Volume 9 | Issue 7

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Non-invasive, hemoglobin, anaemia, image processing

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The emotions evolved in face have an excellent influence on decisions and arguments about various subjects. In psychological theory, emotional states of an individual are often classified into six main categories: surprise, fear, disgust, anger, happiness and sadness. Automatic extraction of those emotions from the face images can help in human computer interaction also as many other applications. Machine learning algorithms and particularly deep neural network can learn complex features and classify the extracted patterns. In this paper, a deep learning based framework is used for human emotion recognition. The proposed framework uses the feature extraction then a Convolutional Neural Network (CNN) for classification. The experimental results show that the proposed methodology increases both of the speed training process of CNN and therefore the recognition accuracy.

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Depthwise Separable Convolution, XCeption Model, XGBoost Algorithm

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Social Skills Training, Parents, Teachers, Disabled Adolescents, Special Needs

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For low-cost isolated ac/dc power converters adopting high-voltage dc-link, research efforts focus on single-stage multilevel topologies. This paper proposes a new single-stage three-level isolated ac/dc PFC converter for high dc-link voltage low-power applications, achieved through an effective integration of ac/dc and dc/dc stages, where all of the switches are shared between two operations. With the proposed converter and switching scheme, input current shaping and output voltage regulation can be achieved simultaneously without introducing additional switches or switching actions. In addition, the middle two switches are turned on under zero current in discontinuous conduction mode operation, and the upper and bottom switches are turned on under zero voltage. Due to the flexible dc-link voltage structure, high power factor can be achieved at high line voltage

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DC to DC converter

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Knowledge economy, industrialization, modernization, knowledge and ho chi minh city

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Work Motivation, Descriptive Survey method, Random sampling, Gender, Locality, Age, Nature of school, Type of management, Year of experience and monthly income.

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The liposome is firstly described in 1961 at Babraham institute by Alec D Bangham. The liposomal drug delivery system is an efficient drug delivery system. It is both hydrophilic and lipophilic groups hence it is most convenient to bypass gastric degradation. They are spherical lipid bilayers that consist of an aqueous core. They have a cell membrane-like structure i.e., phospholipid bilayer. Hence, they can easily fuse with cell membranes and enter the cell by endocytosis. In this way, liposome releases their drug in cells. There are various liposomal types according to their uses i.e., immune liposomes, cationic liposomes, long-circulating liposomes, and pH-sensitive liposomes. The cationic liposomes are used to carry DNA. The immune liposomes contain immunological adjuvant which enhances immunological response. pH-sensitive liposomes are used to avoid degradation in lysosomes. Long circulating liposomes are having more molecular weight groups to extend their life. They are widely used in fungal infection, cancer therapy, as DNA vaccine, respiratory diseases, viral diseases, and other diseases. They are recently mostly used in mRNA vaccines and liposomal amphotericin B antifungal drugs. The mRNA vaccine is consisting of lipid nanoparticles, which are made by Pfizer and Moderna companies. The liposomal preparation of amphotericin B reduces nephrotoxicity and amphotericin B is the first line treatment for fungal infections like mucormycosis, systemic fungal infections via intravenously or intrathecally including systemic candida, cryptococcus, blastomycosis, and histoplasmosis17. They are also used in dietary and nutritional supplements recently. They are easy to target specific tissues by passive or active targeting of liposomes. In passive liposomes, there are simple liposomes that are taken up by the liver. Inactive targeting of liposomes, they are targeted in such a way there is the interaction like a drug with receptors (a plug with socket).

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Liposome, structural components of liposomes, Method of preparation of liposomes, Targeting of liposomes.

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components, big data Architecture, Big data security architecture, cloud computing, Big Data Analytics and Technologies for Big Data, MapReduce, Hadoop Map

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Wind Turbine, Environment and Deforestation

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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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Student, Social Media, Education, Facebook, Twitter

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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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: 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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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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sorting; complexity; smallest; algorithm.

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

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

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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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Information Extraction, Natural Language Processing, Bootstrapping Pattern Learning

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

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