A Prediction for Teacher Commitment; Effects of Managerial Style, Burnout and Demographics

The Purpose of this study is to determine the effects of managerial style, teacher burnout and demographics on teacher commitment. In accordance with this aim, a quantitative casual research design was implemented. Data of the research were gathered from 280 primary school teacher, by a questionnaire including managerial style, teacher burnout, teacher commitment and teacher demographics forms. For each research questions, Hierarchical Linear Regression analysis was carried out. According to the findings, task oriented behaviors of principal, emotional exhaustion level of the teacher, self-inadequacy feelings of teacher, marital status and work time spending at the same school predicts teacher commitment significantly. On the other hand, human orientation, isolation level from work environment, physical burnout level, vocational burnout level, gender, professional experience, educational level and working status variables does not predicts teacher commitment

If You Can, You Can

VCU distinguishes itself as being one of Virginia’s most diverse institutions of higher education. This project seeks to support and extend this wonderful attribute by encouraging a climate of equity and inclusiveness. If You Can, You Can creates a common platform and language in support of the university’s mission to address disparities concerning equality and inclusiveness, and provides a model that is useful in promoting all dimensions of diversity. In addition to developing this overarching model, Team Real Connections worked with the VCU Athletics department to implement a prototype program called “If you can play, you can play,” which promotes inclusivity for those in the LGBTQ community within athletics. That initiative is comprised of the following components: ● the production of a marketing video to introduce and promote the campaign ● the submission of the video to the national “You Can Play” project (http://youcanplayproject.org/) ● a survey assessing how VCU athletes perceive the current climate in athletics ● training sessions with athletic coaches and staff to promote awareness and advocacy for the LGBTQ community ● dissemination of posters, postcards, and wristbands to promote the campaign and publicize events ● programs in October (LGBTQ History Month) with speakers Pat Griffin and Hudson Taylor to bring further awareness to the importance of inclusivity ● promotion of the campaign and events at various athletic events The success of the prototype campaign demonstrates that If You Can, You Can has the potential to serve as a comprehensive platform for units around VCU who wish to promote inclusivity and equity along other dimensions of diversity. Ultimately, the team envisions a university-wide initiative that unites VCU in achieving its goal of becoming a premier urban research university where everyone is welcomed, supported, and valued

Investigation of anxiety levels of patients with chest pain admitted to emergency department

AbstractIntroductionWe aimed to investigate the demographical features, anxiety levels and clinical findings of the patients admitted to our Emergency department (ED) due to chest pain.MethodsPatients with chest pain older than 18 years were included into the study. Demographical features such as age, sex and education level, initial diagnosis in the ED, whether they were hospitalized or coronary intervention performed, were recorded. To determine the anxiety levels of the patients, State-trait Anxiety Inventory (STAI) was performed.ResultsTwo-hundred and eight adult patients with chest pain were included into the study. We could not determine a relationship between STAI levels of patients according to demographical findings, however, STAI scores tended to decrease by age. Considering the education levels of the patients, it was determined that STAI scores of university graduates were higher than others. The STAI scores of patients discharged from the ED were higher than those hospitalized. When patients were compared according to whether coronary intervention (CI) was performed or not, it was determined that patients who did not require CI had higher STAI scores. When coronary lesion localization of the patients hospitalized was investigated, any relationship could not be determined.ConclusionIn this study, we determined that anxiety levels of the patients with chest pain do not correlate with the severity of the disease. Higher anxiety levels of patients discharged from ED when compared to those with ACS is a challenging problem for both ED physicians and cardiologists

Into the Weeds: Using Institutional Data to Support Program Improvement Across the University

This presentation was given at the 2016 Coalition of Urban and Metropolitan Universities Conference in Washington, D.C

Clinical features and major bleeding predictors for 161 fatal cases of COVID-19: A retrospective observational study

The aim of this study was to investigate the patient characteristics and laboratory parameters for COVID-19 non-survivors as well as to find risk factors for major bleeding complications. For this retrospective study, the data of patients who died with COVID-19 in our intensive care unit were collected in the period of March 20 - April 30, 2020. D-dimer, platelet count, C-reactive protein (CRP), troponin, and international normalized ratio (INR) levels were recorded on the 1st, 5th, and 10th days of hospitalization in order to investigate the possible correlation of laboratory parameter changes with in-hospital events. A total of 161 non-survivors patients with COVID-19 were included in the study.  The median age was 69.8±10.9 years, and 95 (59%) of the population were male. Lung-related complications were the most common in-hospital complications. Patients with COVID-19 had in-hospital complications such as major bleeding (39%), hemoptysis (14%), disseminated intravascular coagulation (13%), liver failure (21%), ARDS (85%), acute kidney injury (40%), and myocardial injury (70%). A multiple logistics regression analysis determined that age, hypertension, diabetes mellitus, use of acetylsalicylic acid (ASA) or low molecular weight heparin (LMWH), hemoglobin, D-dimer, INR, and acute kidney injury were independent predictors of major bleeding. Our results showed that a high proportion of COVID-19 non-survivors suffered from major bleeding complications

Evaluation of nutritional status in pediatric intensive care unit patients: the results of a multicenter, prospective study in Turkey

