12137 research outputs found
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Online Learning Management System
Online Learning websites have completely altered the learning, course search, or learning process. Instructors and Students can now search and enroll in learning courses from the convenience of their own homes. The student/instructor can use an online learning website to find courses that align with their interests and career path. An Online Learning Management System may significantly improve a student’s course application process and an instructor’s enrolling process for their courses by utilizing the internet (Jeremy Roschelle, 1992). Seeking and enrolling in a course has grown simpler, more accessible, and faster in recent years.
One of the primary features of enrolling in a course online is the availability of a wide range of categories of subjects for the courses. Course seekers may simply enroll in a broad range of courses by logging in and browsing the courses in the dashboard. Apart from that students can view their courses any time by logging in to the web application and entering the student homepage.
Similarly, internet course enrollment services may assist instructors in expediting their enrollment process. Instructors can easily create, update, or disable their courses in the web application with a few clicks. As a result, Online Learning Management Systems save them time and effort.
The cost of walk-in enrollments would be too high for the instructor. Aside from transportation and meals, the instructor must also invest capital in professional clothing and cannot present multiple courses at a single stretch. The Online Learning Management System allows the instructor to host his courses in the web application without breaking the bank.
In the proposed Online Learning Management System, the students and instructors can register themselves in the application. Students and instructors are assigned different roles. The student can see a list of courses and can apply to any course that matches his/her interest or career path. Similarly, instructors can add new courses and view their profits in the dashboard when students purchase his/her course.
To implement the frontend module of the project Bootstrap, jQuery, JavaScript and HTML5 is being used. Java and Spring boot MVC is being used for the backend module of the web application. MySQL is used to store the user and course data.
The web application consists of two different roles as follows: the users with student roles will be able to view a course title, instructor name, and brief description of the course and purchase the course by providing their credit/debit card details. The instructor role user can create, edit, and disable their course in the web application after registration
Rakshak (Hire a Friend)
In today’s busy world, people or families always needs support through some or other means to move forward with their daily routine life. For example: On a daily life routine, we may have come across situations where we may need skilled resources to help us for “Ex: House Keeping”, “Shifting apartments”, “Plumbing or Electrical Appliance Maintenance”, “Wall Painting…etc”. But, while we try to contact the resources we need (contacts through several sources), we often come across many challenges which are as documented below: Fit for purpose (Does the resource has relevant skill set). Manual effort is always required. We need to connect with neighbors or go through search engines as we don’t have a quick medium or channel to support. Delay or lack of communication channel. We may not be able to help the needy on-time. Finding resources within an accessible & practically feasible location.
Considering the above defined problem statement, we have developed a web application known as “Rakshak” (i.e.,) Hire a Friend which provides a technology platform to help and facilitate people / families with the required capabilities to find the skilled resources they need. “Rakshak” is going to be a communication channel & centralized platform which bridges the gap between “Needy Customers” & “Skilled Professionals”.
With our current presence in Industry 4.0 where we consistently see technology evolve progressively starting with cyberphysical systems, IOT’s, Cognitive computing, it’s always a known fact that 100% automation “of all day-to- day tasks” is never possible or it could become possible over a decade (which means there lies significant time). We still need “Skilled Human Resources” to accomplish certain basic tasks which don’t have an equivalent substitute. So, technology platforms built with thought processes like “Rakshak” will not only help digitization, but also purposefully help bridge the gap between “what we need” vs “finding the right fit for purpose”
Evaluation of Risk Adjustment Performance of Diagnosis-based and Medication-based Comorbidity Indices in Patients with Chronic Obstructive Pulmonary Disease
Objectives This study assessed risk adjustment performance of six comorbidity indices in two categories of comorbidity measures: diagnosis-based comorbidity indices and medication-based ones in patients with chronic obstructive pulmonary disease (COPD). Methods This was a population–based retrospective cohort study. Data used in this study were sourced from the Taiwan National Health Insurance Research Database. The study population comprised all patients who were hospitalized due to COPD for the first time in the target year of 2012. Each qualified patient was individually followed for one year starting from the index date to assess two outcomes of interest, medical expenditures within one year after discharge and in-hospital mortality of patients. To assess how well the added comorbidity measures would improve the fitted model, we calculated the log-likelihood ratio statistic G2. Subsequently, we compared risk adjustment performance of the comorbidity indices by using the Harrell c-statistic measure derived from multiple logistic regression models. Results Analytical results demonstrated that that comorbidity measures were significant predictors of medical expenditures and mortality of COPD patients. Specifically, in the category of diagnosis-based comorbidity indices the Elixhauser index was superior to other indices, while the RxRisk-V index was a stronger predictor in the framework of medication-based codes, for gauging both medical expenditures and in-hospital mortality by utilizing information from the index hospitalization only as well as the index and prior hospitalizations. Conclusions In conclusion, this work has ascertained that comorbidity indices are significant predictors of medical expenditures and mortality of COPD patients. Based on the study findings, we propose that when designing the payment schemes for patients with chronic diseases, the health authority should make adjustments in accordance with the burden of health care caused by comorbid conditions.https://opus.govst.edu/fac/1299/thumbnail.jp
States of Incarceration: Rebellion, Reform, and America’s Punishment System
