Movie Popularity Classification based on Inherent Movie Attributes using C4.5,PART and Correlation Coefficient

Abundance of movie data across the internet makes it an obvious candidate for machine learning and knowledge discovery. But most researches are directed towards bi-polar classification of movie or generation of a movie recommendation system based on reviews given by viewers on various internet sites. Classification of movie popularity based solely on attributes of a movie i.e. actor, actress, director rating, language, country and budget etc. has been less highlighted due to large number of attributes that are associated with each movie and their differences in dimensions. In this paper, we propose classification scheme of pre-release movie popularity based on inherent attributes using C4.5 and PART classifier algorithm and define the relation between attributes of post release movies using correlation coefficient.Comment: 6 page

Pathway Hunter Tool (PHT) � A Platform for Metabolic Network Analysis and Potential Drug Targeting

Metabolic network analysis will play a major role in �Systems Biology� in the future as they represent the backbone of molecular activity within the cell. Recent studies have taken a comparative approach toward interpreting these networks, contrasting networks of different species and molecular types, and under varying conditions. We have developed a robust algorithm to calculate shortest path in the metabolic network using metabolite chemical structure information. A divide and conquer technique using Maximal Common Subgraph (MCS) approach and binary fingerprint was used to map each substrate onto its corresponding product. Then for the calculation of the shortest paths (using modified Breadth First Search algorithm) the two biochemical criteria �local� and �global� structural similarity were used, where �local similarity� is defined as the similarity between two intermediate molecules and �global similarity� is defined as the amount of conserved structure found between the source metabolite and the destination metabolites after a series of reaction steps. The pathway alignment was introduced to find enzyme(s) preference in the pathway of various organisms (a local and global outlook to metabolic networks). This was also used to predict potentially missing enzymes in the pathway. A novel concept called �load points� and �choke points� identifies hot spots in the network. This was used to find important enzymes in the pathogens metabolic network for potential drug targets

A Genome-wide Association Study Coupled With Machine Learning Approaches To Identify Influential Demographic And Genomic Factors Underlying Parkinson’s Disease

Background: Despite the recent success of genome-wide association studies (GWAS) in identifying 90 independent risk loci for Parkinson\u27s disease (PD), the genomic underpinning of PD is still largely unknown. At the same time, accurate and reliable predictive models utilizing genomic or demographic features are desired in the clinic for predicting the risk of Parkinson\u27s disease. Methods: To identify influential demographic and genomic factors associated with PD and to further develop predictive models, we utilized demographic data, incorporating 200 variables across 33,473 participants, along with genomic data involving 447,089 SNPs across 8,840 samples, both derived from the Fox Insight online study. We first applied correlation and GWAS analyses to find the top demographic and genomic factors associated with PD, respectively. We further developed and compared a variety of machine learning (ML) models for predicting PD. From the developed ML models, we performed feature importance analysis to reveal the predictability of each demographic or the genomic input feature for PD. Finally, we performed gene set enrichment analysis on our GWAS results to identify PD-associated pathways. Results: In our study, we identified both novel and well-known demographic and genetic factors (along with the enriched pathways) related to PD. In addition, we developed predictive models that performed robustly, with AUC = 0.89 for demographic data and AUC = 0.74 for genomic data. Our GWAS analysis identified several novel and significant variants and gene loci, including three intron variants in LMNA (p-values smaller than 4.0e-21) and one missense variant in SEMA4A (p-value = 1.11e-26). Our feature importance analysis from the PD-predictive ML models highlighted some significant and novel variants from our GWAS analysis (e.g., the intron variant rs1749409 in the RIT1 gene) and helped identify potentially causative variants that were missed by GWAS, such as rs11264300, a missense variant in the gene DCST1, and rs11584630, an intron variant in the gene KCNN3. Conclusion: In summary, by combining a GWAS with advanced machine learning models, we identified both known and novel demographic and genomic factors as well as built well-performing ML models for predicting Parkinson\u27s disease

Synthesis and performance analysis of ammonium dinitramide

Ammonium dinitramide as non-corrosive, high performance, and Eco-friendly propellant was first synthesized by Russians in early 1970s, and then independently in early 1990s by Stanford Research International. Since then, there has been increased interest in its synthesis and performance analysis. Therefore, this project was aimed to enhance the study of ADN and explore new areas of its application. This project has 3 objectives where syntheses, prilling, electrolysis of ADN were studied. In first objective, a new, modified ADN synthesis method was developed. This method was able to synthesize ADN at near-zero temperature by nitration of potassium sulfamate with mixture of nitric acid, sulfuric acid and trifluoroacetic acid. Once synthesized, parametric studies were performed to increase the reaction yield. It was developed by analyzing the existing ADN synthesis methods and their reaction mechanisms. In the second objective, ADN prilling and sonication was performed via ultrasound treatment and the results were compared with ADN obtained by existing methods. It was necessary to perform prilling i.e. conversion of ADN crystal morphology because, ADN in its raw form have long needle like structure. Secondly, it has low critical humidity level of ADN i.e. 55.2%RH renders practical and handling issue in humid climate. Therefore, an ultrasound based prilling and coating method was developed, where ADN was sonicated in toluene as sonication medium along with surfactants and coating polymers. With this method, it was possible to combine prilling and coating of ADN particles into single step with results comparable to conventional melt prilling method. In third objective, ADN based liquid monopropellant named FLP-103 was electrolytically decomposed and its performance was analyzed in micro thrusters. In order to decompose ADN by electrolysis, Micro thrusters were fabricated with Polydimethyl siloxane (PDMS) and the experiments were analyzed by video footage, load cell thrust measurement and self-fabricated thrust measurement system. The thrusters were fabricated using combination of embossing and engraving techniques with PDMS to eliminate leakages and backpressure. Thrust measurement system, based on PDMS made torsion rod was developed as a proof of concept by using low cost sensors LDC-1000 from Texas instruments. Its results were compared with the results obtained by load cell thrust measurement. The results showed that ADN can be successfully decomposed via electrolysis in micro thrusters and electrolysis occurs predominately at cathode

