The Lagging Behind of Indian Education System

Education enables the humans to achieve their fullest mental and physical potential in both personal and social life The importance of education cannot be overemphasized Education participates critically in building individual endowments and abilities it drives social and economic development at the national level India with more than a billion residents has the second largest education system in the world after China As of the beginning of 2017 according to experts estimates 29 7 of the population of India has been in the age group 0-15 years But counter to the image of India as a youthful engine of economic growth where many citizens work in some of the best technology centered jobs in the world HRD ministry statistics demonstrate a significant decline in national primary school enrollments If India s population is not trained to face the globalized world we will soon become a nation of servants clerks The below Article is about the defects in our present system of Education Read it mindfully for learning why a radical change is the need of the hou

Comparison of high level design methodologies for algorithmic IPs : Bluespec and C-based synthesis

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.Includes bibliographical references (leaves 37-39).High level hardware design of Digital Signal Processing algorithms is an important design problem for decreasing design time and allowing more algorithmic exploration. Bluespec is a Hardware Design Language (HDL) that allows designers to express intended microarchitecture through high-level constructs. C-based design tools directly generate hardware from algorithms expressed in C/C++. This research compares these two design methodologies in developing hardware for Reed-Solomon decoding algorithm under area and performance metrics. This work illustrates that C-based design flow may be effective in early stages of the design development for fast prototyping. However, the Bluespec design flow produces hardware that is more customized for performance and resource constraints. This is because in later stages, designers need to have close control over the hardware structure generated that is a part of HDLs like Bluespec, but is difficult to express under the constraints of sequential C semantics.by Abhinav Agarwal.S.M

AN OVERVIEW ON MOUTH DISSOLVING TABLET: FROM MANUFACTURING AND PATENTED TECHNIQUE TO QUALITY CONTROL TEST

Due to the oral route’s comfort, convenience, and patient compliance, it is the most important and advised method for administering medications. The typical oral unit dosage form that is most frequently employed is the tablet. The patients experience problems swallowing during pill administration. Tablets called mouth dissolving tablets (MDTs) that quickly dissolve in the mouth without the need of water can lessen this issue. As a new drug delivery system, MDTs have begun to acquire recognition and appeal. By developing a simple-to-use dosage form that will increase compliance, they hope to increase the safety and efficiency of therapeutic molecules. For individuals with dysphasia, such as children, the elderly, and those who are mentally ill, mouth dispersing medications are becoming more reliable. The introduction, benefits, drawbacks, excipients employed, different formulation procedures, and evaluation factors are all covered in this review

Shapes of Emotions: Multimodal Emotion Recognition in Conversations via Emotion Shifts

Emotion Recognition in Conversations (ERC) is an important and active research area. Recent work has shown the benefits of using multiple modalities (e.g., text, audio, and video) for the ERC task. In a conversation, participants tend to maintain a particular emotional state unless some stimuli evokes a change. There is a continuous ebb and flow of emotions in a conversation. Inspired by this observation, we propose a multimodal ERC model and augment it with an emotion-shift component that improves performance. The proposed emotion-shift component is modular and can be added to any existing multimodal ERC model (with a few modifications). We experiment with different variants of the model, and results show that the inclusion of emotion shift signal helps the model to outperform existing models for ERC on MOSEI and IEMOCAP datasets.Comment: 13 pages, Accepted at Workshop on Performance and Interpretability Evaluations of Multimodal, Multipurpose, Massive-Scale Models, COLING 202

A perception of medical students about role of cinema on mental health

Background: Among few of the recreational activities of students are sports and watching cinema. Movies are found to be powerful instruments in influencing the attitudinal changes, emotional impact, education, life styles, health and other behaviours. Objectives 1. Choice of cinema among medical students 2. Perceived effects of watching cinema on study participants. Methods- This was a cross sectional study carried out among undergraduate medical students. Sample size: 153. Result: Age of the participants ranged from 18-29 years averaging 21.43 years. Bollywood movies were the most commonly watched by 113 (73.9%) followed by Hollywood movies watched by 104 (68%) study participants.77 (50.3%) participants believed that movies showing sexual violence against females badly affect the psyche of females

Stronger Generalization Guarantees for Robot Learning by Combining Generative Models and Real-World Data

We are motivated by the problem of learning policies for robotic systems with rich sensory inputs (e.g., vision) in a manner that allows us to guarantee generalization to environments unseen during training. We provide a framework for providing such generalization guarantees by leveraging a finite dataset of real-world environments in combination with a (potentially inaccurate) generative model of environments. The key idea behind our approach is to utilize the generative model in order to implicitly specify a prior over policies. This prior is updated using the real-world dataset of environments by minimizing an upper bound on the expected cost across novel environments derived via Probably Approximately Correct (PAC)-Bayes generalization theory. We demonstrate our approach on two simulated systems with nonlinear/hybrid dynamics and rich sensing modalities: (i) quadrotor navigation with an onboard vision sensor, and (ii) grasping objects using a depth sensor. Comparisons with prior work demonstrate the ability of our approach to obtain stronger generalization guarantees by utilizing generative models. We also present hardware experiments for validating our bounds for the grasping task

