Dictogloss o instrucción de procesamiento: ¿Qué funciona mejor en la precisión de escritura de los estudiantes de EFL?

Although many investigations have been carried out into the consequence of applying different approaches to teaching writing, there is still a lack of the empirical comparing research into two influential focus-on-form methods of generating writing accuracy. This study is therefore significant as it is the very first study that compares the relative effects of the two instructional interventions of dictogloss and processing instruction on EFL learners’ writing accuracy. To achieve the abovementioned aim, 56 teenage Iranian participants with elementary level English were homogenized and selected out of 90 learners at a language school, using the results of a piloted sample Key English Test (KET). These participants were randomly divided into two experimental groups with 28 participants in each: one a dictogloss and the other a processing instruction group. A writing test was administered as a pretest to homogenize these participants regarding writing accuracy and then in one group dictogloss tasks and in the other processing instruction tasks were practiced through 8 sessions. A picture sequence writing task was administered as a posttest at the end of the treatments to both groups. Finally the mean scores of both groups on the posttest were compared through an independent samples t-test. The result rejected the null hypothesis demonstrating that dictogloss, through a mixture of collaborative factors in the teaching and learning process, could significantly motivate the participants who outperformed the processing instruction group regarding their writing accuracy.Aunque se han hecho muchas investigaciones sobre las consecuencias de aplicar diferentes enfoques a la escritura, todavía falta la comparación empírica de la investigación de dos influyentes focos en los métodos de forma sobre la exactitud de la escritura.Por lo tanto, este estudio tiene importancia, ya que es el primer estudio que compara los efectos relativos de dos intervenciones instruccionales de la instrucción de desfalco y procesamiento en la exactitud de la escritura de los alumnos de EFL. Para lograr el objetivo de este estudio, 56 adolescentes iraníes participantes en el nivel primario fueron homogeneizados y seleccionados de entre 90 estudiantes de una escuela de idiomas, basándose en el resultado de una muestra piloto de Key English Test (KET). Estos participantes fueron divididos aleatoriamente en dos grupos experimentales con 28 participantes en cada uno: grupos de instrucción de dictogloss y de procesamiento. Se administró un test de escritura como preprueba para homogeneizar a estos participantes con respecto a la precisión de escritura y luego en un grupo de tareas de dictogloss y en el otro trabajo de instrucción de procesamiento se practicaron a través de 8 sesiones. Al final de los tratamientos, se administró a ambos grupos una prueba de escritura de secuencias de imágenes como prueba posterior. Finalmente se compararon las puntuaciones medias de ambos grupos en el posttest a través de una prueba t de muestras independientes. El resultado rechazó la hipótesis nula que demostraba que el dictogloss, a través de una mezcla de factores colaborativos en el proceso de enseñanza y aprendizaje, podía motivar significativamente a los participantes que superaron al grupo de instrucción de procesamiento en cuanto a su precisión de escritura

PAI1 blocks NMDA receptor-mediated effects of tissue-type plasminogen activator on cell signaling and physiology

The fibrinolysis proteinase tissue-type plasminogen activator (tPA, also known as PLAT) triggers cell signaling and regulates cell physiology. In PC12 cells, Schwann cells and macrophages, the N-methyl-D-aspartate receptor (NMDA-R) mediates tPA signaling. Plasminogen activator inhibitor-1 (PAI1, also known as SERPINE1) is a rapidly acting inhibitor of tPA enzyme activity. Although tPA-initiated cell signaling is not dependent on its enzyme active site, we show that tPA signaling is neutralized by PAI1. In PC12 cells, PAI1 blocked the ERK1/2 activation mediated by tPA as well as neurite outgrowth. In Schwann cells, PAI1 blocked tPA-mediated ERK1/2 activation and cell migration. In macrophages, PAI1 blocked the ability of tPA to inhibit IκBα phosphorylation and cytokine expression. The cell signaling activity of tPA-PAI1 complex was rescued when the complex was formed with PAI1R76E, which binds to LRP1 with decreased affinity, by pre-treating cells with the LRP1 antagonist receptor-associated protein and upon LRP1 gene silencing. The inhibitory role of LRP1 in tPA-PAI1 complex-initiated cell signaling was unanticipated given the reported role of LRP1 as an NMDA-R co-receptor in signaling responses elicited by free tPA or α2-macroglobulin. We conclude that PAI1 functions as an in-hibitor not only of the enzyme activity of tPA but also of tPA receptor-mediated activities

