The Role of Identity of an Animated Character in the Story Line

The identity of an animated character means who he really is, or what are the characteristics that would never change? How the character sees himself and how others see him? It includes shape, color, race, beliefs, and choices in life.The more the storyteller gives identity to his animated character, the more it is sound and convincing.  In that sense, it touches the audiences’ hearts as they feel its pain or happiness. In other words, they are involved in the story and united with the character.As the story begins, characters and settings are presented before the audience to get an overview of the characters’ identity. Then, more elements are to show up, like the conflict, the problem that needs to be solved and the rising actions, which are series of events that lead to the high main point or the climax. It is considered as a turning point of the story after which the falling actions come.  The falling actions are events and complications that start to loosen the plot. Gradually, the solution shows up as the story ends either happily or tragically.Throughout the story line, these groups of events that form the story sometimes account for the appearance of an identity crisis that impact the character. It means that he is uncertain of his feelings about himself; he gets confused about what type of person he is or what is the true purpose of his life. It always takes making an existential that plays a big role in the story line.The identity crisis appear in Toy Story 1995 to Buzz light-year when he discovers the truth of himself; that he is a toy, not a space ranger as he thought before. This made him give up hope of returning anywhere. It took him sometime to accept the fact of himself after seeing how Woody struggles to return them both to Andy. He tries his best to save his friend and return home safely, as being dictated by the role’s vision.In Toy Story 2 1999, the identity crisis appear to Woody when Buzz strikes him with the fact that he is not a collector’s item. He is a child’s play thing, he is a toy. Then, a decision has to be made to return to Andy, and the struggles start with the Prospector.In Toy Story 3, 2010, the identity crisis appear to Woody at the end of the story. He was suffering to be away from all his toy family that will be left in the attic, so he wrote on the box to be donated and he attached himself in, with them hoping that Andy gives him a very warm goodbye and leaves him with the rest of the toys in good hands.In Finding Nemo 2003, the identity crisis for Nemo is when he chooses to touch the boat, even though it is a dangerous thing, just to prove to his father and his friends that he is brave. It led him to fall in the capture and to meet other fish

Angular Control Charts: A New Perspective for Monitoring Reliability of Multi-State Systems

Control charts, as had been used traditionally for quality monitoring, were applied alternatively to monitor systems' reliability. In other words, they can be applied to detect changes in the failure behavior of systems. Such purpose imposed modifying traditional control charts in addition to developing charts that are more compatible with reliability monitoring. The latter developed category is known as probability limits control charts. The existing reliability monitoring control charts were only dedicated to binary-state systems, and they can't be used to monitor several states simultaneously. Therefore, this paper develops a design of control charts that accommodates multi-state systems, called here as the Angular Control Chart, which represents a new version of the probability limits control charts. This design is able to monitor state transitions simultaneously and individually in addition. Illustrative system examples are implemented to explore the monitoring procedure of the new design and to demonstrate its efficiency, effectiveness, and limitations.Comment: 18 pages; 13 figure

Urgent Coronary Artery Bypass Grafting Due to Multi- Vessel Coronary Aneurysm

Coronary Artery Aneurysm (CAA) is defined as a dilation of more than 1.5 times normal in a segment of the coronary artery. While the incidence of CAA is highest in the Right Coronary Artery (RCA), it is agreed that left main coronary artery or three-vessel involvement is extremely rare. Wide ranges of factors have been implicated in the cause of CAA with atherosclerosis being the most common at 50%. Congenital CAA occurs in 20-30% of cases followed by connective tissue disease at 10%. Blood stagnation and exposure of the underlying collagen make aneurysms prone to thrombosis, dissection, and vasospasm. Depending on the size, symptoms, and etiology of the aneurysms; a surgical, percutaneous, or medical approach may be used. In this paper, we are presenting a patient who presented to the emergency department (ED) with chest pain due to Acute Coronary Syndrome (ACS) that was found to be due to multi-vessels CAAs involving the left main as well as RCA, Left Anterior Descending (LAD) artery and Left Circumflex Artery (LCA) requiring urgent Coronary Artery Bypass Grafting (CABG)

Fire debris analysis by Raman spectroscopy and chemometrics

A paper reporting the use of Raman Spectroscopy in fire debris analysis is presented. Five polymer based samples, namely carpet (polypropylene), nylon stockings (nylon), foam packaging (polystyrene), CD cases (polystyrene) and DVD cases (polypropylene) were burnt with each one of the following ignitable liquids: petrol, diesel, kerosene and ethanol. Raman shifts were obtained and, in some cases, peaks were identified to correspond to pyrolysis products in the form of alkanes, aromatic or polyaromatic compounds. All pyrolysis peaks were used to produce a Principal Component Analysis (PCA) of the burned samples with the different ignitable liquids. The change in the Raman spectra made it possible to identify some of the pyrolysis products produced in the combustion and also to identify the different plastic materials in fire debris, even when different fuels have been used and the chemical and structural identity of the plastic has been altered in the fire

The role of Insulin Growth Factor axis in stem cell based periodontal regeneration under diabetic conditions

