Predicting protein disorder by analyzing amino acid sequence

<p>Abstract</p> <p>Background</p> <p>Many protein regions and some entire proteins have no definite tertiary structure, presenting instead as dynamic, disorder ensembles under different physiochemical circumstances. These proteins and regions are known as Intrinsically Unstructured Proteins (IUP). IUP have been associated with a wide range of protein functions, along with roles in diseases characterized by protein misfolding and aggregation.</p> <p>Results</p> <p>Identifying IUP is important task in structural and functional genomics. We exact useful features from sequences and develop machine learning algorithms for the above task. We compare our IUP predictor with PONDRs (mainly neural-network-based predictors), disEMBL (also based on neural networks) and Globplot (based on disorder propensity).</p> <p>Conclusion</p> <p>We find that augmenting features derived from physiochemical properties of amino acids (such as hydrophobicity, complexity etc.) and using ensemble method proved beneficial. The IUP predictor is a viable alternative software tool for identifying IUP protein regions and proteins.</p

PHOSPHORUS-BASED NUTRIENT MANAGEMENT PLANNING ON DAIRY/POULTRY FARMS: IMPLICATIONS FOR ECONOMIC AND ENVIRONMENTAL RISKS

The effects of phosphorus (P)-based nutrient management plans on economic and environmental risks of dairy and dairy-poultry farms in Virginia were evaluated. Phosphorus-based nutrient management plans can greatly reduce P runoff risk but also reduce farmers' returns. P-based plans cause greater reductions in returns and P runoff on the dairy-poultry farm than on the dairy only farm.nutrient runoff, cost, mathematical programming, simulation, watershed, Environmental Economics and Policy, Livestock Production/Industries,

Where are we at with Cloud Computing?: A Descriptive Literature Review

Cloud computing is an exciting area for research, because of its relative novelty and exploding growth. In this paper, we present a descriptive literature review and classification scheme for cloud computing research. The former consists of 58 articles published since the recent inception of cloud computing. Clearly, there is an explosively increasing amount of cloud computing research has been conducted this year. The articles are classified and results are presented, based on a scheme that consists of four main categories: technological issues, business issues, applications, and general. The results show that although current cloud computing research is still skewed towards technological issues, such as performance, network, and data management, new research theme regarding the social and organisational implications of cloud computing is emerging. We hope this review will provide a snapshot and reference source of the current state of cloud computing research and stimulate further research interest

A Descriptive Literature Review and Classification of Cloud Computing Research

We present a descriptive literature review and classification scheme for cloud computing research. This includes 205 refereed journal articles published since the inception of cloud computing research. The articles are classified based on a scheme that consists of four main categories: technological issues, business issues, domains and applications, and conceptualising cloud computing. The results show that although current research is still skewed towards technological issues, new research themes regarding social and organisational implications are emerging. This review provides a reference source and classification scheme for IS researchers interested in cloud computing, and to indicate under-researched areas as well as future directions

Concert recording 2021-04-13

[Track 1]. Sonata for flute and piano in E minor BWV 1034. III. Andante [Track 2]. IV. Allegro / Johann Sebastian Bach -- [Track 3]. Odelette for flute and piano op. 162 / Camille Saint-Saëns -- [Track 4]. Pièce pour flute seule / Jacques Ibert -- [Track 5]. Nocturne for flute and piano / Georges Barrère