The Use of ICT in Education: Focus on Nigeria

The use of ICT in educational settings is a catalyst for change. The paper has sought to explore the role of ICT in education as we progress into the 21st century. The first phase focuses on the conceptual framework of the use of ICT in education. In this model the dependent variable is education and its sub variables are educational level of teachers and students which is directly affected by the independent variables which are the use of ICTs, ICT infrastructure and staff development. The second phase is the pilot study to answer two major questions: (i) Is ICT mandatory or voluntary at your institutions? (ii) What are the greatest barriers to using ICT to you as an academician? The results show that majority of the academic staff (86%) responded that ICT is mandatory. However, the survey revealed that most of the part-time lecturers ticked the use of ICT as voluntary. Some of these part-time lecturers in the cadre of professors, responded to Q32 as (do not fit my program). Actually in their dispensation, lecturing was done using the chalk board only. The research confirms that two major barriers affect the use of ICT; they are lack of time to use ICT the systems and training opportunities. Respondents on these are 38% and 32% respectively. Based on these findings, the paper recommended that, all employed teachers in Federal, State and Private institutions should undertake mandatory training and retraining on ICT programmers. The government should develop ICT policies and guidelines for the application of ICT in education

Pilot solar desalination plants in Bangladesh

Pilot solar desalination plants in Banglades

Soft Sensor for NOx Emission using Dynamical Neural Network

In this paper we propose a soft sensor for prediction of NOx emission from the combustion unit of industrial boilers. The soft sensor is based on a dynamical neural network model. A simplified structure of the dynamical neural network model is achieved by grouping the input variables using basic knowledge of the system. Neural network model is trained using real data logs of an industrial boiler. Principal Component Analysis (PCA) is used to reduce number of input variables. Lag space for the model is found by using genetic algorithm to find the best time delayed model. Lag space obtained from the linear model is then used for constriction of the dynamical neural network. The proposed model is validated using different data from the same boiler and its ability to accurately predict NOx emission from the boiler is demonstrated

Clinical outcome and virological characteristics of hepatitis B-related acute liver failure in the United States

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72563/1/j.1365-2893.2005.00581.x.pd

Dietary knowledge among adults with type 2 diabetes - Kingdom of Saudi Arabia

Dietary management is considered as a major step in assessing a patient’s knowledge related to nutritional aspects, treatment, and complications of diabetes. Diabetes patients frequently face difficulty in identifying the recommended diet, including its quality and quantity. In the Kingdom of Saudi Arabia (KSA), sedentary lifestyle, along with food choices and portion sizes, have increased considerably and this has resulted in the soaring risk of diabetes. In addition, there is paucity of literature focusing on the Dietary Knowledge (DK) of type 2 diabetics in KSA. The study aimed to assess and evaluate the DK of type 2 diabetics. An analytical cross-sectional study was conducted among 350 type 2 diabetics using a valid and reliable self-prepared questionnaire comprising of 21 questions. Results showed that type 2 diabetics had an overall poor DK (28.57%). Sub-group analysis further revealed that diabetes patients had poor knowledge related to the consumption of carbohydrates and food choices, whereas they had good knowledge related to lipids and fats, proteins and food types. The role of diet in controlling of diabetes is considered imperative, but still, diabetes patients are unaware how they should approach this issue. The patient empowerment approach can be used to counsel patients with a poor DK. Primary care physicians and dietitians should work together and carry out individualized, tailored and patient-centered dietary education sessions

Five decades of the International Endodontic Journal: bibliometric overview 1967–2020

Aim The International Endodontic Journal (IEJ) has served as a platform for research and clinical practice in Endodontics since 1967. This study provides a bibliographic analysis and overview of the publications that have appeared in the IEJ from 1967 to 2020. Methodology A literature search was performed in Elsevier's Scopus database to locate all the publications of the International Endodontic Journal. Various bibliometric software packages including the open-source visualization software Gephi and Biblioshiny (version 2.0) were employed for data visualization and analysis. Results A total of 3739 records with citation and bibliographic details were selected and retrieved to allow a bibliometric analysis to be performed. The bibliometric analysis indicates that the IEJ has grown both in terms of productivity and influence. Over time, the journal has been associated with an increase in the number of manuscripts published and the citations they have attracted, but with minor downward fluctuations in citations in the last few years. Bibliographic coupling of the IEJ articles revealed that the major research themes published in the journal include ‘endodontics’, ‘root canal treatment’, ‘calcium hydroxide’, ‘apical periodontitis’, ‘mineral trioxide aggregate’, ‘microbiology’, ‘cyclic fatigue’, ‘cone-beam computed tomography’ and ‘micro-computed tomography’. Authors affiliated to institutions in the UK were the major contributors to the journal and were linked with other countries such as Brazil, USA and Malaysia. The largest number of publications were from the University of São Paulo, Brazil. Conclusion The IEJ is one of the leading journals in Endodontology and has been providing a platform for innovative research and clinical reports for more than 50 years. Publications have been associated with a wide range of authors, institutions and countries around the world

Permafrost Landscape History Shapes Fluvial Chemistry, Ecosystem Carbon Balance, and Potential Trajectories of Future Change

Intensifying permafrost thaw alters carbon cycling by mobilizing large amounts of terrestrial substrate into aquatic ecosystems. Yet, few studies have measured aquatic carbon fluxes and constrained drivers of ecosystem carbon balance across heterogeneous Arctic landscapes. Here, we characterized hydrochemical and landscape controls on fluvial carbon cycling, quantified fluvial carbon fluxes, and estimated fluvial contributions to ecosystem carbon balance across 33 watersheds in four ecoregions in the continuous permafrost zone of the western Canadian Arctic: unglaciated uplands, ice-rich moraine, and organic-rich lowlands and till plains. Major ions, stable isotopes, and carbon speciation and fluxes revealed patterns in carbon cycling across ecoregions defined by terrain relief and accumulation of organics. In previously unglaciated mountainous watersheds, bicarbonate dominated carbon export (70% of total) due to chemical weathering of bedrock. In lowland watersheds, where soil organic carbon stores were largest, lateral transport of dissolved organic carbon (50%) and efflux of biotic CO2 (25%) dominated. In watersheds affected by thaw-induced mass wasting, erosion of ice-rich tills enhanced chemical weathering and increased particulate carbon fluxes by two orders of magnitude. From an ecosystem carbon balance perspective, fluvial carbon export in watersheds not affected by thaw-induced wasting was, on average, equivalent to 6%–16% of estimated net ecosystem exchange (NEE). In watersheds affected by thaw-induced wasting, fluvial carbon export approached 60% of NEE. Because future intensification of thermokarst activity will amplify fluvial carbon export, determining the fate of carbon across diverse northern landscapes is a priority for constraining trajectories of permafrost region ecosystem carbon balance

Ischemic Colitis of the Left Colon in a Diabetic Patient

Diabetes mellitus may affect the gastrointestinal tract possibly as a result of autonomic neuropathy. Here we present a 68-year-old male with non-insulin-dependent diabetes mellitus who presented with prolonged watery diarrhea and in whom imaging studies demonstrated ischemic colitis of the left colon. Resection of the affected colon resulted in sustained disappearance of symptoms