Protein contact map prediction using multi-stage hybrid intelligence inference systems

AbstractProteins are one of the most important molecules in organisms. Protein function can be inferred from its 3D structure. The gap between the number of discovered protein sequences and the number of structures determined by the experimental methods is increasing. Accurate prediction of protein contact map is an important step toward the reconstruction of the protein’s 3D structure. In spite of continuous progress in developing contact map predictors, highly accurate prediction is still unresolved problem. In this paper, we introduce a new predictor, JUSTcon, which consists of multiple parallel stages that are based on adaptive neuro-fuzzy inference System (ANFIS) and K nearest neighbors (KNNs) classifier. A smart filtering operation is performed on the final outputs to ensure normal connectivity behaviors of amino acids pairs. The window size of the filter is selected by a simple expert system. The dataset was divided into testing dataset of 50 proteins and training dataset of 450 proteins. The system produced an average accuracy of 45.2% for the sequence separation of six amino acids. In addition, JUSTcon outperformed SVMcon and PROFcon predictors in the cases of large separation distances. JUSTcon produced an average accuracy of 15% for the sequence separation of 24 amino acids after applying it on CASP9 targets

Barriers of Supply Chain Management Practices in Manufacturing Companies in Republic of Yemen: Pre-War Perspective

Supply chain management (SCM) is a backbone of manufacturing firms, it enable them to manage all tasks throughout business process. Therefore, investigating the barriers for supply chain management has become significant to assist them for better practicing for SCM. However, the main aim of this paper is to describe the current technology, relationship, and alignment barriers within manufacturing companies in Yemen. A quantitative method was adopted using a questionnaire and a sample of 65 Yemenis respondents who belong to the medium management level of the manufacturing companies in Yemen. Data was analyzed using the SPSS Generally, the findings revealed that Suppliers and customer geographical distance from own facilities represent the most barriers to manufacturing companies in adopting SCM in Yemen. Discussions of the findings, implication and limitation of the study were also included

BioCloud: a resource provisioning framework for bioinformatics applications in multi-cloud environments

The significant advancement in Next Generation Sequencing (NGS) have enabled the generation of several gigabytes of raw data in a single sequencing run. This amount of raw data introduces new scalability challenges in processing, storing and analyzing it, which cannot be solved using a single workstation, the only resource available for the majority of biological scientists, in a reasonable amount of time. These scalability challenges can be complemented by provisioning computational and storage resources using Cloud Computing in a cost-effective manner. There are multiple cloud providers offering cloud resources as a utility within various business models, service levels and functionalities. However, the lack of standards in cloud computing leads to interoperability issues among the providers rendering the selected one unalterable. Furthermore, even a single provider offers multiple configurations to choose from. Therefore, it is essential to develop a decision making system that facilitates the selection of the suitable cloud provider and configuration together with the capability to switch among multiple providers in an efficient and transparent manner. In this paper, we propose BioCloud as a single point of entry to a multi-cloud environment for non-computer savvy bio-researchers. We discuss the architecture and components of BioCloud and present the scheduling algorithm employed in BioCloud. Experiments with different use-cases and scenarios reveal that BioCloud can decrease the workflow execution time for a given budget while encapsulating the complexity of resource management in multiple cloud providers

Effectiveness of performance appraisal:an integrated framework

Based on a robust analysis of the existing literature on performance appraisal (PA), this paper makes a case for an integrated framework of effectiveness of performance appraisal (EPA). To achieve this, it draws on the expanded view of measurement criteria of EPA, i.e. purposefulness, fairness and accuracy, and identifies their relationships with ratee reactions. The analysis reveals that the expanded view of purposefulness includes more theoretical anchors for the purposes of PA and relates to various aspects of human resource functions, e.g. feedback and goal orientation. The expansion in the PA fairness criterion suggests certain newly established nomological networks, which were ignored in the past, e.g. the relationship between distributive fairness and organization-referenced outcomes. Further, refinements in PA accuracy reveal a more comprehensive categorization of rating biases. Coherence among measurement criteria has resulted in a ratee reactions-based integrated framework, which should be useful for both researchers and practitioners

Supply-Chain Management Capabilities Practices in Industrial Organization in Republic of Yemen

Abstract Supply chain management play major role in performing manufacturing tasks inside and strength collaboration among suppliers and customers. In this paper, the main aims is to examine the level of Supply Chain Management Capabilities (SCMC) practicing in manufacturing in Yemen. To achieve this objective, geographical clustered sample was employed, Thirty nine manufacturing were surveyed in five governorates, top and middle managers were asked to answer the questionnaire. To measure the level of SCMC practice, descriptive and standard deviation employed. The findings show high level of practice and supported with consistency in deviation

Supply-chain management capabilities practices in industrial organization in republic of Yemen

Supply chain management play major role in performing manufacturing tasks inside and strength collaboration among suppliers and customers. In this paper, the main aims is to examine the level of Supply Chain Management Capabilities (SCMC) practicing in manufacturing in Yemen. To achieve this objective, geographical clustered sample was employed, Thirty nine manufacturing were surveyed in five governorates, top and middle managers were asked to answer the questionnaire. To measure the level of SCMC practice, descriptive and standard deviation employed. The findings show high level of practice and supported with consistency in deviation