Search results for "NOTA"

Are requirements elicitation sessions influenced by participants' gender? An empirical experiment

2021

[EN] Context: Requirements elicitation is a crucial phase in the software development life cycle. During requirements elicitation sessions, requirements engineers capture software requirements, and motivate stakeholders to express needs and expected software functionalities. In this context, there is a lack of extensive empirical research reporting the extent to which elicitation sessions can be influenced by participants' gender. Objective: This paper presents our research endeavour to investigate requirements engineers' effort and elicited requirements' accuracy based on participants' gender. Method: We conducted an experiment in two rounds with a total of 59 students who played the role …

Joint Development of Novel Business Models

2006

Changing competitive environment forces companies to innovate and renew their business models towards a more value-adding and customer-centric direction. Often, a prerequisite for this is that the companies are willing to combine their capabilities by co-operating and creating long-term strategic networks with each other. The formation of networks is a cyclical learning process, along which the infrastructure and strategies emerge incrementally through mutual adjustment. We analyze such network formation process among three companies that are operating in separate but complementary industries. They are seeking to expand their service offering through the use of ICT. We reflect upon this dev…

Exploring Process-Modelling Practice: Towards a Conceptual Model

2008

Despite the importance of process modelling for business process management and related tasks, there are few theories and empirical studies of process-modelling practice available that can serve as the basis for understanding and improving this important practice. To contribute to the development of better theory, this paper proposes a model of process modelling practice, focussing on the relations between process modelling purpose, process modelling process, model artefact, process modelling outcome as well as initial and eventual modelling and process maturity. The proposed model is based on the existing literature and validated in a study of 34 Norwegian process-modelling projects. Resul…

Business Process Models and Information System Usability

2015

Abstract The paper describes the use of business process models for effective managing of information system execution processes and transparent representation of execution statuses. Contrary to traditional approaches where business process models are used only in the initial stages of information system development, the proposed approach suggests direct utilization of business process models during the use of information systems. Information system usability can be improved by using new means of representation, and business process models can serve as an efficient way to visualize execution processes in information systems.

Informe nº 1: Primeras consideraciones sobre Unesco

1987

A complex unfolding pathway of α-helical membrane proteins in SDS-containing micelles

2021

CandidaDB: a genome database for Candida albicans pathogenomics.

2004

CandidaDB is accessible at http://genolist.pasteur.fr/CandidaDB.; International audience; CandidaDB is a database dedicated to the genome of the most prevalent systemic fungal pathogen of humans, Candida albicans. CandidaDB is based on an annotation of the Stanford Genome Technology Center C.albicans genome sequence data by the European Galar Fungail Consortium. CandidaDB Release 2.0 (June 2004) contains information pertaining to Assembly 19 of the genome of C.albicans strain SC5314. The current release contains 6244 annotated entries corresponding to 130 tRNA genes and 5917 protein-coding genes. For these, it provides tentative functional assignments along with numerous pre-run analyses th…

Bioinformatic flowchart and database to investigate the origins and diversity of Clan AA peptidases

2009

Abstract Background Clan AA of aspartic peptidases relates the family of pepsin monomers evolutionarily with all dimeric peptidases encoded by eukaryotic LTR retroelements. Recent findings describing various pools of single-domain nonviral host peptidases, in prokaryotes and eukaryotes, indicate that the diversity of clan AA is larger than previously thought. The ensuing approach to investigate this enzyme group is by studying its phylogeny. However, clan AA is a difficult case to study due to the low similarity and different rates of evolution. This work is an ongoing attempt to investigate the different clan AA families to understand the cause of their diversity. Results In this paper, we…

Toward completion of the Earth’s proteome: an update a decade later

2017

Protein databases are steadily growing driven by the spread of new more efficient sequencing techniques. This growth is dominated by an increase in redundancy (homologous proteins with various degrees of sequence similarity) and by the incapability to process and curate sequence entries as fast as they are created. To understand these trends and aid bioinformatic resources that might be compromised by the increasing size of the protein sequence databases, we have created a less-redundant protein data set. In parallel, we analyzed the evolution of protein sequence databases in terms of size and redundancy. While the SwissProt database has decelerated its growth mostly because of a focus on i…

Using Deep Learning to Extrapolate Protein Expression Measurements

2020

Mass spectrometry (MS)-based quantitative proteomics experiments typically assay a subset of up to 60% of the ≈20 000 human protein coding genes. Computational methods for imputing the missing values using RNA expression data usually allow only for imputations of proteins measured in at least some of the samples. In silico methods for comprehensively estimating abundances across all proteins are still missing. Here, a novel method is proposed using deep learning to extrapolate the observed protein expression values in label-free MS experiments to all proteins, leveraging gene functional annotations and RNA measurements as key predictive attributes. This method is tested on four datasets, in…