The status of girls’ education in Education for All Fast Track Initiative partner countries

This viewpoint examines girls’ performance in primary education in the countries that joined the Education for All Fast Track Initiative between 2002 and 2008. At the time they joined the initiative, a first group of countries (high performers) had already achieved high and equal enrollment of girls and boys. Significant progress is evident in a second group of countries (good performers) after joining the initiative. In contrast, a third group of countries (weak performers) continue to struggle to achieve any increase in girls’ enrollment. The article summarizes the various interventions that countries have adopted to encourage girls to attend school and then highlights the importance of developing strategic plans based on extensive collaboration between development partners and government. The viewpoint concludes by describing the three challenges that remain: increasing learning, reducing the number of out-of-school girls, and improving girls’ performance in fragile and post-conflict countries.     

Improving educational outcomes & reducing absenteeism at remote villages with mobile technology and WhatsAPP: Findings from rural India

Reduction of teacher and student absenteeism, together with consistent teacher support and training, are critical factors in improving the quality of education in rural India. As part of an ongoing project involving schools and educational centers in rural areas spread across 21 Indian states, this study investigated how implementation of two simple, accessible technologies could not only reduce absenteeism but also increase teachers’ effectiveness and improve student performance. In addition to students and teachers, key stakeholders included educational coordinators who provided support and monitoring regarding use of WhatsApp and two additional apps designed specifically to support simple educational improvements. In our study we coded and analyzed nine months of messages (n?=?8968), both photographs and texts, posted by 26 participants. The number of text messages related to attendance was strongly positively correlated with frequency of interactions between coordinators and teachers. Our approach resulted in increased teacher and student attendance, as well as improvements in lessons and other planned educational activities. This model functions well in rural settings where there is poor internet connectivity and lack of supporting infrastructure. Remote schools can easily adopt this tablet-based model to reduce teacher absenteeism, improve teaching techniques, improve educational resources, and increase student performance.     

Modelling diffusion of a personalized learning framework

A new modelling approach for diffusion of personalized learning as an educational process innovation in social group comprising adopter-teachers is proposed. An empirical analysis regarding the perception of 261 adopter-teachers from 18 schools in India about a particular personalized learning framework has been made. Based on this analysis, teacher training (TT) has been identified as one of the dominant factor which can significantly influence decision by teachers to adopt the educational innovation. Different situations corresponding to fixed and time dependent dynamic carrying capacity of potential adopter-teachers at any time have been developed. New generalized models capturing the growth dynamics of the innovation diffusion process in conjunction with the evolutionary carrying capacity of potential adopters are investigated. The coupled dynamics allows forecasting the likelihood of success or failure of new educational innovation in a given context. Different scenarios for TT are considered based on??constant growth rate model; proportional growth rate model; stratified growth rate model. The proposed modelling framework would be of great interest to education policy makers as it has the potential to predict the likelihood of success or failure of new educational innovation.     

Increased serum concentrations of Soluble CD40 Ligand as a prognostic marker in patients with Acute Coronary Syndrome

CD40-CD40L interaction plays a significant role in the pathogenesis of atherosclerosis and coronary artery disease. The clinical predictive value of Soluble CD40 Ligand (sCD40L) was evaluated in patients with Acute Coronary Syndrome (ACS) and Non-Cardiac Chest Pain (NCCP). The levels of serum soluble CD 40 ligand were measured by ELISA in 485 patients admitted to emergency care unit, of which 89 patients were diagnosed as NCCP. The levels of sCD40L were significantly increased in patients with ACS when compared to controls and NCCP. Receiver Operator Characteristic (ROC) Curve analysis showed sCD40L to be a good discriminator between patients with ischemic heart disease and patients without ischemic heart disease. The area under the curve was found to be 0.940 with 95% CI (0.915 to 0.960) (P<0.0001). The cut off value from the ROC curve was 2.99 ng/ml, above which sCD40L was considered to be positive. Combined assessment of sCD40L, Troponin I and CK-MB enhanced the risk prediction and early classification of patients. sCD40L seems to be a promising biomarker for identification and risk stratification for patients with acute coronary syndrome.     

Comparison Between Serum Insulin Levels and Its Resistance With Biochemical,Clinical and Anthropometric Parameters in South Indian Children and Adolescents

There is a rising trend in the prevalence of insulin resistance among obese, overweight children and adolescents. The serum insulin and its correlation with biochemical, clinical and anthropometric parameters were evaluated in 185 children and adolescents (59 control, 52 obese, 49 overweight, 25 congenital heart disease) of age group 10–17 years. The levels of serum insulin were measured by ELISA. Serum insulin levels were found to be significantly increased in children who were obese, overweight and had congenital heart disease, than controls. Serum insulin levels positively correlated with BMI, WHR, and serum C-peptide, serum leptin, total cholesterol, triglycerides, LDL-cholesterol, systolic and diastolic blood pressure. Fasting glucose levels were found to be negatively correlated with serum insulin levels. HDL-cholesterol levels were non-significant among the study groups. We identified nine obese children (five girls and four boys) with the features of metabolic syndrome and 69% of obese and overweight children were identified with insulin resistance. Insulin resistance was strongly associated with metabolic syndrome and its components, especially with central obesity and hypertriglyceridemia.     

