Disruptive behaviour in the spanish school system. Legislative development

En la actualidad el incremento de los problemas de disciplina en el aula supone una preocupación para el profesorado y un obstáculo para el desarrollo del proceso de enseñanza-aprendizaje. Para que la intervención educativa sea eficaz, es necesario diferenciar los distintos tipos de conflictos, abordándolos desde diversas perspectivas. En este artículo se ha realizado un análisis documental de las sucesivas leyes educativas españolas, buscando en cada una la frecuencia de aparición de palabras claves referidas al comportamiento del alumnado, se ha analizado la respuesta ante la conflictividad y la diferencia entre el abordaje de la conducta grave y la disruptiva, menos grave. Como resultado se observa una evolución positiva de la normativa, influida por una sociedad más concienciada de la importancia de un buen clima escolar para conseguir el sano desarrollo personal y mejor aprendizaje del alumnado. La ley actual diferencia entre conductas graves y leves y muestra una mayor preocupación, no solo por frenar el incremento de estos comportamientos, sino también por prevenirlos. Pero todavía queda mucho por avanzar, pues aún no se dan orientaciones claras que ayuden al profesorado a abordar las conductas leves de forma adecuada, pese a las dificultades que suponen para el proceso de aprendizaje.Nowadays, increasing discipline problems in the classroom have become a concern for teachers and an obstacle for the development of the teaching-learning process. To adequately develop an effective educational intervention, it is essential to distinguish between different types of conflicts and to approach them from different perspectives. This paper presents an analysis of the successive educational Spanish laws, specifically examining the frequency of appearance of those keywords regarding students’ behavior in each law. The responses provided to approach conflict were studied, differentiating from serious misconduct and less serious disruptive behavior.Results show a positive evolution of the Spanish regulations: This is due to the increase of social awareness regarding the importance of creating a favourable school environment to ensure a healthy personal development and better learning. The current law distinguishes misconduct and disruptive behavior and also expresses its concern about the increase in this kind of behavior and provides ways of preventing it. However, further progress is still to be achieved as there is a need for clear guidelines for teachers to properly deal with disruptive behavior. Despite the difficulties that this kind of behavior entail to the learning process, these recommendations are still not laid down despite the difficulties faced by the learning process

Lysergol monohydrate

In the title compound [systematic name: (7-methyl-4,6,6a,7,8,9-hexa­hydro­indolo[4,3,2-fg]quinoline-9-yl)methanol monohydrate], C16H18N2O·H2O, the non-aromatic ring (ring C of the ergoline skeleton) directly fused to the aromatic rings is nearly planar, with a maximum deviation of 0.659 (3) Å, and shows an envelope conformation. In the crystal, hydrogen bonds between the lysergol and water mol­ecules contribute to the formation of layers parallel to (10)

Dispersion Entropy: A Measure of Electrohysterographic Complexity for Preterm Labor Discrimination

[EN] Although preterm labor is a major cause of neonatal death and often leaves health sequels in the survivors, there are no accurate and reliable clinical tools for preterm labor prediction. The Electrohysterogram (EHG) has arisen as a promising alternative that provides relevant information on uterine activity that could be useful in predicting preterm labor. In this work, we optimized and assessed the performance of the Dispersion Entropy (DispEn) metric and compared it to conventional Sample Entropy (SampEn) in EHG recordings to discriminate term from preterm deliveries. For this, we used the two public databases TPEHG and TPEHGT DS of EHG recordings collected from women during regular checkups. The 10th, 50th and 90th percentiles of entropy metrics were computed on whole (WBW) and fast wave high (FWH) EHG bandwidths, sweeping the DispEn and SampEn internal parameters to optimize term/preterm discrimination. The results revealed that for both the FWH and WBW bandwidths the best separability was reached when computing the 10th percentile, achieving a p-value (0.00007) for DispEn in FWH, c = 7 and m = 2, associated with lower complexity preterm deliveries, indicating that DispEn is a promising parameter for preterm labor prediction.This work was supported by the Spanish ministry of economy and competitiveness, the European Regional Development Fund (MCIU/AEI/FEDER, UE RTI2018-094449-A-I00-AR) and the Generalitat Valenciana (AICO/2019/220).Nieto-Del-Amor, F.; Ye Lin, Y.; Garcia-Casado, J.; Díaz-Martínez, MDA.; González Martínez, M.; Monfort-Ortiz, R.; Prats-Boluda, G. (2021). Dispersion Entropy: A Measure of Electrohysterographic Complexity for Preterm Labor Discrimination. SCITEPRESS. 260-267. https://doi.org/10.5220/0010316602600267S26026