LDL receptor-related protein-1 regulates NFκB and microRNA-155 in macrophages to control the inflammatory response

LDL receptor-related protein-1 (LRP1) is an endocytic and cell-signaling receptor. In mice in which LRP1 is deleted in myeloid cells, the response to lipopolysaccharide (LPS) was greatly exacerbated. LRP1 deletion in macrophages in vitro, under the control of tamoxifen-activated Cre-ER(T) fusion protein, robustly increased expression of proinflammatory cytokines and chemokines. In LRP1-expressing macrophages, proinflammatory mediator expression was regulated by LRP1 ligands in a ligand-specific manner. The LRP1 agonists, α2-macroglobulin and tissue-type plasminogen activator, attenuated expression of inflammatory mediators, even in the presence of LPS. The antagonists, receptor-associated protein (RAP) and lactoferrin (LF), and LRP1-specific antibody had the entirely opposite effect, promoting inflammatory mediator expression and mimicking LRP1 deletion. NFκB was rapidly activated in response to RAP and LF and responsible for the initial increase in expression of proinflammatory mediators. RAP and LF also significantly increased expression of microRNA-155 (miR-155) after a lag phase of about 4 h. miR-155 expression reflected, at least in part, activation of secondary cell-signaling pathways downstream of TNFα. Although miR-155 was not involved in the initial induction of cytokine expression in response to LRP1 antagonists, miR-155 was essential for sustaining the proinflammatory response. We conclude that LRP1, NFκB, and miR-155 function as members of a previously unidentified system that has the potential to inhibit or sustain inflammation, depending on the continuum of LRP1 ligands present in the macrophage microenvironment

Evaluation of deep learning against conventional limit equilibrium methods for slope stability analysis

This paper presents a comparison study between methods of deep learning as a new cat-egory of slope stability analysis, built upon the recent advances in artificial intelligence and conventional limit equilibrium analysis methods. For this purpose, computer code was developed to cal-culate the factor of safety (FS) using four limit equilibrium methods: Bishop’s simplified method, the Fellenius method, Janbu’s simplified method, and Janbu’s corrected method. The code was ver-ified against Slide2 in RocScience. Subsequently, the average FS values were used to approximate the “true” FS of the slopes for labeling the images for deep learning. Using this code, a comprehensive dataset of slope images with wide ranges of geometries and soil properties was created. The average FS values were used to label the images for implementing two deep learning models: a multiclass classification and a regression model. After training, the deep learning models were used to predict the FS of an independent set of slope images. Finally, the performance of the models was compared to that of the conventional methods. This study found that deep learning methods can reach accuracies as high as 99.71% while improving computational efficiency by more than 18 times compared with conventional methods

Long Short-Term Memory Based Subsurface Drainage Control for Rainfall-Induced Landslide Prevention

