Foregrounding accessibility for user experience design

textI am interested in creating generative tools and techniques for designing accessible user experiences for end users. As a user experience designer, I am working on embracing the web accessibility standards and guidelines and including them from the beginning of the User Experience (UX) design process. My projects are directed at facilitating design students and professionals to understand two things: that the broad concept of web accessibility is important, and how they can embed web accessibility into the UX design process at a very early stage. To do this, I used different media (website, posters and videos etc.) to create awareness and educate designers in an interesting, simple and engaging way. In this report, I will discuss the definition and role of accessible design, identify limitations in existing tools and methods, and demonstrate how future designers might research, prototype, analyze, and implement their designs for all users.Desig

Capital Age and Labor Investment Efficiency

This study examines how capital age affects the efficiency of corporate labor investments. Using a sample of 1,588 US firms from 1991 to 2016, we find that the efficiency of labor investments increases as technology ages. Subsample analysis on labor investment efficiency suggests that old capital decreases labor over- and underinvestment. Our results remain robust to alternative specifications and restricted to small firms and industries requiring high labor skills. These findings add to the growing literature examining how learning affects a variety of phenomena in finance. Managers\u27 increased understanding of their capital over time facilitates the efficiency of corporate labor investments

RESILIENCE TO CRUDE OIL: AUSTRALIAN EVIDENCE ON LITIGATION FUNDING

Using daily data from January 2011 to November 2020, this study examines the return shocks between crude oil and litigation funding in Australia. Based on Diebold and Yilmaz’s (2012) return spillover effects, we find evidence that litigation funding and the crude oil market share a lower degree of return shocks connectedness, relative to the overall stock market. Further, the oil price crashes (including the COVID-19-induced oil price crash) are also weakly correlated to the return shocks connectedness between litigation funding and the crude oil market. Our findings suggest that litigation funding is mainly immune from economic disruptions. These findings are of interest to policymakers, market participants, and crude oil investors in comprehending the spillover effects of crude oil on other sectors of the economy.&nbsp

Does Absorptive Capacity Protect Shareholder Wealth in Times of Crisis? Evidence from the COVID-19 Pandemic

R&D capital increases firms’ ability to identify, absorb, and utilize new external information. Firms with absorptive capacity become resilient to external shocks while providing an opportunity to protect shareholder wealth during a crisis period. This study examines the role of firms’ absorptive capacity in protecting shareholder wealth around the COVID-19-induced stock market crisis. Our findings report that firms’ absorptive capacity is positively related to stock returns of US firms during the COVID-19 pandemic. This positive relationship exists irrespective of investor attention and is robust to the propensity-score-matching approach. Overall, the results imply that R&D capital makes firms resilient to external shocks

Content adaptive single image interpolation based super resolution of compressed images

Image Super resolution is used to upscale the low resolution Images. It is also known as image upscaling .This paper focuses on upscaling of compressed images based on Interpolation techniques. A content adaptive interpolation method of image upscaling has been proposed. This interpolation based scheme is useful for single image based Super-resolution (SR) methods .The presented method works on horizontal, vertical and diagonal directions of an image separately and it is adaptive to the local content of an image. This method relies only on single image and uses the content of the original image only; therefore the proposed method is more practical and realistic. The simulation results have been compared to other standard methods with the help of various performance matrices like PSNR, MSE, MSSIM etc. which indicates the preeminence of the proposed method

Abnormally invasive placenta: an overview of diagnosis and management options

Background: Abnormally invasive placenta, also known as morbidly adherent placenta, is a broad term that describes abnormal adherence of placenta to the underlying myometrium. Clinical risk factors include placenta previa and prior uterine surgery, including caesarean delivery. The diagnosis and management of women at risk is not only based on clinical parameters, but also driven by imaging, namely ultrasound and more recently magnetic resonance (MRI) imaging.Methods: This is a retrospective analysis of 10 cases of abnormally invasive placenta undertaken at Guru Gobind Singh Medical College and Hospital, Faridkot.Results: Hysterectomy done in six cases and uterus was preserved in four cases. Foetal outcome was on average side. Four foetal losses noted two because of prematurity and two due to excessive blood loss admitted with intra uterine foetal death. Two babies needed NICU care but successfully discharged.Conclusions: Newer approaches should be considered investigational until larger prospective series to become available, until then hysterectomy should remain the stay of treatment specially when the family is complete and there is life threatening Haemorrhage

