Volume 9 | Issue 7

 Abstract

Social Media can be a great way to engage your student population and ensure they are made aware of student-cantered activities on campus. Another area where the role of social media in education is becoming apparent is in recruitment and admissions. The use of social media is growing and has almost become a utility in many cultures. Colleges tend to be behind the curve in the adoption of using social media in their educational strategy and have not put a lot of time how to overcome the obstacles. Research paper is based on secondary sources.

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 Keywords

Student, Social Media, Education, Facebook, Twitter

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 Abstract

This paper assesses the effect of mindfulness and resilience on emotional competence of youth. For this purpose, 112 Youth (56 males and 56 females) took Five facet mindfulness scale(Baer,2006) Brief Resilience scale (Smith, 2008) and Emotional competence scale (Sharma & Bhardwaj,2008). Mindfulness is the basic human ability to be fully aware of their actions and their present which helps in reducing stress, gaining insight and attention. Resilience is the ability to bounce back from adverse situations where as according to Boyatzis et al (1999) emotional competence is how a person demonstrates the competencies that comprises of self-awareness, self-management, social awareness, and social skills at appropriate times. The results indicate a significant positive relationship between mindfulness, resilience and emotional competence. Further mindfulness and resilience positively predicts emotional competence of Youth. No significant gender difference was found with respect to the level of mindfulness, resilience and emotional competence

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 Keywords

: mindfulness, emotional competence, resilience

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Iris cysts are a rare pathology, even more so in children. They develop asymptomatically and can, in some cases, have an impact on the anterior segment (glaucoma, endothelial damage, lens luxation). The treatment is not codified, and remains to be defined on a case-by-case basis, depending on the situation, size and morphology of each cyst. We report the case of a 5-year-old child, with no particular pathological history, who consulted for a bad visual behavior (squinting, approaching objects). The ophthalmological examination revealed a visual acuity of 2/10 in the right eye and 1/10 in the left eye. Slit lamp examination identified pigment epithelial cysts around the pupillary rim of the eyes. The intraoculaire pressure was correct and the lens was clear. The fundus was unremarkable. We completed the examination with a refraction under cycloplegia which showed a myopia of -6 dioptres on the right and -6.50 on the left. The visual acuity increased to 6/10 in both eyes after the refraction.

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 Keywords

Bilateral peripupillary pigment epitheliumiris cysts ,Primitive cysts of the pigment epithelium,iris flocculi

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Sorting is the process of organising data or specific elements into meaningful order so that analysis can be done more efficiently. In this paper, we are intending to introduce a new sorting algorithm called Least-First Sort. In this technique, after each stage of comparison, the smallest element will come first. We have compared the algorithm with other sorting algorithms. We have done the comparison with 10000 to 60000 elements. To the best of our knowledge, the newly proposed algorithm results the least run time than Bubble Sort and Selection Sort.

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 Keywords

sorting; complexity; smallest; algorithm.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 Keywords

Azelnidipine, UV spectroscopy, method development and validation, ? max.

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The problem that policy makers face in kerala now a days is to effectively and efficiently balance the twin themes of economic development and at the same time minimizing the damage to the environment. Kerala, known for its paradoxical social development not matched to economic development, have extensive environmental awareness .along with this they possess societal and environment responsibility .but Kerala today faces problems like pollution , severe traffic noise, non-availability of pure water, limitations in disposal etc. therefore the keralite want to unravel these problems seriously as they affect their well-being. This green awakening force then to avail the green products. Thus the prominence of green products assumes significance during this context. This paper tries to research the factors which impede the demand for environment friendly products by the population of Kerala.

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 Keywords

environment, economic development, environmental awareness, environment friendly goods.

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 Abstract

The prediction of stock value is a complex task which needs a robust algorithm background in order to compute the longer-term share prices. Stock prices are correlated within the nature of market; hence it will be difficult to predict the costs. The proposed algorithm using the market data to predict the share price using machine learning techniques like recurrent neural network named as Long Short-Term Memory, in that process weights are corrected for each data points using stochastic gradient descent. This system will provide accurate outcomes in comparison to currently available stock price predictor algorithms. The network is trained and evaluated with various sizes of input data to urge the graphical outcomes.

