The presented research responds to increased mental illness conditions worldwide and the need for efficient mental health care (MHC) through machine learning (ML) implementations. The datasets employed in this investigation belong to a Kaggle repository named "Mental Health Tech Survey." The surveys for the years 2014 and 2016 were downloaded and aggregated. The prediction results for bagging, stacking, LR, KNN, tree class, NN, RF, and Adaboost yielded 75.93%, 75.93%, 79.89%, 90.42%, 80.69%, 89.95%, 81.22%, and 81.75% respectively. The AdaBoost ML model performed data cleaning and prediction on the datasets, reaching an accuracy of 81.75%, which is good enough for decision-making. The results were further used with other ML models such as Random Forest (RF), K-Nearest Neighbor (KNN), bagging, and a few others, with reported accuracy ranging from 81.22 to 75.93 which is good enough for decision making. Out of all the models used for predicting mental health treatment outcomes, AdaBoost has the highest accuracy.
The current study investigated several innovations for drone technology adoption in journalistic expeditions for intelligence and news gathering purposes. The necessity to leverage technologies to improve the direct involvement of eyewitnesses especially in violence-prone areas where physical and direct human involvement would be impossible or with high risk of survivability expectations is the motivating factor that directed the current research. The paper surveys the adoption of autonomous sensing drone systems in internet of things journalism and amalgamated the theoretic ingredients from the academic standpoint with realistic technological advancements from the global perspective and eventually expanded the propositions for conceivable adoption in the credible societal applications. The paper envisioned the future journalism and mass media practices and how drone innovation can revolutionize the journalism profession for the purpose of news and intelligence gathering with practical and technical realism with reduction of journalistic casualties.
The biomedical technology application of ultraviolet light device was reviewed in the current research in a manner to improve public healthcare safety. The research adopted ultraviolet light irradiation to enable elimination of hospital acquired infections caused by bacteria, viruses, and other pathogens within the healthcare facilities. The paper reviewed 12 related biomedical literature that discussed the topic of hospital disinfection using ultraviolet device technology. The paper observed that installation of autonomous internet of things 5G medical disinfecting device for continuous sterilisation of high-touch areas is important in the ongoing COVID-19 pandemic. The research concluded that installation of autonomous internet of things 5G ultraviolet device within the hospital facilities will provide a means for infectious surveillance that will effectively control the menace of hospital acquired infections through ultraviolet light irradiation as the susceptibility of hospital acquired infections are exceedingly high in the overcrowded healthcare centres.
Following the COVID-19 pandemic outbreak, many institutions immediately adapted multimedia electronic learning technologies, to provide enablement of electronic learning system, shifting from in-person classroom attendance to online synchronous and asynchronous transmissions. In the current paper, the goal of multimedia electronic learning system is reviewed through the combination of various pedagogical media tools that enabled wide range of curricula presentation. This study has considered four hundred postgraduate scholars from the faculty of computer science and information technology that adopted multimedia electronic learning systems to guarantee that the scheduled graduation date was not surpassed on the account of the institution lockdown. In this paper, the integrated system of creating personalized and self-directed learning through multimedia pedagogical methodology has been highlighted. The study sought to draw attention to the importance of creating an immersive and interactive learning environment using AI-mediated innovation, which provide students with the increased skills required to become cognizant and reflective digital natives. The paper has portrayed that an increased level of electronic engagement via interactive media tools, link to the requirements for the innovative educational transformation which demand an execution of educational curriculum. The educational goals and needs are first defined, and then the most effective learning environment for students has been designed.
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