Constructing Adjacency Arrays from Incidence Arrays

Graph construction, a fundamental operation in a data processing pipeline, is typically done by multiplying the incidence array representations of a graph, $\mathbf{E}_\mathrm{in}$ and $\mathbf{E}_\mathrm{out}$, to produce an adjacency array of the graph, $\mathbf{A}$, that can be processed with a variety of algorithms. This paper provides the mathematical criteria to determine if the product $\mathbf{A} = \mathbf{E}^{\sf T}_\mathrm{out}\mathbf{E}_\mathrm{in}$ will have the required structure of the adjacency array of the graph. The values in the resulting adjacency array are determined by the corresponding addition $\oplus$ and multiplication $\otimes$ operations used to perform the array multiplication. Illustrations of the various results possible from different $\oplus$ and $\otimes$ operations are provided using a small collection of popular music metadata.Comment: 8 pages, 5 figures, accepted to IEEE IPDPS 2017 Workshop on Graph Algorithm Building Block

Bridging the gap: an insight into dentistry

Summary: Dental and medical care are closely interlinked since certain clinical oral manifestations can provide a useful insight into underlying systemic diseases. With recent research highlighting unique ‘two-way’ relationships between systemic and oral disease processes, it is paramount medical students are aware of these. Medical school curricula scarcely cover oral disease and oral examination; the purpose of this article is to provide a foundation for further learning. A clear focus has been made on four key aspects: the core dental team, oral lesions, dental disease and oral manifestations of systemic drugs. Relevance to Medical Students: Examination of the oral cavity forms an element of the wider physical exam. Hence, an appreciation for dentistry will place medical students in a more confident position knowing that they have an understanding of oral abnormalities. This will not only encourage improved diagnoses but discourage false referrals, making a positive impact on patient care and management. Take Home Messages: Medicine and dentistry have a firm place in the primary health sector as patients share their health concerns with both their general medical practitioner and their general dental practitioner. Patient care can be greatly enhanced if a closer relationship between the two professions is fostered. This educational piece places a step in that direction by presenting to the reader an insight into the multifaceted speciality of dentistry

Learning while Competing -- 3D Modeling & Design

The e-Yantra project at IIT Bombay conducts an online competition, e-Yantra Robotics Competition (eYRC) which uses a Project Based Learning (PBL) methodology to train students to implement a robotics project in a step-by-step manner over a five-month period. Participation is absolutely free. The competition provides all resources - robot, accessories, and a problem statement - to a participating team. If selected for the finals, e-Yantra pays for them to come to the finals at IIT Bombay. This makes the competition accessible to resource-poor student teams. In this paper, we describe the methodology used in the 6th edition of eYRC, eYRC-2017 where we experimented with a Theme (projects abstracted into rulebooks) involving an advanced topic - 3D Designing and interfacing with sensors and actuators. We demonstrate that the learning outcomes are consistent with our previous studies [1]. We infer that even 3D designing to create a working model can be effectively learned in a competition mode through PBL

Full-Text Indexing for Heritrix

It is useful to create personalized web crawls, and search through them later on to see the archived content and compare it with current content to see the difference and evolution of that portion of web. It is also useful for searching through the portion of web you are interested in an offline mode without need of going online. To accomplish that, in this project I focus towards indexing of the archive (ARC) files generated by an open source web-crawler named Heritrix. I developed a Java module to perform indexing on these archive files. I used large set of archive files crawled by Heritrix and tested indexing performance of the module. I also benchmarked performance for my indexer and compare these results with various other indexers. The index alone is not of much use until we can use it to search through archives and get search results. To accomplish that, I developed a JSP module using an interface for reading archive files to provide search results. As a whole, when combined with Heritrix, this project can be used to perform personalized crawls, store archive of the crawl, index the archives, and search through those archives

Doctrine of Res-judicata

Not availabl

Treatment technologies of fresh market wastewater

Fresh Market Wastewater (FMWW) is rich with high amounts of suspended solids, organic and inorganic compounds, nutrients, gases and some elements which come from fish entrails and seafood preparation sales, meat cutting, poultry slaughtering, fruits and vegetables sales. The excess of these parameters are harmful to the aquatic life since the FMWW is usually discharged into the drainage systems without any treatment or partial treatment. The FMWW technologies are developed due to some technical factors influencing the designation and construction. There are several projects of fresh market treatment technologies used on site area in small scale which could be replicated to other fresh market, and some case study have been tested in laboratory batch experiments. All the projects exhibited an efficiency to reduce critical parameters in FMWW and give positive impacts to the locals and responsible parties

Forecasting crude palm oil prices : statistical versus artificial inteligence approaches / Abdul Aziz Karia

An accurate prediction of crude palm oil (CPO) prices is important especially when investors deal with ever-increasing risks and uncertainties of the businesses in future. Observation on the movement of CPO prices suggests an inconsistent trend as the CPO prices fluctuate from time to time. With regard to this, there is need for a development of an accurate model CPO prices prediction to facilitate efficient decision making from investors, businesses and policy makers. This prediction will at least provide a time lag between the decision making and the time at which the situation reaches the market place. Therefore, the main objective of this study is to determine the most appropriate model for the prediction of CPO prices in Malaysia

Alternative Processor within Threshold: Flexible Scheduling on Heterogeneous Systems

Computing systems have become increasingly heterogeneous contributing to higher performance and power efficiency. However, this is at the cost of increasing the overall complexity of designing such systems. One key challenge in the design of heterogeneous systems is the efficient scheduling of computational load. To address this challenge, this paper thoroughly analyzes state of the art scheduling policies and proposes a new dynamic scheduling heuristic: Alternative Processor within Threshold (APT). This heuristic uses a flexibility factor to attain efficient usage of the available hardware resources, taking advantage of the degree of heterogeneity of the system. In a GPU-CPU-FPGA system, tested on workloads with and without data dependencies, this approach improved overall execution time by 16% and 18% when compared to the second-best heuristic

The Experiences of African American Grandchildren Raised in Grandparent-Headed Families

There has been an increase in grandparents raising their grandchildren due to parental absence. This family structure has affected urban, single, low income African Americans at a higher rate than any other racial group. Research on grandchildren reared in grandparent-headed families (GHF) states these children are at risk for significant emotional, behavioral, physical problems, and learning disabilities than children living with their biological parents. The purpose of this study was to explore the experiences of African American grandchildren raised in GHF. Both quantitative and qualitative methodology was used, including individual interviews with 14 African American grandchildren ages 10-16 and their 6 grandparent caregivers, and the completion of the Child Behavior Checklist (CBCL), which is a standard psychological measure. Results indicated that although the majority of the grandchildren were content living with their grandparents, they experienced challenges at school, including behavioral issues, low academic performance, and suspensions. Family factors that might affect grandchildren’s adjustment to living in a GHF are discussed, as well as implications for therapists and recommendations for future research with grandchildren from GHF