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 Keywords

close, open, high, low, volume ,LSTM model and regression .

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 Abstract

Caste system is a predominant feature of the social structure in India. It is an inscriptive system of status and hierarchy. It is pervasive and all embracing and controls and defines all social, economic and political relationships for the individual. Recently, it has been argued that political competition may have similar effects on economic performance as market competition. This study empirically examines the role of caste in Indian politics. At the same time, it also envisages the role of women in Indian politics and the challenges they face in managing their responsibilities.

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Caste, Indian Politics, Women participation, Democracy, Equality, Legislative Principles

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The automatic extraction of information from unstructured sources has opened up new avenues for querying, organizing, and analyzing data by drawing upon the clean semantics of structured databases and the abundance of unstructured data. The ?eld of information extraction has its genesis in the natural language processing community. The primary impetus came from competitions centered around recognizing named entities like people names and organizations from news articles. This paper surveys Bootstrapping Pattern Learning Techniques in Information Extraction and presents detailed talk of the algorithms and the relative pros and cons of the techniques used. We also study the problems various authors attempt to solve and analyze when it is appropriate to utilize a bootstrapping algorithm.

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 Keywords

Information Extraction, Natural Language Processing, Bootstrapping Pattern Learning

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 Abstract

The review gives brief introduction about process and degradation related impurities and emphasizes on the development of analytical methods for their determination. It describes modern analytical techniques, particularly the HPLC, MS, TLC NMR. The significance of quality, efficacy and safety of drug substance/products including the source of impurities, kinds of impurities; adverse effects by the presence of impurities, quality control of impurities, necessity for development of impurity profiling methods, identification of impurities and regulatory aspects were discussed. Other important aspects that were described forced degradation studies and development of stability indicating assay methods.

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Impurity profiling, Classification of impurities, sources of impurities, Goals of impurities, Method of detection impurities

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Direct-neural interface, human-computer interaction, emotion detection, user experience, UX evaluation, EEG, Computer Games.

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Lactacuki was formulated for breastfeeding mothers due to its nutritional benefits. It is rich in ingredients that contains essential nutrient required for lactating mothers and also can serve as a galactogogue. There are many varieties of recipes for lactating mothers but the main ingredients used in the making of lactacuki are whole wheat flour, sathu powder, oat flour, shatavari powder, flax seeds powder, sesame seeds. The product was finalized after the third trial using sensory evaluation method. Shelf-life study was conducted for 4 weeks and it was evaluated after every one week on characteristics like Shape, Mouthfeel, Taste, Color, Texture, Overall acceptability. Additionally, nutrition label was designed, packaging material was selected, and budgeting was done. Marketing was carried out using digital platform and selling through known contacts was also done.

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Lactacuki, shatavari powder, galactogogue

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Abstract Background Proper perineal care is necessary for healing in perineal area after delivery . It is important that a woman understands how to correctly care for her perineum after childbirth before leaving the hospital. Objective- Aim of the present study is to develop and evaluate the effectiveness of a Planned Teaching Programme on effectiveness of perineal care among post natal mothers Methods The conceptual Model for this study is based on System Model. Research design of An evaluative approach was used to evaluate the effectiveness of PTP through the difference between the pre test and post test score of postnatal mothers regarding perineal care ,the research study conducted was pre-experimental study and Sample size taken was 50, Convenient sampling technique was used. Then, the data was subjected and analysed by descriptive and inferential statistics. Descriptive statistics include frequency, mean, median, mean percentage, median, standard deviation was used to explain the demographic variables and to compute the level of knowledge, and inferential statistics include t-test and chi-square. Results The average knowledge score in 50 samples in pre-test is 12.64.The average knowledge score in 50 samples in post-test is 16.76.Reliability was calculated and came to be 0.96.The Chi square value was calculated and found to be 50.6 Highly significant difference was between pre-test and post test scores demographic variables of post natal mothers. (p>0.005) was been found.