A new approach to personalization: integrating e-learning and m-learning

Most personalized learning systems are designed for either personal computers (e-learning) or mobile devices (m-learning). Our research has resulted in a cloud-based adaptive learning system that incorporates mobile devices into a classroom setting. This system is fully integrated into the formative assessment process and, most importantly, coexists with the present e-learning environment. Unlike many mobile learning systems, this system provides teachers with real-time feedback about individual and group learners. Its scalable and extendable architectural framework includes the server-side pedagogical recommendation of content adaptation based on the users?? knowledge-levels and preferences. Content is also automatically adapted to the end device that is being used. This context-aware delivery allows users to switch between e-learning and m-learning, and between devices, without any loss in personalized content. Our work builds on a web-based Adaptive Learning and Assessment System (ALAS) that is built on the Knowledge Space Theory model. At present, this system is used at school computer labs and our goal was to widen this user-base by enhancing this system to support personalized learning on mobile devices. This study describes our process of developing this technology, and contains an empirical analysis of students?? performance, perceptions, and achievements when using ALAS on both personal computers and mobile devices.     

Urinary 8-OHdG: A marker of oxidative stress to DNA and total antioxidant status in essential hypertension with South Indian population

Establishment of non-invasive urinary biomarker for the early prediction of essential hypertension (EH) is important. We evaluated whether estimation of urinary DNA, serves as a marker to predict the extent of cellular oxidative stress in essential hypertension. A total of 180 South Indian subjects aged 30–65 were recruited for the study. Of these hypertensive subjects investigated, 30 were newly diagnosed and were not on any antihypertensive drugs, but had systolic blood pressure 140–160 mmHg and diastolic blood pressure 95–100 mmHg and 75 hypertensive patients who already on drug therapy for one year and 75 were South Indian normotensive healthy controls with blood pressure ≤ 120/80 mmHg. The 8-OHdG level in urine was significantly increased in hypertensive patients (both newly diagnosed and who already on drug therapy) compared with control group. The significant increase in 8-OHdG was observed in newly diagnosed hypertensive patients compared with hypertensive patients who already on drug therapy. There was a significant decrease in serum TAS value in essential hypertensive group when compared to control group. The urinary 8-OHdG was independently correlated with serum TAS. Decreased TAS levels, which reflect to increased oxidative stress, may be the reason of increased urinary 8-OHdG in South Indian hypertensive patients. Our preliminary data suggest that the competitive ELISA for 8-OHdG appears to be a simple method for quantifying the extent of oxidative stress.     

“Everyone is Just Mixed to Me”: Exploring the Role of Multiraciality in College Students' Racial Claims

Examining discourses of multiraciality through college students' claims about race offers helpful insights for educators striving to create equitable campuses for mixed race students. One area of discourse is the positioning of multiracial individuals as evidence for the social construction of race. Another critiques the multiracial movement, with its large college student base, for reinforcing the biological concept of race. This study investigates how a diverse sample of 40 undergraduate students from two U.S. West Coast institutions used multiraciality in varied ways to assert their claims about race and whether it mattered. Six patterns of multiracial discourse emerged in their racial claims. These findings suggest that the novelty of multiraciality allows it to be invoked to support various claims about the nature of race, namely whether race is biological, and the current and future relationship between mixedness and “post-racial” progress. Implications for research and practice also are discussed.     

Estimation of Ischemia Modified Albumin (IMA) Levels in Patients with Acute Coronary Syndrome

Myocardial ischemia produces free radicals that catalyze a series of oxidative reactions that damage healthy tissues. The N-terminal sequence of albumin is one of the proteins modified by these highly reactive oxygen species and forms the ischemia modified albumin (IMA). This study involves investigations undertaken in different study groups to assess the levels of IMA. Mean serum IMA levels (U/mL) in patients with ST-segment elevated myocardial infarction (92.1 ± 10.6), non-ST-segment elevated myocardial infarction (87.3 ± 5.95) and unstable angina (UA) (88.9 ± 6.16) were significantly higher than non-cardiac chest pain (77.9 ± 6.69) and also healthy subjects (54.7 ± 17.2) (p < 0.001). IMA is a highly sensitive marker and has a high predictive value, which might prove the usefulness of this biomarker for early detection of myocardial ischemia. These data indicate a possible role of the IMA test in the early triage of patients with chest pain.