Peer Leaders’ Perceptions of Learning Experiences

Peer-Led Team Learning (PLTL) at Florida International University maintains a large volume of student and Peer Leader (PL) participation. Students, who participate in PLTL, on average, perform a letter grade better than their peers who do not participate in PLTL. To analyze PL perspectives on learning, a survey was conducted. The survey had a series of Likert scale statements and free response questions on learning. The nature of the questions are regarding barriers in education, individual learning strengths and weaknesses, and the perception that PLTL improved the learner’s capabilities to overcome these obstacles. Based on the survey responses, PLs perceive an improvement in the way they learn during and/or after becoming a PL. Students participating in PLTL exhibited an increase in course content retention and perceived improvement in study skills. Students in PLTL also perceived the PLTL workshop environment to be comfortable enough to address questions and misconceptions

Crystal structure of methyl N-ferrocenylcarbamate

The asymmetric unit of the title compound, [Fe(C5H5)(C7H8NO2)], contains two independent molecules consisting of a ferrocenyl moiety and a nitrogen-bound methyl carbamate. These units are almost perpendicular to each other, making dihedral angles of 87.74 (9) and 87.32 (8)°. In each independent molecule, the cyclopentadienyl rings deviate slightly from an eclipsed conformation and lie virtually parallel [dihedral angles = 1.42 (15) and 0.49 (13)°]. In the crystal, molecules are linked by N—H...O hydrogen bonds into chains along the a-axis direction

OligoIS: Scalable Instance Selection for Class-Imbalanced Data Sets

In current research, an enormous amount of information is constantly being produced, which poses a challenge for data mining algorithms. Many of the problems in extremely active research areas, such as bioinformatics, security and intrusion detection, or text mining, share the following two features: large data sets and class-imbalanced distribution of samples. Although many methods have been proposed for dealing with class-imbalanced data sets, most of these methods are not scalable to the very large data sets common to those research fields. In this paper, we propose a new approach to dealing with the class-imbalance problem that is scalable to data sets with many millions of instances and hundreds of features. This proposal is based on the divide-and-conquer principle combined with application of the selection process to balanced subsets of the whole data set. This divide-and-conquer principle allows the execution of the algorithm in linear time. Furthermore, the proposed method is easy to implement using a parallel environment and can work without loading the whole data set into memory. Using 40 class-imbalanced medium-sized data sets, we will demonstrate our method's ability to improve the results of state-of-the-art instance selection methods for class-imbalanced data sets. Using three very large data sets, we will show the scalability of our proposal to millions of instances and hundreds of features

Cirrosis hepática y su asociación a factores de riesgo en pacientes del Hospital Militar Central del Perú, 2017 - 2021

Objetivo: Determinar los factores de riesgo asociados a la presencia de cirrosis hepática en pacientes atendidos en el servicio de gastroenterología del Hospital Militar Central del Perú, en el periodo 2017-2021. Material y método: Se realizó un estudio observacional, analítico, retrospectivo, casos y controles, con una muestra en pacientes atendidos en el servicio de gastroenterología del Hospital Militar Central durante el periodo 2017-2021. Se utilizó una ficha de recolección de datos para obtener información de las historias clínicas. Para el análisis inferencial se realizó la prueba de chi-cuadrado para las variables categóricas, en el caso de las variables numérica se utilizaron pruebas estadísticas no paramétricas como la U de Mann Whitney debido a que las variables no presentaban distribución normal con un nivel de confiabilidad de 95%, para el análisis bivariado y multivariado se empleó un modelo de regresión logística multivariado crudo y ajustado. La medida de asociación fue el Odds Ratio (OR) con su respectivo intervalo de confianza (IC) del 95% y su p valor. Resultados: De los 396 pacientes atendidos en el Hospital Militar Central, se obtuvieron los siguientes datos. El sexo predominante fue el masculino con 19.9% para los pacientes con cirrosis y 38.6% para aquellos que no presentaban cirrosis. La variable IMC tuvo como peso optimo la de mayor frecuencia, con un valor de 21% para los pacientes cirróticos y 60.4% para los pacientes no cirróticos. La proporción de consumidores de alcohol fue 15.2% para los que presentaba cirrosis, mientras 9.1% para los que no presentaban cirrosis. La proporción de tabaquismo fue de 5.6% para los pacientes cirróticos, y 7.8 % para los no cirróticos. En cuanto a las comorbilidades, los pacientes con diabetes mellitus y cirrosis fueron de 10.4% y no cirróticos de 27.0%. Para hepatitis autoinmune, solo uno presentaba cirrosis 0.3% y 2 no la presentaban (0.5 %). La proporción de pacientes cirróticos con hepatitis C y B fue de 0.8% y 1.0%, respectivamente. El hipotiroidismo estuvo presente en 10.1% pacientes cirróticos y 6.3% sin cirrosis. Por último, los pacientes con cirrosis que tenían hígado graso fueron de 15.4%y para los que no presentaba cirrosis fueron de 20.2% Conclusiones: Se concluye que algunos factores epidemiológicos, clínicos y de laboratorio se encontraban asociados a cirrosis hepática; el consumo de alcohol se encontraba asociado a cirrosis hepática, sin embargo, no se encontró una asociación entre el consumo de tabaco y la cirrosis hepática. Se encontró asociación entre el hipotiroidismo y la cirrosis, sin embargo, no se encontró una asociación entre las variables diabetes mellitus, hipertensión arterial e hígado graso. De las variables de laboratorio se encontró que la hipoglicemia y la trombocitopenia se encontraban asociados a la presencia de cirrosis hepátic

