A novel mediatorless photo-bioelectrochemical sensor operated with a biofilm of the cyanobacterium Synechocystis PCC6803 wt. for herbicide detection with long term stability (>20 days) was successfully developed and tested....
Social networking is becoming a more powerful tool for students for communication, information sharing, and discussions. This paper presents a study, based on a survey questionnaire, which aims to investigate to what extent and...
It is possible to generate small amounts of electrical power directly from photosynthetic microorganisms-arguably the greenest of green energy. But will it have useful applications, and what are the hurdles if so?
Some photosynthetically active bacteria transfer electrons across their membranes, generating electrical photocurrents in biofilms. Devices harvesting solar energy by this mechanism are currently limited by the charge transfer...
This study applied an adoption model, inspired by the Technology Acceptance Model (TAM) and Multipurpose Information Appliances Adoption Model (MIAAM), to compare key variables explaining adoption patterns of a mobile coaching...
Collagen is the most abundant protein in the human body and serves many functions, from mechanical stability and elasticity in tendons and bone, to optical properties, such as transparency and a fine tuned refractive index in...
Microbial fuel cells (MFCs) exploit the ability of microorganisms to generate electrical power during metabolism of substrates. However, the low efficiency of extracellular electron transfer from cells to the anode and the use...
Factors governing the photoelectrochemical output of photosynthetic microorganisms are poorly understood, and energy loss may occur due to inefficient electron transfer (ET) processes. Here, we systematically compare the...
GMRES is one of the most popular iterative methods for the solution of large linear systems of equations that arise from the discretization of linear well-posed problems, such as boundary value problems for elliptic partial...
GMRES is one of the most popular iterative methods for the solution of large linear systems of equations that arise from the discretization of linear well-posed problems, such as boundary value problems for elliptic partial...
This article is part of the research project titled “Digital Teaching Materials in Early Childhood Education: Analysis and Proposals for Use at School and at Home (INFANCI@ DIGIT@L).” The fundamental objective was to analyse the...
Motivated by the need to better understand the ongoing role of artificial intelligence in businesses and to shift the focus from a purely technological and algorithmic perspective to one that encompasses human-computer...
Biophotovoltaic systems (BPVs) resemble microbial fuel cells, but utilise oxygenic photosynthetic microorganisms associated with an anode to generate an extracellular electrical current, which is stimulated by illumination....
Constrained least squares problems arise in a variety of applications, and many iterative methods are already available to compute their solutions. This paper proposes a new efficient approach to solve nonnegative linear least...
This paper surveys animportant class of methods that combine iterative projection methods and variational regularization methods for large-scale inverse problems. Iterative methods such as Krylov subspace methods are invaluable...