Volume 11 | Issue 4 |

 Abstract

Angelman syndrome is an incurable neurodevelopmental disorder characterized by severe cognitive disability, motor dysfunction, speech impairment, hyperactivity, and frequent seizures. The maternally inherited UBE3A is rendered inactive by loss of the maternally expressed gene, which results in Angelman syndrome. The most frequent mechanism is the deletion of the maternal chromosomal region 15q11-q13. Surprisingly, duplication of the same chromosomal region, which affects >1-2% of all instances of autism spectrum disorder, is one of the few identified permanent genetic defects linked to the condition. While the general brain architecture and connection of neuronal projections in AS animal models appear to be largely normal, significant functional abnormalities are found at the level of context-dependent learning, as well as the decreased hippocampus and neocortical maturation.

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 Keywords

Angelman syndrome, neuromuscular disorder, genetic disorder, UBE3A

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The motto of our project is detecting stress in IT employees using image classification and the k-Nearest Neighbor (KNN) algorithm. The proposed system captures facial images of employees and processes them to identify signs of stress such as changes in facial expressions. The images are preprocessed and the features are extracted, the extracted features are then used to train and test a KNN classifier that can accurately classify the employees into stressed or non-stressed categories. The proposed approach was evaluated using a dataset of facial images collected from IT employees, and the results show that the KNN algorithm can effectively detect stress in IT employees with a high degree of accuracy. The proposed system can be used by employers to monitor the stress levels of their employees, leading to a healthier and more productive work environment.

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 Keywords

Image processing, machine learning, Stress detection

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When a lipid bilayer was hydrated, a self-forming enclosed lipid vesicle or liposome appeared. Liposome drug delivery methods have been crucial in the development of powerful drugs that have improved treatments. Because they share lipids with the epidermis, liposomes can also improve cutaneous medicine delivery while reducing systemic absorption. The hydration of the lipid film by hand shaking, sonication, macro-emulsification, and french-pressure cell are some of the numerous ways that liposomes can be made. Liposomes are made up of the sterols, phospholipids, sphingolipids, and polymeric compounds. Vesicle shape and lamellarity, size, and size distribution of the vesicles were used to assess the prepared liposomes. Microscopy Techniques techniques for cryo-transmission electron microscopy and optical microscopy (cryo-tem).

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Keywords : Liposome, topical drug delivery, Phospholipid, Vesicle, Macro-emulsification.

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Abstract Objectives: Aims to find the effect of ergonomics training in work related musculoskeletal pain and working posture among school going children. Methods: Study had begun with the presentation of synopsis to the ethical committee in PES MCOP. An approval was granted from the ethical committee various schools were visited in and around the city. 41 subjects were selected on the basis of their inclusion and exclusion criteria. Pre score action method REBA score analysis was done Pre WBS score was analyzed. Intervention for 4 weeks every alternate day was given Post REBA and WBS were analyzed. Data entered and analyzed. Results: there was significant effect of pain and posture on pain and posture p value <0.0001. Conclusion: This study concluded that there was positive effect of pain and posture on school going children.

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 Keywords

Keywords: ergonomics, pain, posture, musculoskeletal disorder, school children

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Over-The-Top (OTT) platform development has upended the conventional media and entertainment sectors, including the movie business. This study investigates how OTT platforms are affecting the movie business, with a particular emphasis on moviegoers. This study discovered that the way audiences consume content has significantly changed as a result of OTT platforms through a review of the literature and interviews with industry experts. Many fans who love to watch movies and TV series from the comfort of their homes have been drawn to OTT platforms due to their accessibility and affordability. The entertainment business, particularly the film industry, has undergone a change thanks to the rise of Over-The-Top (OTT) platforms. The purpose of this study is to investigate how OTT platforms have affected movies and moviegoers. A combination of qualitative and quantitative research approaches was used in the study. 300 moviegoers were given a survey questionnaire, and 10 industry professionals were interviewed to get the data. The study's conclusions show that the movie industry has been impacted by the availability of material on OTT platforms in several different ways. While OTT platforms have expanded the audiences for films, they have also resulted in a decrease of moviegoers. According to the report, younger generations like OTT platforms because of how convenient they are for watching movies.

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 Keywords

OTT platform, internet, entertainment, cinema audience, preferences, affordability, business, young generation.

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India is the land of discourse and therefore it has cherished different philosophies throughout the centuries. Buddhist philosophy emerged on the foundations of the then prevalent philosophies for example Vaisesika and Nyaya. Buddhist philosophy reached its peak at the times of Nagarjuna, Vasubandhu and Asanga while pre-existing philosophies suffered relative decline. Sankarachary revived the philosophy of Advaita Vedanta and popularise the more ancient Vedic tradition. There is a very close proximity between the Buddhist philosophy and the philosophy of Sankarachary. The present article is an effort to study and analyse this complex relationship.

