Relation of common ABL kinase domain mutations with resistance to Tyrosine Kinase Inhibiters in patients with Chronic Myeloid Leukemia in Middle Euphrates of Iraq

Background: Chronic myeloid leukemia (CML) is a hematopoietic stem cell disease, associated with a reciprocal translocation between chromosomes 9 and chromosome 22, lead to the formation of the BCRABL fusion gene (Philadelphia chromosome). This fusion gene is believed to play golden role in the initial development of CML with constitutive tyrosine kinase activation. Successful use of tyrosine kinase inhibiters (TKIs) play a role in improve survival and increase prevalence of CML, but un fortunately mutations in the BCR-ABL kinase domain may cause, or contribute to increase, resistance to TKIs in CML patients. . Objective: This study was designed to assess the association of five most common BCR-ABL kinase domain mutations (T315I, M351T, E255K, M244V and E255V) with resistance state of CML patients on TKIs in Iraqi Middle Euphrates region. Patients and methods: A retrospective case-control study in which 85 patients with chronic myeloid leukemia in chronic phase (45 patients as cases group and 40 patient as control group) were selected from three hemato-oncology centers in middle Euphrates in Iraq during the period from January 2016 till October 2016 out of a total of 240 CML patients (108 male and 132 female) who were registered during this period in these three centers and all patients on TKI (Imatinib and Nilotinib). Venous blood sampling done for BCRABL kinase domain mutations screening. Results: four patients from cases group (4/45) were carriers of one of five selected ABL kinase domain mutations and no one of control group. T315I mutation was detected in 3/45 (6.6 %) of resistant patients, with a significant risk association to develop resistance to TKI therapy (odd ratio and C. I.) (6.67, 0.3340 - 133.2255). E255V was detected in 1/45 (2.2 %) and also had significant risk association to develop resistance to TKIs (odd ratio, C.I.) (2.73, 0.1081 -68.9424). No one of these mutations had significance correlation with demographic or hematological features. M351T, E255K and M244V were not detected in any one of our study groups CML patients. Conclusions: T315I and E255V among five ABL kinas domain mutations were detected in our CML patients with resistance to TKIs. All of them may play a role in development variable degree of resistance to first and second generation TKIs weather primary or secondary.T315I mutation is most common mutation within BCR-ABL domain kinase gene

Health Figures: An Open Source JavaScript Library for Health Data Visualization

The way we look at data has a great impact on how we can understand it, particularly when the data is related to health and wellness. Due to the increased use of self-tracking devices and the ongoing shift towards preventive medicine, better understanding of our health data is an important part of improving the general welfare of the citizens. Electronic Health Records, self-tracking devices and mobile applications provide a rich variety of data but it often becomes difficult to understand. We implemented the hFigures library inspired on the hGraph visualization with additional improvements. The purpose of the library is to provide a visual representation of the evolution of health measurements in a complete and useful manner. We researched the usefulness and usability of the library by building an application for health data visualization in a health coaching program. We performed a user evaluation with Heuristic Evaluation, Controlled User Testing and Usability Questionnaires. In the Heuristics Evaluation the average response was 6.3 out of 7 points and the Cognitive Walkthrough done by usability experts indicated no design or mismatch errors. In the CSUQ usability test the system obtained an average score of 6.13 out of 7, and in the ASQ usability test the overall satisfaction score was 6.64 out of 7. We developed hFigures, an open source library for visualizing a complete, accurate and normalized graphical representation of health data. The idea is based on the concept of the hGraph but it provides additional key features, including a comparison of multiple health measurements over time. We conducted a usability evaluation of the library as a key component of an application for health and wellness monitoring. The results indicate that the data visualization library was helpful in assisting users in understanding health data and its evolution over time.Comment: BMC Medical Informatics and Decision Making 16.1 (2016

Development and user testing of a wellness data visualization solution

Use of information technology in health and wellness attracts a lot of attention these days from the general public, health care professionals, and the research community. A significant amount of research has been done lately in order to find ways to visualize health and wellness data in a holistic way which is easy to use and understand. The main objective of the thesis was to develop a health and wellness solution for visualizing the health and wellness status of an individual and monitoring his/her progress in the health and wellness coaching. The research focused on three main issues: 1) Devel-oping a Progress data component which allows for monitoring the adherence of clients to tasks and to see their performance, 2) integrating the component with two other com-ponents in the system to create a Health and wellness overview solution, and 3) testing and evaluation of the component and the solution to assess usability issues and to gather user feedback. The research followed a user-centered approach by focusing on the users and tasks from the beginning of the design process. This approach also included iterative design, with cycles of design, test, measure, and redesign. This approach was chosen to reach a high level of usability and user satisfaction by obtaining direct and indirect user feedback and requirements throughout the design process. After implementation, testing and evaluations were conducted in two phases, namely after the implementation of the Progress data component, and after the integration of the component with the rest of the system. The evaluations were conducted with two different types of potential users: general users, and experts in usability issues. Many different techniques and methods were used in the evaluation studies. These included four standardized usability questionnaires, and the comparison of the data between them, in order to obtain high levels of reliability of the data. The results showed a high level of satisfaction with all the metrics of usability of the system, with average responses between 5.66 and 6.60 in the 7-point Likert scale. With regard to overall user satisfaction, the results were equally positive in all four question-naires, with scores between 6.02 and 6.46 in the Likert scale. Some issues of interaction between the different components of the system still need further development, and the design should be evaluated on and, if need be, redesigned for, devices with different screen sizes. The results indicate that successful visualization can help people understand better their holistic health and wellness data