Internet of Things and its enhanced data security

The Internet of Things (IoT), an emerging global Internet-based technical architecture facilitating the exchange of information, goods and services in the internet world has an impact on the security and privacy of the involved stakeholders. Measures ensuring the architectures resilience to attacks, data authentication, and access control and client privacy need to be established. This paper includes a survey of IoT and various security issues related to it. Furthermore, out of all security issues, concern over data authentication and transfer is taken into consideration. Here we will discuss the idea for two levels of security in form of two different approaches i.e. Advance Encryption Standards (AES) and the Steganography approach via an image and the simulating of these two logics in the MATLAB

Nationwide Trends in Inpatient Admissions of Pulmonary Hypertension in the United States from 2000 to 2013

Introduction: Pulmonary Hypertension (PH) is a disorder of the pulmonary vasculature with high mortality and bears a large economic burden on the healthcare system. We conducted a review of the largest inpatient database in the United States and analyzed the trends in hospitalizations due to PH from the turn of the century (2000) to 2013 to evaluate the rate of hospitalizations and determine the cost and mortality associated with PH. Material and methods: We analyzed the National Inpatient Sample Database (NIS) for all patients in which PH (Primary or Secondary) or cor pulmonale was the primary discharge diagnosis (ICD-9: 416.0, 416.8 and 416.9) from 2000 to 2013. The NIS is the largest all-payer inpatient database in the United States and contains data from approximately 8 million hospital stays each year. The statistical significance of the difference in the number of hospital discharges, lengths of stays and associated hospital costs over the study period was calculated. Results: In 2000, there were 12,066 hospital admissions with the principal discharge diagnosis of pulmonary hypertension, which increased to 13,605 admissions in 2013 (p \u3c 0.001). The mean length of stay for PH increased from 5.89 days to 6.67 days during this period (p = 0.04). During the same period, the hospital charges increase by 174.5% from US$24,973 in 2000 to US$ 68,545 in 2013 (Adjusted for inflation). The aggregate cost of hospital visits of a patient increased by 209.5% from US$301,324,218 in 2000 to US$ 932,554,725 in 2013. Conclusion: The number of inpatient discharges related to PH has increased even though the number of inpatient discharges with PAH has been reported to be lower in literature. The mean length of stay has also shown a mild increase. This increase is associated with a significant increase in the mean and aggregate cost. These inpatient costs associated with PH contribute significantly to the total healthcare burden. Further research on cost-effective evaluation and management of PH is required

Nationwide trends in inpatient admissions of pulmonary hypertension in the United States from 2000 to 2013

  INTRODUCTION: Pulmonary hypertension (PH) is a disorder of the pulmonary vasculature with high mortality and bears a large economic burden on the healthcare system. We conducted a review of the largest inpatient database in the United States and analyzed the trends in hospitalizations due to PH from the turn of the century (2000) to 2013 to evaluate the rate of hospitalizations and determine the cost and mortality associated with PH. MATERIAL AND METHODS: We analyzed the National Inpatient Sample Database (NIS) for all patients in which PH (Primary or Secondary) or cor pulmonale was the primary discharge diagnosis (ICD-9: 416.0, 416.8 and 416.9) from 2000 to 2013. The NIS is the largest all-payer inpatient database in the United States and contains data from approximately 8 million hospital stays each year. The statistical significance of the difference in the number of hospital discharges, lengths of stays and associated hospital costs over the study period was calculated. RESULTS: In 2000, there were 12,066 hospital admissions with the principal discharge diagnosis of pulmonary hypertension, which increased to 13,605 admissions in 2013 (p < 0.001). The mean length of stay for PH increased from 5.89 days to 6.67 days during this period (p = 0.04). During the same period, the hospital charges increase by 174.5% from US$24,973 in 2000 to US$ 68,545 in 2013 (Adjusted for inflation). The aggregate cost of hospital visits of a patient increased by 209.5% from US$301,324,218 in 2000 to US$ 932,554,725 in 2013. CONCLUSIONS: The number of inpatient discharges related to PH has increased even though the number of inpatient discharges with PAH has been reported to be lower in literature. The mean length of stay has also shown a mild increase. This increase is associated with a significant increase in the mean and aggregate cost. These inpatient costs associated with PH contribute significantly to the total healthcare burden. Further research on cost-effective evaluation and management of PH is required.

Versatility of type-II van der Waals heterostructures: a case study with SiH-CdCl2

Unlike bilayers or a few layers thick materials, heterostructures are designer materials formed by assembling different monolayers in any desired sequence. As a result, while multilayer materials come with their intrinsic properties, heterostructures can be tailor-made to suit specific applications. Taking SiH-CdCl 2 as a representative system, we show the potential of heterostructures for several applications, like piezoelectricity, photocatalytic water splitting, and tunnel field effect transistor (TFET). Our study confirms that the characteristics of the heterostructure mainly depend on the potential difference between the constituent monolayers. From the vast database of available layered materials, many such combinations with a suitable potential difference are expected to have similar properties. Our work points to a vast pool of assembled materials with multifunctionality, an excellent asset for next-generation device applications