Inspired by the George Floyd Rebellion, States of Incarceration examines the ongoing reconfiguration of mass incarceration as crucial for understanding how race, class, and punishment shape America today. The rise of mass incarceration has coincided with massive disinvestment in working-class communities, particularly communities of color, and a commitment to criminalize poverty, addiction, and interpersonal violence. As Jarrod Shanahan and Zhandarka Kurti argue, the present is a moment of transition and potential reform of incarceration and, by extension, the American justice system. States of Incarceration provides insights into the rise of mass incarceration and its recent history while focusing on the needs of campaigners struggling with the issues of police and prison abolition, as well as the challenges that lie ahead. It is essential reading for anyone concerned with these questions.https://opus.govst.edu/fac/1232/thumbnail.jp
Simulation of Soil CO2 Efflux under Different Hydrothermal Conditions Based on General Regression Neural Network
Soil respiration (Rs) is an important component of global carbon (C) cycle and represents the second largest C exchange between atmosphere and geosphere. Regression models have been widely applied to describe Rs process and its relations to environmental factors in terrestrial ecosystems. However, the development of these semi-empirical regression model needed a large number of observation data in order to chives a reliable result. The successful performance of the regression model was highly dependent on data quality. In this study, a general regression neural network (GRNN) model and six validated two-factor-semi-empirical regression models were compared to stimulate changes of Rs under the influence of soil temperature (Tsoil) and soil moisture (Wsoil) alone and combination in camphor forests in subtropical China. The results showed the GRNN model produced greater accuracy than the regression models in predicting Rs. The R2 ranged 0.773-0.809 for the six two-factor regression models, but 0.84 for the GRNN model, with calculated RMSE of 0.404-442 in the regression models compared to 0.20 in the GRNN model. The dataset expanded by GRNN model could better fit the semi-empirical model than the observation dataset, which indicated the GRNN model had satisfactory generalization properties. Additionally, the GRNN model revealed the non-linear relationship between Rs and Wsoil when Wsoil was not a limiting factor, while the regression models were hard to detect the internet linkage. Therefore, GRNN model can not only be considered as a method to provide more accurate predication of Rs in forest ecosystems, but also provide an optional scheme for studying Rs under extreme and long-term climate change.https://opus.govst.edu/fac/1170/thumbnail.jp
Telepractice, AAC & the SLP
As our whole profession shifts efforts toward telepractice post the myriad of COVID-19 pandemic mandates, has anyone wondered what happens to those who use augmentative and alternative communication (AAC)? How do we adapt our AAC services to increase access and continue providing support to our clients in need of AAC and their families? The answer lies in tele-AAC. So, what is tele-AAC you may ask? Tele-AAC is a unique type of telepractice in the field of speech-language pathology that requires technical expertise in both telepractice and AAC systems (Anderson, et.al, 2012). ASHA defines telepractice as the application of telecommunications technology to the delivery of speech-language pathology and audiology professional services at a distance by linking clinician to client/patient or clinician to clinician for assessment, intervention, and/or consultation. (ASHA, nd). Tele-AAC services range from direct services (where an AAC user receives real-time feedback on their device from an experienced clinician) to more indirect services (where novice practitioners and family members receive feedback to support the AAC user (Hall & Boisvert, 2014).https://opus.govst.edu/fac/1125/thumbnail.jp
Social Emotional Learning: Developing the Adolescent
During the latter part of the 21st century, social emotional learning (SEL) started being incorporated into the classroom in a meaningful way. While SEL has garnered enough attention to be included in school curricula throughout the United States as well as several other countries worldwide, research about the import and effect of SEL is relatively new (America Succeeds, 2019). The worldwide COVID pandemic has brought about challenges beyond the obvious serious health concerns. Byproducts of the pandemic include the increased need for coping mechanisms and problem solving, interpersonal interaction skills, as well as an understanding of identity development to help children handle emotional distress resulting from the numerous significant changes in their daily lives. However, many current SEL programs do not address these key areas of concern. It is the authors’ contention that an SEL curriculum which focuses on resilience as well as key indicators of identity development, coping mechanisms, and personal de-escalation techniques are necessary to effectively aid adolescents with navigating their current lives and building a positive future. This research proposes a new SEL program that fits the needs of adolescents and preteens as administered in the school system. Building on a previous program shown to significantly improve self-esteem and school cohesion and trust (Cipra & Hall, 2019), Gr2IT focuses on several key principles to help children develop social and emotional skills and resiliency in the classroom and beyond. A unique component of the program is the principle of identity. Because identity formation is a significant developmental task, understanding the reinforcing and bidirectional relation between behavior and identity is beneficial to adolescents. Gr2 IT incorporates principles of identity development throughout the curriculum. In conjunction with emotional regulatory practices, problem-solving strategies, and a social equity perspective, Gr2 IT introduces a holistic approach to social and emotional learning to support the positive development of youth. While Gr2 IT is currently being developed for American schools, many of the principles are universal to child development and may be adapted cross culturally.https://opus.govst.edu/fac/1111/thumbnail.jp
Pilot Study of a Culturally Sensitive Intervention to Promote Genetic Counseling for Breast Cancer Risk
Despite the benefits of genetic counseling and testing, uptake of cancer genetic services is generally low and Black/African American (Black) women are substantially less likely to receive genetic services than non-Hispanic White women. Our team developed a culturally sensitive, narrative decision aid video to promote uptake of genetic counseling among Black women at risk for a hereditary breast cancer syndrome that can be incorporated in conjunction with population-based cancer risk assessment in a clinical setting. We report here a pilot study to demonstrate changes in intention to access genetic counseling and intervention satisfaction.https://opus.govst.edu/fac/1161/thumbnail.jp
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