Subsurface drainage has been widely accepted to mitigate the hazard of landslides in areas prone to flooding. Specifically, the use of drainage wells with pumping systems has been recognized as an effective short-term solution to lower the groundwater table. However, this method has not been well considered for long-term purposes due to potentially high labor costs. This study aims to investigate the idea of an autonomous pumping system for subsurface drainage by leveraging con-ventional geotechnical engineering solutions and a deep learning technique—Long-Short Term Memory (LSTM)—to establish a geotechnical cyber-physical system for rainfall-induced landslide prevention. For this purpose, a typical soil slope equipped with three pumps was considered in a computer simulation. Forty-eight cases of rainfall events with a wide range of varieties in duration, total rainfall depths, and different rainfall patterns were generated. For each rainfall event, transient seepage analysis was performed using newly proposed Python code to obtain the corresponding pump’s flow rate data. A policy of water pumping for maintaining groundwater at a desired level was assigned to the pumps to generate the data. The LSTM takes rainfall event data as the input and predicts the required pump’s flow rate. The results from the trained model were validated using evaluation metrics of root mean square error (RMSE), mean absolute error (MAE), and R2. The R2-scores of 0.958, 0.962, and 0.954 for the predicted flow rates of the three pumps exhibited high accuracy of the predictions using the trained LSTM model. This study is intended to make a pio-neering step toward reaching an autonomous pumping system and lowering the operational costs in controlling geosystems

Fibrinolysis protease receptors promote activation of astrocytes to express pro-inflammatory cytokines.

BACKGROUND:Astrocytes contribute to the crosstalk that generates chronic neuro-inflammation in neurological diseases; however, compared with microglia, astrocytes respond to a more limited continuum of innate immune system stimulants. Recent studies suggest that the fibrinolysis system may regulate inflammation. The goal of this study was to test whether fibrinolysis system components activate astrocytes and if so, elucidate the responsible biochemical pathway. METHODS:Primary cultures of astrocytes and microglia were prepared from neonatal mouse brains. The ability of purified fibrinolysis system proteins to elicit a pro-inflammatory response was determined by measuring expression of the mRNAs encoding tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), and chemokine (C-C motif) ligand 2 (CCL2). IκBα phosphorylation also was measured. Plasminogen activation in association with cells was detected by chromogenic substrate hydrolysis. The activity of specific receptors was tested using neutralizing antibodies and reagents. RESULTS:Astrocytes expressed pro-inflammatory cytokines when treated with plasminogen but not when treated with agonists for Toll-like Receptor-4 (TLR4), TLR2, or TLR9. Microglia also expressed pro-inflammatory cytokines in response to plasminogen; however, in these cells, the response was observed only when tissue-type plasminogen activator (tPA) was added to activate plasminogen. In astrocytes, endogenously produced urokinase-type plasminogen activator (uPA) converted plasminogen into plasmin in the absence of tPA. Plasminogen activation was dependent on the plasminogen receptor, α-enolase, and the uPA receptor, uPAR. Although uPAR is capable of directly activating cell-signaling, the receptor responsible for cytokine expression and IκBα phosphorylation response to plasmin was Protease-activated Receptor-1 (PAR-1). The pathway, by which plasminogen induced astrocyte activation, was blocked by inhibiting any one of the three receptors implicated in this pathway with reagents such as εACA, α-enolase-specific antibody, uPAR-specific antibody, the uPA amino terminal fragment, or a pharmacologic PAR-1 inhibitor. CONCLUSIONS:Plasminogen may activate astrocytes for pro-inflammatory cytokine expression through the concerted action of at least three distinct fibrinolysis protease receptors. The pathway is dependent on uPA to activate plasminogen, which is expressed endogenously by astrocytes in culture but also may be provided by other cells in the astrocytic cell microenvironment in the CNS

Impaired aortic distensibility measured by computed tomography is associated with the severity of coronary artery disease.

