Search

As the advancements in the field of artificial intelligence technologies continue to grow, robots are being built by the researchers as an attempt to render services to the people. In this regard, the robots can communicate effectively with the people and be able to complete all the tasks adequately given to them. These service robots while being developed requires the dialogue services to be developed to interact effectively with human beings providing far better user experience. Thus, the robot been built can provide domain-specific knowledge as well as able to provide consultations in various domains. We in this paper adopted a service-oriented approach for developing context-aware communication services for the cloud robot. The proposed work aims at training the context-aware model developed. The context-aware model is responsible for answering the questions put forward by the users and possess the ability to exploit the answers corresponding to the questions presented. An integrated framework is used to combine the contextual information and communication services. The performance of the proposed model can be evaluated based on Inverse Rank Mean (IRM). Evolutionary testing methods are used for testing the data in the proposed model. The results thus obtained shows the effectiveness of the proposed approach.

Many modern day web applications deal with huge amount of secured and high impact data. As a result security plays a major role in web application development. The security of any web application focuses on data the application handles. The web application framework should prevent and detect web application vulnerabilities. Data will be stored in a database, so the OWASP categorized vulnerability SQL Injection Attacks (SQLIA) is the most critical vulnerability for a web application. An Ontology based model for preventing and detecting SQLIA using ontology (SQLIO) is proposed which implements Ontology Creation and prediction rule based vulnerabilities model. The proposed methodology provides prevents and detects SQLIA web vulnerability to a greater extent in cloud environment.

Smart contracts are set of instructions which are stored on a blockchain. These instructions will be executed automatically without middle-man interaction. Smart contracts in the blockchain allows the transactions and contracts to be executed across undesignated nodes without an interaction of central system or external enforcement. The transactions are transparent, traceable and irreversible. In blockchain all the data stored are secure and immutable. So blockchain would be the suitable environment for smart contracts. Smart contract data is encrypted and placed in a distributed ledger, which means the information stored in the blocks cannot be deleted or modified. There are many blockchain platforms supporting smart contracts. This paper explores the information about various smart contract platforms and its features.

Word sequence prediction is the word processing method that can be very useful for generating text summary by reducing the number of keystrokes when in need for typing words. So, mostly typing and summarizing a large text summary document is very complicated and is time consuming process. With a large and huge amount of data circulating in this digital data world, there is necessary to create and develop some machine learning algorithms that can automatically generate accurate summaries. Types of Neural Network and deep learning field techniques are the most popular and efficient method for automatic text summarization. This paper provides various methods and different datasets that may be used to generate text summaries automatically which reduces the time to manually type and summarize large text documents.

AimTo evaluate the impact of couch translational shifts on dose–volume histogram (DVH) and radiobiological parameters [tumour control probability (TCP), equivalent uniform dose (EUD) and normal tissue complication probability (NTCP)] of volumetric modulated arc therapy (VMAT) plans and to develop a simple and swift method to predict the same online, on a daily basis.MethodsIn total, ten prostate patients treated with VMAT technology were selected for this study. The plans were generated using Eclipse TPS and delivered using Clinac ix LINAC equipped with a Millennium 120 multileaf collimator. In order to find the effect of systematic translational couch shifts on the DVH and radiobiological parameters, errors were introduced in the clinically accepted base plan with an increment of 1 mm and up to 5 mm from the iso-centre in both positive and negative directions of each of the three axis, x [right–left (R-L)], y [superior–inferior (S-I)] and z [anterior–posterior (A-P)]. The percentages of difference in these parameters (∆D, ∆TCP, ∆EUD and ∆NTCP) were analyzed between the base plan and the error introduced plans. DVHs of the base plan and the error plans were imported into the MATLAB software (R2013a) and an in-house MATLAB code was generated to find the best curve fitted polynomial functions for each point on the DVH, there by generating predicted DVH for planning target volume (PTV), clinical target volume (CTV) and organs at risks (OARs). Functions f(x, vj), f(y, vj) and f(z, vj) were found to represent the variation in the dose when there are couch translation shifts in R-L, S-I and A-P directions, respectively. The validation of this method was done by introducing daily couch shifts and comparing the treatment planning system (TPS) generated DVHs and radiobiological parameters with MATLAB code predicted parameters.ResultsIt was noted that the variations in the dose to the CTV, due to both systematic and random shifts, were very small. For CTV and PTV, the maximum variations in both DVH and radiobiological parameters were observed in the S-I direction than in the A-P or R-L directions. ∆V70 Gy and ∆V60 Gy of the bladder varied more due to S-I shift whereas, ∆V40 Gy, ∆EUD and ∆NTCP varied due to A-P shifts. All the parameters in rectum were most affected by the A-P shifts than the shifts in other two directions. The maximum percentage of deviation between the TPS calculated and MATLAB predicted DVHs of plans were calculated for targets and OARs and were found to be less than 0·5%.ConclusionThe variations in the parameters depend upon the direction and magnitude of the shift. The DVH curves generated by the TPS and predicted by the MATLAB showed good correlation.