Uterine myoelectrical activity as biomarker of successful induction with Dinoprostone: Influence of parity

[EN] The prolonged latent phase of Induction of Labour (IOL) is associated with increased risks of maternal mortality and morbidity. Electrohysterography (EHG) has outperformed traditional clinical measures monitoring labour progress. Although parity is agreed to be of particular relevance to the success of IOL, no previous EHG¿related studies have been found in the literature. We thus aimed to identify EHG¿biomarkers to predict IOL success (active phase of labour in¿¿¿24¿h) and determine the influence of the myoelectrical response on the parity of this group. Statistically significant and sustained differences between the successful and failed groups were found from 150¿min in amplitude and non¿linear parameters, especially in Spectral Entropy and in their progression rates. In the nulliparous¿parous comparison, parous women showed statistically significantly higher amplitude progression rate. These biomarkers would therefore be useful for early detection of the risk of induction failure and would help to develop more robust and generalizable IOL success¿prediction systems.This work was supported by the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund (MCIU/AEI/FEDER, UE RTI2018-094449-A-I00-AR and PID2021-124038OB-I00). Funding for open access charge: CRUE-Universitat Politècnica de ValènciaDiaz-Martinez, A.; Monfort-Ortiz, R.; Ye Lin, Y.; Garcia-Casado, J.; Nieto-Tous, M.; Nieto Del-Amor, F.; Diago-Almela, VJ.... (2023). Uterine myoelectrical activity as biomarker of successful induction with Dinoprostone: Influence of parity. Biocybernetics and Biomedical Engineering (Online). 43(1):142-156. https://doi.org/10.1016/j.bbe.2022.12.00414215643

Optimized Feature Subset Selection Using Genetic Algorithm for Preterm Labor Prediction Based on Electrohysterography

[EN] Electrohysterography (EHG) has emerged as an alternative technique to predict preterm labor, which still remains a challenge for the scientific-technical community. Based on EHG parameters, complex classification algorithms involving non-linear transformation of the input features, which clinicians found difficult to interpret, were generally used to predict preterm labor. We proposed to use genetic algorithm to identify the optimum feature subset to predict preterm labor using simple classification algorithms. A total of 203 parameters from 326 multichannel EHG recordings and obstetric data were used as input features. We designed and validated 3 base classifiers based on k-nearest neighbors, linear discriminant analysis and logistic regression, achieving F1-score of 84.63 ± 2.76%, 89.34 ± 3.5% and 86.87 ± 4.53%, respectively, for incoming new data. The results reveal that temporal, spectral and non-linear EHG parameters computed in different bandwidths from multichannel recordings provide complementary information on preterm labor prediction. We also developed an ensemble classifier that not only outperformed base classifiers but also reduced their variability, achieving an F1-score of 92.04 ± 2.97%, which is comparable with those obtained using complex classifiers. Our results suggest the feasibility of developing a preterm labor prediction system with high generalization capacity using simple easy-to-interpret classification algorithms to assist in transferring the EHG technique to clinical practice.This work was supported by the Spanish Ministry of Economy and Competitiveness, the European Regional Development Fund (MCIU/AEI/FEDER, UE RTI2018-094449-A-I00-AR) and by the Generalitat Valenciana (AICO/2019/220).Nieto-Del-Amor, F.; Prats-Boluda, G.; Martínez-De-Juan, JL.; Díaz-Martínez, MDA.; Monfort-Ortiz, R.; Diago-Almela, VJ.; Ye Lin, Y. (2021). Optimized Feature Subset Selection Using Genetic Algorithm for Preterm Labor Prediction Based on Electrohysterography. Sensors. 21(10):1-15. https://doi.org/10.3390/s21103350S115211

Assessment of Dispersion and Bubble Entropy Measures for Enhancing Preterm Birth Prediction Based on Electrohysterographic Signals

