Ellegaardmolina1101

Particularly, boron and manganese significantly increased retention of key macronutrients and energy including gross energy, crude protein and crude lipid. Our study demonstrates the importance of several macro and trace minerals in prawn diets and the pressing need to refine their requirements for P. monodon.Research has largely documented the damaging consequences of intimate partner violence. However, the literature presents an important gap in the identification of factors that may strengthen resilience in the victims, especially in the case of mothers and pregnant women. The present study aimed at investigating the experience of abused mothers engaged in an educative path in a Mother-Child Assisted Living Center. A qualitative descriptive methodology was used. Face-to-face in-depth interviews were conducted with a purposive sample of eight women. Four main themes emerged from the interviews (1) improvement in the mother-child relationship; (2) a process of personal change during the educative path; (3) the rebuilding of trust relationships; and (4) attitudes and hopes toward the future. Taken together, these findings highlight the process of resilience, conceived from a socioecological perspective as the ability to use resources rooted in interconnected systems. The implications of these findings are discussed.Background The literature favors discussion on socio-spatial conditions at the macro- (city) and micro- (housing) level that promote healthy aging in place. Objectives (a) Identify the association between physical and social characteristics of the family home and the functional level and quality of life of older people and (b) provide normative data on adequate/inadequate households based on the Home Observation for Measurement of the Environment (HOME) inventory and the Spanish Informant Questionnaire on Cognitive Decline in the Elderly (S-IQCODE) test. Methods In total, 79 healthy older adults completed the HOME inventory and the Montreal Cognitive Assessment (MoCA), S-IQCODE, Kessler Psychological Distress Scale (K-10) and ICEpop CAPability measure for Older people (ICECAP-O) tests. Ruboxistaurin hydrochloride A regression model, the effect size and the means of the scores of HOME (adequate/inadequate) test and the cognitive level (optimal/normal) were calculated. Results The regression model discloses that adequate home scores are associated with cognitive level (odds ratio (OR) 0.955, confidence interval (CI)95% 0.918-0.955); quality of life (OR 6.542, CI95% 1.750-24.457), living with other people (OR 5.753, CI95% 1.456-22.733) and level of education (OR 0.252, CI95% 0.064-0.991). The normative data between HOME and S-IQCODE scores showed a good adjustment (d = 0.70). Conclusion There is a significant relationship between the physical environment of the home and personal variables (sociodemographic information, quality of life and cognitive functionality). In addition, from this last variable, the normative data of an adequate/inadequate household for an older person have been established.Methyl-CpG binding protein 2 (MeCP2) is a transcriptional regulator and a chromatin-binding protein involved in neuronal development and maturation. Loss-of-function mutations in MeCP2 result in Rett syndrome (RTT), a neurodevelopmental disorder that is the main cause of mental retardation in females. MeCP2 is an intrinsically disordered protein (IDP) constituted by six domains. Two domains are the main responsible elements for DNA binding (methyl-CpG binding domain, MBD) and recruitment of gene transcription/silencing machinery (transcription repressor domain, TRD). These two domains concentrate most of the RTT-associated mutations. R106W and R133C are associated with severe and mild RTT phenotype, respectively. We have performed a comprehensive characterization of the structural and functional impact of these substitutions at molecular level. Because we have previously shown that the MBD-flanking disordered domains (N-terminal domain, NTD, and intervening domain, ID) exert a considerable influence on the structural and functional features of the MBD (Claveria-Gimeno, R. et al. Sci Rep. 2017, 7, 41635), here we report the biophysical study of the influence of the protein scaffold on the structural and functional effect induced by these two RTT-associated mutations. These results represent an example of how a given mutation may show different effects (sometimes opposing effects) depending on the molecular context.The detection and identification of road anomalies and obstacles in the road infrastructure has been investigated by the research community using different types of sensors. This paper evaluates the detection and identification of road anomalies/obstacles using the data collected from the Inertial Measurement Unit (IMU) installed in a vehicle and in particular from the data generated by the accelerometers' and gyroscopes' components. Inspired by the successes of the application of deep learning to various identification problems, this paper investigates the application of Convolutional Neural Network (CNN) to this specific problem. In particular, we propose a novel approach in this context where the time-frequency representation (i.e., spectrogram) is used as an input to the CNN rather than the original time domain data. This approach is evaluated on an experimental dataset collected using 12 different vehicles driving for more than 40 km of road. The results show that the proposed approach outperforms significantly and across different sampling rates both the application of CNN to the original time domain representation and the application of shallow machine learning algorithms. The approach achieves an identification accuracy of 97.2%. The results presented in this paper are based on an extensive optimization both of the CNN algorithm and the spectrogram implementation in terms of window size, type of window, and overlapping ratio. The accurate detection of road anomalies/obstacles could be useful to road infrastructure managers to monitor the quality of the road surface and to improve the accurate positioning of autonomous vehicles because road anomalies/obstacles could be used as landmarks.