Cloud data centers traditionally use grid energy which emits carbon dioxide and dissipates heat to the environment. To decrease the amount of carbon emissions, many Cloud Service Providers (CSPs) are exploring the possibility of using renewable energy to operate their data centers showing a clear trend to migrate towards green cloud datacenters. Green cloud data centers typically use solar and wind as renewable energy sources. To meet the highly dynamic user demand and to ensure effective power management, an efficient methodology is proposed that performs various load scheduling and power management plans with the integration of renewables for geographically distributed green cloud datacenters. The proposed approach applies nature-inspired Modified Bacterial Foraging Optimization Algorithm (MBFOA) to balance load and reduce eco-aware energy cost. Simulations were conducted to determine the efficacy of the proposed MBFOA algorithm. The algorithm efficiently reduces eco-aware power cost of the system than the baseline methods.

Orthogonal frequency division multiplexing (OFDM) is a digital multi-carrier modulation scheme that employs a large number of orthogonal Closely-spaced sub-carriers. Each sub-carrier is modulated with a modulation scheme (QPSK or QAM generally) at a low symbol rate. Each of the sub-carrier is then multiplexed together and this forms the OFDM signal. In practice OFDM signals are generated and detected using the Fast Fourier Transform Algorithm. OFDM is a widely recognized modulation scheme for high data rate communications.However, the plementation of OFDM systems suffers from the phase noise introduced by the local oscillator causes two effects: The common phase error (CPE) , and The inter carrier interference (ICI) . In this paper we address the problem of phase noise suppression in orthogonal frequency division multiplexing (OFDM) systems.

I1 The 9th Annual Dubai Medical Education Symposium 2015 addresses the recent strides in medical education and clinical practice Fouzia Shersad, Hajer Sheikh S1 Acute lower limb ischaemia — Snow White and the Seven "Ps" Munther I. Aldoori S2 Learning styles in medical education Mohammed Galal El Din Ahmed S3 Reflection and feedback in teaching in clinical settings Joseph Michael Muscat-Baron S4 Medical Education in the Millennial Era Dima Abdelmannan S5 Current trends in the assessment of clinical competency at the workplace Hossam Hamdy S6 Influence of culture in delivering education Syed Tanzeem Haider Raza S7 Medical education – its day-to-day value in caring for patient Parveen J Kumar S8 IgG-4 related diseases (IgG-4 RD): what the clinician needs to know Fatheia Ali Bayoumy S9 From fetus to infant: the pediatric surgical care come into its own Gloria Pelizzo S10 20 minutes to know rheumatic disease Mike Irani S11 Research trends at Dubai Medical College Fouzia Shersad, Doaa Sultan P1 The Clinical Skills & Simulation Center (CSSC): Facing challenges in implementing the standardized program during OSCE (Objective Structured Clinical Examination) for undergraduate medical students Sumaiah Ali Abdulwahab P2 Informed consent education in a multicultural medical environment: clinical clerks’ perspectives Tahra AlMahmoud, M. Jawad Hashim, Margaret Ann Elzubeir, Frank Branicki P3 Effectiveness of information literacy on the information retrieval activity of medical students Bushra Parveen P4 Opportunistic infections in AIDS R. Subha Parameshwaran, Shubhangi Pathak P5 From transactional to transformative learning: engaging early-stage students in community engagement activities Ghazala Khan, Sabeena Salam, Nabeerah Aftab P6 A study of drug utilization of over the counter (OTC) drugs in private pharmacies of a residential area of Dubai, UAE Tasneem Sandozi, Aksha Memon, Maira Khalid Mehmood, Nayyab Mohammed Tayyab Mustafa, Almas Parker, Kawther Hamdi P7 General education matters for envisioning holistic integrative thinking in healthcare professionals Sabeena Salam P8 Course report: multidimensional imaging and capturing the quality of offered courses Eman Abu-Gharbieh, Sabeena Salam P9 Recent advances in medical education M. Jawad Hashim

