A weighted power distribution mechanism under fuzzy behavior systems

In real situations, players might represent administrative areas of different scales; players might have different activity abilities. Thus, we propose an extension of the Banzhaf-Owen index in the framework of fuzzy transferable-utility games by considering supreme-utilities and weights simultaneously, which we name the weighted fuzzy Banzhaf-Owen index. Here we adopt three existing notions from traditional game theory and reinterpret them in the framework of fuzzy transferable-utility games. The first one is that this weighted index could be represented as an alternative formulation in terms of excess functions. The second is that, based on an reduced game and related consistency, we offer an axiomatic result to present the rationality of this weighted index. Finally, we introduce two dynamic processes to illustrate that this weighted index could be reached by players who start from an arbitrary efficient payoff vector and make successive adjustments.

A Wireless High-Sensitivity Fetal Heart Sound Monitoring System

In certain cases, the condition of the fetus can be revealed by the fetal heart sound. However, when the sound is detected, it is mixed with noise from the external environment as well as internal disturbances. Our exclusive sensor, which was constructed of copper with an enclosed cavity, was designed to prevent external noise. In the sensor, a polyvinylidene fluoride (PVDF) piezoelectric film, with a frequency range covering that of the fetal heart sound, was adopted to convert the sound into an electrical signal. The adaptive support vector regression (SVR) algorithm was proposed to reduce internal disturbance. The weighted-index average algorithm with deviation correction was proposed to calculate the fetal heart rate. The fetal heart sound data were weighted automatically in the window and the weight was modified with an exponent between windows. The experiments show that the adaptive SVR algorithm was superior to empirical mode decomposition (EMD), the self-adaptive least square method (LSM), and wavelet transform. The weighted-index average algorithm weakens fetal heart rate jumps and the results are consistent with reality.

Do well-reputed companies carry out higher quality social reporting? An empirical approach

PurposeThe purpose of this research objective was to analyse social reporting within MERCO Business companies both from the point of view of the quantity of information disclosed and the references about their quality. This approach constitutes a novelty with respect to previous literature on the subject.Design/methodology/approachThis paper assesses how social reporting is being carried out by the companies included in the MERCO Corporate Reputation Business Monitor, MERCO Business, during the period 2014–2016. The methodological design include the construction of a weighted index based on two unweighted indexes related to the quantity revealed and the quality detected. In addition, this study integrates intellectual capital and social responsibility approaches in order to deep into these voluntary disclosures.FindingsWhile social reporting is considerable from a quantitative point of view within MERCO Business companies, they do not reach very high levels of quality, which is good to counteract the final value of the quantity–quality index that the authors' propose.Research limitations/implicationsIn MERCO Business companies, quantity is not a proxy for quality within social reporting. In this sense, only considering both dimensions it will be possible to assess these disclosures in a more complete way.Practical implicationsThis study allows a more accurate and comparable view of social reporting than those studies that only focus on how much information is disclosed. Besides, it involves an important advance in the identification of the relative quality of social reporting, opening a new line of research that will be key to comparing this type of disclosures in a more homogeneous way. Likewise, the results can be applied in future studies in the intellectual capital field given the complementarity between both types of disclosures.Social implicationsLikewise, these results will be of interest for future actions aimed at regulating the improvement of the quality of social reporting in the hands of managers, investors and regulators.Originality/valueThe authors have tested the value of quality in social reporting using a weighted index amongst the most reputable companies in the Spanish scenario. These disclosures have been compared with and without the use of it in order to deduce its value to obtain valid conclusions about social reporting.

Solubility-Weighted Index: fast and accurate prediction of protein solubility

Motivation Recombinant protein production is a widely used technique in the biotechnology and biomedical industries, yet only a quarter of target proteins are soluble and can therefore be purified. Results We have discovered that global structural flexibility, which can be modeled by normalized B-factors, accurately predicts the solubility of 12 216 recombinant proteins expressed in Escherichia coli. We have optimized these B-factors, and derived a new set of values for solubility scoring that further improves prediction accuracy. We call this new predictor the ‘Solubility-Weighted Index’ (SWI). Importantly, SWI outperforms many existing protein solubility prediction tools. Furthermore, we have developed ‘SoDoPE’ (Soluble Domain for Protein Expression), a web interface that allows users to choose a protein region of interest for predicting and maximizing both protein expression and solubility. Availability and implementation The SoDoPE web server and source code are freely available at https://tisigner.com/sodope and https://github.com/Gardner-BinfLab/TISIGNER-ReactJS, respectively. The code and data for reproducing our analysis can be found at https://github.com/Gardner-BinfLab/SoDoPE_paper_2020. Supplementary information Supplementary data are available at Bioinformatics online.