the southwestern Balkans

The climate change in the Mediterranean area is expected to have significant impacts on the aquatic ecosystems and particular in the mountain rivers and streams that often host important species such as the Salmo farioides, Karaman 1938. These impacts will most possibly affect the habitat availability for various aquatic species resulting to an essential alteration of the water requirements, either for dams or other water abstractions, in order to maintain the essential levels of ecological flow for the rivers. The main scope of this study was to assess potential climate change impacts on the hydrological patterns and typical biota for a south-western Balkan mountain river, the Acheloos. The altered flow regimes under different emission scenarios of the Intergovernmental Panel on Climate Change (IPCC) were estimated using a hydrologicalmodel and based on regional climate simulations over the study area. The Indicators of Hydrologic Alteration (IHA) methodology was then used to assess the potential streamflow alterations in the studied river due to predicted climate change conditions. A fish habitat simulation method integrating univariate habitat suitability curves and hydraulic modeling techniques were used to assess the impacts on the relationships between the aquatic biota and hydrological status utilizing a sentinel species, the West Balkan trout. The most prominent effects of the climate change scenarios depict severe flow reductions that are likely to occur especially during the summer flows, changing the duration and depressing the magnitude of the natural low flow conditions. Weighted Usable Area-flow curves indicated the limitation of suitable habitat for the native trout. Finally, this preliminary application highlighted the potential of science-based hydrological and habitat simulation approaches that are relevant to both biological quality elements (fish) and current EUWater policy to serve as efficient tools for the estimation of possible climate change impacts on the south-western Balkan river ecosystems.This study was supported by the ECOFLOW project funded by the Hellenic General Secretariat of Research and Technology in the framework of the NSRF 2007-2013. The W. B. trout data collection was partially funded by the Spanish Ministry of Economy and Competitiveness with the project SCARCE (Consolider-Ingenio 2010 CSD2009-00065).Papadaki, C.; Soulis, K.; Muñoz Mas, R.; Martinez-Capel, F.; Zogaris, S.; Ntoanidis, L.; Dimitriou, E. (2016). Potential impacts of climate change on flow regime and fish habitat in mountain rivers of the southwestern Balkans. Science of the Total Environment. 540:418-428. https://doi.org/10.1016/j.scitotenv.2015.06.134S41842854

Bilateral adrenocortical carcinoma in a patient with multiple endocrine neoplasia type 1 (MEN1) and a novel mutation in the MEN1 gene

The incidence of adrenal involvement in MEN1 syndrome has been reported between 9 and 45%, while the incidence of adrenocortical carcinoma (ACC) in MEN1 patients has been reported between 2.6 and 6%. In the literature data only unilateral development of ACCs in MEN1 patients has been reported. We report a 31 years-old female MEN1-patient, in whom hyperplasia of the parathyroid glands, prolactinoma, non functioning pancreatic endocrine carcinoma and functioning bilateral adrenal carcinomas were diagnosed. Interestingly, a not previously described in the literature data, novel germline mutation (p.E45V) in exon 2 of MEN1 gene, was detected. The association of exon 2 mutation of the MEN1 gene with bilateral adrenal carcinomas in MEN1 syndrome, should be further investigated

Location Privacy Protection in Distributed IoT Environments Based on Dynamic Sensor Node Clustering

One of the most significant challenges in Internet of Things (IoT) environments is the protection of privacy. Failing to guarantee the privacy of sensitive data collected and shared over IoT infrastructures is a critical barrier that delays the wide penetration of IoT technologies in several user-centric application domains. Location information is the most common dynamic information monitored and lies among the most sensitive ones from a privacy perspective. This article introduces a novel mechanism that aims to protect the privacy of location information across Data Centric Sensor Networks (DCSNs) that monitor the location of mobile objects in IoT systems. The respective data dissemination protocols proposed enhance the security of DCSNs rendering them less vulnerable to intruders interested in obtaining the location information monitored. In this respect, a dynamic clustering algorithm is that clusters the DCSN nodes not only based on the network topology, but also considering the current location of the objects monitored. The proposed techniques do not focus on the prevention of attacks, but on enhancing the privacy of sensitive location information once IoT nodes have been compromised. They have been extensively assessed via series of experiments conducted over the IoT infrastructure of FIT IoT-LAB and the respective evaluation results indicate that the dynamic clustering algorithm proposed significantly outperforms existing solutions focusing on enhancing the privacy of location information in IoT