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 Keywords

Parmanas,Epistemology,Ontology

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Development is a process where skills and training programs are used. India has a huge population i.e. manpower is a strength of Indian Economy. Proper utilization of resources are important in each and every aspect of development and growth. Hence entrepreneurship is an opportunity for new entrants. Entrepreneurship is a platform where talent, entrepreneurial traits are identified, motivated to take up new industrial venture, trained in managing the unit and guided in all aspects of starting an enterprise. The main objectives of entrepreneurship are designed to strengthen motive, capabilities and help to play the role efficiently. India is a developing Country by considering it Government of India started a scheme to empower the young educated and aspirant youth, being as a potential and constructive aspect of economy. The study intends to evaluate the Stand-Up India programme in-depth with regard to the advantages that it will provide for women entrepreneurs and to examine the programme's effects on the advancement of women beneficiaries. Henceforth, the NDA Government has commenced the scheme of Stand-up India. This paper covers the overall descriptive and critical study of these schemes. This is a research to evaluate Stand-Up India program in detail regarding the benefits that businesswomen will learn from that and study the impact of location- planning to improve women's rights in Punjab. because of that research, primary and secondary sources of information were used.

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Stand-Up India, Woman Entrepreneurship, Empowerment, Finance

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Social media text analytic is the process of deriving information from text sources. Text analysis can be applied to any text-based dataset, including social media. Negative thinking is a major problem faced today by society even we are finding in social media. Negative thinking have affected the quality of life and economic growth badly. We can identify the negative thinking patterns and predict the negative thinking by detecting and analyzing the historical data. However, some negative thinking are unregistered and unsolved due to a lack of evidence. Thus, detecting negative thinking is a still challenging task. We can use social media to detect negative thinking related activities. Because social media users sometimes convey messages related to his or her surrounding environment via social media message. In this paper, we proposed a machine learning approach to detect the negative thinking and analyze it on its type. As the first step, we fetch the text messages using predefined keywords relating to the negative thinking. Then, after the Pre-processing, we applied a support vector machine- based filtering approach to eliminate the noise. And then Random forest is used for classification. Then in the final stage, we analyze and categorize the negative thinking type.

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Support Vector Machine, Negative Thinking, Evidence, Detecting, Messages, Social Media, Historical.

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 Abstract

The rapidly increasing number of wireless systems is exacerbating the already significant challenge of limited frequency spectrum bandwidth in modern wireless systems. To address this scarcity of spectrum, secondary systems can adopt an opportunistic approach by accessing temporarily unused licensed bands of primary systems. This approach, known as cognitive radio technology, allows secondary systems to modify their transmitting parameters. so to minimize interference with primary users. The problem of spectral crowding can be addressed by utilizing cognitive radio technology, which involves opportunistically utilizing frequency bands that are not heavily occupied by licensed users. This approach provides a promising solution to the challenge of limited frequency spectrum bandwidth in modern wireless systems. With the development of prototypes and the implementation of these approaches on testbeds, researcher scan the effectiveness of cognitive radio approaches and ensure their successful deployment in the real world. The application of cognitive radio technology has attracted significant research interest and has the potential to introduce new approaches to the usage of available spectrum, thereby improving the efficiency of wireless systems.

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Cognitive Radio Technology, Testbeds , Licensed bands.

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The pregnancy and the postpartum period are predisposing the occurrence of the venous thrombosis. The purpose of our study is to investigate the epidemiologic, clinical, paraclinical and therapeutical aspects of the venous thrombosis during the pregnancy. This is a retrospective study about 49 cases, achieved in the department of obstetrical intensive care unit of UHC Ibn Rochd of Casablanca, over a period of five years (2012-2016). The incidence of the venous thromboembolic disease is 2 to 3 per 1000 pregnancies, the average age is 49 years old, with a predominance of the supervene in the postpartum period (63%). The main site is the deep vein thrombosis of the lower limbs (62%) of the left side in more than half of the patients. The frequency of the pulmonary embolism is 12% and the frequency of the cerebral thrombophlebitis and ovarian thrombosis is 4%. A spleen thrombosis, rarely described in the literature, was noticed in one patient. The definite diagnosis is based on the use of the venous Doppler echography of the lower limbs, the thoracic and abdominal angiography, and the brain magnetic resonance. The thrombophilia represents the main risk factor even if the complete examination could not be applied in all patients. In our sample, the feeding, the history of thrombosis and multiparty were predominant. The treatment is based on the heparin and the ant vitamin K according to the pregnancy term and the environment of the patient; the evolution was favorable in 94% of the women in labor. The management of the venous thromboembolic disease requires a multidisciplinary approach because of its significant morbidity and mortality, here the necessity to deal with the problem, to look for predisposing risk factors in order to guarantee adequate prophylaxis.

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 Keywords

thromboembolic disease,risk factor,Peripartum,anticoagulant

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