IntroductionMalnutrition is defined as a pathological condition arising from deficient or imbalanced intake of nutritional elements. Factors such as increasing metabolic demands during the disease course in the hospitalized patients and inadequate calorie intake increase the risk of malnutrition. The aim of the present study is to evaluate nutritional status of patients admitted to pediatric intensive care units (PICU) in Turkey, examine the effect of nutrition on the treatment process and draw attention to the need for regulating nutritional support of patients while continuing existing therapies.Material and MethodIn this prospective multicenter study, the data was collected over a period of one month from PICUs participating in the PICU Nutrition Study Group in Turkey. Anthropometric data of the patients, calorie intake, 90-day mortality, need for mechanical ventilation, length of hospital stay and length of stay in intensive care unit were recorded and the relationship between these parameters was examined.ResultsOf the 614 patients included in the study, malnutrition was detected in 45.4% of the patients. Enteral feeding was initiated in 40.6% (n = 249) of the patients at day one upon admission to the intensive care unit. In the first 48 h, 86.82% (n = 533) of the patients achieved the target calorie intake, and 81.65% (n = 307) of the 376 patients remaining in the intensive care unit achieved the target calorie intake at the end of one week. The risk of mortality decreased with increasing upper mid-arm circumference and triceps skin fold thickness Z-score (OR = 0.871/0.894; p = 0.027/0.024). The risk of mortality was 2.723 times higher in patients who did not achieve the target calorie intake at first 48 h (p = 0.006) and the risk was 3.829 times higher in patients who did not achieve the target calorie intake at the end of one week (p = 0.001). The risk of mortality decreased with increasing triceps skin fold thickness Z-score (OR = 0.894; p = 0.024).ConclusionTimely and appropriate nutritional support in critically ill patients favorably affects the clinical course. The results of the present study suggest that mortality rate is higher in patients who fail to achieve the target calorie intake at first 48 h and day seven of admission to the intensive care unit. The risk of mortality decreases with increasing triceps skin fold thickness Z-score

Numerical Model Calibration and a Parametric Study Based on the Out-Of-Plane Drift Capacity of Stone Masonry Walls

Failure under seismic action generally occurs in the form of out-of-plane collapses of walls before reaching their in-plane strength in historical stone masonry buildings. Consistent finite element (FE) macro modeling has emerged as a need for use in seismic assessments of these walls. This paper presents the numerical model calibration of U-shaped multi-leaf stone masonry wall specimens tested under ambient vibrations and out-of-plane (OOP) load reversals. The uncertain elastic parameters were obtained by manual calibration of the numerical models based on ambient vibration test (AVT) data of the specimens. To obtain nonlinear calibration parameters, static pushover analyses were performed on FE models simulating quasi-static tests. The calibrated numerical models matched well with the experimental results in terms of load–drift response and damage distribution. As a result, the modulus of elasticity and tensile and compressive degrading strength parameters of masonry walls were proposed. A parametric study was conducted to examine the effects of different materials and geometric properties (tensile strength, aspect ratio, slenderness ratio, and geometric scale) on the OOP behavior of stone masonry walls. A quite different strain distribution was obtained in the case of a large aspect ratio, while it was determined that the geometric scale had no effect on the strain distribution. Tensile strength was the dominant parameter affecting the load–drift response of the models. Within the presented work, a practical tool for out-of-plane seismic assessment has been proposed for the structures covered in this paper

Numerical Model Calibration and a Parametric Study Based on the Out-Of-Plane Drift Capacity of Stone Masonry Walls

Failure under seismic action generally occurs in the form of out-of-plane collapses of walls before reaching their in-plane strength in historical stone masonry buildings. Consistent finite element (FE) macro modeling has emerged as a need for use in seismic assessments of these walls. This paper presents the numerical model calibration of U-shaped multi-leaf stone masonry wall specimens tested under ambient vibrations and out-of-plane (OOP) load reversals. The uncertain elastic parameters were obtained by manual calibration of the numerical models based on ambient vibration test (AVT) data of the specimens. To obtain nonlinear calibration parameters, static pushover analyses were performed on FE models simulating quasi-static tests. The calibrated numerical models matched well with the experimental results in terms of load–drift response and damage distribution. As a result, the modulus of elasticity and tensile and compressive degrading strength parameters of masonry walls were proposed. A parametric study was conducted to examine the effects of different materials and geometric properties (tensile strength, aspect ratio, slenderness ratio, and geometric scale) on the OOP behavior of stone masonry walls. A quite different strain distribution was obtained in the case of a large aspect ratio, while it was determined that the geometric scale had no effect on the strain distribution. Tensile strength was the dominant parameter affecting the load–drift response of the models. Within the presented work, a practical tool for out-of-plane seismic assessment has been proposed for the structures covered in this paper

A novel derivative-based classification method for hyperspectral data processing

In hyperspectral classification, a derivative of reflectance spectra is used directly or by fusion with the reflectance spectra. In this way, classification performance is improved. However, on the land cover, especially for plant species, the reflectance spectra may exhibit differences depending on a plant age and maturity level. This situation makes traditional classification methods which are based on time-dependent spectral similarity. In addition, the problem of classification of the species which have similar spectral properties is still valid. As a solution to time dependency and spectral similarity problems, in this study, a new and more generic method based on the spectral derivative is proposed. The method is tested for hyperspectral images which are captured at different time of the year and different places, in the life cycle of species. Test results show that proposed method successfully classifies the land cover time-independent and it is superior to the classical classification methods