[EN] One of the remaining challenges for the scientific-technical community is predicting preterm births, for which electrohysterography (EHG) has emerged as a highly sensitive prediction technique. Sample and fuzzy entropy have been used to characterize EHG signals, although they require optimizing many internal parameters. Both bubble entropy, which only requires one internal parameter, and dispersion entropy, which can detect any changes in frequency and amplitude, have been proposed to characterize biomedical signals. In this work, we attempted to determine the clinical value of these entropy measures for predicting preterm birth by analyzing their discriminatory capacity as an individual feature and their complementarity to other EHG characteristics by developing six prediction models using obstetrical data, linear and non-linear EHG features, and linear discriminant analysis using a genetic algorithm to select the features. Both dispersion and bubble entropy better discriminated between the preterm and term groups than sample, spectral, and fuzzy entropy. Entropy metrics provided complementary information to linear features, and indeed, the improvement in model performance by including other non-linear features was negligible. The best model performance obtained an F1-score of 90.1 ± 2% for testing the dataset. This model can easily be adapted to real-time applications, thereby contributing to the transferability of the EHG technique to clinical practice.This work was supported by the Spanish Ministry of Economy and Competitiveness, the European Regional Development Fund (MCIU/AEI/FEDER, UE RTI2018-094449-A-I00-AR), and by the Generalitat Valenciana (AICO/2019/220)Nieto Del-Amor, F.; Beskhani, R.; Ye Lin, Y.; Garcia-Casado, J.; Díaz-Martínez, MDA.; Monfort-Ortiz, R.; Diago-Almela, VJ.... (2021). Assessment of Dispersion and Bubble Entropy Measures for Enhancing Preterm Birth Prediction Based on Electrohysterographic Signals. Sensors. 21(18):1-17. https://doi.org/10.3390/s21186071S117211

El grado de competencia mediática en la ciudadanía andaluza

El proyecto de investigación que presentamos tiene como objeto implementar en la ciudadanía andaluza el concepto de «competencia audiovisual» (audiovisual skills), diagnosticando las necesidades y carencias de los ciudadanos, para en futuros estudios establecer un programa evaluativo que derive en propuestas formativas. Este proyecto fue impulsado inicialmente por el Consell de l’Audiovisual de Catalunya (CAC) a través de la Universidad Pompeu Fabra. Posteriormente, con el reconocimiento del Ministerio de Educación, la propuesta se hace extensiva a todo el territorio estatal. Progresivamente irán añadiéndose al equipo inicial investigadores procedentes de diecisiete Universidades de diferentes Comunidades Autónomas del Estado español. En Andalucía se ha contado con instituciones y Universidades de todas las provincias

Preemptive simultaneous pancreas kidney transplantation has survival benefit to patients

Several organ allocation protocols give priority to wait-listed simultaneous kidney-pancreas (SPK) transplant recipients to mitigate the higher cardiovascular risk of patients with diabetes mellitus on dialysis. The available information regarding the impact of preemptive simultaneous kidney-pancreas transplantation on recipient and graft outcomes is nonetheless controversial. To help resolve this, we explored the influence of preemptive simultaneous kidney-pancreas transplants on patient and graft survival through a retrospective analysis of the OPTN/UNOS database, encompassing 9690 simultaneous transplant recipients between 2000 and 2017. Statistical analysis was performed applying a propensity score analysis to minimize bias. Of these patients, 1796 (19%) were transplanted preemptively. At ten years, recipient survival was significantly superior in the preemptive group when compared to the non-preemptive group (78.9% vs 71.8%). Dialysis at simultaneous kidney-pancreas transplantation was an independent significant risk for patient survival (hazard ratio 1.66 [95% confidence interval 1.32-2.09]), especially if the dialysis duration was 12 months or longer. Preemptive transplantation was also associated with significant superior kidney graft survival compared to those on dialysis (death-censored: 84.3% vs 75.4%, respectively; estimated half-life of 38.57 [38.33 -38.81] vs 22.35 [22.17 - 22.53] years, respectively). No differences were observed between both groups neither for pancreas graft survival nor for post-transplant surgical complications. Thus, our results sustain the relevance of early referral for pancreas transplantation and the importance of pancreas allocation priority in reducing patient mortality after simultaneous kidney-pancreas transplantation

Chromatographic analysis of the essential oil and flavonoids in bracts of Ipomoea bracteata Cav. (Convolvulaceae)

The bracts of Ipomoea bracteata Cav, were analyzed to determine the composition of the essential oil and to identify the flavonoids present in this part of the flower. The essential oil composition was determined by gas chromatograph

Seasonal influence on the biosynthesis of ergoline alkaloids in the genus Cuscuta (Convolvulaceae)

Stems of Cuscuta americana L., C. arvensis Beyr., C. corymbosa R. & P. var. stylosa Engelm. and C. tinctoria Mart. were analyzed to elucidate the influence that seasonal changes may have an the synthesis of ergoline alkaloids, glycoresins and karuanoic glucosides. From samples of the four species, collected in the rainy season as well as in the dry season, the chromatographic profiles of the 3 groups of compounds were determined, using as references standard markers. The ergoline alkaloids were found only during the rainy season in all samples, whereas the glycoresins and the kauranoic glucosides are produced during both seasons and with a different distribution pattern far each species