Impaired aortic distensibility index (ADI) is associated with cardiovascular risk factors. This study evaluates the relation of ADI measured by computed tomographic angiography (CTA) with the severity of coronary atherosclerosis in subjects with suspected coronary artery disease (CAD). Two hundred and twenty-nine subjects,age 63 ± 9 years, 42% female, underwent coronary artery calcium (CAC) scanning and CTA, and their ADI and Framingham risk score (FRS) were measured. End-systolic and end-diastolic (ED) cross-sectional-area(CSA) of ascending-aorta (AAo) was measured 15-mm above the left-main coronary ostium. ADI was defined as: [(Δlumen-CSA)/(lumen-CSA in ED × systemic-pulse-pressure) × 10(3)]. ADI measured by 2D-trans-thoracic echocardiography (TTE) was compared with CTA-measured ADI in 26 subjects without CAC. CAC was defined as 0, 1-100, 101-400 and 400+. CAD was defined as luminal stenosis 0, 1-49% and 50%+. There was an excellent correlation between CTA- and TTE-measured ADI (r(2)=0.94, P=0.0001). ADI decreased from CAC 0 to CAC 400+; similarly from FRS 1-9% to FRS 20% + (P<0.05). After adjustment for risk factors, the relative risk for each standard deviation decrease in ADI was 1.66 for CAC 1-100, 2.26 for CAC 101-400 and 2.32 for CAC 400+ as compared to CAC 0; similarly, 2.36 for non-obstructive CAD and 2.67 for obstructive CAD as compared to normal coronaries. The area under the ROC-curve to predict significant CAD was 0.68 for FRS, 0.75 for ADI, 0.81 for CAC and 0.86 for the combination (P<0.05). Impaired aortic distensibility strongly correlates with the severity of coronary atherosclerosis. Addition of ADI to CAC and traditional risk factors provides incremental value to predict at-risk individuals

Hemodynamic support with TandemHeart™ in tako-tsubo cardiomyopathy – a case report

Tako-tsubo cardiomyopathy is characterized by chest pain, electrocardiographic abnormalities mimicking acute myocardial infarction, akinesis or dyskinesis of apical or mid left ventricular segments, and the absence of obstructive coronary artery disease. Tako-tsubo cardiomyopathy is usually a potentially reversible form of cardiac dysfunction. A careful literature search revealed no previous report of a patient requiring mechanical circulatory support in tako-tsubo cardiomyopathy. We report a patient with tako-tsubo cardiomyopathy, ventricular fibrillation, and hemodynamic instability requiring a left ventricular assist device (TandemHeart™) followed by improvement of left ventricular ejection fraction to 45%

Relationship between Lighting and Noise Levels and Productivity of the Occupants in Automotive Assembly Industry

Work environment affects human productivity and his performance. The aims of this study were to investigate the effects of lighting and noise levels on human productivity in the automotive assembly industry. Method. Subjects were 181 workers from different parts of an automobile assembly industry. Illuminance (Lx) at the height of 30 inches from the surface of work station and noise (dBA) were locally measured. Also human productivity by the Goldsmith and Hersey scale (1980) was measured. Data were analyzed by using SPSS v20 Pearson correlation coefficient. Results. The results showed that the relationship between noise level and human productivity is negative and significant (, ), but there was no significant relationship between lighting and human productivity (). Conclusion. Based on the results, in assembly tasks, noise has a negative impact on human productivity, and lighting does not affect this. So, in order to increase employee productivity, noise control and reduction to less than the standard values (less than 85 dB) is necessary

Cytochrome P450 in Pharmacogenetics: An Update

cited By 1Interindividual variability in drug disposition is a major cause of lack of efficacy and adverse effects of drug therapies. The majority of hepatically cleared drugs are metabolized by cytochrome P450 (CYP) enzymes, mainly in families CYP1, CYP2, and CYP3. Genes encoding these enzymes are highly variable with allele distribution showing considerable differences between populations. Genetic variability of especially CYP2C9, CYP2C19, CYP2D6, and CYP3A5 is known to have clear clinical impact on drugs that are metabolized by these enzymes. CYP1A2, CYP2A6, CYP2B6, CYP2C8, and CYP3A4 all show variability that affects pharmacokinetics of drugs as well, but so far the evidence regarding their clinical implications is not as conclusive. In this review, we provide an up-to-date summary of the pharmacogenetics of the major human drug-metabolizing CYP enzymes, focusing on clinically significant examples. © 2018 Elsevier Inc.Peer reviewe