Background and Aims: Immunomodulatory consequences of allogeneic blood transfusion may outweigh the advantages of improved oxygen delivery and tissue perfusion, especially in patients with cancer. In colorectal cancer, there is evidence of cancer relapse in patients who received transfusion. This retrospective analysis was undertaken to evaluate the relationship between perioperative blood transfusion and cancer recurrence in patients undergoing oncosurgery. Methods: In this case-control study, we retrospectively analysed the case sheets of 194 patients who had perioperative transfusion and underwent cancer surgery from March to December 2013(Study group, Cases). They were compared with controls matched for cancer site and TNM staging who did not receive perioperative transfusions (Control Group, Controls). We intended to find out if the Study group had any increased risk of cancer relapse compared with the controls. Records from the institute cancer registry were analysed in 2018 to give a follow-up period of 5 years. Continuous variables were analysed using Student's T test and Mann Whitney U test for normally distributed and skewed data respectively. For Categorical data Fisher's exact test and Chi square test were applied. The risk for recurrence was estimated using odds ratio. Results: The recurrence rate in cases and controls was 53.09% and 19.59% respectively and the odds ratio, 4.647 (CI: 2.954, 7.309). In Cases, significant relapse was noted for carcinomas of ovary, colorectal, bladder, larynx, head of pancreas and liver. Conclusion: In surgical oncology patients, ABT is associated with greater rate of recurrence.

Background: Hirsutism is defined as the presence of terminal coarse hairs in women, in male distribution. Hirsutism affects approximately 5 to 10% of women of reproductive age. There are only very few studies from south India on associations of hirsutism. We analyzed the prevalence of hirsutism among different age groups, etiology and its associated conditions.Methods: This prospective study was conducted in the Department of Dermatology, of a tertiary hospital in south India over a period of two years. Patients with Ferriman Gallway score of 8 or more were included in the study. Complete history, examination and investigations including USG abdomen & pelvis, hormonal assay were done for all patients. All our patients were screened for metabolic syndrome.Results: A total of 73 patients with hirsutism were enrolled. Among them, 53 (72.6%) were in the age group of 15 to 35 years. Menstrual irregularities were seen in 35 patients (48%). Face was the commonest site of involvement. Serum total testosterone was elevated in 10 patients (13.7%). LH, FSH ratio was more than 2 in 12 patients (16.4%). Polycystic ovaries were seen on pelvic ultrasonogram in 20 patients (27.3%).Conclusions: Idiopathic hirsutism was the most common cause of hirsutism in our study. In our study 30% of patients were obese. Among them, features of metabolic syndrome were seen in 31.8%, though majority of our patients were young.

Background: Hirsutism can represent a severe cosmetic disturbance, sometimes with psychological implications. Various lasers and broadband light sources have been developed for treatment of hirsutism. The objective of this study was to know the efficacy of IPL in hirsutism patientsMethods: Forty patients were included in the study. Treatment parameters in respect of pulse duration and fluence were determined according to manufacturer’s recommendation. Hair removal efficiency was calculated as a percentage of the number of hairs present at each visit compared with baseline count.Results: Most of the patients were of the skin type 4 and type 5. More number of patients had hair growth over the chin and sides. Among 40 patients, 70% of patients had good response and 15% of patients had an excellent response. Minimal side effects only noted.Conclusions: IPL is safe and efficient modality for treatment of hirsutism.

Thrombocytosis and hyperkalemia are entities which can have sinister complications in the perioperative period and can be worrisome to the alert anesthesiologist. Hence it is good to be aware of variants which are quite benign and need not lead to delaying of anaesthesia administration. One such case is reported to highlight this fact.

The software requirements are documented in natural language to make it easy for the users to understand the document. This flexibility of natural language comes with the risk of introducing unwanted ambiguities in the requirements thus leading to poor quality. In this paper, we propose and evaluate a framework that automatically analyses the ambiguities in a requirements document, summarizes the document and assess its quality. We analyse the ambiguities that can occur in natural language and present a method to automate ambiguity analysis and consistency and completeness verification that are usually carried out by human reviewers which is time consuming and ineffective. The Open Text Summarizer based system summarizes the document and provides an extract of it. We use a decision tree based quality evaluator that identifies the quality indicators in the requirements document and evaluates it.