Prilling and Coating of Ammonium Dinitramide (ADN) Solid Green Propellant in Toluene Mixture Using Ultrasound Sonication

Ammonium Dinitramide (ADN) in its generic form has a long needle shaped structure, which hinders higher solid loading. Therefore, it is of utmost importance to optimize its crystal morphology into octagonal shapes. Moreover, the low critical humidity level of ADN renders it unusable in a humid climate. Hence, encapsulation with a hydrophobic polymer is necessary. In the present work, ADN was synthesized by nitration of potassium sulfamate with mixed acid nitration. The product was then mixed with toluene, graphene, citryl ammonium butyl, Cab-o-sil, and coating polymer (Polystyrene or HTPB) and treated with ultrasound to obtain semi-spherical ADN-coated particles. The method offers a reduction in operating temperature and elimination of ADN melting in the shape-altering process. In addition, the ADN product has a similar particle size and thermal stability compared to those in a conventional ADN melt-prilling method. The ADN product investigated under SEM confirms the particle morphological change from long needles into semi-spherical shapes. The particle size obtained, in the micrometer range, is ideal for higher theoretical maximum density. Furthermore, the ultrasound-treated ADN particles show significant reduction in moisture absorption, from 68% to 16% at 65% relative humidity. The DSC result shows no degradation of thermal stability of the coated particles

Synthesis and performance analysis of ammonium dinitramide

Ammonium dinitramide as non-corrosive, high performance, and Eco-friendly propellant was first synthesized by Russians in early 1970s, and then independently in early 1990s by Stanford Research International. Since then, there has been increased interest in its synthesis and performance analysis. Therefore, this project was aimed to enhance the study of ADN and explore new areas of its application. This project has 3 objectives where syntheses, prilling, electrolysis of ADN were studied. In first objective, a new, modified ADN synthesis method was developed. This method was able to synthesize ADN at near-zero temperature by nitration of potassium sulfamate with mixture of nitric acid, sulfuric acid and trifluoroacetic acid. Once synthesized, parametric studies were performed to increase the reaction yield. It was developed by analyzing the existing ADN synthesis methods and their reaction mechanisms. In the second objective, ADN prilling and sonication was performed via ultrasound treatment and the results were compared with ADN obtained by existing methods. It was necessary to perform prilling i.e. conversion of ADN crystal morphology because, ADN in its raw form have long needle like structure. Secondly, it has low critical humidity level of ADN i.e. 55.2%RH renders practical and handling issue in humid climate. Therefore, an ultrasound based prilling and coating method was developed, where ADN was sonicated in toluene as sonication medium along with surfactants and coating polymers. With this method, it was possible to combine prilling and coating of ADN particles into single step with results comparable to conventional melt prilling method. In third objective, ADN based liquid monopropellant named FLP-103 was electrolytically decomposed and its performance was analyzed in micro thrusters. In order to decompose ADN by electrolysis, Micro thrusters were fabricated with Polydimethyl siloxane (PDMS) and the experiments were analyzed by video footage, load cell thrust measurement and self-fabricated thrust measurement system. The thrusters were fabricated using combination of embossing and engraving techniques with PDMS to eliminate leakages and backpressure. Thrust measurement system, based on PDMS made torsion rod was developed as a proof of concept by using low cost sensors LDC-1000 from Texas instruments. Its results were compared with the results obtained by load cell thrust measurement. The results showed that ADN can be successfully decomposed via electrolysis in micro thrusters and electrolysis occurs predominately at cathode

Dual Orthogonal Feed Circular Polarization Array Antenna Using Microstrip Slot Feed Network

This paper presents a new circularly polarized microstrip array antenna using dual-orthogonal feed technique. The feed network for 1x2 array is designed using microstrip lines and slot lines by applying double-sided MIC concept effectively. 90 degree phase difference between two orthogonally feed signals os created by choosing appropriate feed point in the feed network to advance one of the feed signals by quarter wavelength (lemda/4) from other. Excellent radiation performance is obtained from this proposed antenna with low cross polar component. The impedence (<-10dB) bandwidth of the array is 9.1% and the 3-dB axial ration bandwidth is 1.85% (9.905GHz to 10.09 GHz). The average  gain is higher than 9dBiC over the 3-dB AR bandwidth. The relation between antenna dimensions and characteristics ia also investigated with a parametric analysis of the antenna