Graphical passwords as browser extension: Implementation and usability study

Abstract: Today, most Internet applications still establish user authentication with traditional text based passwords. Designing a secure as well as a user-friendly password-based method has been on the agenda of security researchers for a long time. On one hand, there are password manager programs which facilitate generating site-specific strong passwords from a single user password to eliminate the memory burden due to multiple passwords. On the other hand, there are studies exploring the viability of graphical passwords as a more secure and user-friendly alternative. In this paper, we present GPEX, a password manager program implemented as a web browser plug-in to enable using graphical passwords to secure Internet applications without any need to change their authentication interface. Experimental results show that GPEX has security and usability advantages over other password manager plug-ins. specifically; we find that with the visual interface of GPEX, users have a more complete and accurate mental model of the system and incorrect login attempts causing security exposures can easily be avoided

A New RMF Stirrer Using AISI4140 Mild Steel: Energy Optimization Application

This study examines the development of a novel FPGA-based RMF stirrer system. The system has been designed as a 3-phase system, with each phase being fed by PWM voltage with a phase difference of 120°. In case the system is driven at a 100 % duty cycle, the force acting on the magnetic fish remains continuous and constant until the subsequent phase changes. In such a case, at speeds under 400 rpm, the speed of the magnetic fish fails to be synchronized with the phase change speed. The magnetic fish, therefore, rotates more than 120° and the force is observed to cause a braking effect. Both fluid logic control (FLC) and virtual model control (VMC) were utilised to enable the system to be driven at a different duty cycle. The energy efficiency of the system for fluids with different viscosities has been attempted to be thereby improved with a lower current and shorter excitation time. With FLC and VMC control, the energy consumed by the system is reduced and the efficiency is increased, and approximately 95 % energy gain is obtained for liquids with viscosity up to 1.03 Pa·s. It has been experimentally proven that a lower limit value of the duty cycle of the PWM signal applied to the drive circuit of the system depends on the viscosity of the mixed liquid and a lower limit value increases with increasing viscosity. It has also been found that controlling the system with FLC and VMC does not have a great effect on the energy gain

Metabolic Imaging Based Sub-Classification of Lung Cancer

Lung cancer is one of the deadliest cancer types whose 84% is non-small cell lung cancer (NSCLC). In this study, deep learning-based classification methods were investigated comprehensively to differentiate two subtypes of NSCLC, namely adenocarcinoma (ADC) and squamous cell carcinoma (SqCC). The study used 1457 F-18-FDG PET images/slices with tumor from 94 patients (88 men), 38 of which were ADC and the rest were SqCC. Three experiments were carried out to examine the contribution of peritumoral areas in PET images on subtype classification of tumors. We assessed multilayer perceptron (MLP) and three convolutional neural network (CNN) models such as SqueezeNet, VGG16 and VGG19 using three kinds of images in these experiments: 1) Whole slices without cropping or segmentation, 2) cropped image portions (square subimages) that include the tumor and 3) segmented image portions corresponding to tumors using random walk method. Several optimizers and regularization methods were used to optimize each model for the diagnostic classification. The classification models were trained and evaluated by performing stratified 10-fold cross validation, and F-score and area-under-curve (AUC) metrics were used to quantify the performance. According to our results, it is possible to say that inclusion of peritumoral regions/tissues both contributes to the success of models and makes segmentation effort unnecessary. To the best of our knowledge, deep learning-based models have not been applied to the subtype classification of NSCLC in PET imaging, therefore, this study is a significant cornerstone providing thorough comparisons and evaluations of several deep learning models on metabolic imaging for lung cancer. Even simpler deep learning models are found promising in this domain, indicating that any improvement in deep learning models in machine learning community can be reflected well in this domain as well

A Critical Appraisal of Emergency Medicine Specialty Training and Resignation among Residents in Emergency Medicine in Turkey

Background and Aim. The nonsatisfaction among emergency medicine specialty trainees is an underrated issue in Turkey. Several previous studies have evaluated the burn-out and its consequences among physicians, but there is no study conducted with specialty trainees. The aim of this study is to evaluate the reasons for resignation among emergency medicine specialty residents in Turkey. Method. A total of 41 participants, who resigned from emergency medicine residency, were contacted by phone and invited to complete an online survey that included 25 questions about personal characteristics and departmental information. Results. Most frequent reasons of resignation were violence/security concerns (63.4%), busy work environment (53.7%), and mobbing (26.8%). Participants who reported that they have resigned due to inadequate training were mostly over 30 years old (p=0.02), continued more than 6 months to EMST (p<0.001), reported that there was no regular rotation program (p=0.003) or access to full-text scientific journals (p=0.045) in their department. All participants thought that there were deficits in the training programs, and none of them declared regret for resigning. Twenty-eight participants (68.2%) continued their specialty training at a different discipline after resignation. Conclusion. Major barriers against a high-quality and sustainable emergency medicine residency are violence in emergency services, mobbing in academic or administrative bodies, and inaccessibility to scientific resources. These obstacles can only be removed by cooperation of multiple institutions in Turkey

Exploration and field study of a password manager using icon-based passwords

We carry out a hybrid lab and field study of a password manager program, and report on usability and security. Our study explores iPMAN, a browser-based password manager that in addition uses a graphical password scheme for the master password. We present our findings as a set of observations and insights expected to be of interest both to those exploring password managers, and graphical passwords

Primary pulmonary lymphoma: A report of two cases

Primary lung lymphomas represent less than 1% of all non-Hodgkin's lymphomas, and most of these are MALT (mucosa-associated lymphoid tissue) lymphomas that originate from bronchial mucosa-associated lymphoid tissue. In this report, we presented two cases of primary lung MALT lymphoma whose diagnoses were made by bronchospy and histopathological examination. Initial diagnoses were postobstructive pneumonia unresponsive to antibiotherapy in one patient, and lung carcinoma with persistent cough in the other

A case applied with decompensated heart failure findings diagnosed as primary effusion lymphoma

Primary Effusion Lymphoma (PEL) is an infrequent subtype of Non-Hodgkin's Lymphoma which is characterized by lymphomatous effusions in body cavities, not-associated with mass lesions. Generally PEL is reported in immunocompromised patients infected with human immunodeficiency virus (HIV) and Human Herpes Virus-8 (HHV-8). Recently HIV and HHV-8 negative cases were also reported. Here, we report a 76 year-old man with HIV and HHV-8 negative PEL successfully treated with R-COP chemotherapy protocol