Undergraduate Students' Experiences of Their Mathematical Identity

This research study explored how undergraduate mathematics students perceive themselves as capable mathematics learners and whether gender differences exist in the undergraduates students' perceptions. The research was framed by three approaches of understanding identity: self-efficacy, environment, and four faces of learner's identity. A mixed methods approach to the study was used where data were collected from interviews and an online questionnaire. Data analysis revealed that undergraduate mathematics students' perceptions of their mathematical identity as capable mathematics learners are influenced by their perceptions of their experiences such as: (a) perceptions of having previous knowledge of the course, (b) being able teach others and others understand it, (c) being recognized by their professors, (d) contributing and fitting in, (e) having opportunities to interact with their peers, and (f) being able to fit in with their image of a capable mathematics learner

Desarrollo y evaluación de microesfera de seda Fibroin cargado de isoniacida

Aim: Current experimental investigation is dedicated to prepare microspheres with small size and good sphericity by Phase Separation method using Isoniazid (INH) as model drug. Silk fibroin has unique intrinsic qualities like biodegradability, biocompatibility or release properties and their tunable drug loading capacity. The delivery loading proficiency of the drug molecules in silk spheres be contingent on their charge, and hydrophobicity or subsequent in altered drug release profiles. Methods: In the present work Isoniazid loaded silk fibroin microsphere was prepared by using phase separation method. Microsphere was evaluated for Ultraviolet-visible spectroscopy, Fourier Transform infrared spectroscopy, Entrapment efficiency, Scanning electron microscopy Studies. Results: Scanning electron microscopy studies revealed that Isoniazid Loaded Silk Fibroin Microspheres were spherical. Entrapment Efficiency of Isoniazid loaded Microspheres of different Formulation from F1 to F5 was in range of 53 to 68 %. F3 showed 68.47 % entrapment Efficiency and the optimized formulation drug release was 93.56 % at 24 hours. Conclusion: Experimental report disclosed a new aqueous based formulation method for silk spheres with controllable shape or size and sphere. Isoniazid loaded silk microspheres may act as ideal nano formulation with elaborated studies.Objetivo: La investigación experimental en curso está dedicada a la preparación de microesferas de pequeño tamaño y buena esfericidad mediante el método de separación de fases con isoniazida (INH) como fármaco modélo. La fibroina de seda tiene cualidades intrínsecas únicas como la biodegradabilidad, biocompatibilidad o propiedades de liberación y su capacidad de carga de fármacos ajustable. La aptitud de entrega de carga de las moléculas de fármaco en las esferas de seda estar supeditada a su carga, y la hidrofobicidad o subsiguiente alteración en los perfiles de liberación de fármacos. Métodos: En el presente trabajo la microesfera de fibroina de seda cargada de isoniazida fue preparada utilizando el método de separación de fases. La microesfera fue evaluada por espectroscopia ultravioleta-visible, espectroscopia infrarroja con transformado de Fourier, se midió la eficiencia de atrapamiento y se estudios mediante microscopia electrónica de barrido. Resultados: Estudios con el microscopio de escaneo de electrones revelaron que las microesferas de fibroina cargada de isoniazida eran esféricas. La eficacia de atrapamiento de las microesferas de formulación diferente de F1 a F5 estuvo en el rango de 53 a 68 %. F3 mostró un 68,47 % de eficiencia de atrapamiento y tras optimizar la formulación de liberación de fármacos fue de 93,56 %, a las 24 horas. Conclusión: Esta investigación reveló una nueva formulación de base acuosa para las esferas de seda con forma controlable o la forma y el tamaño de la esfera. Las microesferas de seda cargadas de isoniazida pueden actuar como ideal formulación nano con estudios elaborados

A Hybrid Approach for Recommendation System based on Web Mining

The significant issue of many on-line sites is the introduction of numerous decisions to the customer at once; this for the most part brings about strenuous and tedious in finding the correct item or data on the site. In the traditional methodologies, KNN based classification strategies were utilized which depended on suggestion handle. These have some real issue if the information differs. The arrangement approaches that were utilized as a part of customary work are fit just if the data variation is inside the cluster that they have. However, in the event that the data goes out of bound it is hard to perform classification. In this way, there is a need to include a classifier approach that can work in such conditions. For this, a hybrid approach comprising of Multi-Layer ANN and k-NN is proposed in order to take proper choices if there should be an occurrence of data variation. The proposed idea introduces an intelligent approach which captures the clients going out of bound and adds them into the cluster, so that they can be recommended to the user and no client is skipped

Post-secondary students’ enactment of identity in a programming and mathematics learning environment

International audienceThis paper draws from year one of a 5-year research study that seeks to examine how post- secondary mathematics students learn to use programming as a computational thinking instrument for mathematics. It focuses on how post-secondary mathematics students’ identities as mathematics learners are enacted as they engage in a programming-based mathematical investigations and applications learning environment. Specifically, the paper offers a discussion of a case of one student’s enactment of his identity while simultaneously learning to program and to use it for this kind of mathematical work. This paper highlights the importance of identity in learning mathematics and its role in the development of productive dispositions in learning to program for mathematics investigation and modeling