Exploiting One-Dimensional Convolutional Neural Networks for Joint Channel Estimation and Signal Detection in Non-Orthogonal Multiple Access Systems

الوصول المتعدد غير المتعامد (NOMA) هو تقنية واعدة للجيل الخامس و الاجيال المستقبلية من شبكات الاتصالات اللاسلكية ، مما يزيد من كفاءة الطيف ويقلل من زمن الوصول. ومع ذلك، يمكن أن يتأثر أداء NOMA بإلغاء التداخل المتتالي غير المثالي (SIC). تم اقتراح تقنيات الذكاء الاصطناعي للمساعدة في الكشف عن الإشارات وتقدير القنوات في أنظمة NOMA. في هذه الدراسة ، نقترح نهجًا جديدًا باستخدام الشبكات العصبية التلافيفية أحادية البعد (1D CNN) لمعالجة قيود المحددة لأنظمة الذكاء الاصطناعي الحالية. على عكس طرق الذكاء الاصطناعي الأخرى التي تعتمد على تبعيات الوقت لتصنيف البيانات ، تستخدم 1D CNN طبقة التفاف أحادية البعد لاستخراج الميزات، مما يؤدي إلى موثوقية عالية. تظهر نتائج المحاكاة أن طريقتنا المقترحة تتفوق على تقنيات التعلم العميق الحالية من حيث معدل الخطأ في العينة (SER). علاوة على ذلك ، يؤدي تقليل معلمة البادئة الدورية (CP) إلى زيادة التداخل بين العينات (ISI) ، ولكن طريقتنا لا تزال تحقق تحسينًا بمقدار 6 ديسيبل على النهوج في (11،13) وتقنيات تقدير القنوات التقليدية مثل الاحتمال الأقصى (ML) عند إشارة منخفضة إلى- نسب الضوضاء (SNR).Non-Orthogonal Multiple Access (NOMA) is a promising technology for the fifth and future generations of wireless communication networks, which increases spectral efficiency and reduces latency. However, NOMA performance can be affected by imperfect successive interference cancellation (SIC). Deep learning techniques have been proposed to aid in signal detection and channel estimation in NOMA systems. In this study, we propose a new approach using one-dimensional convolutional neural networks (1D CNN) to address the limitations of current deep learning methods. Unlike other deep learning methods that rely on time dependencies for data classification, 1D CNN uses a 1-dimensional convolution layer for feature extraction, resulting in high reliability. Simulation results demonstrate that our proposed method outperforms existing deep learning techniques in terms of sample error rate (SER) by 7dB. Moreover, reducing the cyclic prefix (CP) parameter increases inter-sample interference (ISI), but our method still achieves a 6 dB improvement over approaches in [11,13] and traditional channel estimation techniques like maximum likelihood (ML) at low signal-to-noise ratios (SNR)

The Effect of using Iraqi Plaster with Type III Dental Stone as Investing Materials on the Vertical Dimension of Occlusion in Acrylic Resin Complete Dentures (A comparative Study)

Aim of study: The aim of this study was to evaluate the Iraqi plaster when used as investing material and studies its effect on the changes of vertical dimension of occlusion of heat cured acrylic resin complete dentures using four different investing methods in compression molding technique.Materials and methods: Forty acrylic resin complete dentures were prepared from heat-cure acrylic resin denture base. The study include 4 groups depending on the type of investing method, Group 1: plaster- stone- mixed, Group 2: plaster- stone- plaster, Group 3: plaster- mixed- mixed, Group 4: plaster- mixed - stone. Each group of them contains 10 dentures. Changes in occlusal vertical dimension were measured before and after denture processing. Collected data were analyzed with analysis of variance and Tukey's test at 95% level of confidence (p=0.05).Results: The mean of changes in dimension of occlusion in different groups were: group1: (0.6337mm), group2: (0.6253mm group3: (1.0171mm), and group4: (0.9837mm).Conclusion: Less dimensional changes was observed in the group of dentures that invested with plaster-stone- plaster when compare with other investing methods. Keywords: Iraqi plaster, stone, flasking, vertical dimension of occlusion

New artificial neural network design for Chua chaotic system prediction using FPGA hardware co-simulation