Liderazgo del funcionario y satisfacción laboral según personal administrativo y asistencial del hospital Víctor larco Herrera - 2013

El objetivo de la investigación fue Determinar la relación que existe entre el Liderazgo del funcionario y la satisfacción laboral según el personal administrativo y asistencial del Hospital Víctor Larco Herrera - 2013, el estudio se realizó en el contexto de la búsqueda permanente de conocimientos respecto a la gestión organizacional en tiempos de cambios y capacitaciones permanentes promovidos por el Ministerio de Salud, considerando para ello la importancia del liderazgo que representa los funcionarios de las distintas organizaciones públicas. En este estudio particularmente se asumió el método hipotético deductivo de diseño no experimental transversal correlacional en la cual se aplicó un instrumento tipo escala de Likert para medir la percepción del nivel de Liderazgo de los Funcionarios y otro instrumento para recolectar datos de la satisfacción laboral de acuerdo a la percepción de los sujetos considerados como muestra de estudio. Las conclusiones arribadas indican que en las instituciones analizadas existe un nivel de liderazgo fuerte así como una correlación directa positiva y altamente significativa al nivel de ,000 entre estas dos variables analizadas

Influence of climate variables on resin yield and secretory structures in tapped Pinus pinaster Ait. in central Spain

The role of climate and soil water availability on resin yield was evaluated. Resin yield increased with temperature, radiation and evapotranspiration values. Resin yield and axial canal size were correlated with water deficit in spring. Above a certain threshold of cumulated water deficit, summer rainfall favored resin yield. Stand density and soil quality affected the relations between climate and resin yield

Quantitative indices of student social media engagement in tertiary education: a systematic review and a taxonomy

Recent studies have evaluated the use of social media as learning aids in tertiary education. Emerging research in this area has focused primarily on non-quantitative approaches to student social media engagement. However, quantitative engagement outcomes may be extracted from student posts, comments, likes, and views. The goal of the present review was to provide a research-informed taxonomy of quantitative and behavior-based metrics of student social media engagement. We selected 75 empirical studies comprising a pooled sample of 11,605 tertiary education students. Included studies used social media for educational purposes and reported student social media engagement outcomes (source databases: PsycInfo and ERIC). We used independent raters and stringent interrater agreement and data extraction processes to mitigate bias during the screening of references. Over half of the studies (52%, n =39) utilized ad hoc interviews and surveys to estimate student social media engagement, whereas thirty-three studies (44%) used some form of quantitative analysis of engagement. Based on this literature, we present a selection of countbased, time-based, and text-analysis metrics. The proposed taxonomy of engagement metrics resulting provides the methodological basis for the analysis of social media behavior in educational settings, particularly, for human operant and behavioral education studies. Implications for future research are discussedFunding Open Access funding enabled and organized by Council of Australian University Libraries and its member The University of Auckland. The frst author received a one-year research contract funded through a Ramon y Cajal Fellowship (Ministerio de Ciencia e Innovación, Spain) awarded to second author (reference no. RYC-2016-20706). This work was supported by a research contract between ABA España (Madrid, Spain) and The University of Auckland (Auckland, New Zealand) (project no. CON02739