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postnatal mothers ,perineum

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 Abstract

Modular Construction is a term used to portray the utilization of manufacturing plant which creates pre-engineered constructing units that are conveyed to site and gathered as enormous volumetric segments or on the other hand as significant components of a structure. The measured units may shape total rooms, portions of rooms, or separate profoundly overhauled units like latrines . The assortment of discrete measured units as a rule frames a self-supporting construction by its own doing or, for tall structures, may depend on a free primary system.

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 Keywords

covid-19, Isolation unit, Modular Construction,

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 Abstract

Smart CCTV Camera is basically implemented using Machine Learning in python. This project mainly focuses on how can we bring the changes in the traditional CCTV. Manual way of taking attendance is classroom is very difficult task. The main objective of this work is to reduce human task and make attendance system efficient and reduce time consumption. The proposed system is made by use of face detection and recognition algorithms. This system records attendance by using recognition technology. In this system, faces will be recognized and then attendance is marked and stored in the database which can also be exported. This will be very useful for security purpose and in can be implemented in all real-time security applications.

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 Keywords

Face Detection, recognition

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vital signs, FPGA, VHDL, lm35, sen11574, 16*2 LCD

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Background: BRUGADA syndrome is a rare hereditary channelopathy characterized by cardiac arrhythmia, nocturne epilepsy with/without genitosphincterian disturbance, the diagnosis remains a challenge as patients are often young and asymptomatic. Missing or delayed diagnosis can result in severe cardiac complications such as sudden death. Medical case: here we report the case of a 56-year-old woman, with history of epilepsy and resuscitated death two years ago, who presented with recurrent nocturne syncope and fever, An ECG performed and showed an elevation of ST segment in v1 and v2 leads. The TTE and coronarography are without abnormalities, evoking a Brugada syndrome. Conclusion: The early diagnosis of cardiac arrhythmia in patient with Brugada syndrome could help to prevent severe complications, reduce the morbidity and mortality, and improve the outcome of patients.

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 Keywords

BRUGADA syndrome. Arrhythmia. Sudden cardiac death. Risk stratification

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 Abstract

As innovation upgrades it turns out to be less expensive in cost, more open, and easy to use by all, its applications are progressively profiting all the industrial sector and more in a medical services industry... In order to expedite the process, from disease diagnosis, regular health monitoring to drug delivery while handling pandemics like Covid-19 and emergencies, the use of the latest technology may become the game-changer. In this project, we are proposing an "Automatic Nurse Assistant Robot". It will enhance the performance of medical staff and empowered them to tackle medical emergencies efficiently. The new carrier robot uses a health tracker system-based IoT platform to analyze all the real-time data related to the patient, such as oxygen level, pulse rate, and Temperature, etc. The primary objective of the project is to take care of and track the wellbeing boundaries of the patient's health condition by the use of voice commands, text commands, and also from the database of a cloud server (Adafruit IO, Google Assistant, and IFTTT) with a high level of security by the use of Relays and Sensors over the Internet. The project incorporates some advanced sensors like an oximeter sensor, ECG sensor, and Infrared sensor with LCD. The Internet of Things technology is used to store and retrieve data through the Internet or local areas using HTTP and MQTT protocols. The main goal is to create affordable smart automation so that it reaches out to all sections of the society.

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 Keywords

Arduino, MQTT, Adafruit IO, IFTTT, Google Assistant

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 Abstract

Productive online cattle health monitoring can help those farmers who suffer on a regular basis due to the poor health condition of their cattle and unavailability of good veterinary doctors in their vicinity. In this paper, we present such a device which provides an opportunity to the farmers to monitor and compare the present health parameters of the cattle with the standard reference healthy parameters, by which they would be able to spot any deterioration in the cattle's health. To prepare such a device for real time application, MSP430 microcontroller module and different types of sensors for taking the cattle body parameters have been used. This paper focuses mainly on the parameters like heart rate, temperature, and body humidity of the cattle.

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Cattle, GSM, Sensors, Monitor ,Temperature, Humidity, Heart Beat, GSM

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Brain Interface (BI), Brain Computer Interface (BCI), Brain Machine Interface (BMI), Neural Control Interface, NCI, MMI, DNI, artificial intelligence, data analytics. computer models

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Creative Commons Attribution 4.0 and The Open Definition