This study aims to design a new architecture of the artificial neural networks (ANNs) using the Xilinx system generator (XSG) and its hardware co-simulation equivalent model using field programmable gate array (FPGA) to predict the behavior of Chua’s chaotic system and use it in hiding information. The work proposed consists of two main sections. In the first section, MATLAB R2016a was used to build a 3×4×3 feed forward neural network (FFNN). The training results demonstrate that FFNN training in the Bayesian regulation algorithm is sufficiently accurate to directly implement. The second section demonstrates the hardware implementation of the network with the XSG on the Xilinx artix7 xc7a100t-1csg324 chip. Finally, the message was first encrypted using a dynamic Chua system and then decrypted using ANN’s chaotic dynamics. ANN models were developed to implement hardware in the FPGA system using the IEEE 754 Single precision floating-point format. The ANN design method illustrated can be extended to other chaotic systems in general

Field-programmable gate array design of image encryption and decryption using Chua’s chaotic masking

This article presents a simple and efficient masking technique based on Chua chaotic system synchronization. It includes feeding the masked signal back to the master system and using it to drive the slave system for synchronization purposes. The proposed system is implemented in a field programmable gate array (FPGA) device using the Xilinx system generator tool. To achieve synchronization, the Pecora-Carroll identical cascading synchronization approach was used. The transmitted signal should be mixed or masked with a chaotic carrier and can be processed by the receiver without any distortion or loss. For different images, the security analysis is performed using the histogram, correlation coefficient, and entropy. In addition, FPGA hardware co-simulation based Xilinx Artix7 xc7a100t-1csg324 was used to check the reality of the encryption and decryption of the images

The Effect of Using Modified Flask on the Porosity of Processed Heat- Cure Acrylic Resin

Porosity is an important property of acrylic resin material because it affect other properties like strength, esthetic and cause bacterial or fungal growth lead to unhealthy dentures. This paper Study the possibility of reducing the porosit

Multicomponent Biosorption of Heavy Metals Using Fluidized Bed of Algal Biomass

This paper aims to study the biosorption for removal of lead, cadmium, copper and arsenic ions using algae as a biosorbent. A series of experiments were carried out to obtain the breakthrough data in a fluidized bed reactor. The minimum fluidization velocities of beds were found to be 2.27 and 3.64 mm/s for mish sizes of 0.4-0.6 and 0.6-1 mm diameters, respectively. An ideal plug flow model has been adopted to characterize the fluidized bed reactor. This model has been solved numerically using MATLAB version 6.5. The results showed a well fitting with the experimental data. Different operating conditions were varied: static bed height, superficial velocity and particle diameter. The breakthrough curves were plotted for each metal. Pb2+ showed the largest breakthrough time compared with others, while Cd2+ had the lowest valu

Levels of Psychosocial Problems of Children Attending outpatient Clinics of the Paediatric Hospitals in the City of Baghdad

AbstractObjective: The purpose of the study is to find out the levels of psychosocial problems in a sample of out-patient children attending the paediatric hospitals in Baghdad city at the time of this study.Methodology: A descriptive study design was achieved from Aug. 21ist through Nov. 10th 2013. A non-probability accidental sample of 138 children with age ranged from six to twelve year and more, who attended with their parent in one of the outpatient departments of paediatric hospitals in Baghdad city, participated in this study. A designed questionnaire was used for the study. This questionnaire is a modified version of Paediatric Symptoms Checklist (PSC) and it consists of two parts; a basic demographic characteristics which includes the information about the child: age, gender, class and number of children in the family; information about the parents such as age, level of education and occupation and secondly, a part forms the inventory. The inventory comprised of 38 items organised into five subcategories. Four choices were for each item. The total score of the inventory was ranged from zero to 114.Results: One hundred and thirty eight questionnaires were completed. 56.5% of sample is male, 29.7% of the pupils are in fifth class, and 56.5% are of families having 4 to 6 child. Half of the fathers are of four decade old while more than half of the mothers are of three decade old; and 41.3% of parents and 54.3% of mothers have primary school. The severity of psychosocial problems of the participants ranged from mild (38.4%, n: 53); moderate (31.9%, n: 44); and severe (29.7%, n: 41). The study found that the higher severity of the child's psychosocial problems was significantly correlated with older age of their parents.Conclusions: The present study revealed that more than half of children are male; and also more than half of the families have four children and more; less than half of fathers and more than half of mothers have primary school level of education; half of the fathers are from fourth decade and more than half of mothers are from third decade; the study indicated that more than half of children have level of psychosocial problems ranged between moderate toKUFA JOURNAL FOR NURSING SCIENCES Vol. 6 No. 3 Sep. through Dec. 2016050severe. Finally, the results indicated that the older the parents are the severer levels of psychosocial problems have their children.Recommendation: The study recommends that the psychosocial health should be considered as target and important aspect for such study as a part of child health service; suggest an educational program for the importance of psychosocial health, in hospitals, out-patients clinics, and non-governmental organizations in order to increase people's level of understanding regarding psychosocial health as well as preventing child's distress; and conduct further studies to provide critical information concerning factors that influence child's psychosocial health, with more concerns about other unstudied factors.Keywords: psychosocial, children, out-patient, paediatric, Baghdad city