Periodontitis and diabetes mellitus (DM) are two of the most common and challenging health problems worldwide, and they affect each other mutually and adversely. Current periodontal therapies have unpredictable outcome in diabetic patients. Periodontal tissue engineering is a challenging but promising approach that aims at restoring periodontal tissues using one or all of the following: stem cells, signalling molecules and scaffolds. Mesenchymal stem/stromal cells (MSCs) and Insulin-like growth factor (IGF) could be ideal candidates for stem cells and signalling molecules. In this study, bone marrow mesenchymal stem/stromal cells (BM-MSCs) were isolated from patients with type 2 diabetes mellitus (T2DM) and non-diabetic controls. Both cell populations were compared for their clonogenicity, proliferation rates and percentage of MSC populations. Moreover, expression of osteogenic, periodontal markers and IGF axis genes was assessed under basal and osteogenic conditions after 1, 2 and 3 weeks in culture. Levels of IGFBP-2, -3 and -4 in conditioned media were evaluated using ELISA assays. Diabetic and non-diabetic BM-MSCs exhibited similar clonogenic, proliferative and osteogenic potentials. Flow cytometry analysis showed both cell population contained comparable numbers of cells fitting the MSCs phenotype (CD73+, CD90+, CD105+, CD14-, CD19-, CD34-, CD45- and HLA-DR-). Diabetic BM-MSCs expressed lower levels of periodontal markers POSTN and CEMP-1 as well as a number of IGFBPs (IGFBP-2, -3 and -4), although ELISA assays showed similar release levels of these IGFBPs by both diabetic and non-diabetic cells. These molecules could be targeted to enhance the periodontal regeneration potentials of diabetic BM-MSCs. Moreover, both diabetic and non-diabetic cells showed upregulation of IGFBP-2 in their osteogenic cultures along with downregulation of IGF-1 and IGFBP-5, and these molecules could enhance the use of BM-MSCs in bone tissue engineering in general

Prevalence of Psychosocial Risk Factors in Selected Industries in Latvia

Publisher Copyright: © 2016 Lasma Kozlova et al., published by De Gruyter Open 2016.The hypothesis of the study was that psychosocial risk factors are more common in industries involving intellectual work, such as education and public administration (Group 1), rather than in industries like construction, agriculture, and forestry where physical work is more common (Group 2). This hypothesis was confirmed and the important findings were that the most common psychosocial risk factors in Group 1 were staff conflicts, conflicts with managers and clients, also lack of time and having to communicate with clients during the working day. Violence, especially physical and psychological violence was a common risk factor in Group 1; mostly the client caused the violence. In Group 2 the most common psychosocial risk factors were overtime work, conflicts with managers, lack of time and having to communicate with clients during the working day. Overtime work was the most common risk factor in construction, agriculture, and forestry industries.publishersversionPeer reviewe

A theoretical model to predict cavitation inception in centrifugal pumps

Paper presented at the 5th International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics, South Africa, 1-4 July, 2007.This paper presents a theoretical model for the prediction of the incipient of cavitation in centrifugal pumps. The model includes the physical fluid parameters and the real working phenomena at off-design condition. The parameters considered in the model were flow rate ratio, pump rational speed, water temperature, thermodynamic properties of water, nuclei and gas content, relative velocity and incidence angle. The thermodynamic effect had a more complex expression compared with other parameters. The present model has been tested against extensive earlier published experimental results in centrifugal pumps at wide operating conditions. The comparison of the predicted net positive suction head at inception with the published data showed a good agreement was achieved. This agreement means that the roles played by operating parameters, off-design phenomena and thermodynamic properties of water are consistent with the present model. The results obtained from the present model make it possible to explain why there is a difference between the real net positive suction head values and the theoretical ones in the previous published models. Therefore, the present model could help the pump user and designer to estimate the incipient net positive suction head at various conditions.cs201

Incremental state-space exploration for programs with dynamically allocated data

We present a novel technique that speeds up state-space exploration (SSE) for evolving programs with dynamically allocated data. SSE is the essence of explicit-state model checking and an increasingly popular method for automating test generation. Traditional, non-incremental SSE takes one version of a program and systematically explores the states reachable during the program's executions to nd property violations. Incremental SSE considers several versions that arise during program evolution: reusing the results of SSE for one version can speed up SSE for the next version, since state spaces of consecutive program versions can have sig-ni cant similarities. We have implemented our technique in two model checkers: Java PathFinder and the J-Sim state-space explorer. The experimental results on 24 program evolutions and exploration changes show that for non-initial runs our technique speeds up SSE in 22 cases from 6.43% to 68.62 % (with median of 42.29%) and slows down SSE in only two cases for-4.71 % and-4.81%

An automated cloud-based big data analytics platform for customer insights

Product reviews have a significant influence on strategic decisions for both businesses and customers on what to produce or buy. However, with the availability of large amounts of online information, manual analysis of reviews is costly and time consuming, as well as being subjective and prone to error. In this work, we present an automated scalable cloud-based system to harness big customer reviews on products for customer insights through data pipeline from data acquisition, analysis to visualisation in an efficient way. The experimental evaluation has shown that the proposed system achieves good performance in terms of accuracy and computing time