Improving Disaster Resilience Using Mobile Based Disaster Management System

AbstractThe use of ICTs can help to produce information and make better decisions for effective disaster management system. ICT is considered to necessary enhance adaptation capacity and supports feedback, ensure information access, enables active participation, reduces vulnerability. Mobile technologies are appropriate for providing these needs to improving resilience. Nowadays with the widespread use of mobile devices, benefiting as an information sharing environment after disaster is inevitable. The use of mobile technologies by citizens after a disaster increases resilience against disasters. The aim of the study is to increase disaster resilience by using mobile technologies to ensure citizens play an active role in disaster management

Tissue mimicking phantoms for microwave brain stroke imaging

Within the past decade, once limited biomedical application of microwave imaging started to expand from the breast cancer imaging to imaging of other anomalies. One such anomaly is the brain stroke where the application of microwave imaging is two folds. One application is the identifying the source of stroke that is to categorize whether the stroke stems from blockage (ischemic) or bleeding (hemorrhagic). The other possible application is the continuous imaging of the progression of hemorrhagic stroke during the post-acute stage. In this work, a phantom for emulating the dielectric properties of the lossy brain tissue is given for testing of the microwave devices for continuous monitoring. The recipe is simple and is composed by mixing carboxymethyl cellulose, ethylene glycol, and deionized water. The recipe is simple, has viscose texture, and can be easily composed. Dielectric property measurements and comparison with the literature data is given in this paperThis project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 750346

Microscopic and molecular detection of Nosema spp. in honeybees of Turkey

International audienceAbstractIn this study, we aimed to determine the prevalence of Nosema spp. in honeybees of Turkey. For this aim, adult honeybee (Apis mellifera) samples were collected from 1621 colonies within 95 apiaries located in 22 provinces of Turkey. Samples were examined microscopically. In case of positivity, spore identification was done by multiplex PCR. At the end of microscopic examination, Nosema spp. spores were detected in 7 out of 22 provinces (31.8 %), and 16 out of 95 colonies (16.8 %) that represent 1621 colonies. According to PCR results, 1 out of 16 isolates (6.25 %) was Nosema apis, and 15 out of 16 isolates (93.75 %) were Nosema ceranae. The result of our study indicated that N.ceranae is the dominant species in Turkey

Paraesthesia Caused by the Separated Endodontic Instrument: Case Report

Abstract In endodontics, separated endodontic instruments located in the mandibular canal may cause an injury of the inferior alveolar nerve (IAN) resulting in disabling sensory disturbances such as pain, paraesthesia, and dysaesthesia of the lower lip and chin area. In clinically paraesthesia usually manifests as numbness, tingling or any deviation from normal sensation. The suggested therapeutic sequence for endodontic related paraesthesia is the control of pain and inflammation and, whenever possible, the surgical elimination of the cause. A healthy 33-yearold woman was referred to the Department of Endodontics, Oral and Dental Healthy Hospital, Eskişehir suffering from pain and paraesthesia in the left lower lip and chin. Radiographic examination revealed the presence of a separated endodontic instrument beyond the apex of the mandibular left second molar and this instrument was inside the left mandibular canal. Damage to the IAN secondary to extrusion of a separated endodontic instrument was diagnosed. Extraction of the tooth was decided and after prednisone and pregabalin treatments both pain and paraesthesia on the left side of the lower lip and chin were gone

The Impact of Intravenous Fluid Therapy on Acid-Base Status of Critically Ill Adults: A Stewart Approach-Based Perspective

One of the most important tasks of physicians working in intensive care units (ICUs) is to arrange intravenous fluid therapy. The primary indications of the need for intravenous fluid therapy in ICUs are in cases of resuscitation, maintenance, or replacement, but we also load intravenous fluid for purposes such as fluid creep (including drug dilution and keeping venous lines patent) as well as nutrition. However, in doing so, some facts are ignored or overlooked, resulting in an acid-base disturbance. Regardless of the type and content of the fluid entering the body through an intravenous route, it may impair the acid-base balance depending on the rate, volume, and duration of the administration. The mechanism involved in acid-base disturbances induced by intravenous fluid therapy is easier to understand with the help of the physical-chemical approach proposed by Canadian physiologist, Peter Stewart. It is possible to establish a quantitative link between fluid therapy and acid-base disturbance using the Stewart principles. However, it is not possible to accomplish this with the traditional approach; moreover, it may not be noticed sometimes due to the normalization of pH or standard base excess induced by compensatory mechanisms. The clinical significance of fluid-induced acid-base disturbances has not been completely clarified yet. Nevertheless, as fluid therapy may be the cause of unexplained acid-base disorders that may lead to confusion and elicit unnecessary investigation, more attention must be paid to understand this issue. Therefore, the aim of this paper is to address the effects of different types of fluid therapies on acid-base balance using the simplified perspective of Stewart principles. Overall, the paper intends to help recognize fluid-induced acid-base disturbance through bedside evaluation and choose an appropriate fluid by considering the acid-base status of a patient

Application of Artificial Neural Networks for Defect Detection in Ceramic Materials

In this study, an artificial neural network application was performed to tell if 18 plates of the same material in different shapes and sizes were cracked or not. The cracks in the cracked plates were of different depth and sizes and were non-identical deformations. This ANN model was developed to detect whether the plates under test are cracked or not, when four plates have been selected randomly from among a total of 18 ones. The ANN model used in the study is a model uniquely tailored for this study, but it can be applied to all systems by changing the weight values and without changing the architecture of the model. The developed model was tested using experimental data conducted with 18 plates and the results obtained mainly correspond to this particular case. But the algorithm can be easily generalized for an arbitrary number of items