Volume 9 | Issue 7

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SEO

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Malayalam Novel Study

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Novel study

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Shot blasting machine is broadly utilised for surface treatment and completing of castings to eliminate the deposits of the trim and centre blend to get the necessary surface quality and condition. Constructional and functional boundaries of shot-impacting machines are firmly identified with the proficiency of the shot-impacting activity. The essential cycle engaged with shot-impacting is the course of a grating specialist, accepting the type of heterogeneous blend. This heterogeneity is related with:1 organisation of different sorts of grating materials (for instance metal shots and scrap material isolated from the surface being treated,2 shape and size of shots and extent of specific grain size divisions. The fundamental rationale of this shot impacting machine is to eliminate interior scaling or rot brought about by oxidation. The interaction of this machine begins from container, corn meal (shots) moving with the assistance of air at explicit pressing factor travels through lancet which moves in straight movement with the assistance of screw jack assembly. The special Container is associated with engine which turns at explicit RPM which is synchronised with directly moving lancet. In shot Impacting machine 2 cycles happens for eliminating scaling.

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Shot blasting Machine, Surface treatment, Lancet, scaling

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to increase tempo of consruction activity the world over create the heavy pressure on existing land space

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geotextile synthetic fibre

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Judicial Interpretation shapes how the law is interpreted. It Puts the intention of the legislature at the forefronts. The lines between judicial interpretation, judicial activism and judicial overreach are extremely thin. Can the judiciary examine the gaps in the legislature, the answer is a resounding yes, can the judiciary interpret the law in such a way these gapping holes can be filed that is a question that needs some examination. It was thus considered pertinent by the author to discuss the Ritesh Singha v. State of U.P. to answer this question, in this case the supreme court had analysed whether voice samples can be used in criminal investigations when there was no provision in the Criminal Procedure Handbook that such practices can be permitted. It is interesting to study how the judiciary has interpreted the law in this case and thus the author has tried to explain judicial interpretation filing up blaring gaps in the legislature through the Ritesh Singha judgment. The author further adds details to this discussion by taking a step further in discussing how the purposive approach helps foster Judicial Interpretation in situations as mentioned in the Ritesh Singha judgment.

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Purposive Approach, Judicial Interpretation, Criminal Procedure, voice samples, privacy.

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To study the organisational climate of judicial officers of Bihar judicial services, 100 male and female judicial officers were selected to study the organisational climate of Bihar judicial services. For this purpose, organisational climate inventory was developed. In this inventory, 60 items are selected on 7 dimensions of organisational climate, to examine the organisational climate of judicial officers of Bihar judicial services. As per the interpretation of results the organisational climate of the female judicial officers was found to be higher than that of the male judicial officers, and the difference obtained between the two groups was also find to be significant at .01 level. Organisational climate plays an important role in judicial services as the effectiveness of judicial decisions and performance of judicial officers, which influence their style of work and enhance their performance and work engagement. therefore, in this research study developing a new model of organisational climate and it is clarified with the obtained results.

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Organizational climate, Job satisfaction, Judicial officers.

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When a network safety occasion happens, an individual needs to address the accompanying inquiries: what occasions are going on, where are the occasions happening, and how much harm has happened or will happen. This paper strongly prescribed to a network protection observing framework that gives connection of time-series occasion information, a visual portrayal of the security occasions, and gives a prescient figure of potential occasions dependent on known natural states. The reasoning for this comes from the need to have a general perspective on security occasions or tempests that are happening on an organization while giving data regarding seriousness and a spread example. In this manner, it can conceivably give an early admonition so occasions or tempests can be proactively moderated. In addition, it can help in making typical business decisions by determining or understanding the relationship between the computing devices and the business/information technology services they make up.

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Cyber security, Networking, Intel, Zero day attack, Vulnerabilities, SVM, RPL, Ransomware, Intrusion, Detection, Raspberry Pi, SRPL, Crypto.

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Women, Leadership, Performance, Style, Organizational

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OFD, Online Food Delivery, Zomato, Marketing Strategies, Consumer Behavior.

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This project proposes the use of NLP (Natural Language Processing) techniques for detecting 'fake news,' that is, news items originating from untrustworthy sources. Only employing a count vectorizer (using word tallies) or a (Term Frequency Inverse Document Frequency) tfidf matrix to develop a model will get you this far. Is it possible to develop a model that distinguishes between "real" and "fake" news? So, a proposed project would assemble a dataset of both fake and real news and use a Naive Bayes classifier to create a model to categorise a piece of writing as fake or real based on the words and phrases it contains.

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Key words: Educational Environment, Perception, Nursing students

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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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